Chao Qian

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 123

Top Venues

Publications

Ren-Jian Wang, Ke Xue, Cong Guan, Chao Qian
Quality-Diversity with Limited Resources. CoRR (2024)
Chao Qian, Ke Xue, Ren-Jian Wang
Quality-Diversity Algorithms Can Provably Be Helpful for Optimization. CoRR (2024)
Zeqiong Lv, Chao Qian, Yanan Sun
A First Step Towards Runtime Analysis of Evolutionary Neural Architecture Search. CoRR (2024)
Dan-Xuan Liu, Yi-Heng Xu, Chao Qian
Peptide Vaccine Design by Evolutionary Multi-Objective Optimization. CoRR (2024)
Zi-Hang Cheng, Haopu Shang, Chao Qian
Detection-Rate-Emphasized Multi-objective Evolutionary Feature Selection for Network Intrusion Detection. CoRR (2024)
Shengjie Ren, Chao Bian, Miqing Li, Chao Qian
A First Running Time Analysis of the Strength Pareto Evolutionary Algorithm 2 (SPEA2). CoRR (2024)
Zeqiong Lv, Chao Bian, Chao Qian, Yanan Sun
Runtime Analysis of Population-based Evolutionary Neural Architecture Search for a Binary Classification Problem. GECCO (2024)
Tianhao Lu, Chao Bian, Chao Qian
Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms. AAAI (2024)
Yi-Xiao He, Dan-Xuan Liu, Shen-Huan Lyu, Chao Qian, Zhi-Hua Zhou
Multi-class imbalance problem: A multi-objective solution. Inf. Sci. 680 (2024)
Yuheng Zhou, Haopu Shang, Yu-Chang Wu, Chao Qian
Instance-Label Based Multi-Label Active Learning by Evolutionary Multi-Objective Optimization. GECCO Companion (2024)
Yi-Xiao He, Yu-Chang Wu, Chao Qian, Zhi-Hua Zhou
Margin distribution and structural diversity guided ensemble pruning. Mach. Learn. 113 (6) (2024)
Lei Song, Chenxiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian
Reinforced In-Context Black-Box Optimization. CoRR (2024)
Shengjie Ren, Zhijia Qiu, Chao Bian, Miqing Li, Chao Qian
Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization. CoRR (2024)
Yu-Ran Gu, Chao Bian, Miqing Li, Chao Qian
Subset Selection for Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 28 (2) (2024)
Shengcai Liu, Ning Lu, Wenjing Hong, Chao Qian, Ke Tang
Effective and Imperceptible Adversarial Textual Attack Via Multi-objectivization. ACM Trans. Evol. Learn. Optim. 4 (3) (2024)
Yu-Chang Wu, Shen-Huan Lyu, Haopu Shang, Xiangyu Wang, Chao Qian
Confidence-aware Contrastive Learning for Selective Classification. CoRR (2024)
Ke Xue, Xi Lin, Yunqi Shi, Shixiong Kai, Siyuan Xu, Chao Qian
Escaping Local Optima in Global Placement. CoRR (2024)
Dan-Xuan Liu, Chao Qian
Biased Pareto Optimization for Subset Selection with Dynamic Cost Constraints. CoRR (2024)
Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye Hao, Chao Qian
Sample-Efficient Quality-Diversity by Cooperative Coevolution. ICLR (2024)
Ke Xue, Rong-Xi Tan, Xiaobin Huang, Chao Qian
Offline Multi-Objective Optimization. CoRR (2024)
Xiaobin Huang, Lei Song, Ke Xue, Chao Qian
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation. AAAI (2024)
Chao Bian, Shengjie Ren, Miqing Li, Chao Qian
An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms. CoRR (2024)
Guiying Li, Peng Yang, Chao Qian, Richang Hong, Ke Tang
Stage-Wise Magnitude-Based Pruning for Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Chao Bian, Yawen Zhou, Miqing Li, Chao Qian
Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms. IJCAI (2023)
Dan-Xuan Liu, Yu-Ran Gu, Chao Qian, Xin Mu, Ke Tang
