Transfer Learning based Dynamic Multiobjective Optimization Algorithms M Jiang, Z Huang, L Qiu, H W, G Yen IEEE Transactions on Evolutionary Computation, 1-1, 2017 | 326 | 2017 |
Evolutionary Transfer Optimization - A New Frontier in Evolutionary Computation Research KC Tan, L Feng, M Jiang IEEE Computational Intelligence Magazine 16 (1), 22 - 33, 2021 | 208 | 2021 |
Knee Point Based Imbalanced Transfer Learning for Dynamic Multi-objective Optimization M JIANG, Z WANG, H HONG, G G. YEN IEEE Transactions on Evolutionary Computation, 2020 | 145 | 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 | 124 | 2020 |
Spiking neural P systems with scheduled synapses FGC Cabarle, HN Adorna, M Jiang, X Zeng IEEE Transactions on Nanobioscience 16 (8), 792-801, 2017 | 112 | 2017 |
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 | 94 | 2020 |
Fast multilabel feature selection via global relevance and redundancy optimization J Zhang, Y Lin, M Jiang, S Li, Y Tang, J Long, J Weng, KC Tan IEEE Transactions on Neural Networks and Learning Systems 35 (4), 5721-5734, 2022 | 92 | 2022 |
Integration of Global and Local Metrics for Domain Adaptation Learning Via Dimensionality Reduction M Jiang, W Huang, Z Huang, GG Yen IEEE Transactions on Cybernetics 47 (1), 38-51, 2017 | 90 | 2017 |
A mixture-of-experts prediction framework for evolutionary dynamic multiobjective optimization R Rambabu, P Vadakkepat, KC Tan, M Jiang IEEE transactions on cybernetics 50 (12), 5099-5112, 2019 | 83 | 2019 |
A parallel workflow pattern modeling using spiking neural P systems with colored spikes T Song, X Zeng, P Zheng, M Jiang, A Rodriguez-Paton IEEE transactions on nanobioscience 17 (4), 474-484, 2018 | 67 | 2018 |
Dynamic multi-objective estimation of distribution algorithm based on domain adaptation and nonparametric estimation M Jiang, L Qiu, Z Huang, GG Yen Information Sciences 435, 203-223, 2018 | 61 | 2018 |
A grey prediction-based evolutionary algorithm for dynamic multiobjective optimization C Wang, GG Yen, M Jiang Swarm and Evolutionary Computation 56, 100695, 2020 | 60 | 2020 |
Monodirectional Tissue P Systems With Promoters B Song, X Zeng, M Jiang, MJ Pérez-Jiménez IEEE Transactions on Cybernetics 51 (1), 438-450, 2020 | 56 | 2020 |
A knowledge guided transfer strategy for evolutionary dynamic multiobjective optimization Y Guo, G Chen, M Jiang, D Gong, J Liang IEEE Transactions on Evolutionary Computation 27 (6), 1750-1764, 2022 | 48 | 2022 |
Graph-based Class-imbalance Learning with Label Enhancement G Du, J Zhang, M Jiang, J Long, Y Lin, S Li, KC Tan IEEE Transactions on Neural Networks and Learning Systems, 2021 | 47 | 2021 |
Group-preserving label-specific feature selection for multi-label learning J Zhang, H Wu, M Jiang, J Liu, S Li, Y Tang, J Long Expert Systems with Applications 213, 118861, 2023 | 46 | 2023 |
An Online Prediction Approach Based on Incremental Support Vector Machine for Dynamic Multiobjective Optimization D Xu, M Jiang, W Hu, S Li, R Pan, GG Yen IEEE Transactions on Evolutionary Computation, 2021 | 38 | 2021 |
Multiobjective particle swarm optimization based on network embedding for complex network community detection X Liu, Y Du, M Jiang, X Zeng IEEE Transactions on Computational Social Systems 7 (2), 437-449, 2020 | 38 | 2020 |
A developmental approach to robotic pointing via human–robot interaction F Chao, Z Wang, C Shang, Q Meng, M Jiang, C Zhou, Q Shen Information sciences 283, 288-303, 2014 | 37 | 2014 |
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, 2021 | 36 | 2021 |