Experience

Services

• Reviewer for KDD 2025 Research Track.

Teaching

• Teaching Assistant of Data Structures and Algorithms A by Prof. Leye Wang, Peking University, Fall 2024.
• Teaching Assistant of Data Structures and Algorithms A by Prof. Leye Wang, Peking University, Fall 2023.

Internship

• Modeling Group Intern, Beijing HealSci Technology (北京和兴创联健康科技有限公司), 2023.10 ~ 2024.06.
  Task: I utilize hospital patient surgical data to conduct feature engineering and modeling for predicting postoperative blood loss and transfusion volume.
  Skill: Feature Engineering, Data Cleaning, Data Mining

Talks

• Presentation at ICWS 2024 on my paper, Efficient User Sequence Learning for Online Services via Compressed Graph Neural Networks, in Shenzhen, China, on July 11, 2024. (Slides, Video)
• Reports on academic sharing sessions at the Modeling Group of HealSci Technology during my internship: Compressed and Sparse Sensing (Slides); GNN Deployment with High Efficiency (Slides); Graph Contrastive Learning (Slides); Federated Learning on Graph Neural Networks (Slides).

Awards

• 2023, Outstanding Graduate of Shanghai (上海市优秀毕业生)
• 2023, Outstanding Undergraduate Thesis of SUFE (上海财经大学优秀本科生毕业论文)
• 2022, First Prize of Chinese Computer Design Competition (中国大学生计算机设计大赛一等奖)
• 2021, National Scholarship (国家奖学金)
• 2020, National Scholarship (国家奖学金)

Eduation

• 2023.09 ~ Now, PhD Student, School of Computer Science, Peking University (PKU)
• 2019.09 ~ 2023.06, Undergraduate, School of Information Management and Engineering, Shanghai University of Finance and Economics (SUFE)