GEAS: A GA-ES-mixed algorithm for parameterized optimization problems - Using CLS problem as an example. - Xing Zhou 004; Wei Peng 005; Bo Yang (IEEE Congress on Evolutionary Computation, 2014)

A Preciser LP-Based Algorithm for Critical Link Set Problem in Complex Networks. - Xing Zhou 004; Wei Peng 005 (CSOC, 2014)

Learning to Cooperate in Decentralized Multi-robot Exploration of Dynamic Environments. - Mingyang Geng; Xing Zhou 004; Bo Ding; Huaimin Wang; Lei Zhang 200 (ICONIP (7), 2018)

How Many Robots are Enough: A Multi-Objective Genetic Algorithm for the Single-Objective Time-Limited Complete Coverage Problem. - Xing Zhou 004; Huaimin Wang; Bo Ding (ICRA, 2018)

Parallelized Synchronous Multi-agent Deep Reinforcement Learning with Experience Replay Memory. - Xudong Gong; Bo Ding; Jie Xu 007; Huaimin Wang; Xing Zhou 004; Dawei Feng (SOSE, 2019)

Synchronous n-Step Method for Independent Q-Learning in Multi-Agent Deep Reinforcement Learning. - Xudong Gong; Bo Ding; Jie Xu 007; Huaimin Wang; Xing Zhou 004; Hongda Jia (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Fast Adaptation via Meta Learning in Multi-agent Cooperative Tasks. - Hongda Jia; Bo Ding; Huaimin Wang; Xudong Gong; Xing Zhou 004 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Solving multi-scenario cardinality constrained optimization problems via multi-objective evolutionary algorithms. - Xing Zhou 004; Huaimin Wang; Wei Peng 005; Bo Ding; Rui Wang 017 (Sci. China Inf. Sci., 2019)

Learning to Cooperate via an Attention-Based Communication Neural Network in Decentralized Multi-Robot Exploration. - Mingyang Geng; Kele Xu; Xing Zhou 004; Bo Ding; Huaimin Wang; Lei Zhang 200 (Entropy, 2019)

Balanced connected task allocations for multi-robot systems: An exact flow-based integer program and an approximate tree-based genetic algorithm. - Xing Zhou 004; Huaimin Wang; Bo Ding; Tianjiang Hu; SuNing Shang (Expert Syst. Appl., 2019)

Multi-objective evolutionary computation for topology coverage assessment problem. - Xing Zhou 004; Huaimin Wang; Bo Ding; Wei Peng 005; Rui Wang 017 (Knowl. Based Syst., 2019)

Improving Policy Generalization for Teacher-Student Reinforcement Learning. - Xudong Gong; Hongda Jia; Xing Zhou 004; Dawei Feng; Bo Ding; Jie Xu 007 (KSEM (2), 2020)

Hierarchical Reinforcement Learning for Autonomous Decision Making and Motion Planning of Intelligent Vehicles. - Yang Lu; Xin Xu 001; Xinglong Zhang; Lilin Qian; Xing Zhou 004 (IEEE Access, 2020)

Event-triggered shared lateral control for safe-maneuver of intelligent vehicles. - Yan Jiang; Xinglong Zhang; Xin Xu 001; Xing Zhou 004; Zhengzheng Dong (Sci. China Inf. Sci., 2021)

Collision-free Coverage Path Planning for the Variable-speed Curvature-constrained Robot. - Lin Li; Dianxi Shi; Songchang Jin; Yixuan Sun; Xing Zhou 004; Shaowu Yang; Hengzhu Liu (ICRA, 2023)

AMARL: An Attention-Based Multiagent Reinforcement Learning Approach to the Min-Max Multiple Traveling Salesmen Problem. - Hao Gao 014; Xing Zhou 004; Xin Xu 001; Yixing Lan; Yongqian Xiao (IEEE Trans. Neural Networks Learn. Syst., 2024)

VVC-Gym: A Fixed-Wing UAV Reinforcement Learning Environment for Multi-Goal Long-Horizon Problems. - Xudong Gong; Dawei Feng; Kele Xu; Weijia Wang; Zhangjun Sun; Xing Zhou 004; Si Zheng; Bo Ding; Huaimin Wang (ICLR, 2025)

Hierarchy Coverage Path Planning With Proactive Extremum Prevention in Unknown Environments. - Lin Li 075; Dianxi Shi; Songchang Jin; Xing Zhou 004; Yahui Li; Bin Bai 001 (IEEE Robotics Autom. Lett., 2025)