Chao Qian - RankMe

201 papers A* 56A 8B 7C 1Journal 100Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advancing Automated Algorithm Design via Evolutionary Stagewise Design with LLMs. CoRR Chen Lu, Ke Xue, Chengrui Gao, Yunqi Shi, Siyuan Xu, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou
2026	J	`jnl`	Diversity from human feedback. Frontiers Comput. Sci. Ren-Jian Wang, Ke Xue, Yutong Wang, Peng Yang, Haobo Fu, Qiang Fu, Chao Qian
2026	A*	`conf`	Not Just for Archiving: Provable Benefits of Reusing the Archive in Evolutionary Multi-objective Optimization. AAAI Shengjie Ren, Zimin Liang, Miqing Li, Chao Qian
2026	J	`jnl`	On the Learnability of Offline Model-Based Optimization: A Ranking Perspective. CoRR Shen-Huan Lyu, Rong-Xi Tan, Ke Xue, Yi-Xiao He, Yu Huang, Qingfu Zhang, Chao Qian
2026	B	`ed.`	PRICAI 2025: Trends in Artificial Intelligence - 22nd Pacific Rim International Conference on Artificial Intelligence, PRICAI 2025, Wellington, New Zealand, November 17-21, 2025, Proceedings, Part I PRICAI Yi Mei, Chao Qian, Quan Bai, Bing Xue, Sankalp Khanna
2026	B	`ed.`	PRICAI 2025: Trends in Artificial Intelligence - 22nd Pacific Rim International Conference on Artificial Intelligence, PRICAI 2025, Wellington, New Zealand, November 17-21, 2025, Proceedings, Part II PRICAI Yi Mei, Chao Qian, Quan Bai, Bing Xue, Sankalp Khanna
2026	—	`ed.`	PRICAI 2025: Trends in Artificial Intelligence - 22nd Pacific Rim International Conference on Artificial Intelligence, PRICAI 2025, Wellington, New Zealand, November 17-21, 2025, Proceedings, Part IV PRICAI (4) Yi Mei, Chao Qian, Quan Bai, Bing Xue, Sankalp Khanna
2025	A*	`conf`	A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization. IJCAI Shengjie Ren, Zimin Liang, Miqing Li, Chao Qian
2025	—	`conf`	An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms. GECCO Companion Chao Bian, Shengjie Ren, Miqing Li, Chao Qian
2025	J	`jnl`	BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement. CoRR Ke Xue, Ruo-Tong Chen, Rong-Xi Tan, Xi Lin, Yunqi Shi, Siyuan Xu, Mingxuan Yuan, Chao Qian
2025	J	`jnl`	Beyond Token-level Supervision: Unlocking the Potential of Decoding-based Regression via Reinforcement Learning. CoRR Ming Chen, Sheng Tang, Rong-Xi Tan, Ziniu Li, Jiacheng Chen, Ke Xue, Chao Qian
2025	J	`jnl`	Heterogeneous Multiagent Zero-Shot Coordination by Coevolution. IEEE Trans. Evol. Comput. Ke Xue, Yutong Wang, Cong Guan, Lei Yuan, Haobo Fu, Qiang Fu, Chao Qian, Yang Yu
2025	—	`conf`	Hot off the Press: Can Evolutionary Clustering Have Theoretical Guarantees? GECCO Companion Chao Qian
2025	—	`conf`	Hot off the Press: Quality-Diversity Algorithms Can Provably Be Helpful for Optimization. GECCO Companion Chao Qian, Ke Xue, Ren-Jian Wang
2025	—	`conf`	How to Train Algorithm Selection Models: Insights from Black-box Continuous Optimization. GECCO Companion Xiao He, Haopu Shang, Chao Qian
2025	A*	`conf`	Improved Theoretically-Grounded Evolutionary Algorithms for Subset Selection with a Linear Cost Constraint. ICML Dan-Xuan Liu, Chao Qian
2025	—	`conf`	MGDA/D: A Multiple Gradient Descent Algorithm Based on Decomposition. GECCO Companion Yawen Zhou, Ke Xue, Chao Qian
