Heng Zhou
Heng Zhou is a Ph.D. student at the University of Science and Technology of China (USTC) and a research intern at the Shanghai Artificial Intelligence Laboratory, advised by Prof. Lei Bai. His research focuses on LLM agents, agentic reinforcement learning, and embodied AI, with notable publications including work on multi-agent reasoning systems and a survey of agentic reinforcement learning for LLMs. He has co-authored papers accepted at NeurIPS 2025 and EMNLP 2025, the latter receiving an Oral presentation and SAC Highlight Award.
“Heng Zhou: Core contributor across pretraining, offline RL, post-training (simulation), and data processing—appears in nearly every workstream”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.