Experience

Services

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.

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

Oral 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)
Poster presentation at TheWebConf 2024 on my paper, Graph Contrastive Learning with Cohesive Subgraph Awareness, in Singapore, on May 15, 2024. (Poster)
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).

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)

2024, Merit Student Pacesetter, PKU (北京大学三好学生标兵)
2024, National Scholarship, Chinese Ministry of Education (国家奖学金)
2023, Outstanding Graduate, Shanghai Municipal Commission of Education (上海市优秀毕业生)
2023, Outstanding Undergraduate Thesis, 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，293/30000+)
2021, National Scholarship, Chinese Ministry of Education (国家奖学金)
2020, National Scholarship, Chinese Ministry of Education (国家奖学金)