PPaperPicks

Chao Qian

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

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

DBLP profile ↗ORCID 0000-0001-6011-2512 ↗Google Scholar ↗Homepage ↗

Venues

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

Frequent coauthors

Ke Xue
×18
Miqing Li
×9
Shengjie Ren
×8
Chao Bian
×8
Haopu Shang
×6
Dan-Xuan Liu
×5
Yao Wang
×5
Yaoyuan Wang
×5
Sheng Fu
×5
Ren-Jian Wang
×5
Rong-Xi Tan
×4
Xiaobin Huang
×4

Papers

  1. Budget-aware Algorithm Selection for Black-box Optimization
    GECCO 2026 ·
    Xiao He
    ,
    Haopu Shang
    ,
    Bin Zhang
    ,
    Weiyong Yang
    , Chao Qian
  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
    ,
    Zimin Liang
    ,
    Miqing Li
    , Chao Qian
  3. Hot off the Press: Improved Theoretically-Grounded Evolutionary Algorithms for Subset Selection with a Linear Cost Constraint
    GECCO 2026 ·
    Dan-Xuan Liu
    , Chao Qian
  4. Hot off the Press: Migrant Resettlement by Evolutionary Multi-objective Optimization
    GECCO 2026 ·
    Dan-Xuan Liu
    ,
    Yu-Ran Gu
    , Chao Qian,
    Xin Mu
    ,
    Ke Tang
  5. 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
  6. Hot off the Press: Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms
    GECCO 2026 ·
    Chao Bian
    ,
    Yawen Zhou
    ,
    Miqing Li
    , Chao Qian
  7. 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
  8. Not Just for Archiving: Provable Benefits of Reusing the Archive in Evolutionary Multi-objective Optimization
    AAAI 2026 ·
    Shengjie Ren
    ,
    Zimin Liang
    ,
    Miqing Li
    , Chao Qian
  9. Pareto Optimization with Robust Evaluation for Noisy Subset Selection
    GECCO 2026 ·
    Yiheng Xu
    ,
    Danxuan Liu
    ,
    Bin Zhang
    ,
    Weiyong Yang
    , Chao Qian
  10. A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization
    IJCAI 2025 ·
    Shengjie Ren
    ,
    Zimin Liang
    ,
    Miqing Li
    , Chao Qian
  11. An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms
    GECCO 2025 ·
    Chao Bian
    ,
    Shengjie Ren
    ,
    Miqing Li
    , Chao Qian
  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,
    Ke Xue
    ,
    Ren-Jian Wang
  14. How to Train Algorithm Selection Models: Insights from Black-box Continuous Optimization
    GECCO 2025 ·
    Xiao He
    ,
    Haopu Shang
    , Chao Qian
  15. Improved Theoretically-Grounded Evolutionary Algorithms for Subset Selection with a Linear Cost Constraint
    ICML 2025 ·
    Dan-Xuan Liu
    , Chao Qian
  16. MGDA/D: A Multiple Gradient Descent Algorithm Based on Decomposition
    GECCO 2025 ·
    Yawen Zhou
    ,
    Ke Xue
    , Chao Qian
  17. Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization
    GECCO 2025 ·
    Shengjie Ren
    ,
    Zhijia Qiu
    ,
    Chao Bian
    ,
    Miqing Li
    , Chao Qian
  18. Neural Solver Selection for Combinatorial Optimization
    ICML 2025 ·
    Chengrui Gao
    ,
    Haopu Shang
    ,
    Ke Xue
    , Chao Qian
  19. 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
  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
    ,
    Yu-Chang Wu
    ,
    Xiaobin Huang
    ,
    Chengrui Gao
    ,
    Ren-Jian Wang
    ,
    Ke Xue
    , Chao Qian
  22. 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
  23. Runtime Analysis of Evolutionary NAS for Multiclass Classification
    ICML 2025 ·
    Zeqiong Lv
    , Chao Qian,
    Yun Liu
    ,
    Jiahao Fan
    ,
    Yanan Sun
  24. Sequential Multi-Agent Dynamic Algorithm Configuration
    NeurIPS 2025 ·
    Chen Lu
    ,
    Ke Xue
    ,
    Lei Yuan
    ,
    Yao Wang
    ,
    Yaoyuan Wang
    ,
    Sheng Fu
    , Chao Qian
  25. Towards Running Time Analysis of Interactive Multi-objective Evolutionary Algorithms
    GECCO 2025 ·
    Tianhao Lu
    ,
    Chao Bian
    , Chao Qian
  26. 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
  27. A First Running Time Analysis of the Strength Pareto Evolutionary Algorithm 2 (SPEA2)
    PPSN 2024 ·
    Shengjie Ren
    ,
    Chao Bian
    ,
    Miqing Li
    , Chao Qian
  28. An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms
    IJCAI 2024 ·
    Chao Bian
    ,
    Shengjie Ren
    ,
    Miqing Li
    , Chao Qian
  29. Biased Pareto Optimization for Subset Selection with Dynamic Cost Constraints
    PPSN 2024 ·
    Dan-Xuan Liu
    , Chao Qian
  30. Confidence-aware Contrastive Learning for Selective Classification
    ICML 2024 ·
    Yu-Chang Wu
    ,
    Shen-Huan Lyu
    ,
    Haopu Shang
    ,
    Xiangyu Wang
    , Chao Qian
  31. Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization
    IJCAI 2024 ·
    Shengjie Ren
    ,
    Zhijia Qiu
    ,
    Chao Bian
    ,
    Miqing Li
    , Chao Qian
  32. Monte Carlo Tree Search based Space Transfer for Black Box Optimization
    NeurIPS 2024 ·
    Shukuan Wang
    ,
    Ke Xue
    ,
    Lei Song
    ,
    Xiaobin Huang
    , Chao Qian
  33. Offline Multi-Objective Optimization
    ICML 2024 ·
    Ke Xue
    ,
    Rong-Xi Tan
    ,
    Xiaobin Huang
    , Chao Qian
  34. Peptide Vaccine Design by Evolutionary Multi-Objective Optimization
    IJCAI 2024 ·
    Dan-Xuan Liu
    ,
    Yi-Heng Xu
    , Chao Qian
  35. Quality-Diversity Algorithms Can Provably Be Helpful for Optimization
    IJCAI 2024 · Chao Qian,
    Ke Xue
    ,
    Ren-Jian Wang
  36. Quality-Diversity with Limited Resources
    ICML 2024 ·
    Ren-Jian Wang
    ,
    Ke Xue
    ,
    Cong Guan
    , Chao Qian
  37. 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
  38. Sample-Efficient Quality-Diversity by Cooperative Coevolution
    ICLR 2024 ·
    Ke Xue
    ,
    Ren-Jian Wang
    ,
    Pengyi Li
    ,
    Dong Li
    ,
    Jianye Hao
    , Chao Qian
  39. Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation
    AAAI 2024 ·
    Xiaobin Huang
    ,
    Lei Song
    ,
    Ke Xue
    , Chao Qian
  40. 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
  41. Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms
    AAAI 2024 ·
    Tianhao Lu
    ,
    Chao Bian
    , Chao Qian