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 | 186 | 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 | 154 | 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 | 123 | 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 | 46 | 2021 |
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 | 39 | 2022 |
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 | 34* | 2020 |
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 | 22 | 2024 |
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 | 21 | 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 | 12 | 2023 |
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 | 9 | 2024 |
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 | 8 | 2020 |
Phy124: Fast physics-driven 4d content generation from a single image J Lin, Z Wang, Y Hou, Y Tang, M Jiang arXiv preprint arXiv:2409.07179, 2024 | 4 | 2024 |
Adversarial learning for neural pde solvers with sparse data Y Gong, Y Hou, Z Wang, Z Lin, M Jiang arXiv preprint arXiv:2409.02431, 2024 | 4 | 2024 |
Spatial-Temporal Knowledge Transfer for Dynamic Constrained Multiobjective Optimization Z Wang, D Xu, M Jiang, KC Tan IEEE Transactions on Evolutionary Computation, 2024 | 4 | 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 | 4 | 2024 |
Cross-modality attack boosted by gradient-evolutionary multiform optimization Y Gong, Q Zeng, D Xu, Z Wang, M Jiang arXiv preprint arXiv:2409.17977, 2024 | 3 | 2024 |
Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data Z Wang, Q Zeng, W Lin, M Jiang, KC Tan IEEE Transactions on Neural Networks and Learning Systems, 2024 | 3 | 2024 |
Ask, Attend, Attack: A Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models Q Zeng, Z Wang, Y Cheung, M Jiang arXiv preprint arXiv:2408.08989, 2024 | 2 | 2024 |
Crystalline material discovery in the era of artificial intelligence Z Wang, H Hua, W Lin, M Yang, KC Tan arXiv preprint arXiv:2408.08044, 2024 | 2 | 2024 |
Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Models Z Wang, Z Lin, W Lin, M Yang, M Zeng, KC Tan arXiv preprint arXiv:2405.16041, 2024 | 2 | 2024 |