| Evolutionary Diversity Optimization with Clustering-based Selection for Reinforcement Learning Y Wang, K Xue, C Qian ICLR 2022, 2022 | 23 | 2022 |
| Multi-agent Dynamic Algorithm Configuration K Xue, J Xu, L Yuan, M Li, C Qian, Z Zhang, Y Yu NeurIPS 2022, 2022 | 20 | 2022 |
| Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization L Song, K Xue, X Huang, C Qian NeurIPS 2022, 2022 | 15 | 2022 |
| Heterogeneous multi-agent zero-shot coordination by coevolution K Xue, Y Wang, L Yuan, C Guan, C Qian, Y Yu arXiv preprint arXiv:2208.04957, 2022 | 8 | 2022 |
| Evolutionary Gradient Descent for Non-convex Optimization. K Xue, C Qian, L Xu, X Fei IJCAI 2021, 2021 | 8 | 2021 |
| Bayesian optimization using pseudo-points C Qian, H Xiong, K Xue IJCAI 2020, 2020 | 8 | 2020 |
| Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers L Yuan, Z Zhang, K Xue, H Yin, F Chen, C Guan, L Li, C Qian, Y Yu AAAI 2023, 2023 | 7 | 2023 |
| Towards generalizable neural solvers for vehicle routing problems via ensemble with transferrable local policy C Gao, H Shang, K Xue, D Li, C Qian IJCAI 2024, 2023 | 4 | 2023 |
| Fast Teammate Adaptation in the Presence of Sudden Policy Change Z Zhang, L Yuan, L Li, K Xue, C Jia, C Guan, C Qian, Y Yu UAI 2023, 2023 | 3 | 2023 |
| Sample-efficient quality-diversity by cooperative coevolution K Xue, RJ Wang, P Li, D Li, HAO Jianye, C Qian ICLR 2024, 2023 | 2 | 2023 |
| Macro Placement by Wire-Mask-Guided Black-Box Optimization Y Shi, K Xue, L Song, C Qian NeurIPS 2023, 2023 | 2 | 2023 |
| Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting RJ Wang, K Xue, H Shang, C Qian, H Fu, Q Fu IJCAI 2023, 2023 | 2 | 2023 |
| Quality-Diversity Algorithms Can Provably Be Helpful for Optimization C Qian, K Xue, RJ Wang IJCAI 2024, 2024 | 1 | 2024 |
| Diversity from human feedback RJ Wang, K Xue, Y Wang, P Yang, H Fu, Q Fu, C Qian NeurIPS 2023 ALOE Workshop, 2023 | 1 | 2023 |
| Stochastic Bayesian optimization with unknown continuous context distribution via kernel density estimation X Huang, L Song, K Xue, C Qian AAAI 2024, 2024 | | 2024 |
| Escaping Local Optima in Global Placement K Xue, X Lin, Y Shi, S Kai, S Xu, C Qian DAC 2024 Work-In-Progress Poster, 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 |
| One by One, Continual Coordinating with Humans via Hyper-Teammate Identification C Guan, F Chen, K Xue, C Fan, L Zhang, Z Zhang, P Zhao, Z Zhang, ... | | |
Chao QianNanjing UniversityПотвърден имейл адрес: nju.edu.cn
