| Blended biogeography-based optimization for constrained optimization H Ma, D Simon Engineering Applications of Artificial Intelligence 24 (3), 517-525, 2011 | 342 | 2011 |
| An analysis of the equilibrium of migration models for biogeography-based optimization H Ma Information Sciences 180 (18), 3444-3464, 2010 | 321 | 2010 |
| Multi-population techniques in nature inspired optimization algorithms: A comprehensive survey H Ma, S Shen, M Yu, Z Yang, M Fei, H Zhou Swarm and evolutionary computation 44, 365-387, 2019 | 208 | 2019 |
| Exploiting cognitive structure for adaptive learning Q Liu, S Tong, C Liu, H Zhao, E Chen, H Ma, S Wang Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 170 | 2019 |
| Convolutional knowledge tracing: Modeling individualization in student learning process S Shen, Q Liu, E Chen, H Wu, Z Huang, W Zhao, Y Su, H Ma, S Wang Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 157 | 2020 |
| Biogeography-based optimization: a 10-year review H Ma, D Simon, P Siarry, Z Yang, M Fei IEEE Transactions on Emerging Topics in Computational Intelligence 1 (5 …, 2017 | 155 | 2017 |
| A comprehensive survey on NSGA-II for multi-objective optimization and applications H Ma, Y Zhang, S Sun, T Liu, Y Shan Artificial Intelligence Review 56 (12), 15217-15270, 2023 | 153 | 2023 |
| A multi-stage evolutionary algorithm for multi-objective optimization with complex constraints H Ma, H Wei, Y Tian, R Cheng, X Zhang Information Sciences 560, 68-91, 2021 | 142 | 2021 |
| Multi-objective biogeography-based optimization for dynamic economic emission load dispatch considering plug-in electric vehicles charging H Ma, Z Yang, P You, M Fei Energy 135, 101-111, 2017 | 132 | 2017 |
| Dirt: Deep learning enhanced item response theory for cognitive diagnosis S Cheng, Q Liu, E Chen, Z Huang, Z Huang, Y Chen, H Ma, G Hu Proceedings of the 28th ACM international conference on information and …, 2019 | 122 | 2019 |
| Structure-based knowledge tracing: An influence propagation view S Tong, Q Liu, W Huang, Z Hunag, E Chen, C Liu, H Ma, S Wang 2020 IEEE international conference on data mining (ICDM), 541-550, 2020 | 119 | 2020 |
| Learning or forgetting? A dynamic approach for tracking the knowledge proficiency of students Z Huang, Q Liu, Y Chen, L Wu, K Xiao, E Chen, H Ma, G Hu ACM Transactions on Information Systems (TOIS) 38 (2), 1-33, 2020 | 115 | 2020 |
| A survey of context-aware mobile recommendations Q Liu, H Ma, E Chen, H Xiong International Journal of Information Technology & Decision Making 12 (01 …, 2013 | 115 | 2013 |
| A multipopulation evolutionary algorithm for solving large-scale multimodal multiobjective optimization problems Y Tian, R Liu, X Zhang, H Ma, KC Tan, Y Jin IEEE Transactions on Evolutionary Computation 25 (3), 405-418, 2020 | 111 | 2020 |
| Deep reinforcement learning based adaptive operator selection for evolutionary multi-objective optimization Y Tian, X Li, H Ma, X Zhang, KC Tan, Y Jin IEEE Transactions on Emerging Topics in Computational Intelligence 7 (4 …, 2022 | 108 | 2022 |
| Multi-objective optimization of charging patterns for lithium-ion battery management K Liu, K Li, H Ma, J Zhang, Q Peng Energy Conversion and Management 159, 151-162, 2018 | 99 | 2018 |
| Equilibrium species counts and migration model tradeoffs for biogeography-based optimization H Ma, S Ni, M Sun Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held …, 2009 | 83 | 2009 |
| SWIPENET: Object detection in noisy underwater scenes L Chen, F Zhou, S Wang, J Dong, N Li, H Ma, X Wang, H Zhou Pattern Recognition 132, 108926, 2022 | 80 | 2022 |
| A habit mining approach for discovering similar mobile users H Ma, H Cao, Q Yang, E Chen, J Tian Proceedings of the 21st international conference on World Wide Web, 231-240, 2012 | 80 | 2012 |
| Ensemble multi-objective biogeography-based optimization with application to automated warehouse scheduling H Ma, S Su, D Simon, M Fei Engineering Applications of Artificial Intelligence 44, 79-90, 2015 | 75 | 2015 |
Zhile Yang (杨之乐)SIAT-Chinese Academy of Sciences在 qub.ac.uk 的电子邮件经过验证