[1] Z. Wang, D. Xu, M. Jiang, K. C. Tan, Spatial-Temporal Knowledge Transfer for Dynamic Constrained Multiobjective Optimization, IEEE Transactions on Evolutionary Computation, 2024. （中科院JCR Q1, Top）

[2] Z. Wang, L. Cao, W. Lin, M. Jiang, K. C. Tan, Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks, Proceedings of the 38th AAAI Conference on Artificial Intelligence, 2024. （CCF-A）

[3] Z. Wang, Q. Zeng, W. Lin, M. Jiang, K. C. Tan, Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data, IEEE Transactions on Neural Networks and Learning Systems, 2024. （中科院JCR Q1, Top）

[4] Z. Wang, Q. Zeng, W. Lin, M. Jiang, K. C. Tan, Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs, Proceedings of the 37th AAAI Conference on Artificial Intelligence, 2023.（CCF-A）

[5] Z. Wang, L. Cao, L. Feng, M. Jiang, K. C. Tan, Evolutionary Multitask Optimization with Lower Confidence Bound-Based Solution Selection Strategy, IEEE Transactions on Evolutionary Computation, 2024. （中科院JCR Q1, Top）

[6] Z. Wang, H. Hong, K. Ye, G. Zhang, M. Jiang, K. C. Tan, Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks, IEEE Transactions on Neural Networks and Learning Systems, 2021. （中科院JCR Q1, Top）

[7] Z. Wang, K. Ye, M. Jiang, J. Yao, N. Xiong, G. Yen, Solving Hybrid Charging Strategy Electric Vehicle based Dynamic Routing Problem via Evolutionary Multi-Objective Optimization, Swarm and Evolutionary Computation, 2022. （中科院JCR Q1）

[8] M. Jiang, Z. Wang*, L. Qiu, S. Guo, X. Gao, K. C. Tan, Individual-Based Transfer Learning for Dynamic Multiobjective Optimization, IEEE Transactions on Cybernetics, 2021. （中科院JCR Q1, Top）