- Paper “Causally Fair Node Classification on Non-IID Graph Data” received the Best Paper Award at the 4th KDD Workshop on Ethical AI
- Paper “Long-term Fair Decision Making Through Deep Generative Models” accepted by AAAI 2024
- Paper “Striking a Balance in Fairness for Dynamic Systems Through Reinforcement Learning” accepted by IEEE Big Data 2023 as a regular paper
- Paper “Long-term Fair Decision Making Through Deep Generative Models” accepted at the 2nd SIGKDD Workshop on Ethical Artificial Intelligence: Methods and Applications
Research Experience
- Senior Data Scientist at Walmart Inc.
- Previously, conducted doctoral research at the University of Arkansas
Education
- Ph.D. from the EECS department at the University of Arkansas, advised by Prof. Lu Zhang
- M.S. and B.ENG. from the College of Computer at Sichuan University, China
Background
- Currently a Senior Data Scientist at Walmart Inc.
- Research interests include retrieval augmented generation (RAG) for LLMs, fair machine learning, and causal inference
- During his PhD, his research primarily focused on achieving long-term fairness in sequential decision-making