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ORCIDKe Xue 0001
- > Home > Persons > Ke Xue 0001
Publications
- 2025
[j2]Cong Guan, Ke Xue, Chunpeng Fan, Feng Chen, Lichao Zhang, Lei Yuan, Chao Qian, Yang Yu:
Open and real-world human-AI coordination by heterogeneous training with communication. Frontiers Comput. Sci. 19(4): 194314 (2025)- [c21]Erlong Liu, Yu-Chang Wu, Xiaobin Huang, Chengrui Gao, Ren-Jian Wang, Ke Xue, Chao Qian:
Pareto Set Learning for Multi-Objective Reinforcement Learning. AAAI 2025: 18789-18797 - [c20]Yunqi Shi, Siyuan Xu, Shixiong Kai, Xi Lin, Ke Xue, Mingxuan Yuan, Chao Qian:
Timing-Driven Global Placement by Efficient Critical Path Extraction. DATE 2025: 1-7 - [c19]Rong-Xi Tan, Ke Xue, Shen-Huan Lyu, Haopu Shang, Yao Wang, Yaoyuan Wang, Sheng Fu, Chao Qian:
Offline Model-Based Optimization by Learning to Rank. ICLR 2025 - [i23]Erlong Liu, Yu-Chang Wu, Xiaobin Huang, Chengrui Gao, Ren-Jian Wang, Ke Xue, Chao Qian:
Pareto Set Learning for Multi-Objective Reinforcement Learning. CoRR abs/2501.06773 (2025) - [i22]Yunqi Shi, Siyuan Xu, Shixiong Kai, Xi Lin, Ke Xue, Mingxuan Yuan, Chao Qian:
Timing-Driven Global Placement by Efficient Critical Path Extraction. CoRR abs/2503.11674 (2025) - [i21]Yunqi Shi, Chengrui Gao, Wanqi Ren, Siyuan Xu, Ke Xue, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou:
Open3DBench: Open-Source Benchmark for 3D-IC Backend Implementation and PPA Evaluation. CoRR abs/2503.12946 (2025) - [i20]Rong-Xi Tan, Ming Chen, Ke Xue, Yao Wang, Yaoyuan Wang, Sheng Fu, Chao Qian:
Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings. CoRR abs/2506.07109 (2025) - [i19]Ren-Jian Wang, Ke Xue, Zeyu Qin, Ziniu Li, Sheng Tang, Hao-Tian Li, Shengcai Liu, Chao Qian:
Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models. CoRR abs/2506.07121 (2025) - 2024
- [j1]Cong Guan, Feng Chen, Ke Xue, Chunpeng Fan, Lichao Zhang, Ziqian Zhang, Pengyao Zhao, Zongzhang Zhang, Chao Qian, Lei Yuan, Yang Yu:
One by One, Continual Coordinating with Humans via Hyper-Teammate Identification. Trans. Mach. Learn. Res. 2024 (2024) - [c18]Xiaobin Huang, Lei Song, Ke Xue, Chao Qian:
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation. AAAI 2024: 12635-12643 - [c17]Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye Hao, Chao Qian:
Sample-Efficient Quality-Diversity by Cooperative Coevolution. ICLR 2024 - [c16]Ke Xue, Rong-Xi Tan, Xiaobin Huang, Chao Qian:
Offline Multi-Objective Optimization. ICML 2024 - [c15]Ren-Jian Wang, Ke Xue, Cong Guan, Chao Qian:
Quality-Diversity with Limited Resources. ICML 2024 - [c14]Chengrui Gao, Haopu Shang, Ke Xue, Dong Li, Chao Qian:
Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy. IJCAI 2024: 6914-6922 - [c13]Chao Qian, Ke Xue, Ren-Jian Wang:
Quality-Diversity Algorithms Can Provably Be Helpful for Optimization. IJCAI 2024: 6994-7002 - [c12]Ke Xue, Ruo-Tong Chen, Xi Lin, Yunqi Shi, Shixiong Kai, Siyuan Xu, Chao Qian:
Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer. NeurIPS 2024 - [c11]Shukuan Wang, Ke Xue, Song Lei, Xiaobin Huang, Chao Qian:
Monte Carlo Tree Search based Space Transfer for Black Box Optimization. NeurIPS 2024 - [i18]Chao Qian, Ke Xue, Ren-Jian Wang
:
Quality-Diversity Algorithms Can Provably Be Helpful for Optimization. CoRR abs/2401.10539 (2024) - [i17]Lei Song, Chenxiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian:
