Welcome! I am currently a first-year Ph.D. student of computer science at University of Pittsburgh, advised by Prof. Junyu Liu. Before that, I received my B.E. from Tianjin University, and my M.S. degree from Georgia Institute of Technology. I will join Fujitsu Research of America as a research intern this summer.

I’m interested in Large Language Model Post-training, Large Language Model Evaluation, and AI for Quantum.

I am actively seeking LLM or Quantum internship positions in the US for Summer’27.
Feel free to reach out for questions and collaborations!

Selected Publications

Scaling and Renormalization in Neural Networks: An Effective Renormalization-Group Description of Grokking
Min Chen, Junqi Wang, Zeguan Wu, Wenhao Huang, Junyu Liu
Preprint
📄 PDF

Infeasibility Aware Large Language Models for Combinatorial Optimization
Yakun Wang, Min Chen, Zeguan Wu, Junyu Liu, Sitao Zhang, Zhenwen Shao
arXiv preprint
📄 Arxiv

Artificial Entanglement in the Fine-Tuning of Large Language Models
Min Chen, Zihan Wang, Canyu Chen, Zeguan Wu, Manling Li, Junyu Liu
arXiv preprint
📄 Arxiv

Information Bottleneck-guided MLPs for Robust Spatial-Temporal Forecasting
Min Chen, Guansong Pang, Wenjun Wang, Cheng Yan
ICML 2025
📄 Openreview | 💻 Code

Catapult Dynamics and Phase Transitions in Quadratic Nets
David Meltzer, Min Chen, Junyu Liu
J. Stat. Mech.: Theory Exp. (JSTAT)
📄 Arxiv | 📄 IOPScience

Symbolic analysis of Grover search algorithm via Chain-of-Thought reasoning and quantum-native tokenization
Min Chen, Jinglei Cheng, Pingzhi Li, Haoran Wang, Tianlong Chen, Junyu Liu
npj Quantum Information
📄 npj QI | 📄 Arxiv | 💻 Code

An Analytic Theory of Quantum Imaginary Time Evolution
Min Chen, Bingzhi Zhang, Quntao Zhuang, Junyu Liu
arXiv preprint
📄 Arxiv

Awards & Grants

• Tinker Research Grant, 2025, $5,000 USD, Thinking Machines Lab
  Competitive research grant supporting independent research with compute credits and priority technical support.

Services

• Reviewer: KDD 2024, SLLM@ICLR 2025, npj Quantum Information