Qian, Chao

62 publications

IJCAI 2025 A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-Objective Optimization Shengjie Ren, Zimin Liang, Miqing Li, Chao Qian

ICML 2025 Improved Theoretically-Grounded Evolutionary Algorithms for Subset Selection with a Linear Cost Constraint Dan-Xuan Liu, Chao Qian

ICML 2025 Neural Solver Selection for Combinatorial Optimization Chengrui Gao, Haopu Shang, Ke Xue, Chao Qian

ICLR 2025 Offline Model-Based Optimization by Learning to Rank Rong-Xi Tan, Ke Xue, Shen-Huan Lyu, Haopu Shang, Yaowang, Yaoyuan Wang, Fu Sheng, Chao Qian

AAAI 2025 Pareto Set Learning for Multi-Objective Reinforcement Learning Erlong Liu, Yu-Chang Wu, Xiaobin Huang, Chengrui Gao, Ren-Jian Wang, Ke Xue, Chao Qian

IJCAI 2025 Reinforced In-Context Black-Box Optimization Lei Song, Chen-Xiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian

ICML 2025 Runtime Analysis of Evolutionary NAS for Multiclass Classification Zeqiong Lv, Chao Qian, Yun Liu, Jiahao Fan, Yanan Sun

NeurIPS 2025 Sequential Multi-Agent Dynamic Algorithm Configuration Chen Lu, Ke Xue, Lei Yuan, Yao Wang, Yaoyuan Wang, Fu Sheng, Chao Qian

ICML 2025 Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings Rong-Xi Tan, Ming Chen, Ke Xue, Yao Wang, Yaoyuan Wang, Fu Sheng, Chao Qian

ICLRW 2025 Towards Universal Offline Black-Box Optimization via Learning String Embedding Space Rong-Xi Tan, Ming Chen, Ke Xue, Yao Wang, Yaoyuan Wang, Fu Sheng, Chao Qian

IJCAI 2024 An Archive Can Bring Provable Speed-Ups in Multi-Objective Evolutionary Algorithms Chao Bian, Shengjie Ren, Miqing Li, Chao Qian

ICML 2024 Confidence-Aware Contrastive Learning for Selective Classification Yu-Chang Wu, Shen-Huan Lyu, Haopu Shang, Xiangyu Wang, Chao Qian

IJCAI 2024 Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization Shengjie Ren, Zhijia Qiu, Chao Bian, Miqing Li, Chao Qian

MLJ 2024 Margin Distribution and Structural Diversity Guided Ensemble Pruning Yi-Xiao He, Yu-Chang Wu, Chao Qian, Zhi-Hua Zhou

NeurIPS 2024 Monte Carlo Tree Search Based Space Transfer for Black Box Optimization Shukuan Wang, Ke Xue, Lei Song, Xiaobin Huang, Chao Qian

ICML 2024 Offline Multi-Objective Optimization Ke Xue, Rongxi Tan, Xiaobin Huang, Chao Qian

TMLR 2024 One by One, Continual Coordinating with Humans via Hyper-Teammate Identification Cong Guan, Feng Chen, Ke Xue, Chunpeng Fan, Lichao Zhang, Ziqian Zhang, Pengyao Zhao, Zongzhang Zhang, Chao Qian, Lei Yuan, Yang Yu

IJCAI 2024 Peptide Vaccine Design by Evolutionary Multi-Objective Optimization Dan-Xuan Liu, Yi-Heng Xu, Chao Qian

IJCAI 2024 Quality-Diversity Algorithms Can Provably Be Helpful for Optimization Chao Qian, Ke Xue, Ren-Jian Wang

ICML 2024 Quality-Diversity with Limited Resources Ren-Jian Wang, Ke Xue, Cong Guan, Chao Qian

NeurIPS 2024 Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer Ke Xue, Ruo-Tong Chen, Xi Lin, Yunqi Shi, Shixiong Kai, Siyuan Xu, Chao Qian

ICLR 2024 Sample-Efficient Quality-Diversity by Cooperative Coevolution Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye Hao, Chao Qian

AAAI 2024 Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation Xiaobin Huang, Lei Song, Ke Xue, Chao Qian

IJCAI 2024 Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy Chengrui Gao, Haopu Shang, Ke Xue, Dong Li, Chao Qian

AAAI 2024 Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms Tianhao Lu, Chao Bian, Chao Qian

NeurIPSW 2023 Diversity from Human Feedback Ren-Jian Wang, Ke Xue, Yutong Wang, Peng Yang, Haobo Fu, Qiang Fu, Chao Qian

UAI 2023 Fast Teammate Adaptation in the Presence of Sudden Policy Change Ziqian Zhang, Lei Yuan, Lihe Li, Ke Xue, Chengxing Jia, Cong Guan, Chao Qian, Yang Yu

AAAI 2023 Human Assisted Learning by Evolutionary Multi-Objective Optimization Dan-Xuan Liu, Xin Mu, Chao Qian

