# Awesome-TimeSeries-SpatioTemporal-Diffusion-Model **Repository Path**: liweiowl/Awesome-TimeSeries-SpatioTemporal-Diffusion-Model ## Basic Information - **Project Name**: Awesome-TimeSeries-SpatioTemporal-Diffusion-Model - **Description**: A survey and paper list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.). - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2026-02-23 - **Last Updated**: 2026-02-23 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Diffusion Model for Time Series and Spatio-Temporal Data [![Awesome](https://awesome.re/badge.svg)](https://awesome.re) ![PRs Welcome](https://img.shields.io/badge/PRs-Welcome-green) ![Stars](https://img.shields.io/github/stars/yyysjz1997/Awesome-TimeSeries-SpatioTemporal-Diffusion-Model) A curated list of **Diffusion Models** for **Time Series**, **SpatioTemporal Data** and **Tabular Data** with awesome resources (paper, code, application, review, survey, etc.), which aims to comprehensively and systematically summarize the recent advances to the best of our knowledge. We will continue to update this list with the newest resources. If you find any missed resources (paper/code) or errors, please feel free to open an issue or make a pull request. ## A Survey on Diffusion Models for Time Series and Spatio-Temporal Data 🎉 **Our survey has been accepted by ACM Computing Surveys (Impact Factor = 28.0). [Link]** We warmly welcome citations from the community!
**[Paper Page]** **[专知 中文解读]** **[时序人 中文解读]** **[知乎 中文解读]** **[[All Summarized and Categorized Papers](https://docs.google.com/spreadsheets/d/1X5ujA-yXCzkzz4Uu9ErP8mu_Jg2zWk4fwZrwrMcqMoI/edit#gid=0)]**
**Authors**: Yiyuan Yang, Ming Jin, Haomin Wen, Chaoli Zhang, Yuxuan Liang*, Lintao Ma, Yi Wang, Chenghao Liu, Bin Yang, Zenglin Xu, Jiang Bian, Shirui Pan, Qingsong Wen* |![Figure1](img/overview.png)| |:--:| | *Figure 1. An overview of diffusion models for time series and spatio-temporal data analysis.* | 🙋 Please let us know if you find a mistake or have any suggestions! ✨ If you found this survey and repository useful, please consider starring this repository and citing our survey paper: ```bibtex @article{10.1145/3783986, author = {Yang, Yiyuan and Jin, Ming and Wen, Haomin and Zhang, Chaoli and Liang, Yuxuan and Ma, Lintao and Wang, Yi and Liu, Chenghao and Yang, Bin and Xu, Zenglin and Pan, Shirui and Wen, Qingsong}, title = {A Survey on Diffusion Models for Time Series and Spatio-Temporal Data}, year = {2026}, issue_date = {June 2026}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, volume = {58}, number = {8}, issn = {0360-0300}, url = {https://doi.org/10.1145/3783986}, doi = {10.1145/3783986}, abstract = {Diffusion models have been widely used in time series and spatio-temporal data, enhancing generative, inferential, and downstream capabilities. These models are applied across diverse fields such as healthcare, recommendation, climate, energy, audio, and traffic. By separating applications for time series and spatio-temporal data, we offer a structured perspective on model category, task type, data modality, and practical application domain. This study aims to provide a solid foundation for researchers and practitioners, inspiring future innovations that tackle traditional challenges and foster novel solutions in diffusion model-based data mining tasks and applications. For more detailed information, we have open-sourced a repository.1}, journal = {ACM Comput. Surv.}, month = feb, articleno = {196}, numpages = {39}, keywords = {Diffusion models, time series, spatio-temporal data, generative model, temporal data} } ``` ```bibtex @article{yang2024survey, title={A Survey on Diffusion Models for Time Series and Spatio-Temporal Data}, author={Yiyuan Yang and Ming Jin and Haomin Wen and Chaoli Zhang and Yuxuan Liang and Lintao Ma and Yi Wang and Chenghao Liu and Bin Yang and Zenglin Xu and Jiang Bian and Shirui Pan and Qingsong Wen}, year={2024}, eprint={2404.18886}, archivePrefix={arXiv}, primaryClass={cs.LG} } ``` ## Taxonomy Document ✨ **[[Paper List and Taxonomy](https://docs.google.com/spreadsheets/d/1X5ujA-yXCzkzz4Uu9ErP8mu_Jg2zWk4fwZrwrMcqMoI/edit#gid=0)]**. 🙋 Please feel free to submit comments on any new works! ## Contents - [Diffusion Model for Time Series and SpatioTemporal Data](#diffusion-model-for-time-series-and-spatiotemporal-data) - [Contents](#contents) - [Diffusion Model for Time Series Data](#diffusion-model-for-time-series-data) - [Prediction](#prediction) - [Generation](#generation) - [Imputation](#imputation) - [Anomaly Detection](#anomaly-detection) - [Classification and Regression](#classification-and-regression) - [Causal Inference](#causal-inference) - [Event Prediction and Classification](#event-prediction-and-classification) - [Foundation Model](#foundation-model) - [Diffusion Model for SpatioTemporal Data](#diffusion-model-for-spatiotemporal-data) - [Diffusion Model for Tabular Data](#diffusion-model-for-tabular-data) - [Applications](#applications) - [Healthcare](#healthcare) - [Sequential Recommendation](#sequential-recommendation) - [Weather](#weather) - [Energy and Electricity](#energy-and-electricity) - [Math and Physics](#math-and-physics) - [Finance](#finance) - [AIOps](#aiops) - [Environment](#environment) - [Traffic](#traffic) - [Manufacturing](#manufacturing) - [Audio](#audio) - [Biology](#biology) - [Communication](#communication) - [Related Diffusion Model Resources and Surveys](#related-diffusion-model-resources-and-surveys) ## Diffusion Model for Time Series Data ### Prediction * Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting, in *ICML* 2021. [[paper](https://arxiv.org/abs/2101.12072)] [[official-code](https://github.com/zalandoresearch/pytorch-ts)] * ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models, in *ArXiv* 2021. [[paper](https://arxiv.org/abs/2106.10121)] [[official-code](https://github.com/yantijin/ScoreGradPred)] * Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement, in *NeurIPS* 2022. [[paper](https://arxiv.org/abs/2301.03028)] [[official-code](https://github.com/PaddlePaddle/PaddleSpatial/tree/main/research/D3VAE)] * Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction, in *CIKM* 2023. [[paper](https://arxiv.org/abs/2309.00073)] [[official-code](https://github.com/koa-fin/dva)] * Modeling Temporal Data as Continuous Functions with Process Diffusion, in *ICML* 2023. [[paper](https://arxiv.org/abs/2211.02590)] * Non-autoregressive Conditional Diffusion Models for Time Series Prediction, in *ICML* 2023. [[paper](https://dl.acm.org/doi/10.5555/3618408.3619692)] * Graph Convolution Recurrent Denoising Diffusion Model for Multivariate Probabilistic Temporal Forecasting, in *International Conference on Advanced Data Mining and Applications (ADMA)* 2023. [[paper](https://dl.acm.org/doi/10.5555/3618408.3619692)] * Data-driven and knowledge-guided denoising diffusion model for flood forecasting, in *Expert Systems with Applications* 2023. [[paper](https://www.sciencedirect.com/science/article/pii/S0957417423034103)] * Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2301.03028)] [[official-code](https://github.com/paddlepaddle/paddlespatial)] * DiffECG: A Generalized Probabilistic Diffusion Model for ECG Signals Synthesis, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2306.01875)] * Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2307.11494)] * Data Augmentation for Seizure Prediction with Generative Diffusion Model, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2306.08256)] * DiffLoad: Uncertainty Quantification in Load Forecasting with Diffusion Model, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2306.01001)] * Denoising Diffusion Probabilistic Models for Probabilistic Energy Forecasting, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2212.02977)] [[official-code](https://github.com/EstebanHernandezCapel/DDPM-Power-systems-forecasting)] * TDSTF: Transformer-based Diffusion probabilistic model for Sparse Time series Forecasting, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2301.06625)] [[official-code](https://github.com/pingchang818/tdstf)] * Graph Convolution Recurrent Denoising Diffusion Model for Multivariate Probabilistic Temporal Forecasting, *Working Paper* 2023. [[link](https://aip.riken.jp/events/event_154762/)] * Latent Diffusion Models for Generative Precipitation Nowcasting with Accurate Uncertainty Quantification, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2304.12891)] [[official-code](https://github.com/MeteoSwiss/ldcast)] * WiREDiff: a Wind Resolution-Enhancing Diffusion Model, in *Working Paper* 2023. [[link](https://rupakv.com/wirediff.html#:~:text=WiREDiff%20is%20a%20novel%20application,interval%20of%20predicted%20wind%20velocities.)] [[paper](https://rupakv.com/pdfs/wirediff_report.pdf)] [[official-code](https://github.com/RupaKurinchiVendhan/WiREDiff)] * A novel gear RUL prediction method by diffusion model generation health index and attention guided multi-hierarchy LSTM, in *Scientific Reports* 2024. [[paper](https://www.nature.com/articles/s41598-024-52151-y)] * A transformer-based diffusion probabilistic model for heart rate and blood pressure forecasting in Intensive Care Unit, in *Computer Methods and Programs in Biomedicine* 2024. [[paper](https://www.sciencedirect.com/science/article/pii/S0169260724000567)] [[official-code](https://github.com/PingChang818/TDSTF)] * Quantifying uncertainty: Air quality forecasting based on dynamic spatial-temporal denoising diffusion Probabilistic model, in *Environmental Research* 2024. [[paper](https://www.sciencedirect.com/science/article/pii/S0013935124003426)] * DiffSTOCK: Probabilistic relational Stock Market Predictions using Diffusion Models, in *ICASSP* 2024. [[paper](https://arxiv.org/pdf/2403.14063)] * Multi-Modality Conditional Diffusion Model for Time Series Forecasting of Live Sales Volume, in *ICASSP* 2024. [[paper](https://ieeexplore.ieee.org/abstract/document/10446307)] * Latent Diffusion Transformer for Probabilistic Time Series Forecasting, in *AAAI* 2024. [[paper](https://ojs.aaai.org/index.php/AAAI/article/view/29085)] * Comparative Analysis of TEC Prediction Models During Geomagnetic Storm and Quiet Conditions Using Diffusion, Transformer, and SARIMA, 2024. [[paper](https://essopenarchive.org/doi/full/10.22541/essoar.171291801.18571788/v1)] * Residential Customer Baseline Load Estimation Based on Conditional Denoising Diffusion Probabilistic Model, in *IEEE 4th International Conference in Power Engineering Applications (ICPEA)* 2024. [[paper](https://ieeexplore.ieee.org/abstract/document/10498265)] * Variational Schrödinger Diffusion Models, in *ICML* 2024. [[paper](https://arxiv.org/abs/2405.04795)] * Diff-MGR: Dynamic Causal Graph Attention and Pattern Reproduction Guided Diffusion Model for Multivariate Time Series Probabilistic Forecasting, in *Information Sciences* 2024. [[paper](https://www.sciencedirect.com/science/article/pii/S002002552400656X)] * Multi-modal transform-based fusion model for new product sales forecasting, in *Engineering Applications of Artificial Intelligence* 2024. [[paper](https://www.sciencedirect.com/science/article/pii/S0952197624007644)] * Probabilistic Building Load Forecasting via Conditional Diffusion Model, in *e-Energy* 2024. [[paper](https://dl.acm.org/doi/pdf/10.1145/3632775.3661980)] * Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model, in *ICML* 2024. [[paper](https://openreview.net/pdf?id=BNH8spaR3l)] * Data-driven and knowledge-guided denoising diffusion probabilistic model for runoff uncertainty prediction, in *Journal of Hydrology* 2024. [[paper](https://www.sciencedirect.com/science/article/pii/S0022169424009521)] * DiffDA: a diffusion model for weather-scale data assimilation, in *ArXiv* 2024. [[paper](https://arxiv.org/abs/2401.05932)] * DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Load, in *ArXiv* 2024. [[paper](https://arxiv.org/abs/2402.13548)] [[official-code](https://github.com/LSY-Cython/DiffPLF)] * CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding, in *ArXiv* 2024. [[paper](https://arxiv.org/abs/2405.02384)] * Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask, in *ArXiv* 2024. [[paper](https://arxiv.org/abs/2405.05959)] [[official-code](https://github.com/EQTPartners/TSDE)] * Generative Pre-Trained Diffusion Paradigm for Zero-Shot Time Series Forecasting, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2406.02212)] * Stochastic Diffusion: A Diffusion Probabilistic Model for Stochastic Time Series Forecasting, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2406.02827)] * Treeffuser: Probabilistic Predictions via Conditional Diffusions with Gradient-Boosted Trees, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2406.07658)] [[official-code](https://github.com/blei-lab/treeffuser)] * DiffLoad: Uncertainty Quantification in Electrical Load Forecasting with the Diffusion Model, in *IEEE Transactions on Power Systems* 2024. