Ke Xue

According to our database, Ke Xue authored at least 23 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Offline Model-Based Optimization by Learning to Rank.

Rong-Xi Tan, Ke Xue, Shen-Huan Lyu, Haopu Shang, Yao Wang, Yaoyuan Wang, Sheng Fu, Chao Qian

CoRR, 2024

Neural Solver Selection for Combinatorial Optimization.

Chengrui Gao, Haopu Shang, Ke Xue, Chao Qian

CoRR, 2024

Escaping Local Optima in Global Placement.

Ke Xue, Xi Lin, Yunqi Shi, Shixiong Kai, Siyuan Xu, Chao Qian

CoRR, 2024

Reinforced In-Context Black-Box Optimization.

Lei Song, Chenxiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian

CoRR, 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

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Quality-Diversity Algorithms Can Provably Be Helpful for Optimization.

Chao Qian, Ke Xue, Ren-Jian Wang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Quality-Diversity with Limited Resources.

Ren-Jian Wang, Ke Xue, Cong Guan, Chao Qian

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Offline Multi-Objective Optimization.

Ke Xue, Rong-Xi Tan, Xiaobin Huang, Chao Qian

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Sample-Efficient Quality-Diversity by Cooperative Coevolution.

Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye Hao, Chao Qian

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation.

Xiaobin Huang, Lei Song, Ke Xue, Chao Qian

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Diversity from Human Feedback.

Ren-Jian Wang, Ke Xue, Yutong Wang, Peng Yang, Haobo Fu, Qiang Fu, Chao Qian

CoRR, 2023

Macro Placement by Wire-Mask-Guided Black-Box Optimization.

Yunqi Shi, Ke Xue, Lei Song, Chao Qian

CoRR, 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

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Macro Placement by Wire-Mask-Guided Black-Box Optimization.

Yunqi Shi, Ke Xue, Song Lei, Chao Qian

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution.

Ke Xue, Yutong Wang, Lei Yuan, Cong Guan, Chao Qian, Yang Yu

CoRR, 2022

Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization.

Lei Song, Ke Xue, Xiaobin Huang, Chao Qian

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-agent Dynamic Algorithm Configuration.

Ke Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, Yang Yu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Evolutionary Diversity Optimization with Clustering-based Selection for Reinforcement Learning.

Yutong Wang, Ke Xue, Chao Qian

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Evolutionary Gradient Descent for Non-convex Optimization.

Ke Xue, Chao Qian, Ling Xu, Xudong Fei

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Bayesian Optimization using Pseudo-Points.

Chao Qian, Hang Xiong, Ke Xue

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2018

Metastatic breast cancer: characterization of axillary sentinel lymph node (SLN) on the preoperative spectral CT.

Rutong Zeng, Sitao Zhang, Xiang Zhang, Chushan Zheng, Jialun Zhang, Ke Xue, Jun Wei, Yao Lu, Jun Shen

Proceedings of the 14th International Workshop on Breast Imaging, 2018