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M.Sc. in Data Science (Statistics)

• School of Artificial Intelligence and Data Science
• GPA: 3.96/4.30 (2/31)
• Advised by Zilei Wang

B.Sc. in Applied Mathematics

• School of Mathematics
• GPA: 4.47/5.00 (2/185)
• Outstanding Graduate

International Exchange Student

• MATH1005 Discrete Mathematical Models - High Distinction
• MATH2222 Introduction to Mathematical Thinking: Problem-Solving and Proofs - High Distinction
• MATH3511 Scientific Computing - High Distinction

Research Intern

• Research on enhancing the image captioning capabilities of MLLMs through reinforcement learning strategies.
• Developed a compact MLLM using supervised fine-tuning and reinforcement learning to generate highly precise, context-aware, and structured image captions, advancing real-world visual understanding.
• Proposed a co-evolutionary adversarial framework for MLLM image captioning that jointly optimizes captioning and question-generation models in a self-reinforcing loop, improving descriptive fidelity and completeness.

Research Intern

• Research on enhancing reasoning capabilities of video foundation models through post-training strategies.
• Proposed a tool-augmented MLLM reasoning framework that enables introspective reasoning across both visual and textual modalities, significantly improving long-form video understanding.
• Developed Video-OPD, an efficient post-training framework for temporal video grounding that converts sparse rewards into dense step-wise signals, accelerating convergence while outperforming existing GRPO methods.

• National Scholarship (Top 1%), awarded at China University of Mining and Technology
• First Prize, National Undergraduate Mathematics Competition

• National Scholarship (Top 1%), awarded at China University of Mining and Technology

• Silver Medalist (Top 4.9%) — Cassava Leaf Disease Classification, Kaggle Competition
• Silver Medalist (Top 3.6%) - Jane Street Market Prediction, Kaggle Competition

• Excellent Graduate, China University of Mining and Technology