| Smooth Tchebycheff Scalarization for Multi-Objective Optimization X Lin, X Zhang, Z Yang, F Liu, Z Wang, Q Zhang 41st International Conference on Machine Learning (ICML 2024), 2024 | 1 | 2024 |
| 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 |
| Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models R Zhang, F Liu, X Lin, Z Wang, Z Lu, Q Zhang arXiv preprint arXiv:2407.10873, 2024 | | 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 |
| 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 |
| Prompt Learning for Generalized Vehicle Routing F Liu, X Lin, W Liao, Z Wang, Q Zhang, X Tong, M Yuan 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), 2024 | | 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 |
| 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 |
| Self-Improved Learning for Scalable Neural Combinatorial Optimization F Luo, X Lin, Z Wang, T Xialiang, M Yuan, Q Zhang arXiv preprint arXiv:2403.19561, 2024 | 4 | 2024 |
| 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 |
| UMOEA/D: A Multiobjective Evolutionary Algorithm for Uniform Pareto Objectives based on Decomposition X Zhang, X Lin, Y Zhang, Y Chen, Q Zhang arXiv preprint arXiv:2402.09486, 2024 | | 2024 |
| PMGDA: A Preference-based Multiple Gradient Descent Algorithm X Zhang, X Lin, Q Zhang arXiv preprint arXiv:2402.09492, 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 |
| Puridefense: Randomized local implicit adversarial purification for defending black-box query-based attacks P Guo, Z Yang, X Lin, Q Zhao, Q Zhang arXiv preprint arXiv:2401.10586, 2024 | 4 | 2024 |
| 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 |
| 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 |
| Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization F Luo*, X Lin*, F Liu, Q Zhang, Z Wang 37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023 | 27 | 2023 |
| Evolutionary Pareto Set Learning with Structure Constraints X Lin, X Zhang, Z Yang, Q Zhang arXiv preprint arXiv:2310.20426, 2023 | 1 | 2023 |
| 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 |
| 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 |
Qingfu ZhangChair Professor, FIEEE, City University of Hong KongVerified email at cityu.edu.hk