I am now a Research Assistant at AI Thrust, The Hong Kong University of Science and Technology (Guangzhou), supervised by Prof. Junwei Liang. I got my master degree from The Chinese University of Hongkong, Shenzhen, advised by Prof. Xiaoguang Han. Before that, I received my bachelor degree from Shanghai Jiao Tong University, supervised by Prof.Dahong Qian.

My previous research experience included Medical Image Analysis(Classification, Detection, Segmentation) and Face Recognition.

At present, my research interest lies in Spatial-temporal Forecasting/Video Prediction, Time Series Forecasting and AI4Science(Medical, Climate, Finance, etc.).

I’m actively applying for CS/CV internships, RAs and Ph.D. positions in 2025 Spring or 2025 Fall. Feel free to email me for cooperations or potential interviews.

🔥 News

  • 2024.03:  VMRNN was released. Paper Code Stars
  • 2024.03:  Yujin was invited to give a talk in CUHKSZ as the youngest graduate alumna in Data Science College. Congratulations to the 10th anniversary of CUHKSZ! 🎉🎉 Slides
  • 2024.03:  🎉🎉 PostRainBench was accepted as a spotlight paper by ICLR24 Workshop: Tackling Climate Change with Machine Learning! See you in Vienna!
  • 2024.01:  Yujin created Awesome-Mamba-Papers repository and keep updating it. Link Stars
  • 2023.11:  Yujin graduated from CUHKSZ with a master’s degree in Data Science!
  • 2023.07:  🎉🎉 Yujin won Excellence Award in Jinan, Shandong in 0-24 hours Precipitation Nowcasting Challenge, ranking 6th over 1000+ teams after first round, second round and final as the only single-person team even without atmosphere background! Slides
  • 2023.01:  Yujin served as TA for AIAA 5032 Foundations of Artificial Intelligence in HKUSTGZ, Spring 2023, Instructors: Junwei Liang.

📝 Publications

arxiv, 2024
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VMRNN: Integrating Vision Mamba and LSTM for Efficient and Accurate Spatiotemporal Forecasting

Yujin Tang, Peijie Dong, Zhenheng Tang, Xiaowen Chu, Junwei Liang

Paper Code

ICLR Workshop, 2024, Spotlight
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PostRainBench: A comprehensive benchmark and a new model for precipitation forecasting

Yujin Tang, Jiaming Zhou, Xiang Pan, Zeying Gong, Junwei Liang

Paper Code

arXiv, 2023
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PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting

Zeying Gong, Yujin Tang, Junwei Liang

Paper Code

experience

MICCAI, 2020
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Ovarian Cancer Prediction in Proteomic Data Using Stacked Asymmetric Convolution

Yuan Cheng, Yujin Tang, Dahong Qian

Paper

📖 Educations

  • 2021.09 - 2023.07, MSc, The Chinese University of Hongkong, Shenzhen, Data Science
  • 2017.09 - 2021.06, Bachelor, Shanghai Jiao Tong University, Biomedical Engineering

💻 Internships

  • 2023.02 - now, Research Assistant, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou
  • 2022.09 - 2023.01, Quant Researcher Intern, Kunshan Technology / Kunteng Investment, Shenzhen
  • 2022.06 - 2023.08, Algorithm Engineer Intern, Hikvision Research Institute, Hangzhou
  • 2021.07 - 2022.02, Reseach Assistant, Shenzhen Research Institute of Big Data, Shenzhen

📕 Notes

Diffusion Model Seminar: A Review on Diffusion Models and It’s Application in Spatiotemporal Forecasting Slides

AI4Weather Seminar: A Review on FourCastNet/Pangu/GraphCast/Climax/Fenwu Slides

Course Project for MDS6004 Computer Vision: Deep Rectangling in Irregular Panoramas Slides

Computer Vision PhD Survival Guide Series(1) CV Paper Tracking and Writing

Computer Vision PhD Survival Guide Series(2) Code Release Process and Tools

Computer Vision PhD Survival Guide Series(3) SSH Configuration and Common Linux Command