Ke Xue

60 papers A* 22A 2Journal 33Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Advancing Automated Algorithm Design via Evolutionary Stagewise Design with LLMs.
CoRR
Chen Lu, Ke Xue, Chengrui Gao, Yunqi Shi, Siyuan Xu, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou
2026 J jnl
Diversity from human feedback.
Frontiers Comput. Sci.
Ren-Jian Wang, Ke Xue, Yutong Wang, Peng Yang, Haobo Fu, Qiang Fu, Chao Qian
2026 J jnl
On the Learnability of Offline Model-Based Optimization: A Ranking Perspective.
CoRR
Shen-Huan Lyu, Rong-Xi Tan, Ke Xue, Yi-Xiao He, Yu Huang, Qingfu Zhang, Chao Qian
2025 J jnl
BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement.
CoRR
Ke Xue, Ruo-Tong Chen, Rong-Xi Tan, Xi Lin, Yunqi Shi, Siyuan Xu, Mingxuan Yuan, Chao Qian
2025 J jnl
Beyond Token-level Supervision: Unlocking the Potential of Decoding-based Regression via Reinforcement Learning.
CoRR
Ming Chen, Sheng Tang, Rong-Xi Tan, Ziniu Li, Jiacheng Chen, Ke Xue, Chao Qian
2025 J jnl
Heterogeneous Multiagent Zero-Shot Coordination by Coevolution.
IEEE Trans. Evol. Comput.
Ke Xue, Yutong Wang, Cong Guan, Lei Yuan, Haobo Fu, Qiang Fu, Chao Qian, Yang Yu
2025 — conf
Hot off the Press: Quality-Diversity Algorithms Can Provably Be Helpful for Optimization.
GECCO Companion
Chao Qian, Ke Xue, Ren-Jian Wang
2025 — conf
MGDA/D: A Multiple Gradient Descent Algorithm Based on Decomposition.
GECCO Companion
Yawen Zhou, Ke Xue, Chao Qian
2025 A* conf
Neural Solver Selection for Combinatorial Optimization.
ICML
Chengrui Gao, Haopu Shang, Ke Xue, Chao Qian
2025 A* conf
Offline Model-Based Optimization by Learning to Rank.
ICLR
Rong-Xi Tan, Ke Xue, Shen-Huan Lyu, Haopu Shang, Yao Wang, Yaoyuan Wang, Sheng Fu, Chao Qian
2025 J jnl
Open and real-world human-AI coordination by heterogeneous training with communication.
Frontiers Comput. Sci.
Cong Guan, Ke Xue, Chunpeng Fan, Feng Chen, Lichao Zhang, Lei Yuan, Chao Qian, Yang Yu
2025 J jnl
Open3DBench: Open-Source Benchmark for 3D-IC Backend Implementation and PPA Evaluation.
CoRR
Yunqi Shi, Chengrui Gao, Wanqi Ren, Siyuan Xu, Ke Xue, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou
2025 A* conf
Pareto Set Learning for Multi-Objective Reinforcement Learning.
AAAI
Erlong Liu, Yu-Chang Wu, Xiaobin Huang, Chengrui Gao, Ren-Jian Wang, Ke Xue, Chao Qian
2025 J jnl
Pareto Set Learning for Multi-Objective Reinforcement Learning.
CoRR
Erlong Liu, Yu-Chang Wu, Xiaobin Huang, Chengrui Gao, Ren-Jian Wang, Ke Xue, Chao Qian
2025 J jnl
Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models.
CoRR
Ren-Jian Wang, Ke Xue, Zeyu Qin, Ziniu Li, Sheng Tang, Hao-Tian Li, Shengcai Liu, Chao Qian
2025 J jnl
Re
CoRR
Yunqi Shi, Xi Lin, Zhiang Wang, Siyuan Xu, Shixiong Kai, Yao Lai, Chengrui Gao, Ke Xue, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou
2025 A* conf
ReMaP: Macro Placement by Recursively Prototyping and Periphery-Guided Relocating.
