I am a Ph.D. student in Data Science at University of California San Diego, advised by Prof. Babak Salimi. My research develops data-centric approaches for trustworthy machine learning, with a focus on robustness, fairness, explainability, and data quality.
Before UC San Diego, I received my B.Eng. in Information Engineering from Xi’an Jiaotong University and M.S. in Computer Science from University of California San Diego.
Selected Publications
All publicationsRecent News
- Serving on the PC of VLDB 2027.
- Our recent work Kairos got accepted at NeurIPS 2025.
- Serving on the PC of ICLR 2026.
- Our recent work Savage got accepted at VLDB 2026.
- Started interning at TikTok working on generative recommender systems.
- Our demo paper for Zorro got accepted at SIGMOD 2025.
Expand
- Serving on the PC of FAccT 2025.
- Passed my preliminary exam.
- Serving on the PC of ICLR 2025.
- Our recent work Zorro got accepted at NeurIPS 2024.
- Started interning at Microsoft Research (Data Systems Group) working on vector search.
- Our vision paper regarding data biases was published at IEEE DE Bulletin.
- Serving on the PC of FAccT 2024.
- Our recent work Crab got accepted at VLDB 2023.
- Gave a talk about Crab at UCSD DB Seminar.
- Serving on the PC of FAccT 2023.
- Transferred to the Data Science Ph.D. program at UCSD.
- Received the SIGMOD 2022 Student Travel Award.
Education
- Ph.D. in Data Science, University of California San Diego, 2023 -
- M.S. in Computer Science, University of California San Diego, 2021 - 2022
- B.E. in Information Engineering, Xi'an Jiaotong University, 2017 - 2021
Service
Program committee / reviewer: NeurIPS, ICLR, VLDB, FAccT, ECIR.