| Pareto Set Learning for Expensive Multi-Objective Optimization X Lin, Z Yang, X Zhang, Q Zhang NeurIPS 2022, 2022 | 69 | 2022 |
| Panacea: Pareto Alignment via Preference Adaptation for LLMs Y Zhong*, C Ma*, X Zhang*, Z Yang, Q Zhang, S Qi, Y Yang NeurIPS 2024, 2024 | 21 | 2024 |
| Hypervolume Maximization: A Geometric View of Pareto Set Learning X Zhang, X Lin, B Xue, Y Chen, Q Zhang NeurIPS 2023, 2023 | 19 | 2023 |
| Smooth Tchebycheff Scalarization for Multi-Objective Optimization X Lin, X Zhang, Z Yang, F Liu, Z Wang, Q Zhang ICML 2024, 2024 | 14 | 2024 |
| Continuation Path Learning for Homotopy Optimization X Lin, Z Yang, X Zhang, Q Zhang ICML 2023, 2023 | 8 | 2023 |
| Evolutionary Pareto Set Learning with Structure Constraints X Lin, X Zhang, Z Yang, Q Zhang IEEE Transaction on Evolutionary Computation, 2025 | 6 | 2025 |
| Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization X Lin, Y Liu, X Zhang, F Liu, Z Wang, Q Zhang ICLR, 2025 | 3 | 2025 |
| LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch X Zhang, L Zhao, Y Yu, X Lin, Y Chen, H Zhao, Q Zhang NeurIPS 2024, 2024 | 2 | 2024 |
| Gliding over the Pareto Front with Uniform Designs X Zhang, G Li, X Lin, Z Yichi, Y Chen, Q Zhang NeurIPS 2024, 2024 | 2* | 2024 |
| Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Optimization M Liu, X Zhang, C Xie, K Donahue, H Zhao https://arxiv.org/pdf/2410.21764, 2024 | 1 | 2024 |
| Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond W Chen, X Zhang, L Baijiong*, L Xi, Z Han, Q Zhang, JK Kwok https://arxiv.org/abs/2501.10945, 2025 | | 2025 |
| Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits B Xue, X Lin, X Zhang, Q Zhang AAAI, 2024 | | 2024 |
Xi LinCity University of Hong KongEmail verificata su my.cityu.edu.hk