| Controllable Pareto Multi-task Learning X Lin, Z Yang, Q Zhang, S Kwong arXiv preprint arXiv:2010.06313, 2020 | 77 | 2020 |
| Pareto Set Learning for Neural Multi-objective Combinatorial Optimization X Lin, Z Yang, Q Zhang ICLR 2022, 2022 | 74 | 2022 |
| Pareto Set Learning for Expensive Multi-Objective Optimization X Lin, Z Yang, X Zhang, Q Zhang NeurIPS 2022, 2022 | 60 | 2022 |
| Smooth Tchebycheff Scalarization for Multi-Objective Optimization X Lin, X Zhang, Z Yang, F Liu, Z Wang, Q Zhang ICML 2024, 2024 | 10 | 2024 |
| Evolutionary Pareto Set Learning with Structure Constraints X Lin, X Zhang, Z Yang, Q Zhang arXiv preprint arXiv:2310.20426, 2023 | 5 | 2023 |
| 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 |
| Continuation Path Learning for Homotopy Optimization X Lin, Z Yang, X Zhang, Q Zhang ICML 2023, 2023 | 4 | 2023 |
| 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 | 1 | 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 | 1 | 2024 |
| Discovering Interpretable Latent Space Directions for 3D-Aware Image Generation Z Yang, Q Zhang IEEE Transactions on Emerging Topics in Computational Intelligence, 2024 | | 2024 |
| Towards Modeling 3D Dense Shape Correspondence from Category-Specific Multi-View Images Z Yang, Q Zhang ICIP 2023, 2023 | | 2023 |
| EigenGRF: Layer-Wise Eigen-Learning for Controllable Generative Radiance Fields Z Yang, Q Zhang ICONIP 2022, 2022 | | 2022 |
Qingfu ZhangChair Professor, FIEEE, City University of Hong KongVerified email at cityu.edu.hk
