About Me
I am an undergraduate student majoring in Artificial Intelligence at Dalian University of Technology, where I study in the School of Future Technology. My recent work is centered on AI for science, with a particular interest in protein optimization, molecular representation learning, and agent-driven research systems.
I also write on my personal blog and maintain notes in my personal wiki.
The publications page shows details of works I evolved, and the projects page shows my hobby projects and ongoing researches.
Research Interests
- Agent systems, AI scientist and agentic RL
- AI for biology, especially protein optimization and embedding
- Molecular representation learning for LLMs and graph neural networks
News
- Mar. 2026 Our paper Language-guided expertise evolution for protein optimization was accepted as a poster at the ICLR 2026 Workshop on AI with Recursive Self-Improvement.
- Jan. 2026 I was invited by MiraclePlus (奇绩创坛) for an interview on protein optimization and ranked in the top 10%.
- Jun. 2025 I received First Prize in the Dalian University of Technology Information Security Competition.
- Jun. 2025 Our paper Motif-driven molecular graph representation learning was accepted by Expert Systems With Applications.
Current Work
- Protein optimization with language-guided expertise evolution
- Protein hydration, crystallization-condition extraction, and hydration-guided protein design
- Molecular representation learning for LLMs and graph neural networks
For paper-level details, please see the publications page or my Google Scholar profile.
Selected Honors
- National Scholarship, 2024-2025
- Academic Excellence Scholarship, 2023-2024 and 2024-2025
