Ke Xue

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Monte Carlo Tree Search

Cooperative Coevolution

Density Estimation

Sparsity Inducing

Top Venues

Publications

Ren-Jian Wang, Ke Xue, Cong Guan, Chao Qian
Quality-Diversity with Limited Resources. CoRR (2024)
Chao Qian, Ke Xue, Ren-Jian Wang
Quality-Diversity Algorithms Can Provably Be Helpful for Optimization. CoRR (2024)
Lei Song, Chenxiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian
Reinforced In-Context Black-Box Optimization. CoRR (2024)
Ke Xue, Xi Lin, Yunqi Shi, Shixiong Kai, Siyuan Xu, Chao Qian
Escaping Local Optima in Global Placement. CoRR (2024)
Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye Hao, Chao Qian
Sample-Efficient Quality-Diversity by Cooperative Coevolution. ICLR (2024)
Ke Xue, Rong-Xi Tan, Xiaobin Huang, Chao Qian
Offline Multi-Objective Optimization. CoRR (2024)
Xiaobin Huang, Lei Song, Ke Xue, Chao Qian
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation. AAAI (2024)
Yunqi Shi, Ke Xue, Song Lei, Chao Qian
Macro Placement by Wire-Mask-Guided Black-Box Optimization. NeurIPS (2023)
Chengrui Gao, Haopu Shang, Ke Xue, Dong Li, Chao Qian
Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy. CoRR (2023)
Lei Yuan, Ziqian Zhang, Ke Xue, Hao Yin, Feng Chen, Cong Guan, Lihe Li, Chao Qian, Yang Yu
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers. CoRR (2023)
Xiaobin Huang, Lei Song, Ke Xue, Chao Qian
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation. CoRR (2023)
Ziqian Zhang, Lei Yuan, Lihe Li, Ke Xue, Chengxing Jia, Cong Guan, Chao Qian, Yang Yu
Fast Teammate Adaptation in the Presence of Sudden Policy Change. CoRR (2023)
Ziqian Zhang, Lei Yuan, Lihe Li, Ke Xue, Chengxing Jia, Cong Guan, Chao Qian, Yang Yu
Fast Teammate Adaptation in the Presence of Sudden Policy Change. UAI (2023)
Lei Yuan, Ziqian Zhang, Ke Xue, Hao Yin, Feng Chen, Cong Guan, Lihe Li, Chao Qian, Yang Yu
Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers. AAAI (2023)
Ren-Jian Wang, Ke Xue, Haopu Shang, Chao Qian, Haobo Fu, Qiang Fu
Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting. IJCAI (2023)
Ren-Jian Wang, Ke Xue, Yutong Wang, Peng Yang, Haobo Fu, Qiang Fu, Chao Qian
Diversity from Human Feedback. CoRR (2023)
Yunqi Shi, Ke Xue, Lei Song, Chao Qian
Macro Placement by Wire-Mask-Guided Black-Box Optimization. CoRR (2023)
Lei Song, Ke Xue, Xiaobin Huang, Chao Qian
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization. CoRR (2022)
Yutong Wang, Ke Xue, Chao Qian
Evolutionary Diversity Optimization with Clustering-based Selection for Reinforcement Learning. ICLR (2022)
Lei Song, Ke Xue, Xiaobin Huang, Chao Qian
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization. NeurIPS (2022)
Ke Xue, Yutong Wang, Lei Yuan, Cong Guan, Chao Qian, Yang Yu
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution. CoRR (2022)
Ke Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, Yang Yu
Multi-agent Dynamic Algorithm Configuration. CoRR (2022)
Ke Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, Yang Yu
Multi-agent Dynamic Algorithm Configuration. NeurIPS (2022)
Ke Xue, Chao Qian, Ling Xu, Xudong Fei
Evolutionary Gradient Descent for Non-convex Optimization. IJCAI (2021)
Chao Qian, Hang Xiong, Ke Xue
Bayesian Optimization using Pseudo-Points. IJCAI (2020)
Rutong Zeng, Sitao Zhang, Xiang Zhang, Chushan Zheng, Jialun Zhang, Ke Xue, Jun Wei, Yao Lu, Jun Shen
Metastatic breast cancer: characterization of axillary sentinel lymph node (SLN) on the preoperative spectral CT. IWBI (2018)