| 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 | 308 | 2017 |
| Named entity recognition in Chinese clinical text using deep neural network Y Wu, M Jiang, J Lei, H Xu Studies in health technology and informatics 216, 624, 2015 | 209 | 2015 |
| 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 | 178 | 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 | 127 | 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 | 107 | 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 | 107 | 2017 |
| 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 | 87 | 2017 |
| 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, 2022 | 83 | 2022 |
| 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 | 77 | 2020 |
| 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 | 73 | 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 | 64 | 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 | 59 | 2018 |
| Monodirectional Tissue P Systems With Promoters B Song, X Zeng, M Jiang, MJ Pérez-Jiménez IEEE Transactions on Cybernetics 51 (1), 438-450, 2020 | 54 | 2020 |
| A grey prediction-based evolutionary algorithm for dynamic multiobjective optimization C Wang, GG Yen, M Jiang Swarm and Evolutionary Computation 56, 100695, 2020 | 50 | 2020 |
| 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 | 40 | 2021 |
| 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, 2022 | 39 | 2022 |
| 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 |
| 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 | 35 | 2020 |
| 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 | 34 | 2023 |
| Inverse Gaussian Process Modeling for Evolutionary Dynamic Multiobjective Optimization H Zhang, J Ding, M Jiang, KC Tan, T Chai IEEE Transactions on Cybernetics 99 (Early Access), 1-14, 2021 | 32 | 2021 |
Professor Kay Chen TANChair Professor, Department of Computing, Hong Kong Polytechnic University在 polyu.edu.hk 的电子邮件经过验证
