About Me
I’m a PhD candidate at Purdue University under the supervision of Prof. Ananth Grama. I’m fortunate to also work with Prof. Zhangyang Wang and Prof. Junyuan Hong. Prior to my PhD, I completed my undergraduate studies in Electronic Information Engineering with a minor in Artificial Intelligence at the University of Science and Technology of China, where I fostered my curiosity and passion for research.
Research interests
- LLM post-training, particularly synthetic data generation, mechanism understanding and model self-improvement.
- Self-evolving agent.
- LLM training and inference efficiency.
NEWS
- Sep, 2026. One Paper accepted to NIPS 2026.
- Jun, 2026. I’ll be joining Microsoft Research this summer as a Research Intern working on code agent.
- Feb, 2026. I started a part-time Research Internship at Microsoft Research, working on self-evolving agents.
- Jan, 2026. One Paper accepted to ICLR 2026.
- Nov, 2025. Our recent paper, LLMs Can Get “Brain Rot”!, has received widespread international media coverage, including features in Nature, Wired, Forbes, Fortune, The Chosun Daily (조선일보), India Today, Synced (机器之心), and others.
- Aug, 2025. One paper accepted to ACM-BCB 2025.
- July, 2025. Two papers accepted to COLM 2025.
- May, 2025. One paper accepted to ICML 2025.
- May, 2024. I’m thrilled to start my internship at Texas Instrument!
- May, 2024. One paper accepted to ICML 2024 (spotlight 3.5%) !
- Apr, 2023. One paper accepted to ICML 2023.