I am a Ph.D. Student in Computer Science at Virginia Tech (VT) starting in Fall 2023, advised by Prof. Chang-Tien Lu. Prior to VT, I obtained my bachelor's degree from Beijing Jiaotong University (BJTU) and master's degree from University of Chinese Academy of Sciences(UCAS). I spent one year working at Tencent as a machine learning engineer.

My research interests are NLP, LLMs, especially focusing on LLM trustworthiness and complex reasoning. It involves tool usage, uncertainty estimation, and LLM post-training.

Beyond my academic work, I enjoy photography, especially nature and birds.

🔥 News

• Dec 2025: Our Survey on Uncertainty Estimation has been accepted to Information Fusion.
• Nov 2025: One paper about LLM’s numerical reasoning with local data protection is accepted to AAAI 2026 (first author).
• May 2024: Start an Applied Scientist summer internship at Amazon in California.
• May 2024: One paper about LLM’s fairness and uncertainty is accepted to ACL 2024 main conference (first author).
• Apr 2024: One paper about fair financial analysis is accepted to NAACL 2024 industry track.
• Jan 2024: One paper about LLM cascades for cost-efficient reasoning is accepted to ICLR 2024.
• Dec 2023: One paper about compositional generalization in LLMs is accepted to ICASSP 2024 (first author).

📝 Selected Publications

• Min Zhang, Yuzhe Lu, Yun Zhou, Panpan Xu, Lin Lee Cheong, Chang-Tien Lu, Haozhu Wang, Collaborative LLM Numerical Reasoning with Local Data Protection , AAAI 2026
• Min Zhang, Jianfeng He, Taoran Ji, Chang-Tien Lu, Don’t Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection , ACL 2024
• Murong Yue, Jie Zhao, Min Zhang, Liang Du, Ziyu Yao, Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning , ICLR 2024
• Min Zhang, Jianfeng He, Shuo Lei, Murong Yue, Linhan Wang, Chang-Tien Lu, Can LLM find the green circle? Investigation and Human-guided tool manipulation for compositional generalization , ICASSP 2024

🌐 Services

• Volunteer: Serve as volunteer at ICDM 2025
• Reviewer: AAAI 2026, ICDM 2025, CoLM 2025, ICML 2025, Neurips 2024

🎖 Honors and Awards

• 2021 Tencent Good+ Employee

• 2019, 2020 Graduate Student Scholarship in UCAS

• 2018 Excellent Graduates in Beijing

• 2017 China National Scholarship (Undergraduate) (Top 1%)

💻 Work Experience

• 2025.05 - 2025.08, Amazon, CA, US. -Applied Scientist Internship
• 2024.05 - 2024.08, Amazon, CA, US. -Applied Scientist Internship
• 2021.07 - 2022.07, Tencent, China. -Machine Learning Engineer
• 2020.07 - 2020.09, Alibaba Group, China. -MLE Internship