2025	—	`conf`	Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization. GECCO Companion Shengjie Ren, Zhijia Qiu, Chao Bian, Miqing Li, Chao Qian
2025	J	`jnl`	Many-to-Few Decomposition: Linking R2-Based and Decomposition-Based Multiobjective Efficient Global Optimization Algorithms. IEEE Trans. Evol. Comput. Liang Zhao, Xiaobin Huang, Chao Qian, Qingfu Zhang
2025	J	`jnl`	Migrant Resettlement by Evolutionary Multiobjective Optimization. IEEE Trans. Artif. Intell. Dan-Xuan Liu, Yu-Ran Gu, Chao Qian, Xin Mu, Ke Tang
2025	A*	`conf`	Neural Solver Selection for Combinatorial Optimization. ICML Chengrui Gao, Haopu Shang, Ke Xue, Chao Qian
2025	J	`jnl`	Not Just for Archiving: Provable Benefits of Reusing the Archive in Evolutionary Multi-objective Optimization. CoRR Shengjie Ren, Zimin Liang, Miqing Li, Chao Qian
2025	A*	`conf`	Offline Model-Based Optimization by Learning to Rank. ICLR Rong-Xi Tan, Ke Xue, Shen-Huan Lyu, Haopu Shang, Yao Wang, Yaoyuan Wang, Sheng Fu, Chao Qian
2025	J	`jnl`	Open and real-world human-AI coordination by heterogeneous training with communication. Frontiers Comput. Sci. Cong Guan, Ke Xue, Chunpeng Fan, Feng Chen, Lichao Zhang, Lei Yuan, Chao Qian, Yang Yu
2025	J	`jnl`	Open3DBench: Open-Source Benchmark for 3D-IC Backend Implementation and PPA Evaluation. CoRR Yunqi Shi, Chengrui Gao, Wanqi Ren, Siyuan Xu, Ke Xue, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou
2025	—	`conf`	Pareto Optimization for Subset Selection: Theories and Practical Algorithms. GECCO Companion Chao Qian
2025	J	`jnl`	Pareto Optimization with Robust Evaluation for Noisy Subset Selection. CoRR Yi-Heng Xu, Dan-Xuan Liu, Chao Qian
2025	A*	`conf`	Pareto Set Learning for Multi-Objective Reinforcement Learning. AAAI Erlong Liu, Yu-Chang Wu, Xiaobin Huang, Chengrui Gao, Ren-Jian Wang, Ke Xue, Chao Qian
2025	J	`jnl`	Pareto Set Learning for Multi-Objective Reinforcement Learning. CoRR Erlong Liu, Yu-Chang Wu, Xiaobin Huang, Chengrui Gao, Ren-Jian Wang, Ke Xue, Chao Qian
2025	J	`jnl`	Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models. CoRR Ren-Jian Wang, Ke Xue, Zeyu Qin, Ziniu Li, Sheng Tang, Hao-Tian Li, Shengcai Liu, Chao Qian
2025	J	`jnl`	Re CoRR Yunqi Shi, Xi Lin, Zhiang Wang, Siyuan Xu, Shixiong Kai, Yao Lai, Chengrui Gao, Ke Xue, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou
2025	J	`jnl`	ReLAM: Learning Anticipation Model for Rewarding Visual Robotic Manipulation. CoRR Nan Tang, Jing-Cheng Pang, Guanlin Li, Chao Qian, Yang Yu
2025	A*	`conf`	ReMaP: Macro Placement by Recursively Prototyping and Periphery-Guided Relocating. DAC Yunqi Shi, Xi Lin, Siyuan Xu, Shixiong Kai, Ke Xue, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou
2025	A*	`conf`	Reinforced In-Context Black-Box Optimization. IJCAI Lei Song, Chen-Xiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian
2025	A*	`conf`	Runtime Analysis of Evolutionary NAS for Multiclass Classification. ICML Zeqiong Lv, Chao Qian, Yun Liu, Jiahao Fan, Yanan Sun
2025	J	`jnl`	Runtime Analysis of Evolutionary NAS for Multiclass Classification. CoRR Zeqiong Lv, Chao Qian, Yun Liu, Jiahao Fan, Yanan Sun
2025	J	`jnl`	Sequential Multi-Agent Dynamic Algorithm Configuration. CoRR Chen Lu, Ke Xue, Lei Yuan, Yao Wang, Yaoyuan Wang, Sheng Fu, Chao Qian
