Group
Our group studies machine learning from theoretical, empirical, and applied perspectives. We work on optimization, foundation models, graph learning, and reliable AI systems.
PhD students
- 2025–Dechen Zhang IDS
- 2025–Xuan Tang CS
- 2025–Yufei Zhao CS
- 2025–Bingqing Jiang CS
- 2025–Xu Wang CS
- 2024–Peifeng Gao CS
- 2024–Tianle Li IDS
- 2023–Yujin Han CS
- 2023–Xingwu Chen CS
- 2023–Yi Zhang IDS
- 2021–Junwei Su CS · co-advised with Prof. Chuan Wu
Research interns
- 2024Zhi Wang USTC → UCSD
- 2024Chengxing Xie Xidian University → Tsinghua University
- 2024Tunyu Zhang USTC → Rutgers University
- 2024Lei Zhao USTC → UPenn
- 2024Hanyu Wang USTC → Penn State University
- 2024Shuning Shang Zhejiang University → Princeton University
- 2023Miao Lu USTC → Stanford University
- 2023Beining Wu USTC → University of Chicago