Migrant Resettlement by Evolutionary Multi-objective Optimization. CoRR (2023)
Yunqi Shi, Ke Xue, Song Lei, Chao Qian
Macro Placement by Wire-Mask-Guided Black-Box Optimization. NeurIPS (2023)
Chengrui Gao, Haopu Shang, Ke Xue, Dong Li, Chao Qian
Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy. CoRR (2023)
Chao Qian, Dan-Xuan Liu, Chao Feng, Ke Tang
Multi-objective evolutionary algorithms are generally good: Maximizing monotone submodular functions over sequences. Theor. Comput. Sci. 943 (2023)
Lei Yuan, Ziqian Zhang, Ke Xue, Hao Yin, Feng Chen, Cong Guan, Lihe Li, Chao Qian, Yang Yu
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers. CoRR (2023)
Yu-Ran Gu, Chao Bian, Chao Qian
Submodular Maximization under the Intersection of Matroid and Knapsack Constraints. AAAI (2023)
Xiaobin Huang, Lei Song, Ke Xue, Chao Qian
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation. CoRR (2023)
Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bäck
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler. CEC (2023)
Shuang Wu, Jian Yao, Haobo Fu, Ye Tian, Chao Qian, Yaodong Yang, Qiang Fu, Wei Yang
Quality-Similar Diversity via Population Based Reinforcement Learning. ICLR (2023)
Ziqian Zhang, Lei Yuan, Lihe Li, Ke Xue, Chengxing Jia, Cong Guan, Chao Qian, Yang Yu
Fast Teammate Adaptation in the Presence of Sudden Policy Change. CoRR (2023)
Muyao Zhong, Shengcai Liu, Bingdong Li, Haobo Fu, Chao Qian, Ke Tang, Peng Yang
Pointer Networks Trained Better via Evolutionary Algorithms. CoRR (2023)
Ziqian Zhang, Lei Yuan, Lihe Li, Ke Xue, Chengxing Jia, Cong Guan, Chao Qian, Yang Yu
Fast Teammate Adaptation in the Presence of Sudden Policy Change. UAI (2023)
Yu-Ran Gu, Chao Bian, Chao Qian
Submodular Maximization under the Intersection of Matroid and Knapsack Constraints. CoRR (2023)
Tianhao Lu, Chao Bian, Chao Qian
Towards Running Time Analysis of Interactive Multi-objective Evolutionary Algorithms. CoRR (2023)
Lei Yuan, Ziqian Zhang, Ke Xue, Hao Yin, Feng Chen, Cong Guan, Lihe Li, Chao Qian, Yang Yu
Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers. AAAI (2023)
Ren-Jian Wang, Ke Xue, Haopu Shang, Chao Qian, Haobo Fu, Qiang Fu
Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting. IJCAI (2023)
Ren-Jian Wang, Ke Xue, Yutong Wang, Peng Yang, Haobo Fu, Qiang Fu, Chao Qian
Diversity from Human Feedback. CoRR (2023)
Per Kristian Lehre, Aneta Neumann, Chao Qian
Special Issue on Theoretical Foundations of Evolutionary Computation. Theor. Comput. Sci. 950 (2023)
Yunqi Shi, Ke Xue, Lei Song, Chao Qian
Macro Placement by Wire-Mask-Guided Black-Box Optimization. CoRR (2023)
Chao Bian, Yawen Zhou, Miqing Li, Chao Qian
Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms. CoRR (2023)
Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bäck
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler. CoRR (2023)
Dan-Xuan Liu, Xin Mu, Chao Qian
Human Assisted Learning by Evolutionary Multi-Objective Optimization. AAAI (2023)
Zeqiong Lv, Chao Qian, Gary G. Yen, Yanan Sun
Analysis of Expected Hitting Time for Designing Evolutionary Neural Architecture Search Algorithms. CoRR (2022)
Lei Song, Ke Xue, Xiaobin Huang, Chao Qian
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization. CoRR (2022)
Yutong Wang, Ke Xue, Chao Qian
Evolutionary Diversity Optimization with Clustering-based Selection for Reinforcement Learning. ICLR (2022)
