| Pareto Multi-Task Learning X Lin, HL Zhen, Z Li, Q Zhang, S Kwong 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), 2019 | 383 | 2019 |
| 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 Oral), 2024 | 98* | 2024 |
| Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization X Lin, Z Yang, Q Zhang 10th International Conference on Learning Representations (ICLR 2022), 2022 | 90 | 2022 |
| Controllable Pareto Multi-Task Learning X Lin, Z Yang, Q Zhang, S Kwong arXiv preprint arXiv:2010.06313, 2020 | 86 | 2020 |
| 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 | 81 | 2020 |
| 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 | 79 | 2023 |
| Pareto Set Learning for Expensive Multi-Objective Optimization X Lin, Z Yang, X Zhang, Q Zhang 36th Conference on Neural Information Processing Systems (NeurIPS 2022), 2022 | 73 | 2022 |
| 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 | 52 | 2018 |
| Large Language Model for Multi-Objective Evolutionary Optimization F Liu, X Lin, Z Wang, S Yao, X Tong, M Yuan, Q Zhang International Conference on Evolutionary Multi-Criterion Optimization (EMO 2025), 2025 | 51 | 2025 |
| A Decomposition based Multiobjective Evolutionary Algorithm with Classification X Lin, Q Zhang, S Kwong IEEE Congress on Evolutionary Computation (CEC 2016), 2016 | 37 | 2016 |
| 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 | 22 | 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 | 21 | 2023 |
| 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 | 20 | 2024 |
| Self-improved learning for scalable neural combinatorial optimization F Luo, X Lin, Z Wang, X Tong, M Yuan, Q Zhang arXiv preprint arXiv:2403.19561, 2024 | 17 | 2024 |
| A Batched Scalable Multi-Objective Bayesian Optimization Algorithm X Lin, HL Zhen, Z Li, Q Zhang, S Kwong arXiv preprint arXiv:1811.01323, 2018 | 17 | 2018 |
| 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 International Conference on Parallel Problem Solving from Nature (PPSN 2024), 2024 | 14 | 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 | 14* | 2024 |
| An Efficient Batch Expensive Multi-Objective Evolutionary Algorithm based on Decomposition X Lin, Q Zhang, S Kwong IEEE Congress on Evolutionary Computation (CEC 2017), 2017 | 13 | 2017 |
| A Systematic Survey on Large Language Models for Algorithm Design F Liu, Y Yao, P Guo, Z Yang, X Lin, X Tong, M Yuan, Z Lu, Z Wang, ... arXiv preprint arXiv:2410.14716, 2024 | 11 | 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 | 9 | 2024 |
Qingfu ZhangChair Professor, FIEEE, City University of Hong KongE-mailová adresa ověřena na: cityu.edu.hk
