Chao Qian

Not Just for Archiving: Provable Benefits of Reusing the Archive in Evolutionary Multi-objective Optimization AAAI 2026 A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization IJCAI 2025 Improved Theoretically-Grounded Evolutionary Algorithms for Subset Selection with a Linear Cost Constraint ICML 2025 Neural Solver Selection for Combinatorial Optimization ICML 2025 Runtime Analysis of Evolutionary NAS for Multiclass Classification ICML 2025 Reinforced In-Context Black-Box Optimization IJCAI 2025 Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings ICML 2025 Pareto Set Learning for Multi-Objective Reinforcement Learning AAAI 2025 Offline Model-Based Optimization by Learning to Rank ICLR 2025 Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms AAAI 2024 Quality-Diversity Algorithms Can Provably Be Helpful for Optimization IJCAI 2024 Peptide Vaccine Design by Evolutionary Multi-Objective Optimization IJCAI 2024 Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy IJCAI 2024 Monte Carlo Tree Search based Space Transfer for Black Box Optimization NIPS 2024 Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer NIPS 2024 An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms IJCAI 2024 Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation AAAI 2024 Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization IJCAI 2024 Sample-Efficient Quality-Diversity by Cooperative Coevolution ICLR 2024 Quality-Diversity with Limited Resources ICML 2024 Confidence-aware Contrastive Learning for Selective Classification ICML 2024 Offline Multi-Objective Optimization ICML 2024 Fast Teammate Adaptation in the Presence of Sudden Policy Change UAI 2023 Macro Placement by Wire-Mask-Guided Black-Box Optimization NIPS 2023 Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers AAAI 2023 Submodular Maximization under the Intersection of Matroid and Knapsack Constraints AAAI 2023 Quality-Similar Diversity via Population Based Reinforcement Learning ICLR 2023 Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms IJCAI 2023 Human Assisted Learning by Evolutionary Multi-Objective Optimization AAAI 2023 Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting IJCAI 2023 Robust Subset Selection by Greedy and Evolutionary Pareto Optimization IJCAI 2022 Multi-agent Dynamic Algorithm Configuration NIPS 2022 Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization NIPS 2022 Evolutionary Diversity Optimization with Clustering-based Selection for Reinforcement Learning ICLR 2022 Towards Theoretically Grounded Evolutionary Learning IJCAI 2022 Neural Network Pruning by Cooperative Coevolution IJCAI 2022 Fast Pareto Optimization for Subset Selection with Dynamic Cost Constraints IJCAI 2021 Multi-Objective Submodular Maximization by Regret Ratio Minimization with Theoretical Guarantee AAAI 2021 Evolutionary Gradient Descent for Non-convex Optimization IJCAI 2021 An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints AAAI 2020 Bayesian Optimization using Pseudo-Points IJCAI 2020 Self-Guided Evolution Strategies with Historical Estimated Gradients IJCAI 2020 Subset Selection by Pareto Optimization with Recombination AAAI 2020 Unsupervised Feature Selection by Pareto Optimization AAAI 2019 Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error IJCAI 2018 Distributed Pareto Optimization for Subset Selection IJCAI 2018 Optimization based Layer-wise Magnitude-based Pruning for DNN Compression IJCAI 2018 Sequence Selection by Pareto Optimization IJCAI 2018 Approximation Guarantees of Stochastic Greedy Algorithms for Subset Selection IJCAI 2018 A General Approach to Running Time Analysis of Multi-objective Evolutionary Algorithms IJCAI 2018 Subset Selection under Noise NIPS 2017 On Subset Selection with General Cost Constraints IJCAI 2017 Optimizing Ratio of Monotone Set Functions IJCAI 2017 Parallel Pareto Optimization for Subset Selection IJCAI 2016 On Constrained Boolean Pareto Optimization IJCAI 2015 Subset Selection by Pareto Optimization NIPS 2015