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Resume (English only)
Academic Achievements
- Publications:
- - GATE: Graph-based Adaptive Tool Evolution Across Diverse Tasks
- - Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning
- - DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models
- - Competition-level Problems Are Effective LLM Evaluators
- - S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Models
- - S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering
- - ADFA: Attention-Augmented Differentiable Top-k Feature Adaptation for Unsupervised Medical Anomaly Detection
- - Spatial and Planar Consistency for Semi-Supervised Volumetric Medical Image Segmentation
- Awards:
- - UCSD Jacobs School of Engineering Fellowship, 2025
- - USTB Principal Medal (10 out of all undergraduate graduates, highest honor of undergraduate student), 2023
- - Beijing Outstanding Graduate Awards (top 1% in Academics), 2023
- - National Scholarship (Top 0.2% nationwide), 2022
- - National Scholarship (Top 0.2% nationwide), 2021
- - National Scholarship (Top 0.2% nationwide), 2020
Research Experience
- Worked as a research intern at TikTok, collaborating with Dr. Qian Liu. Previously spent time at Microsoft Research Asia, working with Dr. Xiao Liu, Dr. Yeyun Gong, and Dr. Weizhu Chen.
Education
- PhD student at UC San Diego, advised by Prof. Jingbo Shang
Background
- Research interests include evaluating and enhancing the reasoning capabilities of large language models, particularly in code, math, and agent tasks; exploring data-centric methods to improve learning efficiency and adaptability.
Co-authors: 0 (list not available)