2025	J	`jnl`	Stochastic Population Update Provably Needs An Archive in Evolutionary Multi-objective Optimization. CoRR Shengjie Ren, Zimin Liang, Miqing Li, Chao Qian
2025	J	`jnl`	Stochastic population update can provably be helpful in multi-objective evolutionary algorithms. Artif. Intell. Chao Bian, Yawen Zhou, Miqing Li, Chao Qian
2025	A	`conf`	Timing-Driven Global Placement by Efficient Critical Path Extraction. DATE Yunqi Shi, Siyuan Xu, Shixiong Kai, Xi Lin, Ke Xue, Mingxuan Yuan, Chao Qian
2025	J	`jnl`	Timing-Driven Global Placement by Efficient Critical Path Extraction. CoRR Yunqi Shi, Siyuan Xu, Shixiong Kai, Xi Lin, Ke Xue, Mingxuan Yuan, Chao Qian
2025	—	`conf`	Towards Running Time Analysis of Interactive Multi-objective Evolutionary Algorithms. GECCO Companion Tianhao Lu, Chao Bian, Chao Qian
2025	A*	`conf`	Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings. ICML Rong-Xi Tan, Ming Chen, Ke Xue, Yao Wang, Yaoyuan Wang, Sheng Fu, Chao Qian
2025	J	`jnl`	Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings. CoRR Rong-Xi Tan, Ming Chen, Ke Xue, Yao Wang, Yaoyuan Wang, Sheng Fu, Chao Qian
2024	—	`conf`	A First Running Time Analysis of the Strength Pareto Evolutionary Algorithm 2 (SPEA2). PPSN (3) Shengjie Ren, Chao Bian, Miqing Li, Chao Qian
2024	J	`jnl`	A First Running Time Analysis of the Strength Pareto Evolutionary Algorithm 2 (SPEA2). CoRR Shengjie Ren, Chao Bian, Miqing Li, Chao Qian
2024	J	`jnl`	A First Step Towards Runtime Analysis of Evolutionary Neural Architecture Search. CoRR Zeqiong Lv, Chao Qian, Yanan Sun
2024	A*	`conf`	An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms. IJCAI Chao Bian, Shengjie Ren, Miqing Li, Chao Qian
2024	J	`jnl`	An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms. CoRR Chao Bian, Shengjie Ren, Miqing Li, Chao Qian
2024	J	`jnl`	Analyzing the Expected Hitting Time of Evolutionary Computation-Based Neural Architecture Search Algorithms. IEEE Trans. Emerg. Top. Comput. Intell. Zeqiong Lv, Chao Qian, Gary G. Yen, Yanan Sun
2024	J	`jnl`	Benchmarking Analysis of Evolutionary Neural Architecture Search. IEEE Trans. Evol. Comput. Zeqiong Lv, Chao Qian, Yanan Sun
2024	—	`conf`	Biased Pareto Optimization for Subset Selection with Dynamic Cost Constraints. PPSN (4) Dan-Xuan Liu, Chao Qian
2024	J	`jnl`	Biased Pareto Optimization for Subset Selection with Dynamic Cost Constraints. CoRR Dan-Xuan Liu, Chao Qian
2024	J	`jnl`	Can Evolutionary Clustering Have Theoretical Guarantees? IEEE Trans. Evol. Comput. Chao Qian
2024	A*	`conf`	Confidence-aware Contrastive Learning for Selective Classification. ICML Yu-Chang Wu, Shen-Huan Lyu, Haopu Shang, Xiangyu Wang, Chao Qian
2024	J	`jnl`	Confidence-aware Contrastive Learning for Selective Classification. CoRR Yu-Chang Wu, Shen-Huan Lyu, Haopu Shang, Xiangyu Wang, Chao Qian
2024	J	`jnl`	Detection-Rate-Emphasized Multi-objective Evolutionary Feature Selection for Network Intrusion Detection. CoRR Zi-Hang Cheng, Haopu Shang, Chao Qian
2024	J	`jnl`	Effective and Imperceptible Adversarial Textual Attack Via Multi-objectivization. ACM Trans. Evol. Learn. Optim. Shengcai Liu, Ning Lu, Wenjing Hong, Chao Qian, Ke Tang
2024	J	`jnl`	Escaping Local Optima in Global Placement. CoRR Ke Xue, Xi Lin, Yunqi Shi, Shixiong Kai, Siyuan Xu, Chao Qian
