Interactive Reference Region Based Multi-Objective Evolutionary Algorithm Through Decomposition. - Ruochen Liu; Ruinan Wang; Wen Feng; Junjun Huang; Licheng Jiao (IEEE Access, 2016)

Improved Artificial Weed Colonization Based Multi-objective Optimization Algorithm. - Ruochen Liu; Ruinan Wang; Manman He; Xiao Wang (LSMS/ICSEE (2), 2017)

Shape automatic clustering-based multi-objective optimization with decomposition. - Ruochen Liu; Ruinan Wang; Xin Yu; Lijia An (Mach. Vis. Appl., 2017)

A Special Points-Based Hybrid Prediction Strategy for Dynamic Multi-Objective Optimization. - Jianxia Li; Ruochen Liu; Ruinan Wang; Jin Liu; Caihong Mu (IEEE Access, 2019)

DNAzyme-Functionalized R-Phycoerythrin as a Cost-Effective and Environment-Friendly Fluorescent Biosensor for Aqueous Pb2+ Detection. - Jikui Wu; Yunfei Lu; Ningna Ren; Min Jia 004; Ruinan Wang; Junling Zhang (Sensors, 2019)

A Decomposition-Based Evolutionary Algorithm with Correlative Selection Mechanism for Many-Objective Optimization. - Ruochen Liu; Ruinan Wang; Renyu Bian; Jing Liu 006; Licheng Jiao (Evol. Comput., 2021)

Change Detection in SAR Images Using Multiobjective Optimization and Ensemble Strategy. - Ruochen Liu; Ruinan Wang; Junjun Huang; Jianxia Li; Licheng Jiao (IEEE Geosci. Remote. Sens. Lett., 2021)

Demand prediction for a public bike sharing program based on spatio-temporal graph convolutional networks. - Guangnian Xiao; Ruinan Wang; Chunqin Zhang; Anning Ni (Multim. Tools Appl., 2021)

Handling dynamic multiobjective optimization problems with variable environmental change via classification prediction and dynamic mutation. - Jianxia Li; Ruochen Liu; Ruinan Wang (Inf. Sci., 2022)

A change type-based self-adaptive response strategy for dynamic multi-objective optimization. - Jianxia Li; Ruochen Liu; Ruinan Wang (Knowl. Based Syst., 2022)

Masked Imitation Learning: Discovering Environment-Invariant Modalities in Multimodal Demonstrations. - Yilun Hao; Ruinan Wang; Zhangjie Cao; Zihan Wang; Yuchen Cui; Dorsa Sadigh (IROS, 2023)

Elastic Strategy-Based Adaptive Genetic Algorithm for Solving Dynamic Vehicle Routing Problem With Time Windows. - Jianxia Li; Ruochen Liu; Ruinan Wang (IEEE Trans. Intell. Transp. Syst., 2023)

Efficient Hyperparameter Importance Assessment for CNNs. - Ruinan Wang; Ian T. Nabney; Mohammad Golbabaee (CoRR, 2024)

Handling dynamic capacitated vehicle routing problems based on adaptive genetic algorithm with elastic strategy. - Jianxia Li; Ruochen Liu; Ruinan Wang (Swarm Evol. Comput., 2024)

Grouped Sequential Optimization Strategy - the Application of Hyperparameter Importance Assessment in Deep Learning. - Ruinan Wang; Ian T. Nabney; Mohammad Golbabaee (CPAL, 2025)

Dynamic multi-objective optimization based on classification response of decision variables. - Jianxia Li; Ruochen Liu; Ruinan Wang (Inf. Sci., 2025)

A Prediction Method for Highway Traffic Flow Based on the IHPO-VMD-LSTM-Informer Model. - Ruinan Wang; Yan Cao; Xingyu Ji; Di Qiao (Inf. Technol. Control., 2025)

Constrained multi-objective evolutionary algorithm based on the correlation between objectives and constraints. - Jianxia Li; Ruochen Liu; Xilong Zhang; Ruinan Wang (Swarm Evol. Comput., 2025)