An effective PSO-TLBO algorithm for multi-objective optimization. - Tingli Cheng; Min-You Chen; Peter J. Fleming; Zhile Yang; Shaojun Gan (CEC, 2016)

A novel hybrid teaching learning based multi-objective particle swarm optimization. - Tingli Cheng; Min-You Chen; Peter J. Fleming; Zhile Yang; Shaojun Gan (Neurocomputing, 2017)

Long-Term Ship Speed Prediction for Intelligent Traffic Signaling. - Shaojun Gan; Shan Liang; Kang Li 002; Jing Deng 003; Tingli Cheng (IEEE Trans. Intell. Transp. Syst., 2017)

Trajectory Length Prediction for Intelligent Traffic Signaling: A Data-Driven Approach. - Shaojun Gan; Shan Liang; Kang Li 002; Jing Deng 003; Tingli Cheng (IEEE Trans. Intell. Transp. Syst., 2018)

Fast Adaptive Gradient RBF Networks For Online Learning of Nonstationary Time Series. - Tong Liu 014; Sheng Chen 001; Shan Liang; Shaojun Gan; Chris J. Harris (IEEE Trans. Signal Process., 2020)

Predicting Ship Speed in the Inland Waterways with LSTM Network. - Dejun Wang; Yanxia Wang; Huixia Shi; Shaojun Gan; Shan Liang (ICITE, 2022)

Intelligent Vessel Scheduling System for the Controlled inland Waterway Based CPS*. - Hui Xie; Dejun Wang; Shaojun Gan; Zechen Li; Shan Liang (ITSC, 2022)

Multi-Output Selective Ensemble Identification of Nonlinear and Nonstationary Industrial Processes. - Tong Liu 014; Sheng Chen 001; Shan Liang; Shaojun Gan; Chris J. Harris (IEEE Trans. Neural Networks Learn. Syst., 2022)

Adaptive Multioutput Gradient RBF Tracker for Nonlinear and Nonstationary Regression. - Tong Liu 014; Sheng Chen 001; Kang Li 002; Shaojun Gan; Chris J. Harris (IEEE Trans. Cybern., 2023)

SSRL: A Clustering-Based Reinforcement Learning Approach for Efficient Ship Scheduling in Inland Waterways. - Shaojun Gan; Xin Wang; Hongdun Li (Symmetry, 2025)

Multi-Ship Collision Avoidance in Inland Waterways Using Actor-Critic Learning with Intrinsic and Extrinsic Rewards. - Shaojun Gan; Ziqi Zhang; Yanxia Wang; Dejun Wang (Symmetry, 2025)