Feng He (何峰)

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

I am currently pursuing a Master's degree at the University of Science and Technology of China (USTC). My research interests include LLM-based AI agents (planning, tool use, multi-step reasoning), scientific foundation models, and multimodal representations.

Prior to USTC, I received my B.E. from the School of Computer Science at Yangtze University in June 2023.

Google Scholar / GitHub / LinkedIn / CV

Publications

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

Unleashing Foundation Vision Models: Adaptive Transfer for Diverse Data-Limited Scientific Domains
Qiankun Li, Feng He, Huabao Chen, Xin Ning, Kun Wang, Zengfu Wang†
NeurIPS 2025 / pdf / code

High-Fidelity Generation of Lane Scenes under Adverse Weather and Lighting Conditions without Re-annotation
Daichao Zhao, Qiupu Chen, Feng He, Xin Ning, Qiankun Li†
CVPR 2026 / pdf / code

Note: * indicates the corresponding author. Full list on Google Scholar.

Awards

China National Scholarship (Top 0.1% nationwide), 2026

Academic Service

Conference Reviewer: ICLR 2026–

Journal Reviewer: ACM TOMM, Knowledge-Based Systems, Concurrency and Computation, Connection Science, Displays, IET Computer Vision, IET Image Processing, The Visual Computer

Education

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

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

Last updated: April 2026 | Template credit