I am now a Visiting Student working with Prof. Ming-Hsuan Yang at UC Merced and Prof. Chao Ma at AI Institute, Shanghai Jiao Tong University. I am working closely with Dr. Lu Qi, Dr. Xiangtai Li at Tiktok and Dr. Fei Xie at SJTU. I was previously a Research Assistant at AI Thrust, The Hong Kong University of Science and Technology (Guangzhou), supervised by Prof. Junwei Liang. I got my master’s degree from The Chinese University of Hongkong, Shenzhen, advised by Prof. Xiaoguang Han. Before that, I received my bachelor’s degree from Shanghai Jiao Tong University.

My previous research experience included Spatial-Temporal Forcasting, Time Series Forecasting and AI4Science(Climate and Healthcare).

My long-term research interests lie in:

  • Modern Computer Vision System Design (Neural network structures, training procedures, optimization and generalization)
  • Spatial-Temporal and Time Series Modeling
  • AI4Science(Climate, Environment, Healthcare, etc)
'A wise person sees what is coming before it happens.'
Representative Work: PredFormer(Under Review)
I'm actively applying for CS Ph.D. positions in 2025 Fall. Feel free to email me for academic cooperations or potential interviews.

🔥 News

  • 2024.10:  PredFormer is available! This is the first pure-transformer based model in spatial-temporal predictive learning, which is recurrent-free and convolution-free, outperforming previous models by large margins with superior efficiency. Paper Code Stars
  • 2024.06:  🎉🎉 PatchMixer was accepted by IJCAIW24!
  • 2024.04:  🎉🎉 VMRNN was accepted by CVPRW24!
  • 2024.03:  Yujin was invited to give a talk in CUHKSZ in Data Science College. Congratulations to the 10th anniversary of CUHKSZ! 🎉🎉 Slides
  • 2024.03:  🎉🎉 PostRainBench was accepted by ICLRW24!
  • 2024.01:  Yujin created Awesome-Mamba-Papers repository and keep updating it. This is the first Awesome Mamba repository and promotes Mamba related research. Link Stars
  • 2023.07:  🎉🎉 Yujin won Excellence Award in Jinan, Shandong in 0-24 hours Precipitation Nowcasting Challenge! Slides
  • 2023.01:  Yujin served as TA for AIAA 5032 Foundations of Artificial Intelligence in HKUSTGZ, Spring 2023, Instructors: Junwei Liang.

📝 Publication & PrePrint

Arxiv, 2024
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PredFormer: Transformers Are Effective Spatial-Temporal Predictive Learners

Yujin Tang, Lu Qi, Fei Xie, Xiangtai Li, Chao Ma, Ming-Hsuan Yang

Paper Code Stars 知乎 时空探索之旅 圆圆的算法笔记 CVer Kaggle竞赛宝典 深度学习工坊 我爱计算机视觉

CVPR Precognition Workshop, 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 Stars

ICLR Workshop, 2024
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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 Stars

IJCAI DSO Workshop, 2024
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PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting

Zeying Gong, Yujin Tang, Junwei Liang

Paper Code Stars

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

  • 2024.06 - now, Remote Visiting Student @ UC Merced and Onsite Visiting Student @ Shanghai Jiao Tong University
  • 2023.02 - 2024.05, Research Assistant, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou
  • 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 Link

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

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

[Strongly Recommend] Successful Ph.D Journey: Arts, Methods and Reward System [Link](https://zhuanlan.zhihu.com/p/960781637)

🔗 Resources for CV Researchers

Ming-Hsuan Yang-UCM: How to Get Your CVPR Paper Rejected? Link

Chao Ma-SJTU: (Collection) Research and Writing Tips for Computer Vision Researchers Link

Sida Peng-ZJU: The Process of Finishing a Research Project Link

Bolei Zhou-UCLA: How to Make Posters for Top Conference Paper Link

Yana Hasson-Inria: Useful Computer Vision PhD Resources Link

Bill Freeman-MIT: How to Write Papers Link Advice for Graduate Student Link

Thanks a lot to these generous people for sharing their valuable research experience!

‘She is a first-generation college student born in a small city in western China. She constantly overcomes environmental resistance, builds a strong spiritual core, and pushes herself to grow and progress with self-drive and self-discipline. Thinking before practice, iterating quickly in action, she aims to make beneficial changes to the world with artificial intelligence and promote social equity.’