DAC
Yunqi Shi, Xi Lin, Siyuan Xu, Shixiong Kai, Ke Xue, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou
2025 A* conf
Reinforced In-Context Black-Box Optimization.
IJCAI
Lei Song, Chen-Xiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian
2025 J jnl
Sequential Multi-Agent Dynamic Algorithm Configuration.
CoRR
Chen Lu, Ke Xue, Lei Yuan, Yao Wang, Yaoyuan Wang, Sheng Fu, Chao Qian
2025 A conf
Timing-Driven Global Placement by Efficient Critical Path Extraction.
DATE
Yunqi Shi, Siyuan Xu, Shixiong Kai, Xi Lin, Ke Xue, Mingxuan Yuan, Chao Qian
2025 J jnl
Timing-Driven Global Placement by Efficient Critical Path Extraction.
CoRR
Yunqi Shi, Siyuan Xu, Shixiong Kai, Xi Lin, Ke Xue, Mingxuan Yuan, Chao Qian
2025 A* conf
Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings.
ICML
Rong-Xi Tan, Ming Chen, Ke Xue, Yao Wang, Yaoyuan Wang, Sheng Fu, Chao Qian
2025 J jnl
Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings.
CoRR
Rong-Xi Tan, Ming Chen, Ke Xue, Yao Wang, Yaoyuan Wang, Sheng Fu, Chao Qian
2024 J jnl
Escaping Local Optima in Global Placement.
CoRR
Ke Xue, Xi Lin, Yunqi Shi, Shixiong Kai, Siyuan Xu, Chao Qian
2024 A* conf
Monte Carlo Tree Search based Space Transfer for Black Box Optimization.
NeurIPS
Shukuan Wang, Ke Xue, Lei Song, Xiaobin Huang, Chao Qian
2024 J jnl
Monte Carlo Tree Search based Space Transfer for Black-box Optimization.
CoRR
Shukuan Wang, Ke Xue, Lei Song, Xiaobin Huang, Chao Qian
2024 J jnl
Neural Solver Selection for Combinatorial Optimization.
CoRR
Chengrui Gao, Haopu Shang, Ke Xue, Chao Qian
2024 J jnl
Offline Model-Based Optimization by Learning to Rank.
CoRR
Rong-Xi Tan, Ke Xue, Shen-Huan Lyu, Haopu Shang, Yao Wang, Yaoyuan Wang, Sheng Fu, Chao Qian
2024 A* conf
Offline Multi-Objective Optimization.
ICML
Ke Xue, Rong-Xi Tan, Xiaobin Huang, Chao Qian
2024 J jnl
Offline Multi-Objective Optimization.
CoRR
Ke Xue, Rong-Xi Tan, Xiaobin Huang, Chao Qian
2024 J jnl
One by One, Continual Coordinating with Humans via Hyper-Teammate Identification.
Trans. Mach. Learn. Res.
Cong Guan, Feng Chen, Ke Xue, Chunpeng Fan, Lichao Zhang, Ziqian Zhang, Pengyao Zhao, Zongzhang Zhang, Chao Qian, Lei Yuan, Yang Yu
2024 A* conf
Quality-Diversity Algorithms Can Provably Be Helpful for Optimization.
IJCAI
Chao Qian, Ke Xue, Ren-Jian Wang
2024 J jnl
Quality-Diversity Algorithms Can Provably Be Helpful for Optimization.
CoRR
Chao Qian, Ke Xue, Ren-Jian Wang
2024 A* conf
Quality-Diversity with Limited Resources.
ICML
Ren-Jian Wang, Ke Xue, Cong Guan, Chao Qian
2024 J jnl
Quality-Diversity with Limited Resources.
CoRR
Ren-Jian Wang, Ke Xue, Cong Guan, Chao Qian
2024 J jnl
Reinforced In-Context Black-Box Optimization.
CoRR
Lei Song, Chenxiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian
2024 A* conf
Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer.
NeurIPS
Ke Xue, Ruo-Tong Chen, Xi Lin, Yunqi Shi, Shixiong Kai, Siyuan Xu, Chao Qian
2024 J jnl
Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer.
