| Mitigating unfairness via evolutionary multiobjective ensemble learning Q Zhang, J Liu, Z Zhang, J Wen, B Mao, X Yao IEEE transactions on evolutionary computation 27 (4), 848-862, 2022 | 33 | 2022 |
| Fairer machine learning through multi-objective evolutionary learning Q Zhang, J Liu, Z Zhang, J Wen, B Mao, X Yao International conference on artificial neural networks, 111-123, 2021 | 19 | 2021 |
| fSDE: efficient evolutionary optimisation for many-objective aero-engine calibration J Liu, Q Zhang, J Pei, H Tong, X Feng, F Wu Complex & Intelligent Systems 8 (4), 2731-2747, 2022 | 10 | 2022 |
| An efficient many objective optimization algorithm with few parameters Q Zhang, J Liu, X Yao Swarm and Evolutionary Computation 83, 101405, 2023 | 4 | 2023 |
| Measuring diversity of game scenarios Y Li, Z Wang, Q Zhang, B Yuan, J Liu IEEE Transactions on Games, 2025 | 3 | 2025 |
| Fairer machine learning through the hybrid of multi-objective evolutionary learning and adversarial learning S Gui, Q Zhang, C Huang, B Yuan 2023 International Joint Conference on Neural Networks (IJCNN), 1-9, 2023 | 3 | 2023 |
| D-MAENS2: a self-adaptive D-MAENS algorithm with better decision diversity Q Zhang, F Wu, Y Tao, J Pei, J Liu, X Yao 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2754-2761, 2020 | 3 | 2020 |
| Fairness-aware multiobjective evolutionary learning Q Zhang, J Liu, X Yao IEEE Transactions on Evolutionary Computation, 2024 | 2 | 2024 |
| Interpreting Multi-objective Evolutionary Algorithms via Sokoban Level Generation Q Zhang, Y Li, Y Lin, H Wang, J Liu 2024 IEEE Conference on Games (CoG), 2024 | 2 | 2024 |
| Exploring Accuracy-Fairness Trade-off in Large Language Models Q Zhang, Q Duan, B Yuan, Y Shi, J Liu arXiv preprint arXiv:2411.14500, 2024 | 1 | 2024 |
| FairerML: An Extensible Platform for Analysing, Visualising, and Mitigating Biases in Machine Learning [Application Notes] B Yuan, S Gui, Q Zhang, Z Wang, J Wen, B Mao, J Liu, X Yao IEEE Computational Intelligence Magazine 19 (2), 129-141, 2024 | 1 | 2024 |
| Expanding Horizons of Level Diversity via Multi-objective Evolutionary Learning Q Zhang, Z Wang, Y Li, K Zhang, B Yuan, J Liu IEEE Transactions on Artificial Intelligence, 2024 | | 2024 |
| Rolling Horizon Co-evolution for Snake AI Competition H Li, J Zhou, Q Zhang International Conference on Intelligent Information Processing, 260-274, 2024 | | 2024 |
| Optimization method, apparatus, computer device and storage medium for engine model Q Zhang, X Yao US Patent 11,704,604, 2023 | | 2023 |
| Simpler is Sometimes Better: A Dynamic Aero-Engine Calibration Study H Tong, Q Zhang, C Hu, X Feng, F Wu, J Liu International Conference on Sensing and Imaging, 343-352, 2022 | | 2022 |
| Learning Boosts Optimisation: Surrogate-Assisted Real Engine Calibration H Tong, J Pei, Q Zhang, J Liu, X Feng, F Wu 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2021 | | 2021 |
| An Extendable Platform for Routing Problem: Optimisation, Evaluation and Solution Visualisation C Li, J Pei, Q Zhang, J Liu, X Yao 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2391-2398, 2020 | | 2020 |
Jialin LiuTenure-Track Associate Professor, Lingnan University (Hong Kong)כתובת אימייל מאומתת בדומיין ln.edu.hk
