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Zhenzhong Wang
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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
1422020
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
1242020
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
912020
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
362021
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
30*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
252022
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
202019
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
82023
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
72020
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
42024
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
22024
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
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
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