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10645307)] [[official-code](https://github.com/hkuedl/DiffLoad-Uncertainty-Quantification-Load-Forecasting)] * A novel wind power forecast diffusion model based on prior knowledge, in *IET Renewable Power Generation* 2024. [[paper](https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/rpg2.13087)] * RespDiff: An End-to-End Multi-scale RNN Diffusion Model for Respiratory Waveform Estimation from PPG Signals, in *ArXiv* 2024. [[paper](https://www.researchgate.net/publication/383988916_RespDiff_An_End-to-End_Multi-scale_RNN_Diffusion_Model_for_Respiratory_Waveform_Estimation_from_PPG_Signals)] * PV-Diff: Probability Prediction of Short-term Photovoltaic Power Interval Based on Conditional Diffusion Model, in *Chinese Control Conference* 2024. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10661972)] * BP-Diff: a conditional diffusion model for cuffless continuous BP waveform estimation using U-Net, in *Physiological Measurement* 2024. [[paper](https://iopscience.iop.org/article/10.1088/1361-6579/ad7fcc/meta)] * Treating Brain-inspired Memories as Priors for Diffusion Model to Forecast Multivariate Time Series, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2409.18491)] * Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecasting, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2410.02168)] [[official-code](https://github.com/LSY-Cython/CCDM)] * DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2410.02791)] * EEG-DIF: Early Warning of Epileptic Seizures through Generative Diffusion Model-based Multi-channel EEG Signals Forecasting, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2410.17343)] [[official-code](https://github.com/JZK00/EEG-DIF)] * Retrieval-Augmented Diffusion Models for Time Series Forecasting, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2410.18712)] [[official-code](https://github.com/stanliu96/RATD)] * Diffusion-driven Incomplete Multimodal Learning for Air Quality Prediction, in *ACM Transactions on Internet of Things* 2024. [[paper](https://dl.acm.org/doi/abs/10.1145/3702243)] [[official-code](https://github.com/pestasu/IMMAir)] * DiffBatt: A Diffusion Model for Battery Degradation Prediction and Synthesis, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2410.23893)] [[official-code]( https://github.com/HamidrezaEiv/DiffBatt.git)] * Time Series Prediction Based on the Probability Diffusion Model, in *IEEE Information Technology, Networking, Electronic and Automation Control Conference* 2024. [[paper](https://ieeexplore.ieee.org/document/10733342)] * RNDiff: Rainfall Nowcasting with Condition Diffusion Model, in *Pattern Recognition* 2024. [[paper](https://www.sciencedirect.com/science/article/pii/S0031320324009440)] [[official-code](https://github.com/ybu-lxd/SRNDiff)] * A Diffusion–Attention-Enhanced Temporal (DATE-TM) Model: A Multi-Feature-Driven Model for Very-Short-Term Household Load Forecasting, in *Energies* 2025. [[paper](https://www.mdpi.com/1996-1073/18/3/486)] * Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction, in *ArXiv* 2025. [[paper](https://arxiv.org/pdf/2501.13794)] * Collaborative Deterministic-Diffusion Model for Probabilistic Urban Spatiotemporal Prediction, in *ArXiv* 2025. [[paper](https://arxiv.org/pdf/2502.11013)] * Generative Diffusion Model-Based Deep Learning Framework for Remaining Useful Life Prediction, in *IEEE Internet of Things Journal* 2025. [[paper](https://ieeexplore.ieee.org/abstract/document/10916662)] * Diffusion Model Based Probabilistic Day-ahead Load Forecasting, in *ArXiv* 2025. [[paper](https://arxiv.org/pdf/2503.06697)] * DHMoE: Diffusion Generated Hierarchical Multi-Granular Expertise for Stock Prediction, in *AAAI* 2025. [[paper](https://ojs.aaai.org/index.php/AAAI/issue/view/634)] * Multimodal Conditioned Diffusive Time Series Forecasting, in *ArXiv* 2025. [[paper](https://arxiv.org/pdf/2504.19669)] [[official-code](https://github.com/synlp/MCD-TSF)] * Non-stationary Diffusion For Probabilistic Time Series Forecasting, in *ICML* 2025. [[paper](https://arxiv.org/pdf/2505.04278)] [[official-code](https://github.com/wwy155/NsDiff)] * Conditional Diffusion Model with Nonlinear Data Transformation for Time Series Forecasting, in *ICML* 2025. [[paper](https://openreview.net/pdf?id=kcUNMKqrCg)] * Bridging the Last Mile of Prediction: Enhancing Time Series Forecasting with Conditional Guided Flow Matching, in *ArXiv* 2025. [[paper](https://arxiv.org/pdf/2507.07192)] * FESD: Feature-Enhanced Structured-State-Space Diffusion Model for Battery SOH Prediction and Imputation, in *IEEE Transactions on Instrumentation and Measurement* 2025. [[paper](https://ieeexplore.ieee.org/abstract/document/11134532)] * DiffAT: Effective data augmentation with diffusion models for time series forecasting, in *Engineering Applications of Artificial Intelligence* 2025. [[paper](https://www.sciencedirect.com/science/article/pii/S0952197625020998)] * An LLM-Enhanced Conditional Diffusion Model for Mobile Traffic Prediction, in *IEEE Communications Magazine* 2025. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11152704)] * Generative Self-Supervised Time Series Forecasting Leveraging Wavelet Diffusion, in *IEEE Transactions on Instrumentation and Measurement* 2025. [[paper](https://ieeexplore.ieee.org/abstract/document/11197480)] * Temporal latent diffusion model for machine degradation trend forecasting, in *Knowledge-Based Systems* 2025. [[paper](https://www.sciencedirect.com/science/article/pii/S0950705125017915)] * Expert denoising for enhanced diffusion-based time series forecasting, in *Expert Systems with Applications* 2025. [[paper](https://www.sciencedirect.com/science/article/pii/S0957417425038849)] ### Generation * WaveGrad: Estimating Gradients for Waveform Generation, in *ICLR* 2021. [[paper](https://arxiv.org/abs/2009.00713)] * DiffWave: A Versatile Diffusion Model for Audio Synthesis, in *ICLR* 2021. [[paper](https://arxiv.org/abs/2009.09761)] [[official-code](https://diffwave-demo.github.io/)] * CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation, in *NeurIPS* 2021. [[paper](https://arxiv.org/pdf/2107.03502)] [[official-code](https://github.com/ermongroup/csdi)] * Conditional Simulation Using Diffusion Schrödinger Bridges, in *UAI* 2022. [[paper](https://arxiv.org/abs/2202.13460)] [[official-code](https://github.com/vdeborto/cdsb)] * Diffusing Gaussian Mixtures for Generating Categorical Data, in *AAAI* 2023. [[paper](https://arxiv.org/abs/2303.04635)] [[official-code](https://github.com/networkslab/gmcd)] * Diffusion Generative Models in Infinite Dimensions, in *AISTATS* 2023. [[paper](https://arxiv.org/abs/2212.00886)] [[official-code](https://github.com/gavinkerrigan/functional_diffusion)] * Multi-scale Conditional Diffusion Model for Deposited Droplet Volume Measurement in Inkjet Printing Manufacturing, in *Journal of Manufacturing Systems* 2023. [[paper](https://www.sciencedirect.com/science/article/pii/S0278612523002042)] * Diffusion Augmentation for Sequential Recommendation, in *CIKM* 2023. [[paper](https://dl.acm.org/doi/abs/10.1145/3583780.3615134)] [[official-code](https://github.com/liuqidong07/DiffuASR)] * Short-Term Wind Power Scenario Generation Based on Conditional Latent Diffusion Models, in *IEEE Transactions on Sustainable Energy* 2023. [[paper](https://ieeexplore.ieee.org/abstract/document/10296015)] * Synthetic Sleep EEG Signal Generation using Latent Diffusion Models, in *DGM4H NeurIPS* 2023. [[paper](https://openreview.net/forum?id=mDwURmlapW)] [[official-code](https://github.com/bruAristimunha/Synthetic-Sleep-EEG-Signal-Generation-using-Latent-Diffusion-Models)] * Generative AI Enables the Detection of Autism Using EEG Signals, in *Biometric Recognition* 2023. [[paper](https://link.springer.com/chapter/10.1007/978-981-99-8565-4_35)] * TimeDDPM: Time series augmentation strategy for industrial soft sensing, in *IEEE Sensors Journal* 2023. [[paper](https://ieeexplore.ieee.org/abstract/document/10353969)] * Conditioning Score-Based Generative Models by Neuro-Symbolic Constraints, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2308.16534)] * TransFusion: Generating Long, High Fidelity Time Series using Diffusion Models with Transformers, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2307.12667)] * On the Constrained Time-Series Generation Problem, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2307.01717)] * DiffECG: A Generalized Probabilistic Diffusion Model for ECG Signals Synthesis, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2306.01875)] * Customized Load Profiles Synthesis for Electricity Customers Based on Conditional Diffusion Models, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2304.12076)] * Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2303.12281)] * EHRDiff: Exploring Realistic EHR Synthesis with Diffusion Models, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2303.05656)] [[official-code](https://github.com/sczzz3/ehrdiff)] * Synthesizing Mixed-type Electronic Health Records using Diffusion Models, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2302.14679)] * MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion Model, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2302.04355)] * Fast and Reliable Generation of EHR Time Series via Diffusion Models, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2310.15290)] * Fast Diffusion GAN Model for Symbolic Music Generation Controlled by Emotions, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2310.14040)] * TS-Diffusion: Generating Highly Complex Time Series with Diffusion Models, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2311.03303)] * Reliable Generation of EHR Time Series via Diffusion Models, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2310.15290v2)] * D3A-TS: Denoising-Driven Data Augmentation in Time Series, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2312.05550)] * Time Series Diffusion Method: A Denoising Diffusion Probabilistic Model for Vibration Signal Generation, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2312.07981)] * Bayesian ECG reconstruction using denoising diffusion generative models, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2401.05388)] * Regular Time-series Generation using SGM, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2301.08518)] * On the Constrained Time-Series Generation Problem, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2307.01717)] * A Short-Term Wind Power Scenario Generation Method Based on Conditional Diffusion Model, in *IEEE Sustainable Power and Energy Conference (iSPEC)* 2023. [[paper](https://ieeexplore.ieee.org/abstract/document/10403004)] * Scenario Generation of Renewable Energy Based on Improved Diffusion Model, in *IEEE Sustainable Power and Energy Conference (iSPEC)* 2023. [[paper](https://ieeexplore.ieee.org/abstract/document/10402981)] * DiffuseRoll: multi-track multi-attribute music generation based on diffusion model, in *Multimedia Systems* 2024. [[paper](https://link.springer.com/article/10.1007/s00530-023-01220-9)] [[official-code](https://github.com/Fairywang9/DiffuseRoll)] * Cold Diffusion Model for Seismic Denoising, 2024. [[paper](https://essopenarchive.org/users/750010/articles/721094-cold-diffusion-model-for-seismic-denoising)] [[official-code](https://github.com/Daniele-Trappolini/Diffusion-Model-for-Earthquake)] * Conditional Diffusion Models as Self-supervised Learning Backbone for Irregular Time Series, in *ICLR Workshop on Learning from Time Series for Health* 2024. [[paper](https://scholar.google.com/scholar_url?url=https://openreview.net/pdf%3Fid%3DFay67M5R3R&hl=zh-CN&sa=X&d=3311036968068113244&ei=nV30ZZbIN7fHy9YPzam-kA8&scisig=AFWwaebu_vMvKQsDYVUKUZX9Li2u&oi=scholaralrt&hist=FUuGvZIAAAAJ:247144137884962227:AFWwaeY3zXyko7quKq0AnllX_8U0&html=&pos=0&folt=kw)] * Synthetic Asset Price Paths Generation Using Denoising Diffusion Probabilistic Model, in *SCML* 2024. [[paper](http://scml.jp/2024/paper/8/CameraReady/scml2024.pdf)] * Generation of synthetic whole-slide image tiles of tumours from RNA-sequencing data via cascaded diffusion models, in *Nature Biomedical Engineering* 2024. 