CoRR
Ke Xue, Ruo-Tong Chen, Xi Lin, Yunqi Shi, Shixiong Kai, Siyuan Xu, Chao Qian
2024 A* conf
Sample-Efficient Quality-Diversity by Cooperative Coevolution.
ICLR
Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye Hao, Chao Qian
2024 A* conf
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation.
AAAI
Xiaobin Huang, Lei Song, Ke Xue, Chao Qian
2024 A* conf
Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy.
IJCAI
Chengrui Gao, Haopu Shang, Ke Xue, Dong Li, Chao Qian
2023 J jnl
Diversity from Human Feedback.
CoRR
Ren-Jian Wang, Ke Xue, Yutong Wang, Peng Yang, Haobo Fu, Qiang Fu, Chao Qian
2023 A conf
Fast Teammate Adaptation in the Presence of Sudden Policy Change.
UAI
Ziqian Zhang, Lei Yuan, Lihe Li, Ke Xue, Chengxing Jia, Cong Guan, Chao Qian, Yang Yu
2023 J jnl
Fast Teammate Adaptation in the Presence of Sudden Policy Change.
CoRR
Ziqian Zhang, Lei Yuan, Lihe Li, Ke Xue, Chengxing Jia, Cong Guan, Chao Qian, Yang Yu
2023 A* conf
Macro Placement by Wire-Mask-Guided Black-Box Optimization.
NeurIPS
Yunqi Shi, Ke Xue, Song Lei, Chao Qian
2023 J jnl
Macro Placement by Wire-Mask-Guided Black-Box Optimization.
CoRR
Yunqi Shi, Ke Xue, Lei Song, Chao Qian
2023 A* conf
Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting.
IJCAI
Ren-Jian Wang, Ke Xue, Haopu Shang, Chao Qian, Haobo Fu, Qiang Fu
2023 A* conf
Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers.
AAAI
Lei Yuan, Ziqian Zhang, Ke Xue, Hao Yin, Feng Chen, Cong Guan, Lihe Li, Chao Qian, Yang Yu
2023 J jnl
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers.
CoRR
Lei Yuan, Ziqian Zhang, Ke Xue, Hao Yin, Feng Chen, Cong Guan, Lihe Li, Chao Qian, Yang Yu
2023 J jnl
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation.
CoRR
Xiaobin Huang, Lei Song, Ke Xue, Chao Qian
2023 J jnl
Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy.
CoRR
Chengrui Gao, Haopu Shang, Ke Xue, Dong Li, Chao Qian
2022 A* conf
Evolutionary Diversity Optimization with Clustering-based Selection for Reinforcement Learning.
ICLR
Yutong Wang, Ke Xue, Chao Qian
2022 J jnl
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution.
CoRR
Ke Xue, Yutong Wang, Lei Yuan, Cong Guan, Chao Qian, Yang Yu
2022 A* conf
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization.
NeurIPS
Lei Song, Ke Xue, Xiaobin Huang, Chao Qian
2022 J jnl
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization.
CoRR
Lei Song, Ke Xue, Xiaobin Huang, Chao Qian
2022 A* conf
Multi-agent Dynamic Algorithm Configuration.
NeurIPS
Ke Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, Yang Yu
2022 J jnl
Multi-agent Dynamic Algorithm Configuration.
CoRR
Ke Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, Yang Yu
2021 A* conf
Evolutionary Gradient Descent for Non-convex Optimization.
IJCAI
Ke Xue, Chao Qian, Ling Xu, Xudong Fei
2020 A* conf
Bayesian Optimization using Pseudo-Points.
IJCAI
Chao Qian, Hang Xiong, Ke Xue
2018 — conf
Metastatic breast cancer: characterization of axillary sentinel lymph node (SLN) on the preoperative spectral CT.
IWBI
Rutong Zeng, Sitao Zhang, Xiang Zhang, Chushan Zheng, Jialun Zhang, Ke Xue, Jun Wei, Yao Lu, Jun Shen