Research Output

Publications

A partial list of publications by researchers, graduates, and undergraduate collaborators of SJTU-ReThinkLab.

Partial List of Publications (by both graduates and undergraduates)
Morden Deep Learning (New Archtecture, Pretraining, Post-training, Prompt etc.):
Students (alumni): Hao Xiong, Huaijin Wu, Yebin Yang, Zhanpeng Zhou, Yitin Chen, Zhuo Xia, et al.
Autonomous Driving and Robotics:
Students (alumni): Xiaosong Jia, Zhenjie Yang, Penghao Wu, Shengchao Hu, Xiaolei Chen, Zhe Ren et al.
Machine Learning for Graph and Combinatorial Optimization:
Students (alumni): Runzhong Wang, Chang Liu, Yang Li, Haoyu Geng, Han Lu, Yixuan He (Oxford), et al.
AI for Science, Engineering and Arts (EDA, Crypto, Drug, PDE, Neuro, Arts):
Students (alumni): {EDA: Ruoyu Cheng, Yang Li, Xingbo Du, Ruizhe Zhong, Peiyu Wang, Jianyong Yuan et al.} & {Drug/Chem/Neuro: Nianzu Yang, Kaipeng Zeng, Huaijin Wu et al.} & {PDE: Mingquan Feng, Zelin Zhao et al.}
Quantum Machine Learning (especially for Graphs):
Students (alumni): Ge Yan, Xinyu Ye, Yehui Tang, Hao Xiong, Wenjie Wu, Xudong Lu et al.
Graph Learning (e.g. Backbones, especially for scalable and robust learning):
Students (alumni): Qitian Wu, Chenxiao Yang, Chao Chen, Haoyu Geng, Tianqi Zhang et al.
Discrete Time Space (Time Series) Learning:
Students (alumni): Yunhao Zhang, Longyuan Li et al.
Continuous Time Space (Temporal Point Process) Learning:
Students (alumni): Yunhao Zhang, Mingquan Feng, Chao Chen, Shuai Xiao, Weichang Wu, Fangyu Ding et al.
Automatic Neural Architecture Search and Optimization:
Students (alumni): Xiaoxing Wang, Zhexi Zhang et al.
Classic Algorithms for Graph and Combinatorial Optimization:
Students (alumni): Tianshu Yu (ASU), Zetian Jiang, Tianzhe Wang et al.
Visual (Rotating) Object Detection:
Students (alumni): Xue Yang et al.
Efficient, Robust and Trustable AI:
Students (alumni): Ruoxi Chen, Haoxuan Wang, Yiting Chen, Ning Liao, Yucheng Luo, Huaqing Shao et al.
Recommender Systems and Collaborative Filtering:
Students (alumni): Chao Chen, Qitian Wu, et al.
Machine Learning Basics and Miscellaneous:
Multi-agent System and Distributed Optimization:
Students (alumni): Wenhao Li (ECNU) et al.
Generative Models, Optimal Transport and Self-supervised Learning:
Students (alumni): Yang Li, Shaofeng Zhang, Liangliang Shi and Xiaojiang Yang et al.
Network Embedding:
Students (alumni): Hao Xiong and Xinbo Du et al.