Haopu Shang, Jia-Liang Wu, Wenjing Hong, Chao Qian
Neural Network Pruning by Cooperative Coevolution. CoRR (2022)
Haopu Shang, Jia-Liang Wu, Wenjing Hong, Chao Qian
Neural Network Pruning by Cooperative Coevolution. IJCAI (2022)
Chao Bian, Chao Qian
Running Time Analysis of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) using Binary or Stochastic Tournament Selection. CoRR (2022)
Jia-Liang Wu, Haopu Shang, Wenjing Hong, Chao Qian
Robust Neural Network Pruning by Cooperative Coevolution. PPSN (1) (2022)
Lei Song, Ke Xue, Xiaobin Huang, Chao Qian
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization. NeurIPS (2022)
Chao Bian, Yawen Zhou, Chao Qian
Robust Subset Selection by Greedy and Evolutionary Pareto Optimization. CoRR (2022)
Ke Xue, Yutong Wang, Lei Yuan, Cong Guan, Chao Qian, Yang Yu
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution. CoRR (2022)
Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Chao Qian, Yang Yu
ZOOpt: a toolbox for derivative-free optimization. Sci. China Inf. Sci. 65 (10) (2022)
Chao Qian
Towards Theoretically Grounded Evolutionary Learning. IJCAI (2022)
Chao Qian, Dan-Xuan Liu, Zhi-Hua Zhou
Result diversification by multi-objective evolutionary algorithms with theoretical guarantees. Artif. Intell. 309 (2022)
Ke Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, Yang Yu
Multi-agent Dynamic Algorithm Configuration. CoRR (2022)
Yu-Chang Wu, Yi-Xiao He, Chao Qian, Zhi-Hua Zhou
Multi-objective Evolutionary Ensemble Pruning Guided by Margin Distribution. PPSN (1) (2022)
Chao Bian, Yawen Zhou, Chao Qian
Robust Subset Selection by Greedy and Evolutionary Pareto Optimization. IJCAI (2022)
Chao Bian, Chao Qian
Better Running Time of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) by Using Stochastic Tournament Selection. PPSN (2) (2022)
Dingming Liu, Haopu Shang, Wenjing Hong, Chao Qian
Multi-objective Evolutionary Instance Selection for Multi-label Classification. PRICAI (1) (2022)
Aneta Neumann, Frank Neumann, Chao Qian
Evolutionary submodular optimisation: tutorial. GECCO Companion (2022)
Chao Qian
Can Evolutionary Clustering Have Theoretical Guarantees? CoRR (2022)
Ke Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, Yang Yu
Multi-agent Dynamic Algorithm Configuration. NeurIPS (2022)
Zi-An Zhang, Chao Bian, Chao Qian
Running Time Analysis of the (1+1)-EA Using Surrogate Models on OneMax and LeadingOnes. PPSN (2) (2022)
Shengcai Liu, Ning Lu, Cheng Chen, Chao Qian, Ke Tang
HydraText: Multi-objective Optimization for Adversarial Textual Attack. CoRR (2021)
Chao Bian, Chao Qian, Frank Neumann, Yang Yu
Fast Pareto Optimization for Subset Selection with Dynamic Cost Constraints. IJCAI (2021)
Chao Qian, Dan-Xuan Liu, Chao Feng, Ke Tang
Multi-objective Evolutionary Algorithms are Generally Good: Maximizing Monotone Submodular Functions over Sequences. CoRR (2021)
Chao Qian, Chao Bian, Yang Yu, Ke Tang, Xin Yao
Analysis of Noisy Evolutionary Optimization When Sampling Fails. Algorithmica 83 (4) (2021)
Chao Bian, Chao Qian, Yang Yu, Ke Tang
On the robustness of median sampling in noisy evolutionary optimization. Sci. China Inf. Sci. 64 (5) (2021)
Ke Xue, Chao Qian, Ling Xu, Xudong Fei
Evolutionary Gradient Descent for Non-convex Optimization. IJCAI (2021)
Wenjing Hong, Chao Qian, Ke Tang
