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Chao Qian

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

41 papers at tracked venues · 16 at CORE A* · active 2024–2026

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Venues

GECCO ×16ICML ×7IJCAI ×7AAAI ×4NeurIPS ×3ICLR ×2PPSN ×2

Frequent coauthors

Shengjie Ren
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Dan-Xuan Liu
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Chao Bian
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Rong-Xi Tan
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Ke Xue
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Xiao He
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Chen Lu
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Chengrui Gao
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Tianhao Lu
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Yiheng Xu
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Yawen Zhou
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Erlong Liu
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Papers

  1. Budget-aware Algorithm Selection for Black-box Optimization
    GECCO 2026 ·
    Xiao He
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  2. Hot off the Press: A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization
    GECCO 2026 ·
    Shengjie Ren
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  3. Hot off the Press: Improved Theoretically-Grounded Evolutionary Algorithms for Subset Selection with a Linear Cost Constraint
    GECCO 2026 ·
    Dan-Xuan Liu
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  4. Hot off the Press: Migrant Resettlement by Evolutionary Multi-objective Optimization
    GECCO 2026 ·
    Dan-Xuan Liu
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  5. Hot off the Press: Sequential Multi-Agent Dynamic Algorithm Configuration
    GECCO 2026 ·
    Chen Lu
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  6. Hot off the Press: Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms
    GECCO 2026 ·
    Chao Bian
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  7. Hot off the Press: Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings
    GECCO 2026 ·
    Rong-Xi Tan
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  8. Not Just for Archiving: Provable Benefits of Reusing the Archive in Evolutionary Multi-objective Optimization
    AAAI 2026 ·
    Shengjie Ren
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  9. Pareto Optimization with Robust Evaluation for Noisy Subset Selection
    GECCO 2026 ·
    Yiheng Xu
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  10. A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization
    IJCAI 2025 ·
    Shengjie Ren
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  11. An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms
    GECCO 2025 ·
    Chao Bian
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  12. Hot off the Press: Can Evolutionary Clustering Have Theoretical Guarantees?
    GECCO 2025 · Chao Qian
  13. Hot off the Press: Quality-Diversity Algorithms Can Provably Be Helpful for Optimization
    GECCO 2025 · Chao Qian
  14. How to Train Algorithm Selection Models: Insights from Black-box Continuous Optimization
    GECCO 2025 ·
    Xiao He
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  15. Improved Theoretically-Grounded Evolutionary Algorithms for Subset Selection with a Linear Cost Constraint
    ICML 2025 ·
    Dan-Xuan Liu
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  16. MGDA/D: A Multiple Gradient Descent Algorithm Based on Decomposition
    GECCO 2025 ·
    Yawen Zhou
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  17. Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization
    GECCO 2025 ·
    Shengjie Ren
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  18. Neural Solver Selection for Combinatorial Optimization
    ICML 2025 ·
    Chengrui Gao
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  19. Offline Model-Based Optimization by Learning to Rank
    ICLR 2025 ·
    Rong-Xi Tan
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  20. Pareto Optimization for Subset Selection: Theories and Practical Algorithms
    GECCO 2025 · Chao Qian
  21. Pareto Set Learning for Multi-Objective Reinforcement Learning
    AAAI 2025 ·
    Erlong Liu
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  22. Reinforced In-Context Black-Box Optimization
    IJCAI 2025 ·
    Lei Song
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  23. Runtime Analysis of Evolutionary NAS for Multiclass Classification
    ICML 2025 ·
    Zeqiong Lv
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  24. Sequential Multi-Agent Dynamic Algorithm Configuration
    NeurIPS 2025 ·
    Chen Lu
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  25. Towards Running Time Analysis of Interactive Multi-objective Evolutionary Algorithms
    GECCO 2025 ·
    Tianhao Lu
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  26. Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings
    ICML 2025 ·
    Rong-Xi Tan
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  27. A First Running Time Analysis of the Strength Pareto Evolutionary Algorithm 2 (SPEA2)
    PPSN 2024 ·
    Shengjie Ren
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  28. An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms
    IJCAI 2024 ·
    Chao Bian
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  29. Biased Pareto Optimization for Subset Selection with Dynamic Cost Constraints
    PPSN 2024 ·
    Dan-Xuan Liu
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  30. Confidence-aware Contrastive Learning for Selective Classification
    ICML 2024 ·
    Yu-Chang Wu
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  31. Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization
    IJCAI 2024 ·
    Shengjie Ren
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  32. Monte Carlo Tree Search based Space Transfer for Black Box Optimization
    NeurIPS 2024 ·
    Shukuan Wang
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  33. Offline Multi-Objective Optimization
    ICML 2024 ·
    Ke Xue
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  34. Peptide Vaccine Design by Evolutionary Multi-Objective Optimization
    IJCAI 2024 ·
    Dan-Xuan Liu
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  35. Quality-Diversity Algorithms Can Provably Be Helpful for Optimization
    IJCAI 2024 · Chao Qian
  36. Quality-Diversity with Limited Resources
    ICML 2024 ·
    Ren-Jian Wang
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  37. Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer
    NeurIPS 2024 ·
    Ke Xue
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  38. Sample-Efficient Quality-Diversity by Cooperative Coevolution
    ICLR 2024 ·
    Ke Xue
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  39. Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation
    AAAI 2024 ·
    Xiaobin Huang
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  40. Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy
    IJCAI 2024 ·
    Chengrui Gao
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  41. Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms
    AAAI 2024 ·
    Tianhao Lu
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