Reinforced In-Context Black-Box Optimization. CoRR abs/2402.17423 (2024) - [i16]Ke Xue, Xi Lin, Yunqi Shi, Shixiong Kai, Siyuan Xu, Chao Qian:
Escaping Local Optima in Global Placement. CoRR abs/2402.18311 (2024) - [i15]Ke Xue, Rong-Xi Tan, Xiaobin Huang, Chao Qian:
Offline Multi-Objective Optimization. CoRR abs/2406.03722 (2024) - [i14]Ren-Jian Wang, Ke Xue, Cong Guan, Chao Qian:
Quality-Diversity with Limited Resources. CoRR abs/2406.03731 (2024) - [i13]Chengrui Gao, Haopu Shang, Ke Xue, Chao Qian:
Neural Solver Selection for Combinatorial Optimization. CoRR abs/2410.09693 (2024) - [i12]Rong-Xi Tan, Ke Xue, Shen-Huan Lyu, Haopu Shang, Yao Wang, Yaoyuan Wang, Sheng Fu, Chao Qian:
Offline Model-Based Optimization by Learning to Rank. CoRR abs/2410.11502 (2024) - [i11]Ke Xue, Ruo-Tong Chen, Xi Lin, Yunqi Shi, Shixiong Kai, Siyuan Xu, Chao Qian:
Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer. CoRR abs/2412.07167 (2024) - [i10]Shukuan Wang, Ke Xue, Lei Song, Xiaobin Huang, Chao Qian:
Monte Carlo Tree Search based Space Transfer for Black-box Optimization. CoRR abs/2412.07186 (2024) - 2023
- [c10]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: 11753-11762 - [c9]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: 4335-4343 - [c8]Yunqi Shi, Ke Xue, Song Lei, Chao Qian:
Macro Placement by Wire-Mask-Guided Black-Box Optimization. NeurIPS 2023 - [c7]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: 2465-2476 - [i9]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 abs/2305.05909 (2023) - [i8]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 abs/2305.05911 (2023) - [i7]Yunqi Shi, Ke Xue, Lei Song, Chao Qian:
Macro Placement by Wire-Mask-Guided Black-Box Optimization. CoRR abs/2306.16844 (2023) - [i6]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 abs/2308.14104 (2023) - [i5]Ren-Jian Wang, Ke Xue, Yutong Wang, Peng Yang, Haobo Fu, Qiang Fu, Chao Qian:
Diversity from Human Feedback. CoRR abs/2310.06648 (2023) - [i4]Xiaobin Huang, Lei Song, Ke Xue, Chao Qian:
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation. CoRR abs/2312.10423 (2023) - 2022
- [c6]Yutong Wang, Ke Xue, Chao Qian:
Evolutionary Diversity Optimization with Clustering-based Selection for Reinforcement Learning. ICLR 2022 - [c5]Ke Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, Yang Yu:
Multi-agent Dynamic Algorithm Configuration. NeurIPS 2022 - [c4]Lei Song, Ke Xue, Xiaobin Huang, Chao Qian:
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization. NeurIPS 2022 - [i3]Ke Xue, Yutong Wang, Lei Yuan, Cong Guan, Chao Qian, Yang Yu:
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution. CoRR abs/2208.04957 (2022) - [i2]Lei Song, Ke Xue, Xiaobin Huang, Chao Qian:
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization. CoRR abs/2210.01628 (2022) - [i1]Ke Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, Yang Yu:
Multi-agent Dynamic Algorithm Configuration. CoRR abs/2210.06835 (2022) - 2021
- [c3]Ke Xue, Chao Qian, Ling Xu, Xudong Fei:
Evolutionary Gradient Descent for Non-convex Optimization. IJCAI 2021: 3221-3227 - 2020
- [c2]Chao Qian, Hang Xiong, Ke Xue:
Bayesian Optimization using Pseudo-Points. IJCAI 2020: 3044-3050
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