My interest mainly lies in machine learning algorithm and its applications.
I'm both interested in graph representation learning and reinforcement learning. I'm currently working on incorporating geometric information into graph neural network and its applications such as drug discovery.
Research Interests
Education
Sept.2018-Present Shanghai Jiao Tong University
Pursuing Bachelor’s Degree of Computer Science, advised by Prof. Yong Yu.
Research Experience
Mar.2021-Present Mila
- Undergraduate Researcher, Advised By Prof. Jian Tang.
- Research Topic: Geometric Deep Learning, Equivariant Networks, Reinforcement Learning
- Focus on machine learning algorithms related to drug discovery. Investigate both geometric deep learning and reinforcement learning method and their applications in real situation of drug discovery such as protein-ligand docking and drug virtual screening.
Aug.2020-Present Apex Data & Knowledge Management Lab, SJTU
- Undergraduate Researcher, Advised By Prof. Weinan Zhang.
- Research Topic: Machine Learning, Imitation Learning, Reinforcement Learning
- Focus on algorithms such as Generative Adversarial Imitation Learning(GAIL) and Behavior Clone(BC) for imitation learning task. Investigate their variants and their possible applications in real world.
Projects & Publications
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Participated in building a powerful platform designed for drug discovery, covering techniques from graph machine learning (graph neural networks, geometric deep learning & knowledge graphs), deep generative models, deep sequence model to reinforcement learning. See project here. |
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Proposed an auto curriculum version of T-setp Occupancy Measure matching algorithm, AutoGAIL, that chooses the appropriate sequence length for sample efficiency. See paper draft here. |
Teaching Experience
| Teaching Assistant of CS158: Data Structures and Algorithms(Honors Class) | 2020 |
| Teaching Assistant of MS125: Principle and Practice of Computer Algorithms(Honors Class) | 2020 |
| Teaching Assistant of CS420: Machine Learning | 2021 |
Honor & Rewards
| Zhiyuan Honorary Scholarship, (Top 5% in SJTU) | 2018-2021 |
| Excellent School-level Scholarship (Top 2% in SJTU) | 2018-2021 |
| Meritorious Winner in Mathematical Contest in Modeling (Top 8%) | 2020 |
| The First Prize in Chinese Physics Olympiad (Top 1%) | 2017 |
Misc.
I'm a true lover of steel-string acoustic guitar. I'm also good at Djembe and Cajon (a kind of drum). Currently I'm learning playing Pen Beat.Besides machine learning, I'm also interested in physics and have won several awards in Chinese Physics Olympiad.