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. 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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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.
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.

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.
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.

Yiran Qin*, Li Kang*, Xiufeng Song*, Zhenfei Yin#, Xiaohong Liu, Xihui Liu, Ruimao Zhang#, Lei Bai# (* equal contribution, # corresponding author)
ICCV 2025 & Best Paper Award at CVPR 2025 MEIS Workshop
TL;DR: Using compositional constraints to coordinate multiple robotic arms for complex—and surprisingly fun—manipulation tasks!
Yiran Qin*, Li Kang*, Xiufeng Song*, Zhenfei Yin#, Xiaohong Liu, Xihui Liu, Ruimao Zhang#, Lei Bai# (* equal contribution, # corresponding author)
ICCV 2025 & Best Paper Award at CVPR 2025 MEIS Workshop
TL;DR: Using compositional constraints to coordinate multiple robotic arms for complex—and surprisingly fun—manipulation tasks!