| Multi-class imbalance problem: A multi-objective solution YX He, DX Liu, SH Lyu, C Qian, ZH Zhou Information Sciences 680, 121156, 2024 | | 2024 |
| Many-to-Few Decomposition: Linking R2-Based and Decomposition-Based Multiobjective Efficient Global Optimization Algorithms L Zhao, X Huang, C Qian, Q Zhang IEEE Transactions on Evolutionary Computation, 2024 | | 2024 |
| Effective and imperceptible adversarial textual attack via multi-objectivization S Liu, N Lu, W Hong, C Qian, K Tang ACM Transactions on Evolutionary Learning and Optimization 4 (3), 1-23, 2024 | 13 | 2024 |
| Instance-Label Based Multi-Label Active Learning by Evolutionary Multi-Objective Optimization Y Zhou, H Shang, YC Wu, C Qian Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2024 | | 2024 |
| Runtime Analysis of Population-based Evolutionary Neural Architecture Search for a Binary Classification Problem Z Lv, C Bian, C Qian, Y Sun Proceedings of the Genetic and Evolutionary Computation Conference, 358-366, 2024 | | 2024 |
| A First Running Time Analysis of the Strength Pareto Evolutionary Algorithm 2 (SPEA2) S Ren, C Bian, M Li, C Qian arXiv preprint arXiv:2406.16116, 2024 | | 2024 |
| Biased Pareto Optimization for Subset Selection with Dynamic Cost Constraints DX Liu, C Qian arXiv preprint arXiv:2406.12383, 2024 | | 2024 |
| Detection-Rate-Emphasized Multi-objective Evolutionary Feature Selection for Network Intrusion Detection ZH Cheng, H Shang, C Qian arXiv preprint arXiv:2406.09180, 2024 | | 2024 |
| Peptide Vaccine Design by Evolutionary Multi-Objective Optimization DX Liu, YH Xu, C Qian arXiv preprint arXiv:2406.05743, 2024 | | 2024 |
| Confidence-aware Contrastive Learning for Selective Classification YC Wu, SH Lyu, H Shang, X Wang, C Qian arXiv preprint arXiv:2406.04745, 2024 | | 2024 |
| Offline Multi-Objective Optimization K Xue, RX Tan, X Huang, C Qian arXiv preprint arXiv:2406.03722, 2024 | | 2024 |
| Quality-Diversity with Limited Resources RJ Wang, K Xue, C Guan, C Qian arXiv preprint arXiv:2406.03731, 2024 | | 2024 |
| Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization S Ren, Z Qiu, C Bian, M Li, C Qian arXiv preprint arXiv:2406.02658, 2024 | 1 | 2024 |
| An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms C Bian, S Ren, M Li, C Qian arXiv preprint arXiv:2406.02118, 2024 | 2 | 2024 |
| Margin distribution and structural diversity guided ensemble pruning YX He, YC Wu, C Qian, ZH Zhou Machine Learning 113 (6), 3545-3567, 2024 | 4 | 2024 |
| Analyzing the Expected Hitting Time of Evolutionary Computation-Based Neural Architecture Search Algorithms Z Lv, C Qian, GG Yen, Y Sun IEEE Transactions on Emerging Topics in Computational Intelligence, 2024 | | 2024 |
| Stochastic Bayesian optimization with unknown continuous context distribution via kernel density estimation X Huang, L Song, K Xue, C Qian Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12635 …, 2024 | | 2024 |
| Towards running time analysis of interactive multi-objective evolutionary algorithms T Lu, C Bian, C Qian Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 20777 …, 2024 | 4 | 2024 |
| Escaping Local Optima in Global Placement K Xue, X Lin, Y Shi, S Kai, S Xu, C Qian arXiv preprint arXiv:2402.18311, 2024 | | 2024 |
| Reinforced In-Context Black-Box Optimization L Song, C Gao, K Xue, C Wu, D Li, J Hao, Z Zhang, C Qian arXiv preprint arXiv:2402.17423, 2024 | | 2024 |