| Generalized multitasking for evolutionary optimization of expensive problems J Ding, C Yang, Y Jin, T Chai IEEE Transactions on Evolutionary Computation 23 (1), 44-58, 2017 | 256 | 2017 |
| Offline data-driven multiobjective optimization: Knowledge transfer between surrogates and generation of final solutions C Yang, J Ding, Y Jin, T Chai IEEE Transactions on Evolutionary Computation 24 (3), 409-423, 2019 | 100 | 2019 |
| Multitasking multiobjective evolutionary operational indices optimization of beneficiation processes C Yang, J Ding, Y Jin, C Wang, T Chai IEEE Transactions on Automation Science and Engineering 16 (3), 1046-1057, 2018 | 95 | 2018 |
| Dynamic evolutionary multiobjective optimization for raw ore allocation in mineral processing J Ding, C Yang, Q Xiao, T Chai, Y Jin IEEE Transactions on Emerging Topics in Computational Intelligence 3 (1), 36-48, 2018 | 63 | 2018 |
| Two-stage assortative mating for multi-objective multifactorial evolutionary optimization C Yang, J Ding, KC Tan, Y Jin 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 76-81, 2017 | 55 | 2017 |
| Concept drift-tolerant transfer learning in dynamic environments C Yang, Y Cheung, J Ding, KC Tan IEEE Transactions on Neural Networks and Learning Systems 33 (8), 3857-3871, 2021 | 39 | 2021 |
| Constrained dynamic multi-objective evolutionary optimization for operational indices of beneficiation process C Yang, J Ding Journal of intelligent manufacturing 30, 2701-2713, 2019 | 37 | 2019 |
| Reference point based prediction for evolutionary dynamic multiobjective optimization Y Jin, C Yang, J Ding, T Chai 2016 IEEE congress on evolutionary computation (CEC), 3769-3776, 2016 | 33 | 2016 |
| Contrastive learning assisted-alignment for partial domain adaptation C Yang, YM Cheung, J Ding, KC Tan, B Xue, M Zhang IEEE Transactions on Neural Networks and Learning Systems 34 (10), 7621-7634, 2022 | 32 | 2022 |
| Transfer stacking from low-to high-fidelity: A surrogate-assisted bi-fidelity evolutionary algorithm H Wang, Y Jin, C Yang, L Jiao Applied soft computing 92, 106276, 2020 | 29 | 2020 |
| Evolutionary sequential transfer optimization for objective-heterogeneous problems X Xue, C Yang, Y Hu, K Zhang, YM Cheung, L Song, KC Tan IEEE Transactions on Evolutionary Computation 26 (6), 1424-1438, 2021 | 28 | 2021 |
| 复杂工业过程智能优化决策系统的现状与展望 丁进良， 杨翠娥， 陈远东， 柴天佑 自动化学报 44 (11), 1931-1943, 2018 | 28 | 2018 |
| Recent progress on data-based optimization for mineral processing plants J Ding, C Yang, T Chai Engineering 3 (2), 183-187, 2017 | 24 | 2017 |
| 基于参考点预测的动态多目标优化算法 丁进良， 杨翠娥， 陈立鹏， 柴天佑 ACTA AUTOMATICA SINICA 43 (2), 2017 | 20 | 2017 |
| Incremental weighted ensemble for data streams with concept drift B Jiao, Y Guo, C Yang, J Pu, Z Zheng, D Gong IEEE Transactions on Artificial Intelligence 5 (1), 92-103, 2022 | 18 | 2022 |
| A scalable test problem generator for sequential transfer optimization X Xue, C Yang, L Feng, K Zhang, L Song, KC Tan arXiv preprint arXiv:2304.08503, 2023 | 16 | 2023 |
| Solution transfer in evolutionary optimization: An empirical study on sequential transfer X Xue, C Yang, L Feng, K Zhang, L Song, KC Tan IEEE Transactions on Evolutionary Computation, 2023 | 13 | 2023 |
| Estimation of heat transfer coefficients in continuous casting under large disturbance by Gaussian kernel particle swarm optimization method X Luo, Q Xie, Y Wang, C Yang International Journal of Heat and Mass Transfer 111, 1087-1097, 2017 | 12 | 2017 |
| A data stream ensemble assisted multifactorial evolutionary algorithm for offline data-driven dynamic optimization C Yang, J Ding, Y Jin, T Chai Evolutionary Computation 31 (4), 433-458, 2023 | 7 | 2023 |
| Distributed knowledge transfer for evolutionary multitask multimodal optimization K Gao, C Yang, J Ding, KC Tan, T Chai IEEE Transactions on Evolutionary Computation, 2023 | 7 | 2023 |
Jinliang DingPhD, Professor, Northeastern University, Shenyang, ChinaEmail verificata su mail.neu.edu.cn