2024	—	`conf`	Instance-Label Based Multi-Label Active Learning by Evolutionary Multi-Objective Optimization. GECCO Companion Yuheng Zhou, Haopu Shang, Yu-Chang Wu, Chao Qian
2024	A*	`conf`	Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization. IJCAI Shengjie Ren, Zhijia Qiu, Chao Bian, Miqing Li, Chao Qian
2024	J	`jnl`	Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization. CoRR Shengjie Ren, Zhijia Qiu, Chao Bian, Miqing Li, Chao Qian
2024	J	`jnl`	Margin distribution and structural diversity guided ensemble pruning. Mach. Learn. Yi-Xiao He, Yu-Chang Wu, Chao Qian, Zhi-Hua Zhou
2024	A*	`conf`	Monte Carlo Tree Search based Space Transfer for Black Box Optimization. NeurIPS Shukuan Wang, Ke Xue, Lei Song, Xiaobin Huang, Chao Qian
2024	J	`jnl`	Monte Carlo Tree Search based Space Transfer for Black-box Optimization. CoRR Shukuan Wang, Ke Xue, Lei Song, Xiaobin Huang, Chao Qian
2024	J	`jnl`	Multi-class imbalance problem: A multi-objective solution. Inf. Sci. Yi-Xiao He, Dan-Xuan Liu, Shen-Huan Lyu, Chao Qian, Zhi-Hua Zhou
2024	J	`jnl`	Neural Solver Selection for Combinatorial Optimization. CoRR Chengrui Gao, Haopu Shang, Ke Xue, Chao Qian
2024	J	`jnl`	Offline Model-Based Optimization by Learning to Rank. CoRR Rong-Xi Tan, Ke Xue, Shen-Huan Lyu, Haopu Shang, Yao Wang, Yaoyuan Wang, Sheng Fu, Chao Qian
2024	A*	`conf`	Offline Multi-Objective Optimization. ICML Ke Xue, Rong-Xi Tan, Xiaobin Huang, Chao Qian
2024	J	`jnl`	Offline Multi-Objective Optimization. CoRR Ke Xue, Rong-Xi Tan, Xiaobin Huang, Chao Qian
2024	J	`jnl`	One by One, Continual Coordinating with Humans via Hyper-Teammate Identification. Trans. Mach. Learn. Res. Cong Guan, Feng Chen, Ke Xue, Chunpeng Fan, Lichao Zhang, Ziqian Zhang, Pengyao Zhao, Zongzhang Zhang, Chao Qian, Lei Yuan, Yang Yu
2024	A*	`conf`	Peptide Vaccine Design by Evolutionary Multi-Objective Optimization. IJCAI Dan-Xuan Liu, Yi-Heng Xu, Chao Qian
2024	J	`jnl`	Peptide Vaccine Design by Evolutionary Multi-Objective Optimization. CoRR Dan-Xuan Liu, Yi-Heng Xu, Chao Qian
2024	A*	`conf`	Quality-Diversity Algorithms Can Provably Be Helpful for Optimization. IJCAI Chao Qian, Ke Xue, Ren-Jian Wang
2024	J	`jnl`	Quality-Diversity Algorithms Can Provably Be Helpful for Optimization. CoRR Chao Qian, Ke Xue, Ren-Jian Wang
2024	A*	`conf`	Quality-Diversity with Limited Resources. ICML Ren-Jian Wang, Ke Xue, Cong Guan, Chao Qian
2024	J	`jnl`	Quality-Diversity with Limited Resources. CoRR Ren-Jian Wang, Ke Xue, Cong Guan, Chao Qian
2024	J	`jnl`	Reinforced In-Context Black-Box Optimization. CoRR Lei Song, Chenxiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian
2024	A*	`conf`	Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer. NeurIPS Ke Xue, Ruo-Tong Chen, Xi Lin, Yunqi Shi, Shixiong Kai, Siyuan Xu, Chao Qian
2024	J	`jnl`	Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer. CoRR Ke Xue, Ruo-Tong Chen, Xi Lin, Yunqi Shi, Shixiong Kai, Siyuan Xu, Chao Qian
2024	A	`conf`	Runtime Analysis of Population-based Evolutionary Neural Architecture Search for a Binary Classification Problem. GECCO Zeqiong Lv, Chao Bian, Chao Qian, Yanan Sun
