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Qingquan Zhang
Qingquan Zhang
Southern University of Science and Technology (SUSTech)
Verified email at mail.sustech.edu.cn
Title
Cited by
Cited by
Year
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
302022
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
182021
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
92022
An efficient many objective optimization algorithm with few parameters
Q Zhang, J Liu, X Yao
Swarm and Evolutionary Computation 83, 101405, 2023
42023
Measuring diversity of game scenarios
Y Li, Z Wang, Q Zhang, B Yuan, X Wang, J Liu
arXiv preprint arXiv:2404.15192, 2024
32024
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
32023
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
32020
Fairness-aware multiobjective evolutionary learning
Q Zhang, J Liu, X Yao
IEEE Transactions on Evolutionary Computation, 2024
22024
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
22024
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
12024
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
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
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