| Knee point-based imbalanced transfer learning for dynamic multiobjective optimization M Jiang, Z Wang, H Hong, GG Yen IEEE Transactions on Evolutionary Computation 25 (1), 117-129, 2020 | 132 | 2020 |
| A fast dynamic evolutionary multiobjective algorithm via manifold transfer learning M Jiang, Z Wang, L Qiu, S Guo, X Gao, KC Tan IEEE Transactions on Cybernetics 51 (7), 3417-3428, 2020 | 116 | 2020 |
| Individual-based transfer learning for dynamic multiobjective optimization M Jiang, Z Wang, S Guo, X Gao, KC Tan IEEE Transactions on Cybernetics 51 (10), 4968-4981, 2020 | 84 | 2020 |
| Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks Z Wang, H Hong, K Ye, GE Zhang, M Jiang, KC Tan IEEE Transactions on Neural Networks and Learning Systems 1 (1), 1-15, 2021 | 34 | 2021 |
| Improving Deep Learning based Optical Character Recognition via Neural Architecture Search Z Zhao, M Jiang, S Guo, Z Wang, F Chao, KC Tan 2020 IEEE Congress on Evolutionary Computation (CEC), 2020 | 28* | 2020 |
| Solving hybrid charging strategy electric vehicle based dynamic routing problem via evolutionary multi-objective optimization Z Wang, K Ye, M Jiang, J Yao, NN Xiong, GG Yen Swarm and Evolutionary Computation 68, 100975, 2022 | 22 | 2022 |
| Evolutionary dynamic multi-objective optimization via regression transfer learning W Zhenzhong, M Jiang, G Xing, F Liang, H Weizhen, KC Tan 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2375-2381, 2019 | 19 | 2019 |
| Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs Z Wang, L Cao, W Lin, M Jiang, KC Tan Proceedings of the AAAI Conference on Artificial Intelligence, 2023 | 7 | 2023 |
| Knee points based transfer dynamic multi-objective optimization evolutionary algorithm W Zhenzhong, Z Mei, M Jiang, G Yen 2020 IEEE Congress on Evolutionary Computation (CEC), 1-7, 2020 | 7 | 2020 |
| Generating diagnostic and actionable explanations for fair graph neural networks Z Wang, Q Zeng, W Lin, M Jiang, KC Tan Proceedings of the AAAI Conference on Artificial Intelligence 38 (19), 21690 …, 2024 | 1 | 2024 |
| Evolutionary Multitask Optimization With Lower Confidence Bound-Based Solution Selection Strategy Z Wang, L Cao, L Feng, M Jiang, KC Tan IEEE Transactions on Evolutionary Computation 1 (1), 1-13, 2024 | 1 | 2024 |
| Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data Z Wang, Q Zeng, W Lin, M Jiang, KC Tan arXiv preprint arXiv:2404.12569, 2024 | | 2024 |
| An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations L Cao, Y Liu, Z Wang, D Xu, K Ye, KC Tan, M Jiang Proceedings of the AAAI Conference on Artificial Intelligence, 2024 | | 2024 |
Min JIANG 江敏Professor, Xiamen University在 xmu.edu.cn 的电子邮件经过验证