2024	A*	`conf`	Sample-Efficient Quality-Diversity by Cooperative Coevolution. ICLR Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye Hao, Chao Qian
2024	J	`jnl`	Stage-Wise Magnitude-Based Pruning for Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Guiying Li, Peng Yang, Chao Qian, Richang Hong, Ke Tang
2024	A*	`conf`	Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation. AAAI Xiaobin Huang, Lei Song, Ke Xue, Chao Qian
2024	J	`jnl`	Subset Selection for Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. Yu-Ran Gu, Chao Bian, Miqing Li, Chao Qian
2024	A*	`conf`	Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy. IJCAI Chengrui Gao, Haopu Shang, Ke Xue, Dong Li, Chao Qian
2024	A*	`conf`	Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms. AAAI Tianhao Lu, Chao Bian, Chao Qian
2023	B	`conf`	Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler. CEC Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bäck
2023	J	`jnl`	Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler. CoRR Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bäck
2023	J	`jnl`	Diversity from Human Feedback. CoRR Ren-Jian Wang, Ke Xue, Yutong Wang, Peng Yang, Haobo Fu, Qiang Fu, Chao Qian
2023	A	`conf`	Fast Teammate Adaptation in the Presence of Sudden Policy Change. UAI Ziqian Zhang, Lei Yuan, Lihe Li, Ke Xue, Chengxing Jia, Cong Guan, Chao Qian, Yang Yu
2023	J	`jnl`	Fast Teammate Adaptation in the Presence of Sudden Policy Change. CoRR Ziqian Zhang, Lei Yuan, Lihe Li, Ke Xue, Chengxing Jia, Cong Guan, Chao Qian, Yang Yu
2023	A*	`conf`	Human Assisted Learning by Evolutionary Multi-Objective Optimization. AAAI Dan-Xuan Liu, Xin Mu, Chao Qian
2023	A*	`conf`	Macro Placement by Wire-Mask-Guided Black-Box Optimization. NeurIPS Yunqi Shi, Ke Xue, Song Lei, Chao Qian
2023	J	`jnl`	Macro Placement by Wire-Mask-Guided Black-Box Optimization. CoRR Yunqi Shi, Ke Xue, Lei Song, Chao Qian
2023	J	`jnl`	Migrant Resettlement by Evolutionary Multi-objective Optimization. CoRR Dan-Xuan Liu, Yu-Ran Gu, Chao Qian, Xin Mu, Ke Tang
2023	A*	`conf`	Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting. IJCAI Ren-Jian Wang, Ke Xue, Haopu Shang, Chao Qian, Haobo Fu, Qiang Fu
2023	J	`jnl`	Multi-objective evolutionary algorithms are generally good: Maximizing monotone submodular functions over sequences. Theor. Comput. Sci. Chao Qian, Dan-Xuan Liu, Chao Feng, Ke Tang
2023	A*	`conf`	Quality-Similar Diversity via Population Based Reinforcement Learning. ICLR Shuang Wu, Jian Yao, Haobo Fu, Ye Tian, Chao Qian, Yaodong Yang, Qiang Fu, Wei Yang
2023	A*	`conf`	Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers. AAAI Lei Yuan, Ziqian Zhang, Ke Xue, Hao Yin, Feng Chen, Cong Guan, Lihe Li, Chao Qian, Yang Yu
2023	J	`jnl`	Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers. CoRR Lei Yuan, Ziqian Zhang, Ke Xue, Hao Yin, Feng Chen, Cong Guan, Lihe Li, Chao Qian, Yang Yu
2023	J	`jnl`	Special Issue on Theoretical Foundations of Evolutionary Computation. Theor. Comput. Sci. Per Kristian Lehre, Aneta Neumann, Chao Qian
2023	J	`jnl`	Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation. CoRR Xiaobin Huang, Lei Song, Ke Xue, Chao Qian
2023	A*	`conf`	Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms. IJCAI Chao Bian, Yawen Zhou, Miqing Li, Chao Qian
