Kuai Dai   代快

Post-Doc Fellow

Hong Kong University of Science and Technology (HKUST),
Clear Water Bay, Kowloon, 999077

Email: dkuaiatustdot com

Kuai Dai

About Me

I have obtained my Ph.D. degree in the Computer Science Dept. at Harbin Institute of Technology (Shenzhen) under the supervision of Prof. Xutao Li .
I concentrate on AI techniques to solve practical problems. My current research interests include a series of topics: Spatial-Temporal Data Mining, Predcitive Learning, Remote Sensing Data Mining, Weather Forecast, Solar Radiation Forecast. Now I am a post-doc fellow at Hong Kong University of Science and Technology guided by Prof. Hui Su .

Research

  • Satellite Data Mining

  • Predcitive Learning

  • Applied Spatial-Temporal Sequence Prediction such as Weather Forecast, Solar Radiation Forecast

    • Selected Publications

    Preprints

    Four-hour thunderstorm nowcasting using deep diffusion models of satellite.

    Kuai Dai, Xutao Li, Junying Fang, Yunming Ye, Demin Yu, Di Xian, Danyu Qin.

    arXiv preprint arXiv: 2404.10512, 2024. [arXiv] [PDF]

    Conference Papers

    DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting.

    Demin Yu, Xutao Li*, Yunming Ye, Baoquan Zhang, Chuyao Luo, Kuai Dai, Rui Wang, Xunlai Chen.

    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [PDF]

    Journal Papers

    TinyPredNet: A-Lightweight-Framework-for-Satellite-Image-Sequence-Prediction.

    Kuai Dai, Xutao Li*, Huiwei Lin, Yin Jiang, Xunlai Chen, Yunming Ye, Di Xian.

    ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2023. [PDF] [Code]
    Learning spatial-temporal consistency for satellite image sequence prediction.

    Kuai Dai, Xutao Li*, Chi Ma, Shenyuan Lu, Yunming Ye, Di Xian, Lin Tian, Danyu Qin.

    IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023. [PDF] [CODE]
    Exploring and Exploiting High-Order Spatial-Temporal Dynamics for Long-Term Frame Prediction.

    Kuai Dai, Xutao Li*, Yunming Ye, Yaowei Wang, Shanshan Feng, Di Xian.

    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023. [PDF]
    MSTCGAN: Multiscale time conditional generative adversarial network for long-term satellite image sequence prediction.

    Kuai Dai, Xutao Li*, Yunming Ye, Shanshan Feng, Danyu Qin, Rui Ye.

    IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022. [PDF] [CODE]

    News


  • 2024.12.21, A nice Christmas day activity of CliMet Lab.

  • 2024.9.30, I was awarded for 2024 Harbin Institute of Technology's Outstanding PhD Dissertation.

  • 2024.9.28, A short trip to Harbin.

  • 2024.9.20, The paper and source codes of DDMS [PDF] is updated [CODE].

  • 2024.6.25, The pretrained model and source codes of DDMS [PDF] is available [CODE].

  • 2024.4.24, The pretrained model and source codes of STCNet [PDF] is available [CODE].

  • 2024.4.16, one paper titled Four-hour thunderstorm nowcasting using deep diffusion models of satellite is submitted to [arXiv].

  • 2024.4.4, The pretrained model and source codes of MSTCGAN [PDF] is available [CODE].

  • 2024.2.27, one co-author paper is accepted by CVPR 2024.

  • 2024.1.22, one academic contribution honor is awarded by ICES (Shenzhen).

  • 2024.1.22, team entertainment activities of ICES Lab to OCT East & Dameisha Seaside Park .

  • 2023.12.23, one paper is accepted by TOMM.

  • 2023.08.07, one paper is accepted by TGRS.

  • 2023.07.31, team entertainment activities of ICES Lab to Shenzhen Observatory.

  • 2023.07.24, one paper is accepted by TCSVT.

  • 2023.07.09~2023.07.14, a special activity of HIT PHD for Chongqing.

  • 2022.06.04, one paper is accepted by TGRS.

    • Academic Journal Review Services

    Paper reviewer for Information Science (INS), Neural Networks (NN), Knowledge Based Systems (KBS), Applied Intelligence (APIN), Expert Systems With Applications (ESWA), Journal of Cleaner Production (JCLEPRO), Current Bioinformatics, International Journal of Machine Learning and Cybernetics, and BioMedical Engineering OnLine.

    Academic Conference Review Services

    Paper reviewer for COLING 2025.

    Work Experience

    Applied Scientist Intern in Mircosoft STCA, 2023-10 & 11. Post-Doc Fellow at HKUST, 2024-11 - Now.

    Teaching Experience

    Teaching Assistant for Compilers: Principles, Techniques, and Tools, HITSZ, Fall 2022.

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