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[[paper](https://www.arxiv.org/pdf/2402.07369)] * SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting, in *ArXiv* 2024. [[paper](https://arxiv.org/abs/2401.08119)] [[official-code](https://anonymous.4open.science/r/SpecSTG/)] * Fault Detection in Mobile Networks Using Diffusion Models, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2404.09240)] * CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence, in *ArXiv* 2024. [[paper](https://arxiv.org/abs/2403.05940)] * SatDiffMoE: A Mixture of Estimation Method for Satellite Image Super-resolution with Latent Diffusion Models, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2406.10225)] * Crossfusor: A Cross-Attention Transformer Enhanced Conditional Diffusion Model for Car-Following Trajectory Prediction, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2406.11941)] * Deep Temporal Deaggregation: Large-Scale Spatio-Temporal Generative Models, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2406.12423)] * Spatio-Temporal Adaptive Diffusion Models for EEG Super-Resolution in Epilepsy Diagnosis, in *ArXiv* 2024. [[paper](https://arxiv.org/abs/2407.03089)] * Map2Traj: Street Map Piloted Zero-shot Trajectory Generation with Diffusion Model, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2407.19765)] * RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2408.08593)] [[official-code](https://github.com/UNIC-Lab/RadioDiff)] * Long-Term Vessel Trajectory Imputation with Physics-Guided Diffusion Probabilistic Model, in *KDD* 2024. [[paper](https://dl.acm.org/doi/abs/10.1145/3637528.3672086)] * DiffCrime: A Multimodal Conditional Diffusion Model for Crime Risk Map Inference, in *KDD* 2024. [[paper](https://dl.acm.org/doi/pdf/10.1145/3637528.3671843)] [[official-code](https://github.com/IvoPan93/DiffCrime)] * Diffusion Model-based Mobile Traffic Generation with Open Data for Network Planning and Optimization, in *KDD* 2024. [[paper](https://dl.acm.org/doi/pdf/10.1145/3637528.3671544)] [[official-code](https://github.com/impchai/OpenDiff-diffusion-model-with-open-data)] * TrajWeaver: Trajectory Recovery with State Propagation Diffusion Model, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2409.02124)] [[official-code](https://anonymous.4open.science/r/TrajWeaver/)] * A Spatial-Temporal Large Language Model with Diffusion (STLLM-DF) for Enhanced Multi-Mode Traffic System Forecasting, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2409.05921)] * DM-BDD: Real-time Vessel Trajectory Prediction Based on Diffusion Probability Model Balancing Diversity and Determinacy, in *IJCNN* 2024. [[paper](https://ieeexplore.ieee.org/abstract/document/10649942)] * DreamHead: Learning Spatial-Temporal Correspondence via Hierarchical Diffusion for Audio-driven Talking Head Synthesis, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2409.10281)] * DiffuTraj: A Stochastic Vessel Trajectory Prediction Approach via Guided Diffusion Process, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2410.09550)] * Precipitation Nowcasting Using Diffusion Transformer with Causal Attention, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2410.13314)] * ImmerseDiffusion: A Generative Spatial Audio Latent Diffusion Model, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2410.14945)] * A Spatio-Temporal Diffusion Model for Missing and Real-Time Financial Data Inference, in *CIKM* 2024. [[paper](https://dl.acm.org/doi/abs/10.1145/3627673.3679806)] * Traj-Explainer: An Explainable and Robust Multi-modal Trajectory Prediction Approach, in *ArXiv* 2024. [[paper](https://arxiv.org/abs/2410.16795)] * FoMo: A Foundation Model for Mobile Traffic Forecasting with Diffusion Model, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2410.15322)] * DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data, in *NeurIPS*, 2024. [[paper](https://arxiv.org/pdf/2410.22938)] [[official-code](https://github.com/lokol5579/DiffLight-release)] * Predicting Trajectory Destinations Based on Diffusion Model Integrating Spatiotemporal Features and Urban Contexts, in *International Journal of Digital Earth*, 2024. [[paper](https://www.tandfonline.com/doi/pdf/10.1080/17538947.2024.2421955)] * ProGen: Revisiting Probabilistic Spatial-Temporal Time Series Forecasting from a Continuous Generative Perspective Using Stochastic Differential Equations, in *ArXiv* 2024. [[paper](https://arxiv.org/abs/2411.01267)] * DiffWT: Diffusion-Based Pedestrian Trajectory Prediction With Time-frequency Wavelet Transform, in *IEEE Internet of Things Journal* 2024. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10742074)] * Spatiotemporal Imputation of Traffic Emissions With Self-Supervised Diffusion Model, *IEEE Transactions on Neural Networks and Learning Systems*, 2024. [[paper](https://ieeexplore.ieee.org/abstract/document/10758344)] * Spatiotemporally Coherent Probabilistic Generation of Weather from Climate, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2412.15361)] [[official-code](https://github.com/schmidtjonathan/Climate2Weather)] * RDPI: A Refine Diffusion Probability Generation Method for Spatiotemporal Data Imputation, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2412.12642)] [[official-code](https://github.com/liuzjin/RDPI)] * Spatio-Temporal Knowledge driven Diffusion Model for Mobile Traffic Generation, in *IEEE Transactions on Mobile Computing* 2025. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10836819&casa_token=8HLqfwG7718AAAAA:u8L2LIlxEhLSCVVhlRnqgCHyoI1oIO0Lg2qqsSqxzKdY2fYSaNUUut2P_iJ4x-i13odEwMo)] * STCDM: Spatio-Temporal Contrastive Diffusion Model for Check-in Sequence Generation, in *IEEE Transactions on Knowledge and Data Engineering* 2025. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10836764&casa_token=F7eMj_BaEVQAAAAA:q-QOdPjYyUqj7MpBN_qFwHPHQlnEnrpjLfPUdA2Rd7wSb_Su3wmXQRMEO4LUBfgRwhwYY6o&tag=1)] [[official-code](https://github.com/LetianGong/STCDM)] * DiffGSL: A Graph Structure Learning Diffusion Model for Dynamic Spatio-Temporal Forecasting, in *IEEE International Conference on Big Data (BigData)* 2025. [[paper](https://ieeexplore.ieee.org/abstract/document/10825558)] * GooDFlight: Goal-Oriented Diffusion Model for Flight Trajectory Prediction, in *IEEE Transactions on Aerospace and Electronic Systems* 2025. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10858371)] * CoSTI: Consistency Models for (a faster) Spatio-Temporal Imputation, in *ArXiv* 2025. [[paper](https://arxiv.org/pdf/2501.19364)] [[official-code](https://github.com/javiersgjavi/CoSTI)] * Graph Anomaly Detection via Diffusion Enhanced Multi-View Contrastive Learning, in *Knowledge-Based Systems* 2025. [[paper](https://www.sciencedirect.com/science/article/pii/S0950705125001406)] * Collaborative Deterministic-Diffusion Model for Probabilistic Urban Spatiotemporal Prediction, in *ArXiv* 2025. [[paper](https://arxiv.org/pdf/2502.11013)] * LWDF: A lightweight diffusion model for sea surface temperature prediction, in *Stochastic Environmental Research and Risk Assessment* 2025. [[paper](https://link.springer.com/article/10.1007/s00477-025-02940-2)] * TSGDiff: Traffic state generative diffusion model using multi-source information fusion, in *Transportation Research Part C: Emerging Technologies* 2025. [[paper](https://www.sciencedirect.com/science/article/pii/S0968090X25000853)] * Enhancing spatiotemporal prediction through the integration of Mamba state space models and Diffusion Transformers Author links open overlay panel, in *Knowledge-Based Systems* 2025. [[paper](https://www.sciencedirect.com/science/article/pii/S0950705125003946)] [[official-code](https://github.com/Hanson1331/KBS-MAD)] * AutoSTDiff: Autoregressive Spatio-Temporal Denoising Diffusion Model for Asynchronous Trajectory Generation, in *SIAM* 2025. [[paper](https://epubs.siam.org/doi/pdf/10.1137/1.9781611978520.58)] [[official-code](https://github.com/Rongchao98/AutoSTDiff)] * Denoising Diffusion Probabilistic Models for Coastal Inundation Forecasting, in *ArXiv* 2025. [[paper](https://arxiv.org/pdf/2505.05381)] * Filling the Missings: Spatiotemporal Data Imputation by Conditional Diffusion, in *ArXiv* 2025. [[paper](https://arxiv.org/pdf/2506.07099)] [[official-code](https://github.com/joyHJL/CoFILL)] * LaDCast: A Latent Diffusion Model for Medium-Range Ensemble Weather Forecasting, in *ArXiv* 2025. [[paper](https://arxiv.org/pdf/2506.09193)] [[official-code](https://github.com/tonyzyl/ladcast)] * Double-Diffusion: Diffusion Conditioned Diffusion Probabilistic Model For Air Quality Prediction, in *ArXiv* 2025. [[paper](https://arxiv.org/pdf/2506.23053)] * Spatio-Temporal Probabilistic Forecasting of Wind Speed Using Transformer-Based Diffusion Models, in *IEEE Transactions on Sustainable Energy* 2025. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11091547)] * Score-Based Spatial-Temporal Point Process for Traffic Accident Prediction, in *IEEE Transactions on Intelligent Transportation Systems* 2025. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11173997)] * Conditional Diffusion Based Spatio-Temporal Imputation Model for Reliable and Intelligent Service in Consumer Electronics, in *IEEE Transactions on Consumer Electronics* 2025. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11175361)] * Probabilistic and Interaction-Aware Trajectory Prediction Using Score-Based Diffusion Models, in *IEEE Transactions on Industrial Informatics* 2025. [[paper](https://ieeexplore.ieee.org/abstract/document/11192085)] * Score-Based Variational Modeling for Spatiotemporal Forecasting, in *IEEE Transactions on Signal and Information Processing over Networks* 2025. [[paper](https://ieeexplore.ieee.org/abstract/document/11206534)] [[official-code](https://github.com/JAMS-Lab/SSTVM)] * Stamp: Semantic-Aware Sub-trajectory Anomaly Detection with Diffusion Multi-model Pool for Evolving Data Streams, in *CIKM* 2025. [[paper](https://dl.acm.org/doi/pdf/10.1145/3746252.3761088)] ## Diffusion Model for Tabular Data * Diffusion Models for Missing Value Imputation in Tabular Data, in *NeurIPS TRL Workshop* 2022. [[paper](https://arxiv.org/abs/2210.17128)] [[official-code](https://github.com/pfnet-research/TabCSDI)] * MissDiff: Training Diffusion Models on Tabular Data with Missing Values, in *ICML Workshop* 2023. [[paper](https://arxiv.org/abs/2307.00467)] * CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis, in *ICML* 2023. [[paper](https://arxiv.org/abs/2304.12654)] [[official-code](https://github.com/chaejeonglee/codi)] * TabDDPM: Modelling Tabular Data with Diffusion Models, in *ICML* 2023. [[paper](https://arxiv.org/abs/2209.15421)] [[official-code](https://github.com/yandex-research/tab-ddpm)] * Multi-task oriented diffusion model for mortality prediction in shock patients with incomplete data, in *Information Fusion* 2023. [[paper](https://www.sciencedirect.com/science/article/pii/S1566253523005237)] * Conditioning Score-Based Generative Models by Neuro-Symbolic Constraints, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2308.16534)] * On Diffusion Modeling for Anomaly Detection, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2305.18593)] [[official-code](https://github.com/vicliv/dte)] * Generating Tabular Datasets under Differential Privacy, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2308.14784)] * TabADM: Unsupervised Tabular Anomaly Detection with Diffusion Models, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2307.12336)] * FinDiff: Diffusion Models for Financial Tabular Data Generation, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2309.01472)] * AutoDiff: combining Auto-encoder and Diffusion model for tabular data synthesizing, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2310.15479)] * RF-Diffusion: Radio Signal Generation via Time-Frequency Diffusion, in *MobiCom* 2024. [[paper](https://arxiv.org/pdf/2404.09140)] [[official-code](https://github.com/mobicom24/RF-Diffusion)] * Self-supervision improves diffusion models for tabular data imputation, in *ICLR Workshop on GenAI4DM*. [[paper](https://www.amazon.science/publications/self-supervision-improves-diffusion-models-for-tabular-data-imputation)] * DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic Model in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2403.13863)] [[official-code](https://github.com/dendiiiii/diffimpute)] * Guided