A deep reinforcement learning based hyper-heuristic for combinatorial optimisation with uncertainties. - Yuchang Zhang; Ruibin Bai; Rong Qu; Chaofan Tu; Jiahuan Jin (Eur. J. Oper. Res., 2022)

Siamese-Discriminant Deep Reinforcement Learning for Solving Jigsaw Puzzles with Large Eroded Gaps. - Xingke Song; Jiahuan Jin; Chenglin Yao; Shihe Wang; Jianfeng Ren; Ruibin Bai (AAAI, 2023)

Analytics and machine learning in vehicle routing research. - Ruibin Bai; Xinan Chen; Zhi-Long Chen; Tianxiang Cui; Shuhui Gong; Wentao He; Xiaoping Jiang; Huan Jin; Jiahuan Jin; Graham Kendall; Jiawei Li 001; Zheng Lu 002; et al. (Int. J. Prod. Res., 2023)

Predicting Drug-Disease Associations Through Similarity Network Fusion and Multi-View Feature Projection Representation. - Shiming Wang; Jie Li 055; Dong Wang 066; Dechen Xu; Jiahuan Jin; Yadong Wang 001 (IEEE J. Biomed. Health Informatics, 2023)

Container port truck dispatching optimization using Real2Sim based deep reinforcement learning. - Jiahuan Jin; Tianxiang Cui; Ruibin Bai; Rong Qu (Eur. J. Oper. Res., 2024)

Mobile robot sequential decision making using a deep reinforcement learning hyper-heuristic approach. - Tianxiang Cui; Xiaoying Yang; Fuhua Jia; Jiahuan Jin; Yujian Ye; Ruibin Bai (Expert Syst. Appl., 2024)

MPLBind: Predicting the Effect of Binding Site Point Mutations on Protein-Ligand Binding Affinity Using Protein Large Language Models. - Jiahuan Jin; Jie Li 055 (J. Chem. Inf. Model., 2025)