2023	J	`jnl`	Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms. CoRR Chao Bian, Yawen Zhou, Miqing Li, Chao Qian
2023	A*	`conf`	Submodular Maximization under the Intersection of Matroid and Knapsack Constraints. AAAI Yu-Ran Gu, Chao Bian, Chao Qian
2023	J	`jnl`	Submodular Maximization under the Intersection of Matroid and Knapsack Constraints. CoRR Yu-Ran Gu, Chao Bian, Chao Qian
2023	J	`jnl`	Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy. CoRR Chengrui Gao, Haopu Shang, Ke Xue, Dong Li, Chao Qian
2023	J	`jnl`	Towards Running Time Analysis of Interactive Multi-objective Evolutionary Algorithms. CoRR Tianhao Lu, Chao Bian, Chao Qian
2022	J	`jnl`	Analysis of Expected Hitting Time for Designing Evolutionary Neural Architecture Search Algorithms. CoRR Zeqiong Lv, Chao Qian, Gary G. Yen, Yanan Sun
2022	—	`conf`	Better Running Time of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) by Using Stochastic Tournament Selection. PPSN (2) Chao Bian, Chao Qian
2022	J	`jnl`	Can Evolutionary Clustering Have Theoretical Guarantees? CoRR Chao Qian
2022	A*	`conf`	Evolutionary Diversity Optimization with Clustering-based Selection for Reinforcement Learning. ICLR Yutong Wang, Ke Xue, Chao Qian
2022	—	`conf`	Evolutionary submodular optimisation: tutorial. GECCO Companion Aneta Neumann, Frank Neumann, Chao Qian
2022	J	`jnl`	Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution. CoRR Ke Xue, Yutong Wang, Lei Yuan, Cong Guan, Chao Qian, Yang Yu
2022	A*	`conf`	Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization. NeurIPS Lei Song, Ke Xue, Xiaobin Huang, Chao Qian
2022	J	`jnl`	Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization. CoRR Lei Song, Ke Xue, Xiaobin Huang, Chao Qian
2022	A*	`conf`	Multi-agent Dynamic Algorithm Configuration. NeurIPS Ke Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, Yang Yu
2022	J	`jnl`	Multi-agent Dynamic Algorithm Configuration. CoRR Ke Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, Yang Yu
2022	—	`conf`	Multi-objective Evolutionary Ensemble Pruning Guided by Margin Distribution. PPSN (1) Yu-Chang Wu, Yi-Xiao He, Chao Qian, Zhi-Hua Zhou
2022	—	`conf`	Multi-objective Evolutionary Instance Selection for Multi-label Classification. PRICAI (1) Dingming Liu, Haopu Shang, Wenjing Hong, Chao Qian
2022	A*	`conf`	Neural Network Pruning by Cooperative Coevolution. IJCAI Haopu Shang, Jia-Liang Wu, Wenjing Hong, Chao Qian
2022	J	`jnl`	Neural Network Pruning by Cooperative Coevolution. CoRR Haopu Shang, Jia-Liang Wu, Wenjing Hong, Chao Qian
2022	J	`jnl`	Result diversification by multi-objective evolutionary algorithms with theoretical guarantees. Artif. Intell. Chao Qian, Dan-Xuan Liu, Zhi-Hua Zhou
2022	—	`conf`	Robust Neural Network Pruning by Cooperative Coevolution. PPSN (1) Jia-Liang Wu, Haopu Shang, Wenjing Hong, Chao Qian
2022	A*	`conf`	Robust Subset Selection by Greedy and Evolutionary Pareto Optimization. IJCAI Chao Bian, Yawen Zhou, Chao Qian
2022	J	`jnl`	Robust Subset Selection by Greedy and Evolutionary Pareto Optimization. CoRR Chao Bian, Yawen Zhou, Chao Qian
2022	—	`conf`	Running Time Analysis of the (1+1)-EA Using Surrogate Models on OneMax and LeadingOnes. PPSN (2) Zi-An Zhang, Chao Bian, Chao Qian