Discrete Diffusion for Electronic Health Record Generation, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2404.12314)] * Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2406.13942)] * TimeAutoDiff: Combining Autoencoder and Diffusion model for time series tabular data synthesizing, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2406.16028)] * Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient Flow, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2406.15762)] * Estimating Probability Densities of Tabular Data using a Transformer Model combined with Denoising Diffusion, in *OpenReview* 2024. [[paper](https://openreview.net/pdf?id=hLQnN3frL2)] * Entity-based Financial Tabular Data Synthesis with Diffusion Models, in *ICAIF* 2024. [[paper](https://dl.acm.org/doi/pdf/10.1145/3677052.3698625)] * Denoising Diffusion Probabilistic Model for Realistic Financial Correlation Matrices, in *ICAIF* 2024. [[paper](https://dl.acm.org/doi/pdf/10.1145/3677052.3698640)] [[official-code](https://github.com/szymkubiak/DDPM-for-Correlation-Matrices)] * Imb-FinDiff: Conditional Diffusion Models for Class Imbalance Synthesis of Financial Tabular Data, in *ICAIF* 2024. [[paper](https://dl.acm.org/doi/pdf/10.1145/3677052.3698659)] * TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation, in *ArXiv* 2025. [[paper](https://arxiv.org/pdf/2504.17613)] * DiffTab: An improved denoising diffusion probabilistic model for generating acidic wastewater sulfidation continuous tabular data, in *Journal of Water Process Engineering* 2025. [[paper](https://www.sciencedirect.com/science/article/pii/S2214714425013455)] ## Applications ### Healthcare * Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEG, in *Interspeech* 2023. [[paper](https://arxiv.org/abs/2307.14389)] [[official-code](https://github.com/yorgoon/diffe)] * EEG Synthetic Data Generation Using Probabilistic Diffusion Models, in *Synapsium* 2023. [[paper](https://arxiv.org/abs/2303.06068)] [[official-code](https://github.com/devjake/eeg-diffusion-pytorch)] * DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal, in *IEEE Journal of Biomedical and Health Informatics* 2023. [[paper](https://arxiv.org/abs/2208.00542)] [[official-code](https://github.com/huayuliarizona/score-based-ecg-denoising)] * Diffusion-based Conditional ECG Generation with Structured State Space Models, in *Computers in Biology and Medicine* 2023. [[paper](https://arxiv.org/abs/2301.08227)] [[official-code](https://github.com/ai4healthuol/sssd-ecg)] * Density-Aware Temporal Attentive Step-wise Diffusion Model For Medical Time Series Imputation, in *CIKM* 2023. [[paper](https://dl.acm.org/doi/abs/10.1145/3583780.3614840)] * Applying Generative Models and Transfer Learning to Physiological Data Classification, in *Artificial Intelligence Research and Development* 2023. [[paper](https://ebooks.iospress.nl/doi/10.3233/FAIA230656)] * MEDiC: Mitigating EEG Data Scarcity Via Class-Conditioned Diffusion Model, in *DGM4H NeurIPS* 2023. [[paper](https://openreview.net/forum?id=0aeDKGhlTo)] * Synthetic Sleep EEG Signal Generation using Latent Diffusion Models, in *DGM4H NeurIPS* 2023. [[paper](https://openreview.net/forum?id=mDwURmlapW)] [[official-code](https://github.com/bruAristimunha/Synthetic-Sleep-EEG-Signal-Generation-using-Latent-Diffusion-Models)] * Data Augmentation for EEG Motor Imagery Classification Using Diffusion Model, in *Data Science and Artificial Intelligence conference* 2023. [[paper](https://link.springer.com/chapter/10.1007/978-981-99-7969-1_9)] * Generative AI Enables the Detection of Autism Using EEG Signals, in *Biometric Recognition* 2023. [[paper](https://link.springer.com/chapter/10.1007/978-981-99-8565-4_35)] * Enhanced Atrial Fibrillation (AF) Detection via Data Augmentation with Diffusion Model, in *International Conference on Computer and Knowledge Engineering* 2023. [[paper](https://ieeexplore.ieee.org/abstract/document/10326310)] [[official-code](https://github.com/arashVsh/AF-Detection-DDPM)] * Multi-task oriented diffusion model for mortality prediction in shock patients with incomplete data, in *Information Fusion* 2023. [[paper](https://www.sciencedirect.com/science/article/pii/S1566253523005237)] * Imputing time-series microbiome abundance profiles with diffusion model, in *IEEE International Conference on Bioinformatics and Biomedicine (BIBM)* 2023. [[paper](https://ieeexplore.ieee.org/abstract/document/10385703)] [[official-code](https://github.com/misatoseki/metag_time_impute)] * DiffECG: A Generalized Probabilistic Diffusion Model for ECG Signals Synthesis, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2306.01875)] * Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2303.12281)] * EHRDiff: Exploring Realistic EHR Synthesis with Diffusion Models, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2303.05656)] [[official-code](https://github.com/sczzz3/ehrdiff)] * Synthesizing Mixed-type Electronic Health Records using Diffusion Models, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2302.14679)] * MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion Model, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2302.04355)] * Data Augmentation for Seizure Prediction with Generative Diffusion Model, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2306.08256)] * Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2308.13568)] * Domain-Specific Denoising Diffusion Probabilistic Models for Brain Dynamics, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2305.04200)] [[official-code](https://github.com/duanyiqun/ds-ddpm)] * Fast and Reliable Generation of EHR Time Series via Diffusion Models, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2310.15290)] * Improving Diffusion Models for ECG Imputation with an Augmented Template Prior, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2310.15742)] * Brain-Driven Representation Learning Based on Diffusion Model, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2311.07925)] * Reliable Generation of EHR Time Series via Diffusion Models, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2310.15290v2)] * Brain Diffuser with Hierarchical Transformer for MCI Causality Analysis, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2312.09022)] * Bayesian ECG reconstruction using denoising diffusion generative models, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2401.05388)] * Addiction-related brain networks identification via Graph Diffusion Reconstruction Network, in *Brain Informatics* 2024. [[paper](https://link.springer.com/article/10.1186/s40708-023-00216-5)] * A transformer-based diffusion probabilistic model for heart rate and blood pressure forecasting in Intensive Care Unit, in *Computer Methods and Programs in Biomedicine* 2024. [[paper](https://www.sciencedirect.com/science/article/pii/S0169260724000567)] [[official-code](https://github.com/PingChang818/TDSTF)] * ECG Captioning with Prior-Knowledge Transformer and Diffusion Probabilistic Model, in *Journal of Healthcare Informatics Research* 2024. [[paper](https://www.researchsquare.com/article/rs-4070328/v1)] * SADI: Similarity-Aware Diffusion Model-Based Imputation for Incomplete Temporal EHR Data, in *International Conference on Artificial Intelligence and Statistics* 2024. [[paper](https://proceedings.mlr.press/v238/dai24c.html)] * Fingerprinting in EEG Model IP Protection Using Diffusion Model, in *ICMR* 2024. [[paper](https://dl.acm.org/doi/abs/10.1145/3652583.3658057)] * Learning Joint 2-D and 3-D Graph Diffusion Models for Complete Molecule Generation, in *IEEE Transactions on Neural Networks and Learning Systems* 2024. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10589299)] * Filling of Fetal Heart Rate Signal: Diffusion Model Based on Dimension Construction and Period Segmentation, in *IEEE Transactions on Consumer Electronics* 2024. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10591727)] * Diffusion based comprehensive approach for highly contaminated electrocardiogram segmentation, in *Biomedical Signal Processing and Control* 2024. [[paper](https://www.sciencedirect.com/science/article/pii/S1746809424007511)] * ECGDiff: Conditional Diffusion Model for ECG Reconstruction from Doppler Signals, in *IEEE International Conference on Communications* 2024. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10622196)] * BioDiffusion: A Versatile Diffusion Model for Biomedical Signal Synthesis, in *ArXiv* 2024. [[paper](https://arxiv.org/abs/2401.10282)][[official-code](https://github.com/imics-lab/biodiffusion)] * Synthesizing EEG Signals from Event-Related Potential Paradigms with Conditional Diffusion Models, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2403.18486)] * DiffPhys: Enhancing Signal-to-Noise Ratio in Remote Photoplethysmography Signal Using a Diffusion Model Approach, in *Bioengineering* 2024. [[paper](https://www.mdpi.com/2306-5354/11/8/743)] * Guided Discrete Diffusion for Electronic Health Record Generation, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2404.12314)] * Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2406.13942)] * Spatio-Temporal Adaptive Diffusion Models for EEG Super-Resolution in Epilepsy Diagnosis, in *ArXiv* 2024. [[paper](https://arxiv.org/abs/2407.03089)] * SSSD-ECG-nle: New Label Embeddings with Structured State-Space Models for ECG generation, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2407.11108)][[official-code](https://github.com/ispras/EcgLib)] * Improving EEG Classification Through Randomly Reassembling Original and Generated Data with Transformer-based Diffusion Models, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2407.20253)] * PatchEMG: Few-Shot EMG Signal Generation With Diffusion Models for Data Augmentation to Improve Classification Performance, in *IEEE Transactions on Instrumentation and Measurement* 2024. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10648713)] * DiffEyeSyn: Diffusion-based User-specific Eye Movement Synthesis, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2409.01240)] * Classification of imbalanced ECGs through segmentation models and augmented by conditional diffusion model, in *Peer J Computer Science* 2024. [[paper](https://peerj.com/articles/cs-2299/)] * Few-Shot PPG Signal Generation via Guided Diffusion Models, in *IEEE Sensors Journal* 2024. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10680298)] * RespDiff: An End-to-End Multi-scale RNN Diffusion Model for Respiratory Waveform Estimation from PPG Signals, in *ArXiv* 2024. [[paper](https://www.researchgate.net/publication/383988916_RespDiff_An_End-to-End_Multi-scale_RNN_Diffusion_Model_for_Respiratory_Waveform_Estimation_from_PPG_Signals)] * BP-Diff: a conditional diffusion model for cuffless continuous BP waveform estimation using U-Net, in *Physiological Measurement* 2024. [[paper](https://iopscience.iop.org/article/10.1088/1361-6579/ad7fcc/meta)] * Enhancing EEG Signal Generation through a Hybrid Approach Integrating Reinforcement Learning and Diffusion Models, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2410.00013)] * GADM: Data augmentation using Generative Adversarial Diffusion Model for pulse-based disease identification, in *Biomedical Signal Processing and Control* 2024. [[paper](https://www.sciencedirect.com/science/article/pii/S1746809424010632)] [[official-code](https://github.com/dreaming12138/GADM-Generative-Adversarial-Diffusion-Model)] * DiffPO: A causal diffusion model for learning distributions of potential outcomes, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2410.08924)] [[official-code](https://github.com/yccm/DiffPO)] * EEG-DIF: Early Warning of Epileptic Seizures through Generative Diffusion Model-based Multi-channel EEG Signals Forecasting, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2410.17343)] [[official-code](https://github.com/JZK00/EEG-DIF)] * EEGCiD: EEG Condensation Into Diffusion Model, in *IEEE Transactions on Automation Science and Engineering* 2024. [[paper](https://ieeexplore.ieee.org/abstract/document/10738504)] [[official-code](https://github.com/JunFuChen/EEGCiD)] * EEGDfus: A Conditional Diffusion Model for Fine-Grained EEG Denoising, in *IEEE Journal of Biomedical and Health Informatics* 2024. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10763506)] [[official-code](https://github.com/XYH0118/EEGDfus)] * Biomedically Informed ECG Synthesis: Customizing Cardiac Cycle Phases with Diffusion Model, in *International Conference on Bioinformatics and Biomedicine (BIBM)* 2025. