Hello! 👋
I am Heyang Gao, a third-year Ph.D. student at Gaoling School of Artificial Intelligence, Renmin University of China, advised by Prof. Xu Chen. I received my Bachelor’s degree in Computer Science and Technology in Beijing University of Posts and Telecommunications. I am interested in causal discovery and LLM-based agent.
🎓 Education
- 2023 - Present Renmin Univ. of China Ph.D. student
- 2019 - 2023 Beijing Univ. of Posts and Telecomm. Undergrad. student
📄 Publications
- Solving the Granularity Mismatch: Hierarchical Preference Learning for Long-Horizon LLM Agents
Heyang Gao, Zexu Sun, Erxue Min, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Xu Chen
In ICLR 2026. [paper]
- Policy-Based Bayesian Active Causal Discovery with Deep Reinforcement Learning
Heyang Gao, Zexu Sun, Hao Yang, Xu Chen
In KDD 2024. [paper]
- Learning from Cognition: Enhancing RL Efficiency for LLM Reasoning via Hierarchical Metacognitive Decomposition and Refinement
Zexu Sun, Yongcheng Zeng, Erxue Min, Heyang Gao, Bokai Ji, Dugang Liu, Xing Tang, Xiuqiang He, Xu Chen
In ACL 2026. [paper]
- GenSim: A General Social Simulation Platform with Large Language Model based Agents
Jiakai Tang, Heyang Gao, Xuchen Pan, Lei Wang, Haoran Tan, Dawei Gao, Yushuo Chen, Xu Chen, Yankai Lin, Yaliang Li, Bolin Ding, Jingren Zhou, Jun Wang, Ji-Rong Wen
In NAACL 2025 (Demo Track). [paper]
- Yulan-onesim: Towards the next generation of social simulator with large language models
Lei Wang, Heyang Gao, Xiaohe Bo, Xu Chen, Ji-Rong Wen
In NeurIPS 2025 Workshop on Scaling Environments for Agents. [paper]
- Hierarchical Invariant Learning for Domain Generalization Recommendation
Zeyu Zhang, Heyang Gao, Hao Yang, Xu Chen
In KDD 2023. [paper]
My email: gaoheyang1014@gmail.com