Zhan Ling (original) (raw)

I am currently a Research Scientist at ByteDance. I have received my Ph.D. at UC San Diego , advised by Prof. Hao Su. Before starting my Ph.D., I received my B.E. in computer science from Yao Class at Tsinghua University.

Research interest

I am an explorer at heart, dedicated to pushing the frontiers of artificial intelligence. My long-term vision is to develop open-world, self-improving intelligent foundation models that drive us toward super-intelligence and expand the boundaries of human knowledge.

My career is defined by a relentless pursuit of diverse and challenging domains. During my PhD, I ventured broadly across imitation learning, reinforcement learning, robotics, 3D representation learning, and LLM reasoning. After that, I continued this exploration by driving LLM agent post-training at the cutting edge. I am continually exploring new technical frontiers, including training long-context LLM via reinforcement learning, and developing generative reward models for music generation.

Publications and preprints

Papers sorted by recency(*/**/*** = equal contribution). Representative papers are highlighted.

Generalizable End-to-End Tool-Use RL with Synthetic CodeGym
Weihua Du, Hailei Gong, Zhan Ling, Kang Liu, Lingfeng Shen, Xuesong Yao, Yufei Xu, Dingyuan Shi, Yiming Yang, Jiecao Chen
International Conference on Learning Representations (ICLR), 2026
arXiv code data

ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills
Jiayuan Gu*, Fanbo Xiang*, Xuanlin Li**, Zhan Ling**, Xiqiang Liu**, Tongzhou Mu**, Yihe Tang**, Stone Tao**, Xinyue Wei**, Yunchao Yao**, Xiaodi Yuan, Pengwei Xie, Zhiao Huang, Rui Chen, Hao Su
International Conference on Learning Representations (ICLR), 2023
arXiv /code /website /video /challenge website /baseline code

Close the Visual Domain Gap by Physics-Grounded Active Stereovision Depth Sensor Simulation
Xiaoshuai Zhang*, Rui Chen*, Ang Li**, Fanbo Xiang**, Yuzhe Qin**, Jiayuan Gu**, Zhan Ling**, Minghua Liu**, Peiyu Zeng**, Songfang Han***, Zhiao Huang***, Tongzhou Mu***, Jing Xu, Hao Su
IEEE Transactions on Robotics (T-RO) & IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
arXiv /code

Services

Conference Reviewer: ICLR, ICML, NeurIPS, CVPR, ICCV, ECCV, ICRA, AISTATS, ACCV.
Program Committee: AAAI.
Journal Reviewer: T-RO, RA-L.