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10821878&casa_token=BZXgxjtGDesAAAAA:5xy7eIq1DJQC5F28lX0nSSz2RzKa4TZBVmstMT383-M0jiBHbexpfutd7T5uZqqalL3QX5g)] * Generative AI Enables EEG Super-Resolution via Spatio-Temporal Adaptive Diffusion Learning, in *IEEE Transactions on Consumer Electronics* 2025. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10839074)] * FHRDiff: Leveraging Diffusion Models for Conditional Fetal Heart Rate Signal Generation, in *International Conference on Bioinformatics and Biomedicine (BIBM)* 2024. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10821853&casa_token=KoPfu1SS96YAAAAA:oCg42RkyO96DBmlKlxaFHnA9QqTrEs1MfCF7NWyfuxNP3VQZ3XQx_gRy-LvuAWsyqXyYQMw)] * EDDM: A Novel ECG Denoising Method Using Dual-path Diffusion Model, in *IEEE Transactions on Instrumentation and Measurement* 2025. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10891895)] * Essentia: Boosting Artifact Removal from EEG through Semantic Guidance Utilizing Diffusion Model, in *ICASSP* 2025. [[paper](https://ieeexplore.ieee.org/abstract/document/10887905)] [[official-code](https://github.com/NKU-EmbeddedSystem/Essentia)] * CTGDiff: A Conditional Diffusion Model for Cardiotocography Signal Synthesis, in *ICASSP* 2025. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10889762)] * Generating Realistic Multi-Beat ECG Signals, in *International Conference on Digital Signal Processing* 2025. [[paper](https://arxiv.org/pdf/2505.18189)] * Denoising Motion-Corrupted Seismocardiogram Signals Using Score-Based Generative Diffusion Models, in *IEEE Journal of Biomedical and Health Informatics* 2025. [[paper](https://ieeexplore.ieee.org/abstract/document/11027314)] * DIFF-FECG: A Conditional Diffusion-Based Method for Fetal ECG Extraction from Abdominal ECG, in *IEEE Transactions on Artificial Intelligence* 2025. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11029501)] [[official-code](https://github.com/zhenqinchen/DIFF-FECG)] * Electrooculography signal generation with conditional diffusion models for eye movement classification, in *Biomedical Signal Processing and Control* 2025. [[paper](https://www.sciencedirect.com/science/article/pii/S1746809425007220)] * In-situ dehydration monitoring via a stable diffusion-aided single-lead ECG IoMT: ML/DL models shine while LLMs hallucinate, in *IEEE Internet of Things Journal* 2025. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11050934)] * TransConv-DDPM: Enhanced Diffusion Model for Generating Time-Series Data in Healthcare, in *IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC)* 2025. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11126605)] * TransUNET-DDPM: A transformer-enhanced diffusion model for subject-specific brain network generation and classification, in *Computers in Biology and Medicine* 2025. [[paper](https://www.sciencedirect.com/science/article/pii/S0010482525013484)] * Exploring Latent Diffusion Models for ECG Generation on the Minute Scale, in *Computer Methods and Programs in Biomedicine* 2025. [[paper](https://www.sciencedirect.com/science/article/pii/S0169260725005541)] [[official-code](https://github.com/kranzdd/ecgen)] ### Sequential Recommendation * Recommendation via Collaborative Diffusion Generative Model, in *Knowledge Science, Engineering and Management: 15th International Conference (KSEM)* 2022. [[paper](https://dl.acm.org/doi/10.1007/978-3-031-10989-8_47)] * Diffusion Recommender Model, in *SIGIR* 2023. [[paper](https://arxiv.org/abs/2304.04971)] [[official-code](https://github.com/yiyanxu/diffrec)] * Diffusion Augmentation for Sequential Recommendation, in *CIKM* 2023. [[paper](https://dl.acm.org/doi/abs/10.1145/3583780.3615134)] [[official-code](https://github.com/liuqidong07/DiffuASR)] * Discrete Conditional Diffusion for Reranking in Recommendation, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2308.06982)] * RecFusion: A Binomial Diffusion Process for 1D Data for Recommendation, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2306.08947)] [[official-code](https://github.com/gabriben/recfusion)] * Conditional Denoising Diffusion for Sequential Recommendation, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2304.11433)] * Sequential Recommendation with Diffusion Models, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2304.04541)] * DiffuRec: A Diffusion Model for Sequential Recommendation, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2304.00686)] * Towards Graph-Aware Diffusion Modeling for Collaborative Filtering, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2311.08744)] * Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion, in *NeurIPS* 2024. [[paper](https://arxiv.org/abs/2310.20453)] [[official-code](https://github.com/yangzhengyi98/dreamrec)] * NetDiff: A Service-Guided Hierarchical Diffusion Model for Network Flow Trace Generation, in *Proceedings of the ACM on Networking* 2024. [[paper](https://dl.acm.org/doi/pdf/10.1145/3676870)] * Plug-in Diffusion Model for Sequential Recommendation, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2401.02913.pdf)][[official-code](https://github.com/hulkima/PDRec)] * DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2410.02791)] ### Weather * SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather Forecasting, in *AAAI* 2023. [[paper](https://arxiv.org/abs/2306.03110)] * DiffESM: Conditional Emulation of Earth System Models with Diffusion Models, in *ICLR* 2023. [[paper](https://arxiv.org/abs/2304.11699)] [[official-code](https://github.com/duanyiqun/ds-ddpm)] * Precipitation Nowcasting with Generative Diffusion Models, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2308.06733)] [[official-code](https://github.com/fmerizzi/precipitation-nowcasting-with-generative-diffusion-models)] * SEEDS: Emulation of Weather Forecast Ensembles with Diffusion Models, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2306.14066)] * Diffusion Models for High-Resolution Solar Forecasts, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2302.00170)] * Latent Diffusion Models for Generative Precipitation Nowcasting with Accurate Uncertainty Quantification, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2304.12891)] [[official-code](https://github.com/MeteoSwiss/ldcast)] * WiREDiff: a Wind Resolution-Enhancing Diffusion Model, in *Working Paper* 2023. [[link](https://rupakv.com/wirediff.html#:~:text=WiREDiff%20is%20a%20novel%20application,interval%20of%20predicted%20wind%20velocities.)] [[paper](https://rupakv.com/pdfs/wirediff_report.pdf)] [[official-code](https://github.com/RupaKurinchiVendhan/WiREDiff)] * STFDiff: Remote sensing image spatiotemporal fusion with diffusion models, in *Information Fusion* 2024. [[paper](https://www.sciencedirect.com/science/article/pii/S1566253524002835)] * Latent Diffusion Model for Generating Ensembles of Climate Simulations, in *ICML workshop* 2024. [[paper](https://arxiv.org/abs/2407.02070)] * Spacetime Separable Latent Diffusion Model with Intensity Structure Information for Precipitation Nowcasting, in *IEEE Transactions on Geoscience and Remote Sensing* 2024. [[paper](https://ieeexplore.ieee.org/abstract/document/10638096)] [[official-code](https://github.com/ybu-lxd/SISLDM-ISI)] * DiffDA: a diffusion model for weather-scale data assimilation, in *ArXiv* 2024. [[paper](https://arxiv.org/abs/2401.05932)] * SRNDiff: Short-term Rainfall Nowcasting with Condition Diffusion Model, in *ArXiv* 2024. [[paper](https://arxiv.org/abs/2402.13737)] * Precipitation Nowcasting Using Diffusion Transformer with Causal Attention, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2410.13314)] * RNDiff: Rainfall Nowcasting with Condition Diffusion Model, *Pattern Recognition*, 2024. [[paper](https://www.sciencedirect.com/science/article/pii/S0031320324009440)] [[official-code](https://github.com/ybu-lxd/SRNDiff)] * Spatiotemporally Coherent Probabilistic Generation of Weather from Climate, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2412.15361)] [[official-code](https://github.com/schmidtjonathan/Climate2Weather)] * DGMI: A diffusion-based generative adversarial framework for multivariate air quality imputation, in *Applied Intelligence* 2025. [[paper](https://link.springer.com/article/10.1007/s10489-025-06240-8)] * LWDF: A lightweight diffusion model for sea surface temperature prediction, in *Stochastic Environmental Research and Risk Assessment* 2025. [[paper](https://link.springer.com/article/10.1007/s00477-025-02940-2)] * Double-Diffusion: Diffusion Conditioned Diffusion Probabilistic Model For Air Quality Prediction, in *ArXiv* 2025. [[paper](https://arxiv.org/pdf/2506.23053)] ### Energy and Electricity * Short-Term Wind Power Scenario Generation Based on Conditional Latent Diffusion Models, in *IEEE Transactions on Sustainable Energy* 2023. [[paper](https://ieeexplore.ieee.org/abstract/document/10296015)] * Diff-SwinT: An Integrated Framework of Diffusion Model and Swin Transformer for Radar Jamming Recognition, in *Future Internet* 2023. [[paper](https://www.mdpi.com/1999-5903/15/12/374)] * A Short-Term Wind Power Scenario Generation Method Based on Conditional Diffusion Model, in *IEEE Sustainable Power and Energy Conference (iSPEC)* 2023. [[paper](https://ieeexplore.ieee.org/abstract/document/10403004)] * Scenario Generation of Renewable Energy Based on Improved Diffusion Model, in *IEEE Sustainable Power and Energy Conference (iSPEC)* 2023. [[paper](https://ieeexplore.ieee.org/abstract/document/10402981)] * DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion Model, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2308.09857)] [[official-code](https://github.com/LSY-Cython/DiffCharge)] * Customized Load Profiles Synthesis for Electricity Customers Based on Conditional Diffusion Models, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2304.12076)] * DiffLoad: Uncertainty Quantification in Load Forecasting with Diffusion Model, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2306.01001)] * Denoising Diffusion Probabilistic Models for Probabilistic Energy Forecasting, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2212.02977)] [[official-code](https://github.com/EstebanHernandezCapel/DDPM-Power-systems-forecasting)] * Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2311.07110)] * Improved Efficient Two-Stage Denoising Diffusion Power System Measurement Recovery Against False Data Injection Attacks and Data Losses, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2312.04346)] * Residential Customer Baseline Load Estimation Based on Conditional Denoising Diffusion Probabilistic Model, in *IEEE 4th International Conference in Power Engineering Applications (ICPEA)* 2024. [[paper](https://ieeexplore.ieee.org/abstract/document/10498265)] * Detection and Imputation Based Two-Stage Denoising Diffusion Power System Measurement Recovery Under Cyber-Physical Uncertainties, in *IEEE Transactions on Smart Grid* 2024. [[paper](https://ieeexplore.ieee.org/abstract/document/10542391)] * Probabilistic Building Load Forecasting via Conditional Diffusion Model, in *e-Energy* 2024. [[paper](https://dl.acm.org/doi/pdf/10.1145/3632775.3661980)] * Multivariate Time-series Diffusion Model-based Generation of Transient Trajectories for Power System Applications, in *IEEE/PES Transmission and Distribution Conference and Exposition (T&D)* 2024. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10556088)] * Denoising Diffusion Straightforward Models for Energy Conversion Monitoring Data Imputation, in *IEEE Transactions on Industrial Informatics* 2024. [[paper](https://ieeexplore.ieee.org/abstract/document/10568989)] * DiffusionLSTM: A Framework for Image Sequence Generation and its Application to Oil Spill Monitoring and Prediction, in *IEEE Transactions on Geoscience and Remote Sensing* 2024. [[paper](https://ieeexplore.ieee.org/abstract/document/10589663/)] * DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Load, in *ArXiv* 2024. [[paper](https://arxiv.org/abs/2402.13548)] [[official-code](https://github.com/LSY-Cython/DiffPLF)] * Creating synthetic energy meter data using conditional diffusion and building metadata, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2404.00525v1)] [[official-code](https://github.com/buds-lab/energy-diffusion)] * Generating Synthetic Net Load Data with Physics-informed Diffusion Model, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2406.01913)] * EnergyDiff: Universal Time-Series Energy Data Generation using Diffusion Models, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2407.13538)] * RadioDiff: An Effective Generative Diffusion Model for Sampling-Free Dynamic Radio Map Construction, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2408.08593)] [[official-code](https://github.com/UNIC-Lab/RadioDiff)] * DiffLoad: Uncertainty Quantification in Electrical Load Forecasting with the Diffusion Model, in *IEEE Transactions on Power Systems* 2024. