| A batched scalable multi-objective bayesian optimization algorithm X Lin, HL Zhen, Z Li, Q Zhang, S Kwong arXiv preprint arXiv:1811.01323, 2018 | 13 | 2018 |
| A decomposition based multiobjective evolutionary algorithm with classification X Lin, Q Zhang, S Kwong IEEE Congress on Evolutionary Computation (CEC 2016), 3292-3299, 2016 | 36 | 2016 |
| An efficient batch expensive multi-objective evolutionary algorithm based on decomposition X Lin, Q Zhang, S Kwong IEEE Congress on Evolutionary Computation (CEC 2017), 1343-1349, 2017 | 11 | 2017 |
| Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables P Guo, Q Zhang, X Lin International Conference on Evolutionary Multi-Criterion Optimization (EMO …, 2023 | 1 | 2023 |
| Continuation Path Learning for Homotopy Optimization X Lin, Z Yang, X Zhang, Q Zhang 40th International Conference on Machine Learning (ICML 2023), 2023 | 2 | 2023 |
| Controllable pareto multi-task learning X Lin, Z Yang, Q Zhang, S Kwong arXiv preprint arXiv:2010.06313, 2020 | 63 | 2020 |
| Data-efficient Supervised Learning is Powerful for Neural Combinatorial Optimization S Yao, X Lin, Z Wang, Q Zhang | 1 | 2023 |
| Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model F Liu, X Tong, M Yuan, X Lin, F Luo, Z Wang, Z Lu, Q Zhang 41st International Conference on Machine Learning (ICML 2024), 2024 | 22* | 2024 |
| Evolution strategies for continuous optimization: A survey of the state-of-the-art Z Li, X Lin, Q Zhang, H Liu Swarm and Evolutionary Computation 56, 100694, 2020 | 64 | 2020 |
| Evolutionary Pareto Set Learning with Structure Constraints X Lin, X Zhang, Z Yang, Q Zhang arXiv preprint arXiv:2310.20426, 2023 | 1 | 2023 |
| Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume P Guo, C Gong, X Lin, Z Yang, Q Zhang arXiv preprint arXiv:2403.05100, 2024 | | 2024 |
| Fast covariance matrix adaptation for large-scale black-box optimization Z Li, Q Zhang, X Lin, HL Zhen IEEE Transactions on Cybernetics 50 (5), 2073-2083, 2018 | 47 | 2018 |
| Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization X Lin, Y Liu, X Zhang, F Liu, Z Wang, Q Zhang arXiv preprint arXiv:2405.19650, 2024 | | 2024 |
| Hypervolume Maximization: A Geometric View of Pareto Set Learning X Zhang, X Lin, B Xue, Y Chen, Q Zhang 37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023 | 8 | 2023 |
| Instance-Conditioned Adaptation for Large-scale Generalization of Neural Combinatorial Optimization C Zhou, X Lin, Z Wang, X Tong, M Yuan, Q Zhang arXiv preprint arXiv:2405.01906, 2024 | 1 | 2024 |
| L-AutoDA: Large Language Models for Automatically Evolving Decision-based Adversarial Attacks P Guo, F Liu, X Lin, Q Zhao, Q Zhang Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2024 | | 2024 |
| L-autoda: Leveraging large language models for automated decision-based adversarial attacks P Guo, F Liu, X Lin, Q Zhao, Q Zhang arXiv preprint arXiv:2401.15335, 2024 | 2 | 2024 |
| Large language model for multi-objective evolutionary optimization F Liu, X Lin, Z Wang, S Yao, X Tong, M Yuan, Q Zhang arXiv preprint arXiv:2310.12541, 2023 | 20 | 2023 |
| Moon: A Standardized/Flexible Framework for MultiObjective OptimizatioN X Zhang, J Cheng, L Zhao, S Lai, C Gong, W Liao, L Chen, X Lin, ... | | 2024 |
| Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization F Liu, X Lin, Q Zhang, X Tong, M Yuan 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), 2024 | 5 | 2024 |
Qingfu ZhangChair Professor, FIEEE, City University of Hong KongVerified email at cityu.edu.hk