About
I am a second-year Ph.D. student at UVA, advised by Prof. Jundong Li. Previously, I earned my master’s degree at IIP Lab, Wuhan University, advised by Prof. Zhenzhong Chen. Currently, I work on causal inference, large language models, probabilistic graphical models, and their combination with DNNs to address key problems in data mining, with the emphasis on debiasing, reducing uncertainty, promoting fairness, and eliminating the influence of unobserved confounders.
News
- 07/2024, one paper has been accepted by CIKM 2024!.
- 06/2024, one tutorial/survey paper has been accepted by KDD 2024!
- 05/2024, one co-authored paper has been accepted by KDD 2024!
- 05/2024, one co-authored paper has been accepted by ACL 2024 (Findings)
- 01/2024, one paper has been accepted by WWW 2024!
- 05/2023, one paper has been accepted by KDD 2023!
- 01/2023, Release a survey on causal inference in recommender system! …
Industry Experiences
- June 2023 – Sept. 2023, Research Intern, Netflix. Mentor: Harald Steck, Dawen Liang.
- June 2022 – Sept. 2022, Research Intern, LinkedIn. Mentor: Liang Wu, and Liangjie Hong.