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 001; Jun Wei 002; Yao Lu 007; Jun Shen (IWBI, 2018)

Bayesian Optimization using Pseudo-Points. - Chao Qian 001; Hang Xiong; Ke Xue 001 (IJCAI, 2020)

Evolutionary Gradient Descent for Non-convex Optimization. - Ke Xue 001; Chao Qian 001; Ling Xu; Xudong Fei (IJCAI, 2021)

Evolutionary Diversity Optimization with Clustering-based Selection for Reinforcement Learning. - Yutong Wang; Ke Xue 001; Chao Qian 001 (ICLR, 2022)

Multi-agent Dynamic Algorithm Configuration. - Ke Xue 001; Jiacheng Xu 003; Lei Yuan 005; Miqing Li; Chao Qian 001; Zongzhang Zhang; Yang Yu 001 (NeurIPS, 2022)

Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization. - Lei Song; Ke Xue 001; Xiaobin Huang; Chao Qian 001 (NeurIPS, 2022)

Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution. - Ke Xue 001; Yutong Wang; Lei Yuan 005; Cong Guan; Chao Qian 001; Yang Yu 001 (CoRR, 2022)

Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers. - Lei Yuan 005; Ziqian Zhang; Ke Xue 001; Hao Yin; Feng Chen 042; Cong Guan; Lihe Li; Chao Qian 001; Yang Yu 001 (AAAI, 2023)

Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting. - Ren-Jian Wang; Ke Xue 001; Haopu Shang; Chao Qian 001; Haobo Fu; Qiang Fu 016 (IJCAI, 2023)

Macro Placement by Wire-Mask-Guided Black-Box Optimization. - Yunqi Shi; Ke Xue 001; Song Lei; Chao Qian 001 (NeurIPS, 2023)

Fast Teammate Adaptation in the Presence of Sudden Policy Change. - Ziqian Zhang; Lei Yuan 005; Lihe Li; Ke Xue 001; Chengxing Jia; Cong Guan; Chao Qian 001; Yang Yu 001 (UAI, 2023)

Macro Placement by Wire-Mask-Guided Black-Box Optimization. - Yunqi Shi; Ke Xue 001; Lei Song; Chao Qian 001 (CoRR, 2023)

Diversity from Human Feedback. - Ren-Jian Wang; Ke Xue 001; Yutong Wang; Peng Yang 008; Haobo Fu; Qiang Fu 016; Chao Qian 001 (CoRR, 2023)

Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation. - Xiaobin Huang; Lei Song; Ke Xue 001; Chao Qian 001 (AAAI, 2024)

Sample-Efficient Quality-Diversity by Cooperative Coevolution. - Ke Xue 001; Ren-Jian Wang; Pengyi Li 001; Dong Li 016; Jianye Hao; Chao Qian 001 (ICLR, 2024)

Offline Multi-Objective Optimization. - Ke Xue 001; Rong-Xi Tan; Xiaobin Huang; Chao Qian 001 (ICML, 2024)

Quality-Diversity with Limited Resources. - Ren-Jian Wang; Ke Xue 001; Cong Guan; Chao Qian 001 (ICML, 2024)

Quality-Diversity Algorithms Can Provably Be Helpful for Optimization. - Chao Qian 001; Ke Xue 001; Ren-Jian Wang (IJCAI, 2024)

Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy. - Chengrui Gao; Haopu Shang; Ke Xue 001; Dong Li 016; Chao Qian 001 (IJCAI, 2024)

Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer. - Ke Xue 001; Ruo-Tong Chen; Xi Lin 001; Yunqi Shi; Shixiong Kai; Siyuan Xu; Chao Qian 001 (NeurIPS, 2024)

Monte Carlo Tree Search based Space Transfer for Black Box Optimization. - Shukuan Wang; Ke Xue 001; Song Lei; Xiaobin Huang; Chao Qian 001 (NeurIPS, 2024)

Reinforced In-Context Black-Box Optimization. - Lei Song; Chenxiao Gao; Ke Xue 001; Chenyang Wu 001; Dong Li 016; Jianye Hao; Zongzhang Zhang; Chao Qian 001 (CoRR, 2024)

Escaping Local Optima in Global Placement. - Ke Xue 001; Xi Lin 001; Yunqi Shi; Shixiong Kai; Siyuan Xu; Chao Qian 001 (CoRR, 2024)

Neural Solver Selection for Combinatorial Optimization. - Chengrui Gao; Haopu Shang; Ke Xue 001; Chao Qian 001 (CoRR, 2024)

Monte Carlo Tree Search based Space Transfer for Black-box Optimization. - Shukuan Wang; Ke Xue 001; Lei Song; Xiaobin Huang; Chao Qian 001 (CoRR, 2024)

One by One, Continual Coordinating with Humans via Hyper-Teammate Identification. - Cong Guan; Feng Chen 042; Ke Xue 001; Chunpeng Fan; Lichao Zhang; Ziqian Zhang; Pengyao Zhao; Zongzhang Zhang; Chao Qian 001; Lei Yuan 005; Yang Yu 001 (Trans. Mach. Learn. Res., 2024)

Pareto Set Learning for Multi-Objective Reinforcement Learning. - Erlong Liu; Yu-Chang Wu; Xiaobin Huang; Chengrui Gao; Ren-Jian Wang; Ke Xue 001; Chao Qian 001 (AAAI, 2025)

Timing-Driven Global Placement by Efficient Critical Path Extraction. - Yunqi Shi; Siyuan Xu; Shixiong Kai; Xi Lin 001; Ke Xue 001; Mingxuan Yuan; Chao Qian 001 (DATE, 2025)

Offline Model-Based Optimization by Learning to Rank. - Rong-Xi Tan; Ke Xue 001; Shen-Huan Lyu; Haopu Shang; Yao Wang; Yaoyuan Wang; Sheng Fu; Chao Qian 001 (ICLR, 2025)

Open3DBench: Open-Source Benchmark for 3D-IC Backend Implementation and PPA Evaluation. - Yunqi Shi; Chengrui Gao; Wanqi Ren; Siyuan Xu; Ke Xue 001; Mingxuan Yuan; Chao Qian 001; Zhi-Hua Zhou (CoRR, 2025)

Open and real-world human-AI coordination by heterogeneous training with communication. - Cong Guan; Ke Xue 001; Chunpeng Fan; Feng Chen 042; Lichao Zhang; Lei Yuan 005; Chao Qian 001; Yang Yu 001 (Frontiers Comput. Sci., 2025)

Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings. - Rong-Xi Tan; Ming Chen; Ke Xue 001; Yao Wang; Yaoyuan Wang; Sheng Fu; Chao Qian 001 (CoRR, 2025)

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models. - Ren-Jian Wang; Ke Xue 001; Zeyu Qin; Ziniu Li; Sheng Tang; Hao-Tian Li; Shengcai Liu; Chao Qian 001 (CoRR, 2025)