Reinforcement Learning Based Multi-Agent Resilient Control: From Deep Neural Networks to an Adaptive Law. - Jian Hou 002; Fangyuan Wang 002; Lili Wang 002; Zhiyong Chen 001 (AAAI, 2021)

An Embedded Feature Selection Framework for Control. - Jiawen Wei 002; Fangyuan Wang 002; Wanxin Zeng; Wenwei Lin; Ning Gui (KDD, 2022)

A Dual-Arm Collaborative Framework for Dexterous Manipulation in Unstructured Environments with Contrastive Planning. - Shengzeng Huo; Fangyuan Wang 002; Luyin Hu; Peng Zhou 018; Jihong Zhu 002; Hesheng Wang 001; David Navarro-Alarcon (CoRR, 2022)

Implicit Subgoal Planning with Variational Autoencoders for Long-Horizon Sparse Reward Robotic Tasks. - Fangyuan Wang 002; Anqing Duan; Peng Zhou 018; Shengzeng Huo; Guodong Guo; Chenguang Yang 001; David Navarro-Alarcon (CoRR, 2023)

Resilient Consensus via Weight Learning and Its Application in Fault-Tolerant Clock Synchronization. - Jian Hou 002; Zhiyong Chen 001; Zhiyun Lin; Chunling Wei; Junzheng Zheng; Fangyuan Wang 002; Mengfan Xiang; Yujie Xie (IEEE Trans. Control. Netw. Syst., 2023)

Understanding via Exploration: Discovery of Interpretable Features With Deep Reinforcement Learning. - Jiawen Wei 002; Zhifeng Qiu; Fangyuan Wang 002; Wenwei Lin; Ning Gui; Weihua Gui 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Instruction-Augmented Long-Horizon Planning: Embedding Grounding Mechanisms in Embodied Mobile Manipulation. - Fangyuan Wang 002; Shipeng Lyu; Peng Zhou 018; Anqing Duan; Guodong Guo; David Navarro-Alarcon (AAAI, 2025)

Explicit-Implicit Subgoal Planning for Long-Horizon Tasks With Sparse Rewards. - Fangyuan Wang 002; Anqing Duan; Peng Zhou 018; Shengzeng Huo; Guodong Guo; Chenguang Yang 001; David Navarro-Alarcon (IEEE Trans Autom. Sci. Eng., 2025)

TEVIO: Thermal-Aided Event-Based Visual-Inertial Odometry for Robust State Estimation in Challenging Environments. - Gu Gong; Fuji Hu; Fangyuan Wang 002; Muhammad Muddassir; Peng Zhou 018; Lu Li; Qiang Wang 001; Zhen He; David Navarro-Alarcon (IEEE Trans. Instrum. Meas., 2025)

Rearranging Deformable Linear Objects for Implicit Goals with Self-Supervised Planning and Control. - Shengzeng Huo; Fuji Hu; Fangyuan Wang 002; Luyin Hu; Peng Zhou 018; Jihong Zhu 002; Hesheng Wang 001; David Navarro-Alarcon (Adv. Intell. Syst., 2025)

LLM-driven symbolic planning and hierarchical imitation learning for long-horizon deformable object assembly. - Jiaming Qi; Liang Lu 005; Fangyuan Wang 002; Hoi-Yin Lee; David Navarro-Alarcon; Zeqing Zhang; Peng Zhou 018 (Robotics Comput. Integr. Manuf., 2026)