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10645307)] [[official-code](https://github.com/hkuedl/DiffLoad-Uncertainty-Quantification-Load-Forecasting)] * A novel wind power forecast diffusion model based on prior knowledge, in *IET Renewable Power Generation* 2024. [[paper](https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/rpg2.13087)] * PV-Diff: Probability Prediction of Short-term Photovoltaic Power Interval Based on Conditional Diffusion Model, in *Chinese Control Conference* 2024. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10661972)] * DiffBatt: A Diffusion Model for Battery Degradation Prediction and Synthesis, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2410.23893)] [[official-code]( https://github.com/HamidrezaEiv/DiffBatt.git)] * A Diffusion–Attention-Enhanced Temporal (DATE-TM) Model: A Multi-Feature-Driven Model for Very-Short-Term Household Load Forecasting, in *Energies* 2025. [[paper](https://www.mdpi.com/1996-1073/18/3/486)] * A diffusion model-based framework to enhance the robustness of non-intrusive load disaggregation, in *Energy* 2025. [[paper](https://www.sciencedirect.com/science/article/pii/S0360544225010655)] [[official-code](https://github.com/linfengYang/DiffusionModel_NILM)] * A Two-Stage Generative Architecture for Renewable Scenario Generation Based on Temporal Scenario Representation and Diffusion Models, in *Energies* 2025. [[paper](https://www.mdpi.com/1996-1073/18/5/1275)] * Diffusion Model Based Probabilistic Day-ahead Load Forecasting, in *ArXiv* 2025. [[paper](https://arxiv.org/pdf/2503.06697)] * A method for generating wind power output scenarios based on improved conditional generative diffusion model, in *Electric Power Systems Research* 2025. [[paper](https://www.sciencedirect.com/science/article/pii/S0378779625003712)] * SocioDiff: A Socio-Aware Diffusion Model for Residential Electricity Consumption Data Generation, in *IEEE Transactions on Smart Grid* 2025. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11021430)] [[official-code](https://github.com/Intelligame/SocialDiff)] * GT-NILM: A Generative, Transferable Non-Intrusive Load Monitoring System Based on Conditional Diffusion Models and Convolutional Neural Networks, in *IEEE Transactions on Consumer Electronics* 2025. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11027567)] * ExDiffusion: Classifier-Guidance Diffusion Model for Extreme Load Scenario Generation with Extreme Value Theory, in *IEEE Transactions on Smart Grid* 2025. [[paper](https://ieeexplore.ieee.org/abstract/document/11062498)] * Controllable renewable energy scenario generation based on pattern-guided diffusion models, in *Applied Energy* 2025. [[paper](https://www.sciencedirect.com/science/article/pii/S0306261925011766)] * Spatio-Temporal Probabilistic Forecasting of Wind Speed Using Transformer-Based Diffusion Models, in *IEEE Transactions on Sustainable Energy* 2025. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11091547)] * Wind Turbine Blade Icing Predictive Fault Warning System Based on Conditional Time Series Denoising Diffusion Data Restoration Model, in *IEEE Transactions on Automation Science and Engineering* 2025. [[paper](https://ieeexplore.ieee.org/author/37089838123)] * Research on adaptive denoising for oil and gas pipeline detection signals based on generative diffusion probabilistic framework, in *Mechanical Systems and Signal Processing* 2025. [[paper](https://www.sciencedirect.com/science/article/pii/S0888327025008647)] * FESD: Feature-Enhanced Structured-State-Space Diffusion Model for Battery SOH Prediction and Imputation, in *IEEE Transactions on Instrumentation and Measurement* 2025. [[paper](https://ieeexplore.ieee.org/abstract/document/11134532)] * Probabilistic imputation of missing offshore wind speed based on conditional diffusion models, in *Sustainable Energy, Grids and Networks* 2025. [[paper](https://www.sciencedirect.com/science/article/pii/S2352467725003315)] * A Cross-level Consistency-aware Diffusion Model of Hierarchical Imputation for Energy Prosumers, in *IEEE Transactions on Smart Grid* 2025. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11168916)] ### Math and Physics * A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction, in *Journal of Computational Physics* 2023. [[paper](https://arxiv.org/abs/2211.14680)] [[official-code](https://github.com/BaratiLab/Diffusion-based-Fluid-Super-resolution)] * DiTTO: Diffusion-inspired Temporal Transformer Operator, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2307.09072)] * Infinite-dimensional Diffusion Models for Function Spaces, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2302.10130)] * Generative Diffusion Learning for Parametric Partial Differential Equations, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2305.14703)] * CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence, in *ArXiv* 2024. [[paper](https://arxiv.org/abs/2403.05940)] ### Finance * Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction, in *CIKM* 2023. [[paper](https://arxiv.org/abs/2309.00073)] [[official-code](https://github.com/koa-fin/dva)] * FinDiff: Diffusion Models for Financial Tabular Data Generation, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2309.01472)] * Synthetic Data Applications in Finance, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2401.00081)] * DiffSTOCK: Probabilistic relational Stock Market Predictions using Diffusion Models, in *ICASSP* 2024. [[paper](https://arxiv.org/pdf/2403.14063)] * Multi-Modality Conditional Diffusion Model for Time Series Forecasting of Live Sales Volume, in *ICASSP* 2024. [[paper](https://ieeexplore.ieee.org/abstract/document/10446307)] * Synthetic Asset Price Paths Generation Using Denoising Diffusion Probabilistic Model, in *SCML* 2024. [[paper](http://scml.jp/2024/paper/8/CameraReady/scml2024.pdf)] * DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation, in *ArXiv* 2024. [[paper](https://arxiv.org/abs/2402.06656v1)] * A Financial Time Series Denoiser Based on Diffusion Model, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2409.02138)] * A Spatio-Temporal Diffusion Model for Missing and Real-Time Financial Data Inference, in *CIKM* 2024. [[paper](https://dl.acm.org/doi/abs/10.1145/3627673.3679806)] * Generation of synthetic financial time series by diffusion models, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2410.18897)] * Entity-based Financial Tabular Data Synthesis with Diffusion Models, in *ICAIF* 2024. [[paper](https://dl.acm.org/doi/pdf/10.1145/3677052.3698625)] * Denoising Diffusion Probabilistic Model for Realistic Financial Correlation Matrices, in *ICAIF* 2024. [[paper](https://dl.acm.org/doi/pdf/10.1145/3677052.3698640)] [[official-code](https://github.com/szymkubiak/DDPM-for-Correlation-Matrices)] * Imb-FinDiff: Conditional Diffusion Models for Class Imbalance Synthesis of Financial Tabular Data, in *ICAIF* 2024. [[paper](https://dl.acm.org/doi/pdf/10.1145/3677052.3698659)] * Synthetic Data Generation for Fraud Detection Using Diffusion Models, in *Information and Security* 2024. [[paper](https://www.isij.eu/system/files/download-count/2024-11/5534_Fraud_detection.pdf)] * Limit Order Book Event Stream Prediction with Diffusion Model, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2412.09631)] * TRADES: Generating Realistic Market Simulations with Diffusion Models, in *ArXiv* 2025. [[paper](https://arxiv.org/pdf/2502.07071)] [[official-code](https://github.com/LeonardoBerti00/DeepMarket)] * CoFinDiff: Controllable Financial Diffusion Model for Time Series Generation, in *ArXiv* 2025. [[paper](https://arxiv.org/pdf/2503.04164)] * DHMoE: Diffusion Generated Hierarchical Multi-Granular Expertise for Stock Prediction, in *AAAI* 2025. [[paper](https://ojs.aaai.org/index.php/AAAI/issue/view/634)] * InterDiff: Synthesizing Financial Time Series with Inter-Stock Correlations via Classifier-Free Guided Diffusion, in *ECML-PKDD* 2025. [[paper](https://ecmlpkdd-storage.s3.eu-central-1.amazonaws.com/preprints/2025/ads/preprint_ecml_pkdd_2025_ads_759.pdf)] ### AIOps * Maat: Performance Metric Anomaly Anticipation for Cloud Services with Conditional Diffusion, in *IEEE/ACM International Conference on Automated Software Engineering* 2023. [[paper](https://arxiv.org/abs/2308.07676)] [[official-code](https://github.com/bebillionaireusd/maat)] * Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365, in *ESEC/FSE* 2023. [[paper](https://dl.acm.org/doi/abs/10.1145/3611643.3613866)] * NetDiffus: Network Traffic Generation by Diffusion Models through Time-Series Imaging, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2310.04429)] * SOIL: Score Conditioned Diffusion Model for Imbalanced Cloud Failure Prediction, in *WWW* 2024. [[paper](https://dl.acm.org/doi/abs/10.1145/3589335.3648303)] * Dynamic Splitting of Diffusion Models for Multivariate Time Series Anomaly Detection in a JointCloud Environment, in *Knowledge Science, Engineering and Management* 2024. [[paper](https://link.springer.com/chapter/10.1007/978-981-97-5498-4_3)] * ProDiffAD: Progressively Distilled Diffusion Models for Multivariate Time Series Anomaly Detection in JointCloud Environment, in *IJCNN* 2024. [[paper](https://ieeexplore.ieee.org/abstract/document/10650364)] [[official-code](https://github.com/AiShare-WHU/ProDiffAD)] * AdaDiffAD: Adaptively Segmenting Diffusion Models for Time Series Anomaly Detection in Dynamic JointCloud Environment, in *IEEE 30th International Conference on Parallel and Distributed Systems* 2024. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10763788)] * Execution Trace Reconstruction Using Diffusion-Based Generative Models, in *ICSE* 2025. [[paper](https://users.encs.concordia.ca/~abdelw/papers/ICSE2025_TraceConstruction.pdf)] [[official-code](https://github.com/janecekm/TraceReconstruction)] ### Environment * TimeDDPM: Time series augmentation strategy for industrial soft sensing, in *IEEE Sensors Journal* 2023. [[paper](https://ieeexplore.ieee.org/abstract/document/10353969)] * Deep Diffusion Models for Seismic Processing, in *Computers & Geosciences* 2023. [[paper](https://arxiv.org/abs/2207.10451)] * Data-driven and knowledge-guided denoising diffusion model for flood forecasting, in *Expert Systems with Applications* 2023. [[paper](https://www.sciencedirect.com/science/article/pii/S0957417423034103)] * Time Series Diffusion Method: A Denoising Diffusion Probabilistic Model for Vibration Signal Generation, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2312.07981)] * Quantifying uncertainty: Air quality forecasting based on dynamic spatial-temporal denoising diffusion Probabilistic model, in *Environmental Research* 2024. [[paper](https://www.sciencedirect.com/science/article/pii/S0013935124003426)] * Exploring denoising diffusion probabilistic model for daily streamflow gap filling in Central Asia typical watersheds, in *Journal of Hydrology: Regional Studies* 2024. [[paper](https://www.sciencedirect.com/science/article/pii/S2214581824000491)] * Cold Diffusion Model for Seismic Denoising, 2024. [[paper](https://essopenarchive.org/users/750010/articles/721094-cold-diffusion-model-for-seismic-denoising)] [[official-code](https://github.com/Daniele-Trappolini/Diffusion-Model-for-Earthquake)] * Comparative Analysis of TEC Prediction Models During Geomagnetic Storm and Quiet Conditions Using Diffusion, Transformer, and SARIMA, 2024. [[paper](https://essopenarchive.org/doi/full/10.22541/essoar.171291801.18571788/v1)] * A diffusion model-based framework USDDM for random noise elimination of seismic signal, in *Earth Science Informatics* 2024. [[paper](https://link.springer.com/article/10.1007/s12145-024-01333-3)] * SeisResoDiff: Seismic resolution enhancement based on a diffusion model, in *Petroleum Science* 2024. [[paper](https://www.sciencedirect.com/science/article/pii/S1995822624001869)] ### Traffic * DiffUFlow: Robust Fine-grained Urban Flow Inference with Denoising Diffusion Model, in *CIKM* 2023. [[paper](https://dl.acm.org/doi/abs/10.1145/3583780.3614842)] * Origin-Destination Travel Time Oracle for Map-based Services, in *SIGMOD* 2023. [[paper](https://arxiv.org/abs/2307.03048)] * A Graph-Based Scene Encoder for Vehicle Trajectory Prediction Using the Diffusion Model, in *CSIS-IAC* 2023. [[paper](https://ieeexplore.ieee.org/abstract/document/10363970)] * Generating HSR Bogie Vibration Signals via Pulse Voltage-Guided Conditional Diffusion Model, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2311.00496)] [[official-code](https://github.com/xuanliu2000/VGCDM)] * DiffTAD: Denoising diffusion probabilistic models for vehicle trajectory anomaly detection, in *Knowledge-Based Systems* 2024. [[paper](https://www.sciencedirect.com/science/article/pii/S0950705124000224)] [[official-code](https://github.com/Psychic-DL/DiffTAD)] * Utilizing a Diffusion Model for Pedestrian Trajectory Prediction in Semi-Open Autonomous Driving Environments, in *IEEE sensors journal* 2024. