CV
Education
- Computer Science and Technology, M.S. in Beijing, Beijing Institute of Technology, 2018-2021
- Internet of Things Engineering, B.S. in Qingdao, Qingdao University, 2014-2018
Work experience
- 2024 ~ ?: Engineer
- Institute of Computing Technology, Chinese Academy of Science
- Duties includes: Computaional Evaluation
- 2021~2024: PhD (Passed Qualifying Examination)
- Hong Kong Baptist University
- Duties included: medical data, hetergeneous data
- Supervisor: Yiuming CHEUNG (A member of European Academy of Sciences and Arts, IEEE Fellow, AAAS Fellow, RGC Senior Research Fellow, Changjiang Scholars)
Skills
- Causality
- Identify treatment effect on DAG with hidden common causes
- When and why to use causal inference
- Game theory
- Discreate math
Publications
Talks
Tabular Data Prediction with Heterogeneous Features
Report at DLB, Hong Kong Baptist University, Hong Kong
Talk at Swarma Club to Causal Evaluation
Presentation at Tencent meeting, Hong Kong
Presentation at Classical Contributions to Modern Statistical Thinking (Donald Rubin, Per Johansson, Yannis Yatracos)
Presentation at Zoom meeting ID: 849 963 1368, Hong Kong
Adaptive Causal Dimension Reduction
Report at DLB, Hong Kong Baptist University, Hong Kong
Presentation of three causal inference paper
Presentation at Course, Hong Kong
Introduction of Causaility for Undergraduate Students
Presentation at 403, Li Jiao, Liang xiang, Beijing Institute of Technology, Beijing