| A scalable indicator-based evolutionary algorithm for large-scale multiobjective optimization W Hong, K Tang, A Zhou, H Ishibuchi, X Yao IEEE Transactions on Evolutionary Computation 23 (3), 525-537, 2018 | 126 | 2018 |
| Evolutionary computation for large-scale multi-objective optimization: A decade of progresses WJ Hong, P Yang, K Tang International Journal of Automation and Computing 18 (2), 155-169, 2021 | 68 | 2021 |
| Efficient minimum cost seed selection with theoretical guarantees for competitive influence maximization W Hong, C Qian, K Tang IEEE Transactions on Cybernetics 51 (12), 6091-6104, 2020 | 30 | 2020 |
| Convex hull-based multi-objective evolutionary computation for maximizing receiver operating characteristics performance W Hong, K Tang Memetic Computing 8, 35-44, 2016 | 15 | 2016 |
| Neural Network Pruning by Cooperative Coevolution H Shang, JL Wu, W Hong, C Qian arXiv preprint arXiv:2204.05639, 2022 | 14 | 2022 |
| Multi-objective magnitude-based pruning for latency-aware deep neural network compression W Hong, P Yang, Y Wang, K Tang International Conference on Parallel Problem Solving from Nature, 470-483, 2020 | 11 | 2020 |
| Multi-objective evolutionary optimization for hardware-aware neural network pruning W Hong, G Li, S Liu, P Yang, K Tang Fundamental Research, 2022 | 6 | 2022 |
| A new method to compute ratio of secure summations and its application in privacy preserving distributed data mining Y Shao, W Hong, Z Li IEEE Access 7, 20756-20766, 2019 | 6 | 2019 |
| Multi-objective approaches to portfolio optimization with market impact costs H Wang, X Li, W Hong, K Tang Memetic Computing 14 (4), 411-421, 2022 | 5 | 2022 |
| Multi-Fidelity Simulation Modeling for Discrete Event Simulation: An Optimization Perspective W Chen, W Hong, H Zhang, P Yang, K Tang IEEE Transactions on Automation Science and Engineering 20 (2), 1156-1169, 2022 | 5 | 2022 |
| MOCPSO: A multi-objective cooperative particle swarm optimization algorithm with dual search strategies Y Zhang, B Li, W Hong, A Zhou Neurocomputing 562, 126892, 2023 | 4 | 2023 |
| A new evolutionary multi-objective algorithm for convex hull maximization W Hong, G Lu, P Yang, Y Wang, K Tang 2015 IEEE Congress on Evolutionary Computation (CEC), 931-938, 2015 | 4 | 2015 |
| RM-SAEA: Regularity Model Based Surrogate-Assisted Evolutionary Algorithms for Expensive Multi-Objective Optimization Y Lu, B Li, H Qian, W Hong, P Yang, A Zhou Proceedings of the Genetic and Evolutionary Computation Conference, 722-730, 2023 | 2 | 2023 |
| Thermo-economic Multi-objective Optimization of Adiabatic Compressed Air Energy Storage (A-CAES) System W Hong, L Chen Proceedings of the 2018 International Conference on Computing and Artificial …, 2018 | 2 | 2018 |
| Enhancing Multi-Objective Optimization with Automatic Construction of Parallel Algorithm Portfolios X Ma, S Liu, W Hong Electronics 12 (22), 4639, 2023 | 1 | 2023 |
| Enhancing Diversity by Local Subset Selection in Evolutionary Multiobjective Optimization Z Wang, B Mao, H Hao, W Hong, C Xiao, A Zhou IEEE Transactions on Evolutionary Computation, 2022 | 1 | 2022 |
| Noise-Tolerant Hardware-Aware Pruning for Deep Neural Networks S Lu, C Chen, K Zhang, Y Zheng, Z Hu, W Hong, G Li, X Yao International Conference on Swarm Intelligence, 127-138, 2023 | | 2023 |
| Indicator-Aware Talking Face Generation Based on Evolutionary Multi-objective Optimization G Guo, W Hong, C Zhou, X Yao 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 619-625, 2022 | | 2022 |
| Multi-objective Evolutionary Instance Selection for Multi-label Classification D Liu, H Shang, W Hong, C Qian Pacific Rim International Conference on Artificial Intelligence, 548-561, 2022 | | 2022 |
| Robust Neural Network Pruning by Cooperative Coevolution JL Wu, H Shang, W Hong, C Qian International Conference on Parallel Problem Solving from Nature, 459-473, 2022 | | 2022 |