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10489838)] * Knowledge Guided Conditional Diffusion Model for Controllable Mobile Traffic Generation, in *WWW* 2024. [[paper](https://dl.acm.org/doi/10.1145/3589335.3651530)] * DSDRec: Next POI recommendation using deep semantic extraction and diffusion model, in *Information Sciences* 2024. [[paper](https://www.sciencedirect.com/science/article/pii/S0020025524009186)] * Diffusion probabilistic model for bike-sharing demand recovery with factual knowledge fusion, in *Neural Networks* 2024. [[paper](https://www.sciencedirect.com/science/article/pii/S0893608024004623)] * A conditional diffusion model for probabilistic estimation of traffic states at sensor-free locations, in *Transportation Research Part C* 2024. [[paper](https://www.sciencedirect.com/science/article/pii/S0968090X2400319X)] * DifTraj: Diffusion Inspired by Intrinsic Intention and Extrinsic Interaction for Multi-Modal Trajectory Prediction, in *IJCAI* 2024. [[paper](https://www.ijcai.org/proceedings/2024/0125.pdf)] * CDSTraj: Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving, in *IJCAI* 2024. [[paper](https://www.ijcai.org/proceedings/2024/0811.pdf)] * SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting, in *ArXiv* 2024. [[paper](https://arxiv.org/abs/2401.08119)] [[official-code](https://anonymous.4open.science/r/SpecSTG/)] * Intention-aware Denoising Diffusion Model for Trajectory Prediction, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2403.09190)] * Diffusion-Based Environment-Aware Trajectory Prediction, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2403.11643)] * Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation, in *ArXiv* 2024. [[paper](https://www.arxiv.org/pdf/2402.07369)] * SatDiffMoE: A Mixture of Estimation Method for Satellite Image Super-resolution with Latent Diffusion Models, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2406.10225)] * Crossfusor: A Cross-Attention Transformer Enhanced Conditional Diffusion Model for Car-Following Trajectory Prediction, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2406.11941)] * Map2Traj: Street Map Piloted Zero-shot Trajectory Generation with Diffusion Model, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2407.19765)] * Long-Term Vessel Trajectory Imputation with Physics-Guided Diffusion Probabilistic Model, in *KDD* 2024. [[paper](https://dl.acm.org/doi/abs/10.1145/3637528.3672086)] * DiffCrime: A Multimodal Conditional Diffusion Model for Crime Risk Map Inference, in *KDD* 2024. [[paper](https://dl.acm.org/doi/pdf/10.1145/3637528.3671843)] [[official-code](https://github.com/IvoPan93/DiffCrime)] * Diffusion Model-based Mobile Traffic Generation with Open Data for Network Planning and Optimization, in *KDD* 2024. [[paper](https://dl.acm.org/doi/pdf/10.1145/3637528.3671544)] [[official-code](https://github.com/impchai/OpenDiff-diffusion-model-with-open-data)] * TrajWeaver: Trajectory Recovery with State Propagation Diffusion Model, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2409.02124)] [[official-code](https://anonymous.4open.science/r/TrajWeaver/)] * A Spatial-Temporal Large Language Model with Diffusion (STLLM-DF) for Enhanced Multi-Mode Traffic System Forecasting, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2409.05921)] * DM-BDD: Real-time Vessel Trajectory Prediction Based on Diffusion Probability Model Balancing Diversity and Determinacy, in *IJCNN* 2024. [[paper](https://ieeexplore.ieee.org/abstract/document/10649942)] * DiffuTraj: A Stochastic Vessel Trajectory Prediction Approach via Guided Diffusion Process, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2410.09550)] * Traj-Explainer: An Explainable and Robust Multi-modal Trajectory Prediction Approach, in *ArXiv* 2024. [[paper](https://arxiv.org/abs/2410.16795)] * FoMo: A Foundation Model for Mobile Traffic Forecasting with Diffusion Model, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2410.15322)] * DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data, in *NeurIPS*, 2024. [[paper](https://arxiv.org/pdf/2410.22938)] [[official-code](https://github.com/lokol5579/DiffLight-release)] * Predicting Trajectory Destinations Based on Diffusion Model Integrating Spatiotemporal Features and Urban Contexts, in *International Journal of Digital Earth*, 2024. [[paper](https://www.tandfonline.com/doi/pdf/10.1080/17538947.2024.2421955)] * A Network Traffic Data Generation Model Based on AOT-DDPM for Abnormal Traffic Detection, *Evolving Systems*, 2024. [[paper](https://link.springer.com/article/10.1007/s12530-024-09644-y)] * Regional Features Conditioned Diffusion Models for 5G Network Traffic Generation, *SIGSPATIAL*, 2024. [[paper](https://dl.acm.org/doi/pdf/10.1145/3678717.3691312)] * Spatiotemporal Imputation of Traffic Emissions With Self-Supervised Diffusion Model, *IEEE Transactions on Neural Networks and Learning Systems*, 2024. [[paper](https://ieeexplore.ieee.org/abstract/document/10758344)] * TAMHA-DDPM: A Time-Aware Multi-Head Attention Denoising Diffusion Probability Model for Fuzzy Data Optimization in Intelligent Transportation Systems, in *IEEE Transactions on Intelligent Transportation Systems* 2024. [[paper](https://ieeexplore.ieee.org/abstract/document/10817476)] * Spatio-Temporal Knowledge driven Diffusion Model for Mobile Traffic Generation, in *IEEE Transactions on Mobile Computing* 2025. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10836819&casa_token=8HLqfwG7718AAAAA:u8L2LIlxEhLSCVVhlRnqgCHyoI1oIO0Lg2qqsSqxzKdY2fYSaNUUut2P_iJ4x-i13odEwMo)] * STCDM: Spatio-Temporal Contrastive Diffusion Model for Check-in Sequence Generation, in *IEEE Transactions on Knowledge and Data Engineering* 2025. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10836764&casa_token=F7eMj_BaEVQAAAAA:q-QOdPjYyUqj7MpBN_qFwHPHQlnEnrpjLfPUdA2Rd7wSb_Su3wmXQRMEO4LUBfgRwhwYY6o&tag=1)] [[official-code](https://github.com/LetianGong/STCDM)] * DiffGSL: A Graph Structure Learning Diffusion Model for Dynamic Spatio-Temporal Forecasting, in *IEEE International Conference on Big Data (BigData)* 2025. [[paper](https://ieeexplore.ieee.org/abstract/document/10825558)] * GooDFlight: Goal-Oriented Diffusion Model for Flight Trajectory Prediction, in *IEEE Transactions on Aerospace and Electronic Systems* 2025. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10858371)] * Collaborative Deterministic-Diffusion Model for Probabilistic Urban Spatiotemporal Prediction, in *ArXiv* 2025. [[paper](https://arxiv.org/pdf/2502.11013)] * A Diffusion Model for Traffic Data Imputation, in *IEEE/CAA Journal of Automatica Sinica* 2025. [[paper](https://www.ieee-jas.net/en/article/id/379d72aa-0d31-46f8-9f36-8764ba22fc7b)] * SMOTE-Diffusion: A Combined Approach for Authentic Data Generation for Time-domain Radar Signal in Intelligent Transportation System, in *IEEE Sensors Journal* 2025. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10909232)] * TSGDiff: Traffic state generative diffusion model using multi-source information fusion, in *Transportation Research Part C: Emerging Technologies* 2025. [[paper](https://www.sciencedirect.com/science/article/pii/S0968090X25000853)] * AutoSTDiff: Autoregressive Spatio-Temporal Denoising Diffusion Model for Asynchronous Trajectory Generation, in *SIAM* 2025. [[paper](https://epubs.siam.org/doi/pdf/10.1137/1.9781611978520.58)] [[official-code](https://github.com/Rongchao98/AutoSTDiff)] * Denoising Diffusion Probabilistic Models for Coastal Inundation Forecasting, in *ArXiv* 2025. [[paper](https://arxiv.org/pdf/2505.05381)] * A Semi-Supervised Diffusion-Based Paradigm for Vehicle-Track System Health Monitoring With Distributed Acoustic Sensing, in *IEEE Transactions on Intelligent Transportation Systems* 2025. [[paper](https://ieeexplore.ieee.org/abstract/document/11125815)] * Score-Based Spatial-Temporal Point Process for Traffic Accident Prediction, in *IEEE Transactions on Intelligent Transportation Systems* 2025. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11173997)] * Probabilistic and Interaction-Aware Trajectory Prediction Using Score-Based Diffusion Models, in *IEEE Transactions on Industrial Informatics* 2025. [[paper](https://ieeexplore.ieee.org/abstract/document/11192085)] * Stamp: Semantic-Aware Sub-trajectory Anomaly Detection with Diffusion Multi-model Pool for Evolving Data Streams, in *CIKM* 2025. [[paper](https://dl.acm.org/doi/pdf/10.1145/3746252.3761088)] ### Manufacturing * Multi-scale Conditional Diffusion Model for Deposited Droplet Volume Measurement in Inkjet Printing Manufacturing, in *Journal of Manufacturing Systems* 2023. [[paper](https://www.sciencedirect.com/science/article/pii/S0278612523002042)] * Missing Data Filling in Soft Sensing Using Denoising Diffusion Probability Model, in *Measurement Science and Technology* 2023. [[paper](https://iopscience.iop.org/article/10.1088/1361-6501/ad095a)] * Unsupervised Statistical Feature-Guided Diffusion Model for Sensor-based Human Activity Recognition, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2306.05285)] * Attention-enhanced conditional-diffusion-based data synthesis for data augmentation in machine fault diagnosis, in *Engineering Applications of Artificial Intelligence* 2024. [[paper](https://www.sciencedirect.com/science/article/pii/S0952197623018808)] * A novel gear RUL prediction method by diffusion model generation health index and attention guided multi-hierarchy LSTM, in *Scientific Reports* 2024. [[paper](https://www.nature.com/articles/s41598-024-52151-y)] * Diffusion-UDA: Diffusion-based unsupervised domain adaptation for submersible fault diagnosis, in *Electronics Letters* 2024. [[paper](https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/ell2.13122)] * Denoising diffusion implicit model for bearing fault diagnosis under different working loads, in *ITM Web of Conferences* 2024. [[paper](https://www.itm-conferences.org/articles/itmconf/abs/2024/06/itmconf_amict2023_01025/itmconf_amict2023_01025.html)] * AIGC for RF Sensing: The Case of RFID-based Human Activity Recognition, in *International Conference on Computing, Networking and Communications* 2024. [[paper](http://www.conf-icnc.org/2024/papers/p1092-wang.pdf)] * Online prediction of mechanical and electrical quality in ultrasonic metal welding using time series generation and deep learning, in *Engineering Failure Analysis* 2024. [[paper](https://www.sciencedirect.com/science/article/pii/S1350630724002085)] * A novel stochastic process diffusion model for wind turbines condition monitoring and fault identification with multi-parameter information fusion, in *Mechanical Systems and Signal Processing* 2024. [[paper](https://www.sciencedirect.com/science/article/pii/S0888327024002954#f0030)] * Diffusion Generative Model-Based Learning for Smart Layer-Wise Monitoring of Additive Manufacturing, in *J. Comput. Inf. Sci. Eng.