Shanghai Jiao Tong University
Shanghai AI LaboratoryHi! I am a first-year Ph.D. student in the School of Computer Science at Shanghai Jiao Tong University, supervised by Lei Bai. Previously, I received my B.S. degree in Computer Science and Technology from the Elite Class at Tongji University. I am also a joint research intern at the Shanghai Artificial Intelligence Laboratory, where I have the pleasure of working closely with Zhenfei Yin and Yiran Qin.
My research interests lie in multi-agent embodied intelligence systems, with a focus on both the planning and control aspects. My work explores the integration of coordinated control policies and high-level task planning, aiming to bridge the gap between symbolic reasoning and low-level motor control in multi-agent settings.
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Shanghai Jiao Tong UniversitySchool of Computer Science
Ph.D. StudentSep. 2025 - present -
Tongji UniversityB.S. in Computer Science and Technology (Elite Class)Sep. 2021 - Jul. 2025
Experience
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Shanghai Artificial Intelligence LaboratoryResearch InternOct. 2024 - present
Honors & Awards
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SAC Highlight Award at EMNLP 20252025
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Outstanding Paper Award at CVPR 2025 MEIS Workshop2025
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Silver Medal, ACM-ICPC Regional Contest (46th)2023
News
Selected Publications (view all )
Advances and Innovations in the Multi-Agent Robotic System (MARS) Challenge
Li Kang*, Heng Zhou*, Xiufeng Song*, Rui Li*, Bruno N.Y. Chen, Ziye Wang, Ximeng Meng, Stone Tao, Yiran Qin, Xiaohong Liu, Ruimao Zhang, Lei Bai, Yilun Du, Hao Su, Philip Torr, Zhenfei Yin#, Challenge Participants (* equal contribution, # corresponding author)
MARS Challenge @ NeurIPS 2025 Workshop on Space in Vision, Language, and Embodied AI
TL;DR: We present the technical report of the MARS Challenge, which systematically summarizes the outstanding solutions from participants and provides key insights into the challenges of multi-agent embodied collaboration.
[Project Page] [Paper] [Code (Planning Track)] [Code (Control Track)]
Advances and Innovations in the Multi-Agent Robotic System (MARS) Challenge
Li Kang*, Heng Zhou*, Xiufeng Song*, Rui Li*, Bruno N.Y. Chen, Ziye Wang, Ximeng Meng, Stone Tao, Yiran Qin, Xiaohong Liu, Ruimao Zhang, Lei Bai, Yilun Du, Hao Su, Philip Torr, Zhenfei Yin#, Challenge Participants (* equal contribution, # corresponding author)
MARS Challenge @ NeurIPS 2025 Workshop on Space in Vision, Language, and Embodied AI
TL;DR: We present the technical report of the MARS Challenge, which systematically summarizes the outstanding solutions from participants and provides key insights into the challenges of multi-agent embodied collaboration.
[Project Page] [Paper] [Code (Planning Track)] [Code (Control Track)]
Reinventing Multi-Agent Collaboration through Gaussian-Image Synergy in Diffusion Policies
Ziye Wang*, Li Kang*, Yiran Qin*, Jiahua Ma, Zhanglin Peng, Lei Bai, Ruimao Zhang# (* equal contribution, # corresponding author)
NeurIPS 2025
TL;DR: 3D Gaussians make multi-agent teamwork click!
Reinventing Multi-Agent Collaboration through Gaussian-Image Synergy in Diffusion Policies
Ziye Wang*, Li Kang*, Yiran Qin*, Jiahua Ma, Zhanglin Peng, Lei Bai, Ruimao Zhang# (* equal contribution, # corresponding author)
NeurIPS 2025
TL;DR: 3D Gaussians make multi-agent teamwork click!
VIKI‑R: Coordinating Embodied Multi-Agent Cooperation via Reinforcement Learning
Li Kang*, Xiufeng Song*, Heng Zhou*, Yiran Qin#, Jie Yang, Xiaohong Liu, Philip Torr, Lei Bai#, Zhenfei Yin# (* equal contribution, # corresponding author)
NeurIPS 2025
TL;DR: Boost VLM’s visual reasoning with GRPO to orchestrate collaboration among heterogeneous embodied robots.
VIKI‑R: Coordinating Embodied Multi-Agent Cooperation via Reinforcement Learning
Li Kang*, Xiufeng Song*, Heng Zhou*, Yiran Qin#, Jie Yang, Xiaohong Liu, Philip Torr, Lei Bai#, Zhenfei Yin# (* equal contribution, # corresponding author)
NeurIPS 2025
TL;DR: Boost VLM’s visual reasoning with GRPO to orchestrate collaboration among heterogeneous embodied robots.
RoboFactory: Exploring Embodied Agent Collaboration with Compositional Constraints
Yiran Qin*, Li Kang*, Xiufeng Song*, Zhenfei Yin#, Xiaohong Liu, Xihui Liu, Ruimao Zhang#, Lei Bai# (* equal contribution, # corresponding author)
ICCV 2025 & Outstanding Paper Award at CVPR 2025 MEIS Workshop
TL;DR: Using compositional constraints to coordinate multiple robotic arms for complex—and surprisingly fun—manipulation tasks!
RoboFactory: Exploring Embodied Agent Collaboration with Compositional Constraints
Yiran Qin*, Li Kang*, Xiufeng Song*, Zhenfei Yin#, Xiaohong Liu, Xihui Liu, Ruimao Zhang#, Lei Bai# (* equal contribution, # corresponding author)
ICCV 2025 & Outstanding Paper Award at CVPR 2025 MEIS Workshop
TL;DR: Using compositional constraints to coordinate multiple robotic arms for complex—and surprisingly fun—manipulation tasks!