Efficient multi-agent cooperation: Scalable reinforcement learning with heterogeneous graph networks and limited communication. - Zhi Li 091; Yanjie Yang; Hui Cheng 002 (Knowl. Based Syst., 2024)

Learning to Explore Efficiently: Heterogeneous Topological Graphs and Lightweight Global Reasoning for Robotic Exploration. - Zhi Li 091; Kairao Zheng; Yiqing Yuan; Junlong Huang; Xiaoxun Zhang; Jinze Wu; Hui Cheng 002 (IEEE Robotics Autom. Lett., 2025)

Fisher-Preserving Guidance: Training-Free Manifold Constraints for Safe Diffusion Control. - Hao Ren 006; Zetong Bi; Yiming Zeng 008; Le Zheng; Zhi Li 091; Zhaoliang Wan; Lu Qi 001; Hui Cheng 002 (CoRR, 2026)

GPTS-Nav: End-to-End Robot Navigation in Dynamic Environments With Graph-Privileged Teacher-Student Reinforcement Learning. - Kairao Zheng; Zhi Li 091; Yiqing Yuan; Hui Cheng 002 (IEEE Robotics Autom. Lett., 2026)

DST-Planner: Diffusion-Augmented Sequential Topological Planning for Robotic Exploration in Complex Environments. - Yiqing Yuan; Zhi Li 091; Jiahui Liang; Peiming Duan; Xiaoxun Zhang; Jihe Guo; Hui Cheng 002 (IEEE Robotics Autom. Lett., 2026)