Xue, Ke

26 publications

ICML 2025 Neural Solver Selection for Combinatorial Optimization Chengrui Gao, Haopu Shang, Ke Xue, Chao Qian

ICLR 2025 Offline Model-Based Optimization by Learning to Rank Rong-Xi Tan, Ke Xue, Shen-Huan Lyu, Haopu Shang, Yaowang, Yaoyuan Wang, Fu Sheng, Chao Qian

AAAI 2025 Pareto Set Learning for Multi-Objective Reinforcement Learning Erlong Liu, Yu-Chang Wu, Xiaobin Huang, Chengrui Gao, Ren-Jian Wang, Ke Xue, Chao Qian

IJCAI 2025 Reinforced In-Context Black-Box Optimization Lei Song, Chen-Xiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian

NeurIPS 2025 Sequential Multi-Agent Dynamic Algorithm Configuration Chen Lu, Ke Xue, Lei Yuan, Yao Wang, Yaoyuan Wang, Fu Sheng, Chao Qian

ICML 2025 Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings Rong-Xi Tan, Ming Chen, Ke Xue, Yao Wang, Yaoyuan Wang, Fu Sheng, Chao Qian

ICLRW 2025 Towards Universal Offline Black-Box Optimization via Learning String Embedding Space Rong-Xi Tan, Ming Chen, Ke Xue, Yao Wang, Yaoyuan Wang, Fu Sheng, Chao Qian

NeurIPS 2024 Monte Carlo Tree Search Based Space Transfer for Black Box Optimization Shukuan Wang, Ke Xue, Lei Song, Xiaobin Huang, Chao Qian

ICML 2024 Offline Multi-Objective Optimization Ke Xue, Rongxi Tan, Xiaobin Huang, Chao Qian

TMLR 2024 One by One, Continual Coordinating with Humans via Hyper-Teammate Identification Cong Guan, Feng Chen, Ke Xue, Chunpeng Fan, Lichao Zhang, Ziqian Zhang, Pengyao Zhao, Zongzhang Zhang, Chao Qian, Lei Yuan, Yang Yu

IJCAI 2024 Quality-Diversity Algorithms Can Provably Be Helpful for Optimization Chao Qian, Ke Xue, Ren-Jian Wang

ICML 2024 Quality-Diversity with Limited Resources Ren-Jian Wang, Ke Xue, Cong Guan, Chao Qian

NeurIPS 2024 Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer Ke Xue, Ruo-Tong Chen, Xi Lin, Yunqi Shi, Shixiong Kai, Siyuan Xu, Chao Qian

ICLR 2024 Sample-Efficient Quality-Diversity by Cooperative Coevolution Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye Hao, Chao Qian

AAAI 2024 Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation Xiaobin Huang, Lei Song, Ke Xue, Chao Qian

IJCAI 2024 Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy Chengrui Gao, Haopu Shang, Ke Xue, Dong Li, Chao Qian

NeurIPSW 2023 Diversity from Human Feedback Ren-Jian Wang, Ke Xue, Yutong Wang, Peng Yang, Haobo Fu, Qiang Fu, Chao Qian

UAI 2023 Fast Teammate Adaptation in the Presence of Sudden Policy Change Ziqian Zhang, Lei Yuan, Lihe Li, Ke Xue, Chengxing Jia, Cong Guan, Chao Qian, Yang Yu

NeurIPS 2023 Macro Placement by Wire-Mask-Guided Black-Box Optimization Yunqi Shi, Ke Xue, Song Lei, Chao Qian

IJCAI 2023 Multi-Objective Optimization-Based Selection for Quality-Diversity by Non-Surrounded-Dominated Sorting Ren-Jian Wang, Ke Xue, Haopu Shang, Chao Qian, Haobo Fu, Qiang Fu

AAAI 2023 Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers Lei Yuan, Ziqian Zhang, Ke Xue, Hao Yin, Feng Chen, Cong Guan, Lihe Li, Chao Qian, Yang Yu

ICLR 2022 Evolutionary Diversity Optimization with Clustering-Based Selection for Reinforcement Learning Yutong Wang, Ke Xue, Chao Qian

NeurIPS 2022 Monte Carlo Tree Search Based Variable Selection for High Dimensional Bayesian Optimization Lei Song, Ke Xue, Xiaobin Huang, Chao Qian

NeurIPS 2022 Multi-Agent Dynamic Algorithm Configuration Ke Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, Yang Yu

IJCAI 2021 Evolutionary Gradient Descent for Non-Convex Optimization Ke Xue, Chao Qian, Ling Xu, Xudong Fei

IJCAI 2020 Bayesian Optimization Using Pseudo-Points Chao Qian, Hang Xiong, Ke Xue