PPaperPicks

Ke Xue

Nanjing University, State Key Laboratory for Novel Software Technology, China

18 papers at tracked venues · 11 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0001-6789-2670 ↗Homepage ↗

Venues

GECCO ×4ICML ×4IJCAI ×3NeurIPS ×3AAAI ×2ICLR ×2

Frequent coauthors

Chao Qian
×18
Yao Wang
×5
Yaoyuan Wang
×5
Sheng Fu
×5
Ren-Jian Wang
×5
Rong-Xi Tan
×4
Xiaobin Huang
×4
Chengrui Gao
×3
Haopu Shang
×3
Lei Song
×3
Dong Li
×3
Chen Lu
×2

Papers

  1. Hot off the Press: Sequential Multi-Agent Dynamic Algorithm Configuration
    GECCO 2026 ·
    Chen Lu
    , Ke Xue,
    Lei Yuan
    ,
    Yao Wang
    ,
    Yaoyuan Wang
    ,
    Sheng Fu
    ,
    Chao Qian
  2. Hot off the Press: Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings
    GECCO 2026 ·
    Rong-Xi Tan
    ,
    Ming Chen
    , Ke Xue,
    Yao Wang
    ,
    Yaoyuan Wang
    ,
    Sheng Fu
    ,
    Chao Qian
  3. Hot off the Press: Quality-Diversity Algorithms Can Provably Be Helpful for Optimization
    GECCO 2025 ·
    Chao Qian
    , Ke Xue,
    Ren-Jian Wang
  4. MGDA/D: A Multiple Gradient Descent Algorithm Based on Decomposition
    GECCO 2025 ·
    Yawen Zhou
    , Ke Xue,
    Chao Qian
  5. Neural Solver Selection for Combinatorial Optimization
    ICML 2025 ·
    Chengrui Gao
    ,
    Haopu Shang
    , Ke Xue,
    Chao Qian
  6. Offline Model-Based Optimization by Learning to Rank
    ICLR 2025 ·
    Rong-Xi Tan
    , Ke Xue,
    Shen-Huan Lyu
    ,
    Haopu Shang
    ,
    Yao Wang
    ,
    Yaoyuan Wang
    ,
    Sheng Fu
    ,
    Chao Qian
  7. Pareto Set Learning for Multi-Objective Reinforcement Learning
    AAAI 2025 ·
    Erlong Liu
    ,
    Yu-Chang Wu
    ,
    Xiaobin Huang
    ,
    Chengrui Gao
    ,
    Ren-Jian Wang
    , Ke Xue,
    Chao Qian
  8. Reinforced In-Context Black-Box Optimization
    IJCAI 2025 ·
    Lei Song
    ,
    Chen-Xiao Gao
    , Ke Xue,
    Chenyang Wu
    ,
    Dong Li
    ,
    Jianye Hao
    ,
    Zongzhang Zhang
    ,
    Chao Qian
  9. Sequential Multi-Agent Dynamic Algorithm Configuration
    NeurIPS 2025 ·
    Chen Lu
    , Ke Xue,
    Lei Yuan
    ,
    Yao Wang
    ,
    Yaoyuan Wang
    ,
    Sheng Fu
    ,
    Chao Qian
  10. Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings
    ICML 2025 ·
    Rong-Xi Tan
    ,
    Ming Chen
    , Ke Xue,
    Yao Wang
    ,
    Yaoyuan Wang
    ,
    Sheng Fu
    ,
    Chao Qian
  11. Monte Carlo Tree Search based Space Transfer for Black Box Optimization
    NeurIPS 2024 ·
    Shukuan Wang
    , Ke Xue,
    Lei Song
    ,
    Xiaobin Huang
    ,
    Chao Qian
  12. Offline Multi-Objective Optimization
    ICML 2024 · Ke Xue,
    Rong-Xi Tan
    ,
    Xiaobin Huang
    ,
    Chao Qian
  13. Quality-Diversity Algorithms Can Provably Be Helpful for Optimization
    IJCAI 2024 ·
    Chao Qian
    , Ke Xue,
    Ren-Jian Wang
  14. Quality-Diversity with Limited Resources
    ICML 2024 ·
    Ren-Jian Wang
    , Ke Xue,
    Cong Guan
    ,
    Chao Qian
  15. Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer
    NeurIPS 2024 · Ke Xue,
    Ruo-Tong Chen
    ,
    Xi Lin
    ,
    Yunqi Shi
    ,
    Shixiong Kai
    ,
    Siyuan Xu
    ,
    Chao Qian
  16. Sample-Efficient Quality-Diversity by Cooperative Coevolution
    ICLR 2024 · Ke Xue,
    Ren-Jian Wang
    ,
    Pengyi Li
    ,
    Dong Li
    ,
    Jianye Hao
    ,
    Chao Qian
  17. Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation
    AAAI 2024 ·
    Xiaobin Huang
    ,
    Lei Song
    , Ke Xue,
    Chao Qian
  18. Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy
    IJCAI 2024 ·
    Chengrui Gao
    ,
    Haopu Shang
    , Ke Xue,
    Dong Li
    ,
    Chao Qian