2022	J	`jnl`	Running Time Analysis of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) using Binary or Stochastic Tournament Selection. CoRR Chao Bian, Chao Qian
2022	A*	`conf`	Towards Theoretically Grounded Evolutionary Learning. IJCAI Chao Qian
2022	J	`jnl`	ZOOpt: a toolbox for derivative-free optimization. Sci. China Inf. Sci. Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Chao Qian, Yang Yu
2021	J	`jnl`	Analysis of Noisy Evolutionary Optimization When Sampling Fails. Algorithmica Chao Qian, Chao Bian, Yang Yu, Ke Tang, Xin Yao
2021	J	`jnl`	Efficient Minimum Cost Seed Selection With Theoretical Guarantees for Competitive Influence Maximization. IEEE Trans. Cybern. Wenjing Hong, Chao Qian, Ke Tang
2021	A*	`conf`	Evolutionary Gradient Descent for Non-convex Optimization. IJCAI Ke Xue, Chao Qian, Ling Xu, Xudong Fei
2021	—	`conf`	Evolutionary submodular optimisation. GECCO Companion Aneta Neumann, Frank Neumann, Chao Qian
2021	A*	`conf`	Fast Pareto Optimization for Subset Selection with Dynamic Cost Constraints. IJCAI Chao Bian, Chao Qian, Frank Neumann, Yang Yu
2021	J	`jnl`	HydraText: Multi-objective Optimization for Adversarial Textual Attack. CoRR Shengcai Liu, Ning Lu, Cheng Chen, Chao Qian, Ke Tang
2021	A*	`conf`	Multi-Objective Submodular Maximization by Regret Ratio Minimization with Theoretical Guarantee. AAAI Chao Feng, Chao Qian
2021	J	`jnl`	Multi-objective Evolutionary Algorithms are Generally Good: Maximizing Monotone Submodular Functions over Sequences. CoRR Chao Qian, Dan-Xuan Liu, Chao Feng, Ke Tang
2021	J	`jnl`	Multiobjective Evolutionary Algorithms Are Still Good: Maximizing Monotone Approximately Submodular Minus Modular Functions. Evol. Comput. Chao Qian
2021	J	`jnl`	On the robustness of median sampling in noisy evolutionary optimization. Sci. China Inf. Sci. Chao Bian, Chao Qian, Yang Yu, Ke Tang
2021	B	`conf`	Prediction Guided Meta-Learning for Multi-Objective Reinforcement Learning. CEC Fei-Yu Liu, Chao Qian
2021	J	`jnl`	Result Diversification by Multi-objective Evolutionary Algorithms with Theoretical Guarantees. CoRR Chao Qian, Dan-Xuan Liu, Zhi-Hua Zhou
2020	A*	`conf`	An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints. AAAI Chao Bian, Chao Feng, Chao Qian, Yang Yu
2020	A*	`conf`	Bayesian Optimization using Pseudo-Points. IJCAI Chao Qian, Hang Xiong, Ke Xue
2020	J	`jnl`	Distributed Pareto Optimization for Large-Scale Noisy Subset Selection. IEEE Trans. Evol. Comput. Chao Qian
2020	J	`jnl`	Running time analysis of the (1+1)-EA for robust linear optimization. Theor. Comput. Sci. Chao Bian, Chao Qian, Ke Tang, Yang Yu
2020	A*	`conf`	Self-Guided Evolution Strategies with Historical Estimated Gradients. IJCAI Fei-Yu Liu, Zi-Niu Li, Chao Qian
2020	A*	`conf`	Subset Selection by Pareto Optimization with Recombination. AAAI Chao Qian, Chao Bian, Chao Feng
2019	J	`jnl`	Bayesian Optimization using Pseudo-Points. CoRR Chao Qian, Hang Xiong
2019	—	`book`	Evolutionary Learning: Advances in Theories and Algorithms Zhi-Hua Zhou, Yang Yu, Chao Qian
2019	J	`jnl`	Maximizing submodular or monotone approximately submodular functions by multi-objective evolutionary algorithms. Artif. Intell. Chao Qian, Yang Yu, Ke Tang, Xin Yao, Zhi-Hua Zhou
