Langzhou He

PhD student, University of Illinois at Chicago

Joined

September 2023

Names

Langzhou He (Preferred)

Emails

****@dartmouth.edu (Confirmed)

****@uic.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Homepage

DBLP

Semantic Scholar

Career & Education History

PhD student

University of Illinois at Chicago (uic.edu)

2024 – 2028

Intern

Department of Computer Science, Dartmouth College (cs.dartmouth.edu)

2023 – 2024

Undergrad student

Southwest University (swu.edu.cn)

2020 – 2024

Advisors, Relations & Conflicts

PhD Advisor

Philip S. Yu

2024 – Present

Coauthor

Qitian Wu

2024 – Present

Expertise

Machine Learning

Present

Graph Representation Learning

Present

Generative Models

Present

Agentic Reinforcement Learning

Present

Publications

Actor-Curator: Co-adaptive curricula via policy-improvement bandits for post-training
Zhengyao Gu, Jonathan Light, Raul Astudillo, Ziyu Ye, Langzhou He, Wei Cheng, Santiago Paternain, Philip S. Yu, Yisong Yue
- ICLR 2026 Workshop LLM Reasoning Oral
- Readers: Everyone
Actor-Curator: A Scalable RL Post-training Framework with Co-adaptive Curricula
Zhengyao Gu, Jonathan Light, Raul Astudillo, Ziyu Ye, Langzhou He, Wei Cheng, Santiago Paternain, Philip S. Yu, Yisong Yue
- LLA 2026 Poster
- Readers: Everyone
Actor-Curator: Scalable Policy-driven Curriculum Learning for RL Post-Training
Zhengyao Gu, Jonathan Light, Raul Astudillo, Ziyu Ye, Langzhou He, Wei Cheng, Santiago Paternain, Philip S. Yu, Yisong Yue
- ICLR 2026 Workshop RSI Poster
- Readers: Everyone
Actor-curator: A Principled Approach to Online Data Selection for RL Post-training
Zhengyao Gu, Jonathan Light, Raul Astudillo, Ziyu Ye, Langzhou He, Wei Cheng, Santiago Paternain, Philip S. Yu, Yisong Yue
- ICLR 2026 Workshop DATA-FM
- Readers: Everyone
Actor-Curator: Scalable Adaptive Curriculum Learning for LLM Post-Training
Zhengyao Gu, Jonathan Light, Raul Astudillo, Ziyu Ye, Langzhou He, Wei Cheng, Santiago Paternain, Philip S. Yu, Yisong Yue
- SPOT
- Readers: Everyone
DeepResearchGuard: Deep Research with Open Domain Evaluation and Multi-Stage Guardrails for Safety
Wei-Chieh Huang, Henry Peng Zou, Yaozu Wu, Weizhi Zhang, Yankai Chen, Dongyuan Li, Yangning Li, Angelo Zangari, Jizhou Guo, Liancheng Fang, Langzhou He, Chunyu Miao, Renhe Jiang, Philip S. Yu
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Can Molecular Foundation Models Know What They Don't Know? A Simple Remedy with Preference Optimization
Langzhou He, Junyou Zhu, Fangxin Wang, Junhua Liu, Haoyan Xu, Yue Zhao, Philip S. Yu, Qitian Wu
- Submitted to ICLR 2026
- Readers: Everyone
RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback
Chunyu Miao, Henry Peng Zou, Yangning Li, Yankai Chen, Yibo Wang, Fangxin Wang, Yifan Li, Wooseong Yang, Bowei He, Xinni Zhang, Dianzhi Yu, Hanchen Yang, Hoang H Nguyen, Yue Zhou, Jie Yang, Jizhou Guo, Wenzhe Fan, Chin-Yuan Yeh, Panpan Meng, Liancheng Fang et al. (9 additional authors not shown)
- ICLR 2026 Poster
- Readers: Everyone
LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey
Henry Peng Zou, Wei-Chieh Huang, Yaozu Wu, Yankai Chen, Chunyu Miao, Hoang H Nguyen, Yue Zhou, Weizhi Zhang, Liancheng Fang, Langzhou He, Yangning Li, Dongyuan Li, Renhe Jiang, Xue Liu, Philip S. Yu
- OpenReview Archive Direct Upload
- Readers: Everyone
SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning
Junyou Zhu, Langzhou He, Chao Gao, Dongpeng Hou, Zhen Su, Philip S. Yu, Juergen Kurths, Frank Hellmann
- ICML 2025 poster
- Readers: Everyone

View all 15 publications

Co-Authors

View all 61 co-authors