Weak Convergence Detection-based Dynamic Reference Point Specification in SMS-EMOA. - Weiduo Liao; Ke Shang; Lie Meng Pang; Hisao Ishibuchi (SSCI, 2019)

Parallel Implementation of MOEA/D with Parallel Weight Vectors for Feature Selection. - Weiduo Liao; Hisao Ishibuchi; Lie Meng Pang; Ke Shang (SMC, 2020)

HVC-Net: Deep Learning Based Hypervolume Contribution Approximation. - Ke Shang; Weiduo Liao; Hisao Ishibuchi (PPSN (1), 2022)

Hypervolume-Optimal μ-Distributions on Line/Plane-Based Pareto Fronts in Three Dimensions. - Ke Shang; Hisao Ishibuchi; Weiyu Chen; Yang Nan 001; Weiduo Liao (IEEE Trans. Evol. Comput., 2022)

Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework. - Weiduo Liao; Ying Wei 001; Mingchen Jiang; Qingfu Zhang 001; Hisao Ishibuchi (NeurIPS, 2023)

HV-Net: Hypervolume Approximation Based on DeepSets. - Ke Shang; Weiyu Chen; Weiduo Liao; Hisao Ishibuchi (IEEE Trans. Evol. Comput., 2023)

Prompt Learning for Generalized Vehicle Routing. - Fei Liu 044; Xi Lin 001; Weiduo Liao; Zhenkun Wang 001; Qingfu Zhang 001; Xialiang Tong; Mingxuan Yuan (IJCAI, 2024)

A Multi-objective Perspective Towards Improving Meta-Generalization. - Weiduo Liao; Ying Wei 001; Qirui Sun; Qingfu Zhang 001; Hisao Ishibuchi (IJCNN, 2024)

Data-Driven Preference Sampling for Pareto Front Learning. - Rongguang Ye; Lei Chen 007; Weiduo Liao; Jinyuan Zhang; Hisao Ishibuchi (IJCNN, 2024)