Efficient Minimum Cost Seed Selection With Theoretical Guarantees for Competitive Influence Maximization. IEEE Trans. Cybern. 51 (12) (2021)
Fei-Yu Liu, Chao Qian
Prediction Guided Meta-Learning for Multi-Objective Reinforcement Learning. CEC (2021)
Chao Feng, Chao Qian
Multi-Objective Submodular Maximization by Regret Ratio Minimization with Theoretical Guarantee. AAAI (2021)
Chao Qian, Dan-Xuan Liu, Zhi-Hua Zhou
Result Diversification by Multi-objective Evolutionary Algorithms with Theoretical Guarantees. CoRR (2021)
Aneta Neumann, Frank Neumann, Chao Qian
Evolutionary submodular optimisation. GECCO Companion (2021)
Chao Qian
Multiobjective Evolutionary Algorithms Are Still Good: Maximizing Monotone Approximately Submodular Minus Modular Functions. Evol. Comput. 29 (4) (2021)
Chao Bian, Chao Feng, Chao Qian, Yang Yu
An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints. AAAI (2020)
Chao Bian, Chao Qian, Ke Tang, Yang Yu
Running time analysis of the (1+1)-EA for robust linear optimization. Theor. Comput. Sci. 843 (2020)
Chao Qian, Hang Xiong, Ke Xue
Bayesian Optimization using Pseudo-Points. IJCAI (2020)
Chao Qian, Chao Bian, Chao Feng
Subset Selection by Pareto Optimization with Recombination. AAAI (2020)
Fei-Yu Liu, Zi-Niu Li, Chao Qian
Self-Guided Evolution Strategies with Historical Estimated Gradients. IJCAI (2020)
Chao Qian
Distributed Pareto Optimization for Large-Scale Noisy Subset Selection. IEEE Trans. Evol. Comput. 24 (4) (2020)
Chao Feng, Chao Qian, Ke Tang
Unsupervised Feature Selection by Pareto Optimization. AAAI (2019)
Chao Qian
Multi-objective Evolutionary Algorithms are Still Good: Maximizing Monotone Approximately Submodular Minus Modular Functions. CoRR (2019)
Chao Qian, Yang Yu, Ke Tang, Xin Yao, Zhi-Hua Zhou
Maximizing submodular or monotone approximately submodular functions by multi-objective evolutionary algorithms. Artif. Intell. 275 (2019)
Chao Bian, Chao Qian, Yang Yu
On the Robustness of Median Sampling in Noisy Evolutionary Optimization. CoRR (2019)
Chao Qian, Hang Xiong
Bayesian Optimization using Pseudo-Points. CoRR (2019)
Chao Bian, Chao Qian, Ke Tang
Running Time Analysis of the (1+1)-EA for Robust Linear Optimization. CoRR (2019)
Chao Qian, Chao Bian, Wu Jiang, Ke Tang
Running Time Analysis of the ( $$1+1$$ 1 + 1 )-EA for OneMax and LeadingOnes Under Bit-Wise Noise. Algorithmica 81 (2) (2019)
Chunhui Jiang, Guiying Li, Chao Qian, Ke Tang
Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error. IJCAI (2018)
Chao Qian, Yang Yu, Ke Tang
Approximation Guarantees of Stochastic Greedy Algorithms for Subset Selection. IJCAI (2018)
Chao Qian, Chao Feng, Ke Tang
Sequence Selection by Pareto Optimization. IJCAI (2018)
Chao Qian, Jing-Cheng Shi, Ke Tang, Zhi-Hua Zhou
Constrained Monotone k-Submodular Function Maximization Using Multiobjective Evolutionary Algorithms With Theoretical Guarantee. IEEE Trans. Evol. Comput. 22 (4) (2018)
Chao Qian, Yang Yu, Ke Tang, Yaochu Jin, Xin Yao, Zhi-Hua Zhou
On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments. Evol. Comput. 26 (2) (2018)
Wu Jiang, Chao Qian, Ke Tang
Improved Running Time Analysis of the (1+1)-ES on the Sphere Function. ICIC (1) (2018)
Chao Bian, Chao Qian, Ke Tang
Towards a Running Time Analysis of the (1+1)-EA for OneMax and LeadingOnes Under General Bit-Wise Noise. PPSN (2) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chao Qian