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.
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- 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.
Experience
Autopilot AI Engineer Intern
Mid-training, SFT, and RL for the FSD model
Research Scientist Intern
Agentic Text2SQL systems
Machine Learning Scientist Intern
Generative recommender system
Research Intern
Vector databases
Data Scientist Intern
Time series anomaly detection
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.