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Ke Xue

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

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

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Venues

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

Frequent coauthors

Rong-Xi Tan
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Chen Lu
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Chao Qian
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Chengrui Gao
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Yawen Zhou
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Erlong Liu
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Lei Song
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Shukuan Wang
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Ren-Jian Wang
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Xiaobin Huang
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Papers

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