* 2024. [[paper](https://asmedigitalcollection.asme.org/computingengineering/article-abstract/24/6/060903/1198720/Diffusion-Generative-Model-Based-Learning-for?redirectedFrom=PDF)] * Reconstruction-Based Anomaly Detection in Wind Turbine Operation Time Series Using Generative Models, in *Advances in Artificial Intelligence* 2024. [[paper](https://link.springer.com/chapter/10.1007/978-3-031-62799-6_20)] * Parameter sharing fault data generation method based on diffusion model under imbalance data, in *Measurement Science and Technology* 2024. [[paper](https://iopscience.iop.org/article/10.1088/1361-6501/ad5de9)] * Attention-enhanced conditional-diffusion-based data synthesis for data augmentation in machine fault diagnosis, in *Engineering Applications of Artificial Intelligence* 2024. [[paper](https://dl.acm.org/doi/abs/10.1016/j.engappai.2023.107696)] * DF-CDM: Conditional diffusion model with data fusion for structural dynamic response reconstruction, in *Mechanical Systems and Signal Processing* 2024. [[paper](https://www.sciencedirect.com/science/article/pii/S0888327024006812)] * Data augmentation based on diffusion probabilistic model for remaining useful life estimation of aero-engines, in *Reliability Engineering and System Safety* 2024. [[paper](https://www.sciencedirect.com/science/article/pii/S0951832024004666)] * Multi-source domain adaptation using diffusion denoising for bearing fault diagnosis under variable working conditions, in *Knowledge-Based Systems* 2024. [[paper](https://www.sciencedirect.com/science/article/pii/S095070512401030X)] * Diff-MTS: Temporal-Augmented Conditional Diffusion-based AIGC for Industrial Time Series Towards the Large Model Era, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2407.11501)] * Classifier-Free Diffusion-Based Weakly-Supervised Approach for Health Indicator Derivation in Rotating Machines: Advancing Early Fault Detection and Condition Monitoring, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2409.01676)] * Analysis of Human Activity Recognition by Diffusion Models, in *UbiComp* 2024. [[paper](https://dl.acm.org/doi/abs/10.1145/3675094.3678439)] * A bearing fault data augmentation method based on hybrid-diversity loss diffusion model and parameter transfer, in *Reliability Engineering & System Safety* 2024. [[paper](https://www.sciencedirect.com/science/article/pii/S0951832024006392)] * Extremely imbalanced data intelligent fault diagnosis of rotating impeller with improved denoising diffusion probabilistic models, in *Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture* 2024. [[paper](https://journals.sagepub.com/doi/abs/10.1177/09544054241289981)] * Denoising diffusion probabilistic model-enabled data augmentation method for intelligent machine fault diagnosis, in *Engineering Applications of Artificial Intelligence* 2024. [[paper](https://www.sciencedirect.com/science/article/pii/S0952197624016786)] * Diffusion-driven Incomplete Multimodal Learning for Air Quality Prediction, in *ACM Transactions on Internet of Things*, 2024. [[paper](https://dl.acm.org/doi/abs/10.1145/3702243)] [[official-code](https://github.com/pestasu/IMMAir)] * IMUDiffusion: A Diffusion Model for Multivariate Time Series Synthetisation for Inertial Motion Capturing Systems, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2411.02954)] * Guided Diffusion Model for Sensor Data Obfuscation, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2412.14499)] * Frequency domain guided latent diffusion model for domain generalization in cross-machine fault diagnosis, in *Measurement* 2025. [[paper](https://www.sciencedirect.com/science/article/pii/S0263224125003483)] * Data Augmentation Fault Diagnosis of Rolling Machinery Using Condition Denoising Diffusion Probabilistic Model and Improved CNN, in *IEEE Transactions on Instrumentation and Measurement* 2025. [[paper](https://ieeexplore.ieee.org/abstract/document/10902598)] * Generative Diffusion Model-Based Deep Learning Framework for Remaining Useful Life Prediction, in *IEEE Internet of Things Journal* 2025. [[paper](https://ieeexplore.ieee.org/abstract/document/10916662)] * A diffusion model-based deep learning approach for denoising acoustic emission signals in concrete, in *Measurement* 2025. [[paper](https://www.sciencedirect.com/science/article/pii/S0263224125005020)] * Dual-Control Inference Diffusion Model via Multi-Sensor High-Frequency Signal for Space Transportation Engine Anomaly Detection, in *IEEE Transactions on Intelligent Transportation Systems* 2025. [[paper](https://ieeexplore.ieee.org/abstract/document/10927026)] * Augmentation Framework for HVAC Fault Diagnosis Based on Denoising Diffusion Models, in *Journal of Building Engineering* 2025. [[paper](https://www.sciencedirect.com/science/article/pii/S2352710225008836)] * A novel lightweight DDPM-based data augmentation method for rotating machinery fault diagnosis with small sample, in *Mechanical Systems and Signal Processing* 2025. [[paper](https://www.sciencedirect.com/science/article/pii/S088832702500442X)] * Conditional Time Series Diffusion Model for High-Speed Train Multi-Sensor Signals Imputation, in *IEEE Transactions on Intelligent Transportation Systems* 2025. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10964776)] * A novel diffusion model with Shapley value analysis for anomaly detection and identification of wind turbine, in *Expert Systems With Applications* 2025. [[paper](https://www.sciencedirect.com/science/article/pii/S0957417425015477)] * Diffusion model-assisted cross-domain fault diagnosis for rotating machinery under limited data, in *Reliability Engineering and System Safety* 2025. [[paper](https://www.sciencedirect.com/science/article/pii/S0951832025005733)] * A health monitoring and early fault detection method of rotating machines based on latent variables of diffusion model, in *Mechanical Systems and Signal Processing* 2025. [[paper](https://www.sciencedirect.com/science/article/pii/S0888327025008234)] * Diffusion-augmented contrastive learning framework for quantitative diagnosis under limited data conditions, in *Advanced Engineering Informatics* 2025. [[paper](https://www.sciencedirect.com/science/article/pii/S1474034625008237)] * Simulation driven speed aware conditional diffusion model and its application to domain generalization fault diagnosis of bearings, in *Measurement* 2025. [[paper](https://www.sciencedirect.com/science/article/pii/S0263224125027770)] * Temporal latent diffusion model for machine degradation trend forecasting, in *Knowledge-Based Systems* 2025. [[paper](https://www.sciencedirect.com/science/article/pii/S0950705125017915)] * IMU data imputation with diffusion models and spatiotemporal consistency constraints for inertial navigation, in *Measurement* 2025. [[paper](https://www.sciencedirect.com/science/article/pii/S0263224125029483)] ### Audio * DiffWave: A Versatile Diffusion Model for Audio Synthesis, in *ICLR* 2021. [[paper](https://arxiv.org/abs/2009.09761)] [[official-code](https://diffwave-demo.github.io/)] * Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain, in *Interspeech* 2022. [[paper](https://arxiv.org/pdf/2203.17004)] * Conditional Diffusion Probabilistic Model for Speech Enhancement in *ICASSP* 2022. [[paper](https://arxiv.org/pdf/2202.05256)] [[official-code](https://github.com/neillu23/CDiffuSE)] * Universal Speech Enhancement with Score-based Diffusion in *ArXiv* 2022. [[paper](https://arxiv.org/pdf/2206.03065)] * Speech Enhancement and Dereverberation with Diffusion-based Generative Models, in *IEEE/ACM Transactions on Audio, Speech, and Language Processing* 2023. [[paper](https://arxiv.org/abs/2208.05830)] [[official-code](https://github.com/sp-uhh/sgmse)] * StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation, *IEEE/ACM Transactions on Audio, Speech, and Language Processing* 2023. [[paper](https://arxiv.org/abs/2212.11851)] [[official-code](https://github.com/sp-uhh/storm)] * Reducing the Prior Mismatch of Stochastic Differential Equations for Diffusion-based Speech Enhancement, in *Interspeech* 2023. [[paper](https://arxiv.org/abs/2302.14748)] [[official-code](https://github.com/sp-uhh/sgmse-bbed)] * Revisiting denoising diffusion probabilistic models for speech enhancement: Condition collapse, efficiency and refinement, in *AAAI* 2023. [[paper](https://ojs.aaai.org/index.php/AAAI/article/view/26597)] [[official-code](https://github.com/judiebig/DR-DiffuSE)] * Dose: Diffusion dropout with adaptive prior for speech enhancement, in *NeurIPS* 2023. [[paper](https://proceedings.neurips.cc/paper_files/paper/2023/hash/7e966a12c2d6307adb8809aaa9acf057-Abstract-Conference.html)] [[official-code](https://github.com/ICDM-UESTC/DOSE)] * A Study on Speech Enhancement Based on Diffusion Probabilistic Model, in *APSIPA* 2023. [[paper](https://arxiv.org/pdf/2107.11876)] [[official-code](https://github.com/neillu23/DiffuSE)] * CRA-DIFFUSE: Improved Cross-Domain Speech Enhancement Based on Diffusion Model with T-F Domain Pre-Denoising, in *ICME* 2023. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10219860)] * Fast Diffusion GAN Model for Symbolic Music Generation Controlled by Emotions, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2310.14040)] * DiffuseRoll: multi-track multi-attribute music generation based on diffusion model, in *Multimedia Systems* 2024. [[paper](https://link.springer.com/article/10.1007/s00530-023-01220-9)] [[official-code](https://github.com/Fairywang9/DiffuseRoll)] * Pre-training Feature Guided Diffusion Model for Speech Enhancement, in *Interspeech* 2024. [[paper](https://arxiv.org/abs/2406.07646)] * Combining audio control and style transfer using latent diffusion, in *ISMIR* 2024. [[paper](https://arxiv.org/pdf/2408.00196)] [[official-code](https://github.com/NilsDem/control-transfer-diffusion/)] * Long-form music generation with latent diffusion, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2404.10301)] [[official-code](https://github.com/Stability-AI/stable-audio-tools/)] * Unsupervised Blind Joint Dereverberation and Room Acoustics Estimation with Diffusion Models, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2408.07472)][[official-code](https://github.com/sp-uhh/buddy)] * DreamHead: Learning Spatial-Temporal Correspondence via Hierarchical Diffusion for Audio-driven Talking Head Synthesis, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2409.10281)] * ImmerseDiffusion: A Generative Spatial Audio Latent Diffusion Model, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2410.14945)] * Sparsity Measures-Enhanced Targeted Diffusion Probabilistic Model for Acoustic Signal Recovery, in *IEEE Transactions on Instrumentation and Measurement* 2024. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10802969)] * A Diffusion Model Based on Hilbert-Huang Reconstruction for Pathological Voice Generation, in *IEEE Transactions on Audio, Speech and Language Processing* 2025. [[paper](https://ieeexplore.ieee.org/abstract/document/11082429)] ### Biology * Generation of synthetic whole-slide image tiles of tumours from RNA-sequencing data via cascaded diffusion models, in *Nature Biomedical Engineering* 2024. [[paper](https://www.nature.com/articles/s41551-024-01193-8#peer-review)] [[official-code](https://rna-cdm.stanford.edu/Download_Code)] * Latent Diffusion for Neural Spiking Data, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2407.08751)][[official-code](https://github.com/mackelab/LDNS)] * Pretrained-Guided Conditional Diffusion Models for Microbiome Data Analysis, in *ArXiv* 2024. [[paper](https://arxiv.org/pdf/2408.07709)][[official-code](https://github.com/wenwenmin/mbVDiT)] ### Communication * Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction, in *ArXiv* 2025. [[paper](https://arxiv.org/pdf/2501.13794)] * One Fits All: General Mobility Trajectory Modeling via Masked Conditional Diffusion, in *ArXiv* 2025. [[paper](https://arxiv.org/pdf/2501.13347)] * An LLM-Enhanced Conditional Diffusion Model for Mobile Traffic Prediction, in *IEEE Communications Magazine* 2025. [[paper](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11152704)] * Interference Waveform Generation Based on Diffusion Transformer Model, in *IEEE Communications Letters* 2025. [[paper](https://ieeexplore.ieee.org/document/11207613)] ## Related Diffusion Model Resources and Surveys * A Survey on Generative Diffusion Models, in *ArXiv* 2022. [[paper](https://arxiv.org/abs/2209.02646)] [[link](https://github.com/YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy)] * Diffusion Models: A Comprehensive Survey of Methods and Applications, in *ACM Computing Surveys* 2023. [[paper](https://arxiv.org/abs/2209.00796)] [[link](https://github.com/chq1155/A-Survey-on-Generative-Diffusion-Model)] * Diffusion Models for Time Series Applications: A Survey, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2305.00624)] * A Comprehensive Survey on Generative Diffusion Models for Structured Data, in *ArXiv* 2023. [[paper](https://arxiv.org/abs/2306.04139)] [[link](https://deepai.org/publication/a-survey-on-generative-diffusion-models-for-structured-data)] * Awesome-Diffusion-Models. [[link](https://diff-usion.github.io/Awesome-Diffusion-Models/)]