Wave climate characteristics and long-term trends in the northern South China Sea: A 31-year hindcast study for offshore engineering applications - Jinzong Guan; Qianru Niu; Yanqing Feng; Yan Li; Xiaomei Liao; Lin Mu (Ocean Engineering, 2026)

Real-time analysis of drillstring dynamic insertion and system vibration-induced wellbore wear in offshore directional well - Feng Tang; Yongsheng Liu; Lin Chai; Zongyang Mu; Xin Lei; Qiang Sun (Ocean Engineering, 2026)

Experimental research on drift of rescue targets in a basin under controllable wind-wave-current environment - Jiaqian Wang; Hao Qin; Haiwen Tu; Daosheng Wang; Zhengzhou Li; Bo Li; Hanxiang Su; Chuanfeng Liu; Lei Qin; Lin Mu (Ocean Engineering, 2025)

Drift trajectory prediction and search area optimization of marine targets based on hybrid optimization algorithm - Nan Zhou; Zhongben Zhu; Hongde Qin; Lin Zhou; Yifan Xue; Xiaokai Mu; Guiqiang Bai (Ocean Engineering, 2025)

A real time data-driven dynamic glasius bionic neural network path planning algorithm for polar under-ice feature scanning by “Xinghai 1000” AUV - Lin Zhou; Zhongchao Deng; Guiqiang Bai; Nan Zhou; Hongde Qin; Zhongben Zhu; Yifan Xue; Xiaokai Mu; Xiaojian Cao (Ocean Engineering, 2024)

Optimization of latching control for duck wave energy converter based on deep reinforcement learning - Haowen Su; Hao Qin; Zhixuan Wen; Hongjian Liang; Haoyu Jiang; Lin Mu (Ocean Engineering, 2024)

Experimental and numerical investigation on the interaction between rogue waves and a KVLCC2 in head sea - Jiaqian Wang; Hao Qin; Weiyi Zhang; Haoran Zhang; Lin Mu (Ocean Engineering, 2024)

Probabilistic modelling of surface drift prediction in marine disasters based on the NN–GA and ARMA model - Kui Zhu; Lin Mu; Runze Yu; Xiaoyu Xia; Haiwen Tu (Ocean Engineering, 2023)

Real-time model for wave attenuation using active plate breakwater based on deep reinforcement learning - Hongjian Liang; Hao Qin; Lin Mu; Haowen Su (Ocean Engineering, 2023)

Optimum trim prediction for container ships based on machine learning - Haiwen Tu; Kai Xia; Enjin Zhao; Lin Mu; Jianglong Sun (Ocean Engineering, 2023)