NeurIPS 2023 Macro Placement by Wire-Mask-Guided Black-Box Optimization Yunqi Shi, Ke Xue, Song Lei, Chao Qian

IJCAI 2023 Multi-Objective Optimization-Based Selection for Quality-Diversity by Non-Surrounded-Dominated Sorting Ren-Jian Wang, Ke Xue, Haopu Shang, Chao Qian, Haobo Fu, Qiang Fu

ICLR 2023 Quality-Similar Diversity via Population Based Reinforcement Learning Shuang Wu, Jian Yao, Haobo Fu, Ye Tian, Chao Qian, Yaodong Yang, Qiang Fu, Yang Wei

AAAI 2023 Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers Lei Yuan, Ziqian Zhang, Ke Xue, Hao Yin, Feng Chen, Cong Guan, Lihe Li, Chao Qian, Yang Yu

IJCAI 2023 Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms Chao Bian, Yawen Zhou, Miqing Li, Chao Qian

AAAI 2023 Submodular Maximization Under the Intersection of Matroid and Knapsack Constraints Yu-Ran Gu, Chao Bian, Chao Qian

ICLR 2022 Evolutionary Diversity Optimization with Clustering-Based Selection for Reinforcement Learning Yutong Wang, Ke Xue, Chao Qian

NeurIPS 2022 Monte Carlo Tree Search Based Variable Selection for High Dimensional Bayesian Optimization Lei Song, Ke Xue, Xiaobin Huang, Chao Qian

NeurIPS 2022 Multi-Agent Dynamic Algorithm Configuration Ke Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, Yang Yu

IJCAI 2022 Neural Network Pruning by Cooperative Coevolution Haopu Shang, Jia-Liang Wu, Wenjing Hong, Chao Qian

IJCAI 2022 Robust Subset Selection by Greedy and Evolutionary Pareto Optimization Chao Bian, Yawen Zhou, Chao Qian

IJCAI 2022 Towards Theoretically Grounded Evolutionary Learning Chao Qian

IJCAI 2021 Evolutionary Gradient Descent for Non-Convex Optimization Ke Xue, Chao Qian, Ling Xu, Xudong Fei

IJCAI 2021 Fast Pareto Optimization for Subset Selection with Dynamic Cost Constraints Chao Bian, Chao Qian, Frank Neumann, Yang Yu

AAAI 2021 Multi-Objective Submodular Maximization by Regret Ratio Minimization with Theoretical Guarantee Chao Feng, Chao Qian

AAAI 2020 An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints Chao Bian, Chao Feng, Chao Qian, Yang Yu

IJCAI 2020 Bayesian Optimization Using Pseudo-Points Chao Qian, Hang Xiong, Ke Xue

IJCAI 2020 Self-Guided Evolution Strategies with Historical Estimated Gradients Fei-Yu Liu, Zi-Niu Li, Chao Qian

AAAI 2020 Subset Selection by Pareto Optimization with Recombination Chao Qian, Chao Bian, Chao Feng

AAAI 2019 Unsupervised Feature Selection by Pareto Optimization Chao Feng, Chao Qian, Ke Tang

IJCAI 2018 A General Approach to Running Time Analysis of Multi-Objective Evolutionary Algorithms Chao Bian, Chao Qian, Ke Tang

IJCAI 2018 Approximation Guarantees of Stochastic Greedy Algorithms for Subset Selection Chao Qian, Yang Yu, Ke Tang

IJCAI 2018 Distributed Pareto Optimization for Subset Selection Chao Qian, Guiying Li, Chao Feng, Ke Tang

IJCAI 2018 Efficient DNN Neuron Pruning by Minimizing Layer-Wise Nonlinear Reconstruction Error Chunhui Jiang, Guiying Li, Chao Qian, Ke Tang

AAAI 2018 On Multiset Selection with Size Constraints Chao Qian, Yibo Zhang, Ke Tang, Xin Yao

IJCAI 2018 Optimization Based Layer-Wise Magnitude-Based Pruning for DNN Compression Guiying Li, Chao Qian, Chunhui Jiang, Xiaofen Lu, Ke Tang

IJCAI 2018 Sequence Selection by Pareto Optimization Chao Qian, Chao Feng, Ke Tang

IJCAI 2017 On Subset Selection with General Cost Constraints Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang

IJCAI 2017 Optimizing Ratio of Monotone Set Functions Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou

NeurIPS 2017 Subset Selection Under Noise Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou

IJCAI 2016 Parallel Pareto Optimization for Subset Selection Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou

IJCAI 2015 On Constrained Boolean Pareto Optimization Chao Qian, Yang Yu, Zhi-Hua Zhou

AAAI 2015 Pareto Ensemble Pruning Chao Qian, Yang Yu, Zhi-Hua Zhou

NeurIPS 2015 Subset Selection by Pareto Optimization Chao Qian, Yang Yu, Zhi-Hua Zhou