Path Planning of Maritime Autonomous Surface Ships in Unknown Environment with Reinforcement Learning. - Chengbo Wang 001; Xinyu Zhang 020; Ruijie Li; Peifang Dong (ICCSIP (2), 2018)

Research on intelligent collision avoidance decision-making of unmanned ship in unknown environments. - Chengbo Wang 001; Xinyu Zhang 020; Longze Cong; Junjie Li; Jiawei Zhang (Evol. Syst., 2019)

Decision-Making for the Autonomous Navigation of Maritime Autonomous Surface Ships Based on Scene Division and Deep Reinforcement Learning. - Xinyu Zhang 020; Chengbo Wang 001; Yuanchang Liu; Xiang Chen (Sensors, 2019)

A Real-Time Collision Avoidance Framework of MASS Based on B-Spline and Optimal Decoupling Control. - Xinyu Zhang 020; Chengbo Wang 001; Kwok Tai Chui; Ryan Wen Liu (Sensors, 2021)

Car-following strategy of intelligent connected vehicle using extended disturbance observer adjusted by reinforcement learning. - Ruidong Yan; Penghui Li; Hongbo Gao 001; Jin Huang; Chengbo Wang 001 (CAAI Trans. Intell. Technol., 2024)

A machine learning-based adaptive heuristic for vessel scheduling problem under uncertainty via chance-constrained programming. - Runfo Li; Xinyu Zhang 020; Chengbo Wang 001; Jinlong Cui; Mengfeng Mu (Comput. Electr. Eng., 2024)

Robust optimization for a class of ship traffic scheduling problem with uncertain arrival and departure times. - Xinyu Zhang 020; Runfo Li; Chengbo Wang 001; Biao Xue; Wenqiang Guo (Eng. Appl. Artif. Intell., 2024)

An improved hierarchical deep reinforcement learning algorithm for multi-intelligent vehicle lane change. - Hongbo Gao 001; Ming Zhao; Xiao Zheng; Chengbo Wang 001; Lin Zhou 012; Yafei Wang 002; Lei Ma 008; Bo Cheng; Zhenyu Wu 007; Yuansheng Li (Neurocomputing, 2024)

COLERGs-constrained safe reinforcement learning for realising MASS's risk-informed collision avoidance decision making. - Chengbo Wang 001; Xinyu Zhang 020; Hongbo Gao 001; Musa Bashir; Huanhuan Li 001; Zaili Yang (Knowl. Based Syst., 2024)

Knowledge transfer enabled reinforcement learning for efficient and safe autonomous ship collision avoidance. - Chengbo Wang 001; Ning Wang 074; Hongbo Gao 001; Leihao Wang; Yizhuo Zhao; Mingxing Fang (Int. J. Mach. Learn. Cybern., 2024)

An approach for traffic pattern recognition integration of ship AIS data and port geospatial features. - Gaocai Li; Xinyu Zhang 020; Lingling Jiang; Chengbo Wang 001; Ruining Huang; Zhensheng Liu (Geo spatial Inf. Sci., 2024)

Optimization of integrated accurate ride-tide planning and vessel scheduling in multi-functional ports with long channels. - Xinyu Zhang 020; Wenqiang Guo; Zaili Yang; Jingyun Wang; Chengbo Wang 001 (Expert Syst. Appl., 2025)

Adaptive-Neural Finite-Time Sliding Mode Control for Quadrotor Helicopter Attitude Stabilization in Complex Environments. - Mati Ullah; Hongbo Gao 001; Alam Nasir; Yafei Wang 001; Chengbo Wang 001 (IEEE Trans. Aerosp. Electron. Syst., 2025)

A novel deep reinforcement learning for POMDP-based autonomous ship collision decision-making. - Xinyu Zhang; Kangjie Zheng; Chengbo Wang 001; Jihong Chen; Huaiyuan Qi (Neural Comput. Appl., 2025)

A Spatial-Temporal Predictive Transformer Network for Level-3 Autonomous Vehicle Decision-Making. - Hongbo Gao 001; Xiao Zheng; Qingchao Liu; Lin Zhou 012; Chao Huang 006; Mingmao Hu; Chengbo Wang 001; Keqiang Li; Danwei Wang; Deyi Li (IEEE Trans. Neural Networks Learn. Syst., 2025)