Education

I’m an undergraduate student (expected to graduate in 2023) from Department of Computer Science and Engineering, Shanghai Jiao Tong University.

For my academic performance:

• GPA: 94.10/100 (or 4.12/4.3), Rank 1/120
• Achieved A+ in more than 30 Courses.

Click to expand

• (100/100) CS241: Principles and Practice of Problem Solving (Fall 2020) [Project+Report]
• (100/100) CS356: Operating System Projects (Spring 2021) [Project]
• (100/100) CS145: Computer Architecture Experiments (Spring 2021)
• (100/100) PH070/PH071: College Physics(Honor) (Spring 2020/Fall 2020)
• (99/100) CS420: Machine Learning (Spring 2022) [Project]
• (98/100) CS158: Data Structure(Honor) (Spring 2020)
• (97/100) CS307: Operating System (Spring 2021)
• (96/100) CS359: Computer Architecture (Spring 2021)
• (96/100) CS339: Computer Networks (Fall 2021) [Project]
• (95/100) SE2321: Web Application Development (Spring 2021) [Project]
• (95/100) MA267: Mathematical Analysis(Honor) (Fall 2019)
• (95/100) MA271: Linear Algebra(Honor) (Fall 2019)
• ... and 18 more

Research Experience

Previously, I did research at Thinklab under the supervision of Prof. Junchi Yan, where I got an introduction to research. Currently, I’m an incoming PhD at MARS Lab in Tsinghua University, supervised by Prof. Hang Zhao.

For my research interests, I am broadly interested in various research topics in machine learning, including representation learning, reinforcement learning, trustworthy AI, etc. In particular, my current research focus on Autonomous Driving, developing RL/IL frameworks for eligant motion planning. For some of my previous experience:

• ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs

  Han Lu*, Zenan Li*, Runzhong Wang, Qibing Ren, Xijun Li, Mingxuan Yuan, Jia Zeng, Xiaokang Yang, Junchi Yan (* denotes equal contribution)

  International Conference on Learning Representations (ICLR 2023)

• Towards Debiased Learning and Out-of-Distribution Detection for Graph Data

  Zenan Li, Qitian Wu, Fan Nie, Junchi Yan

  Advances in Neural Information Processing Systems (NeurIPS 2022)

• Towards Scalable (All-Pair) Message Passing for Node Classification beyond Explicit Topology

  Qitian Wu, Zenan Li*, Wentao Zhao*, David Wipf, Junchi Yan (* denotes equal contribution)

  Advances in Neural Information Processing Systems (NeurIPS 2022 Spotlight)

• On Collective Robustness of Bagging Against Data Poisoning

  Ruoxin Chen, Zenan Li, Jie Li, Chentao Wu, Junchi Yan

  International Conference on Machine Learning (ICML 2022)

Selected Awards

• Rongchang Scholarship (2022)
• Sensetime Fellowship (only 30 from national-wide, 2021)
• Lixin Tang Scholarship (2020)
• Huawei Fellowship (2021)
• Zhiyuan Honor Scholarship (2021)
• The first prize in the Chinese Mathematics Competitions (Rank 5 in Shanghai, 2020)

Skills

Languages: Python, C/C++, JavaScript, Java, Rust.

Technical Skills:

• React (frontend), SpringBoot (backend), Qt (software), MySQL (database).
• PyTorch (proficient), TensorFlow (able to read).

Academic Service

I served as a reviewer in ICML’22 and LoG’22.