I am currently a Research Scientist at ByteDance Seed-LLM. I have been working on 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 agents 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. My work on enhancing LLM tool-use capabilities now powers the Doubao AI Mobile and Doubao Voice Agents. I am continually exploring new technical frontiers, including training long-context LLM agents via reinforcement learning, elevating conversational abilities via multi-agent reinforcement learning, and developing generative reward models for music generation.
Publications and preprints
Papers sorted by recency(*/**/*** = equal contribution). Representative papers are highlighted.
Joey Hong, Kang Liu, Zhan Ling, Jiecao Chen, Sergey Levine
Preprint
arXiv
Weiwei Sun, Miao Lu, Zhan Ling, Kang Liu, Xuesong Yao, Yiming Yang, Jiecao Chen
Preprint
arXiv code
Miao Lu, Weiwei Sun, Weihua Du, Zhan Ling, Xuesong Yao, Kang Liu, Jiecao Chen
Preprint
arXiv
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
Zhaoyang Li*, Zhan Ling*, Yuchen Zhou, Hao Su
Preprint
arXiv
Kai Yan, Zhan Ling, Kang Liu, Yifan Yang, Ting-Han Fan, Lingfeng Shen, Zhengyin Du, Jiecao Chen
Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track, 2025
arXiv / data
Zhan Ling, Kang Liu, Kai Yan, Yifan Yang, Weijian Lin, Ting-Han Fan, Lingfeng Shen, Zhengyin Du, Jiecao Chen
Preprint
arXiv / data
Ying Su, Zhan Ling, Haochen Shi, Cheng Jiayang, Yauwai Yim, Yangqiu Song
Empirical Methods in Natural Language Processing (EMNLP), 2024, Main
arXiv / code
Zhan Ling, Yunhao Fang, Xuanlin Li, Tongzhou Mu, Mingu Lee, Reza Pourreza, Roland Memisevic, Hao Su
Preprint
arXiv / code
Kairong Luo, Caiwei Xiao, Zhiao Huang, Zhan Ling, Yunhao Fang, Hao Su
Preprint
paper
Zhan Ling*, Yunhao Fang*, Xuanlin Li, Zhiao Huang, Mingu Lee, Roland Memisevic, Hao Su
Neural Information Processing Systems (NeurIPS), 2023
arXiv / code / poster
Zhan Ling*, Yunchao Yao*, Xuanling Li, Hao Su
Preprint
arXiv / code
Xuanlin Li*, Yunhao Fang*, Minghua Liu, Zhan Ling, Zhuowen Tu, Hao Su
IEEE / CVF International Conference on Computer Vision (ICCV), 2023
arXiv / code poster
Minghua Liu, Yinhao Zhu, Hong Cai, Shizhong Han, Zhan Ling, Fatih Porikli, Hao Su
IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023
arXiv / code(coming soon) / website / video / slides
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
Zhiwei Jia, Xuanlin Li, Zhan Ling, Shuang Liu, Yiran Wu, Hao Su
International Conference on Machine Learning (ICML), 2022
arXiv / code / website
Xinyue Wei*, Minghua Liu*, Zhan Ling, Hao Su
ACM Transactions on Graphics(TOG), Proceedings of SIGGRAPH (Journal Track), 2022
arXiv / code / website / video
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
Tongzhou Mu*, Zhan Ling*, Fanbo Xiang*, Derek Yang*, Xuanlin Li*, Stone Tao, Zhiao Huang, Zhiwei Jia, Hao Su
Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track, 2021
arXiv / code / website / video / slides / baseline code / poster
Fangchen Liu, Zhan Ling, Tongzhou Mu, Hao Su
International Conference on Learning Representations (ICLR), 2020
arXiv / code
Services
Conference Reviewer: ICLR, ICML, NeurIPS, CVPR, ICCV, ECCV, ICRA, AISTATS, ACCV.Program Committee: AAAI.
Journal Reviewer: T-RO, RA-L.