Publications: 'The Ranking Blind Spot: Decision Hijacking in LLM-based Text Ranking' and several other papers in areas such as natural language processing, document understanding, and fine-grained LLM agent optimization at scale. Conferences and Journals: EMNLP 2025, ICLR 2025, NeurIPS 2024 Workshop SFLLM, The Astrophysical Journal, etc.
Research Experience
Before joining OSU, worked as a Research Scientist at a technology startup, carrying out AI solutions using deep learning and computer vision; Research areas include object detection, medical image analysis, representation learning, and AI for Science.
Education
Received B.Eng. in Data Science from Zhuhai College of Jilin University in 2023, with a GPA of 3.84/4.0, ranking first in the department.
Background
Research Interests: Robust planning and decision-making of large language models (LLMs), developing Agentic AI through reinforcement learning and multi-agent systems; Professional Field: Computer Science; Background: Currently a third-year Ph.D. student in Computer Science at Oregon State University, advised by Huazheng Wang.