Feng He (何峰)

hefengcs [at] mail.ustc [dot] edu [dot] cn

I received my M.S. from the University of Science and Technology of China in June 2026. My research focuses on reliable reasoning and agentic behavior in large language models, particularly how models make decisions under unreliable premises, feedback, and verification signals. I am especially interested in reliable multi-step and multi-agent systems.

I have collaborated with Prof. Jieyu Zhao, Prof. Dongfang Liu, and Prof. Ruixiang Tang on topics spanning multi-agent systems, LLM reasoning, and trustworthy AI. Previously, I worked on scientific foundation models and multimodal representation learning at USTC.

I am applying for Fall 2027 PhD programs in reliable agentic AI and LLM reasoning.

Google Scholar  /  GitHub  /  LinkedIn  /  CV

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Research Highlights

Reliable Reasoning and Agentic AI

I study reliable reasoning and agentic behavior in LLMs, including test-time verification, adaptive reasoning allocation, and multi-agent systems.
Verification Trap: Understanding Test-Time Selection Failures under False Premises in Code Generation
Feng He, Hejia Wang, Linghao Meng, Ming Gao, Qiankun Li
EMNLP 2026, Oral Presentation
HIVE: Understanding Post-Hallucination Reasoning in Vision Language Models
Feng He, Zhenting Wang, Dongfang Liu, Ruixiang Tang, Qiankun Li
ECCV 2026  /  pdf  /  code

Scientific and Multimodal AI
From Pixels to Views: Learning Angular-Aware and Physics-Consistent Representations for Light Field Microscopy
Feng He, Guodong Tan, Qiankun Li, Jun Yu, Quan Wen
NeurIPS 2025  /  pdf  /  code
BeautyDiffusion: Generative Latent Decomposition for Makeup Transfer via Diffusion Models
Feng He, Hanlin Li, Xin Ning, Qiankun Li
Information Fusion  /  paper

Full publication list available on Google Scholar.
Awards

China National Scholarship (Top 0.1% nationwide), 2026
Academic Service

Conference Reviewer: NeurIPS 2026, ICLR 2026

Journal Reviewer: IEEE Transactions on Multimedia, Neural Networks, ACM TOMM, Knowledge-Based Systems, The Visual Computer, and others
Education

University of Science and Technology of China (USTC)
M.S. in Neuroscience, June 2026

Yangtze University
B.E. in Computer Science, June 2023

Last updated: October 2026  |  Template credit