2019	J	`jnl`	Multi-objective Evolutionary Algorithms are Still Good: Maximizing Monotone Approximately Submodular Minus Modular Functions. CoRR Chao Qian
2019	J	`jnl`	On the Robustness of Median Sampling in Noisy Evolutionary Optimization. CoRR Chao Bian, Chao Qian, Yang Yu
2019	J	`jnl`	Running Time Analysis of the ( $$1+1$$ 1 + 1 )-EA for OneMax and LeadingOnes Under Bit-Wise Noise. Algorithmica Chao Qian, Chao Bian, Wu Jiang, Ke Tang
2019	J	`jnl`	Running Time Analysis of the (1+1)-EA for Robust Linear Optimization. CoRR Chao Bian, Chao Qian, Ke Tang
2019	A*	`conf`	Unsupervised Feature Selection by Pareto Optimization. AAAI Chao Feng, Chao Qian, Ke Tang
2018	A*	`conf`	A General Approach to Running Time Analysis of Multi-objective Evolutionary Algorithms. IJCAI Chao Bian, Chao Qian, Ke Tang
2018	J	`jnl`	Analysis of Noisy Evolutionary Optimization When Sampling Fails. CoRR Chao Qian, Chao Bian, Yang Yu, Ke Tang, Xin Yao
2018	A	`conf`	Analysis of noisy evolutionary optimization when sampling fails. GECCO Chao Qian, Chao Bian, Yang Yu, Ke Tang, Xin Yao
2018	J	`jnl`	Analyzing Evolutionary Optimization in Noisy Environments. Evol. Comput. Chao Qian, Yang Yu, Zhi-Hua Zhou
2018	A*	`conf`	Approximation Guarantees of Stochastic Greedy Algorithms for Subset Selection. IJCAI Chao Qian, Yang Yu, Ke Tang
2018	J	`jnl`	Constrained Monotone k-Submodular Function Maximization Using Multiobjective Evolutionary Algorithms With Theoretical Guarantee. IEEE Trans. Evol. Comput. Chao Qian, Jing-Cheng Shi, Ke Tang, Zhi-Hua Zhou
2018	A*	`conf`	Distributed Pareto Optimization for Subset Selection. IJCAI Chao Qian, Guiying Li, Chao Feng, Ke Tang
2018	—	`conf`	Dynamic Mutation Based Pareto Optimization for Subset Selection. ICIC (3) Mengxi Wu, Chao Qian, Ke Tang
2018	A*	`conf`	Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error. IJCAI Chunhui Jiang, Guiying Li, Chao Qian, Ke Tang
2018	—	`conf`	Improved Running Time Analysis of the (1+1)-ES on the Sphere Function. ICIC (1) Wu Jiang, Chao Qian, Ke Tang
2018	J	`jnl`	Maximizing Monotone DR-submodular Continuous Functions by Derivative-free Optimization. CoRR Yibo Zhang, Chao Qian, Ke Tang
2018	A*	`conf`	On Multiset Selection With Size Constraints. AAAI Chao Qian, Yibo Zhang, Ke Tang, Xin Yao
2018	J	`jnl`	On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments. Evol. Comput. Chao Qian, Yang Yu, Ke Tang, Yaochu Jin, Xin Yao, Zhi-Hua Zhou
2018	A*	`conf`	Optimization based Layer-wise Magnitude-based Pruning for DNN Compression. IJCAI Guiying Li, Chao Qian, Chunhui Jiang, Xiaofen Lu, Ke Tang
2018	A*	`conf`	Sequence Selection by Pareto Optimization. IJCAI Chao Qian, Chao Feng, Ke Tang
2018	—	`conf`	Towards a Running Time Analysis of the (1+1)-EA for OneMax and LeadingOnes Under General Bit-Wise Noise. PPSN (2) Chao Bian, Chao Qian, Ke Tang
2018	J	`jnl`	ZOOpt/ZOOjl: Toolbox for Derivative-Free Optimization. CoRR Yu-Ren Liu, Yi-Qi Hu, Hong Qian, Yang Yu, Chao Qian
2017	—	`conf`	Dynamic and Adaptive Threshold for DNN Compression from Scratch. SEAL Chunhui Jiang, Guiying Li, Chao Qian
2017	B	`conf`	Evolutionary multi-objective optimization made faster by sequential decomposition. CEC Jing-Cheng Shi, Chao Qian, Yang Yu
2017	J	`jnl`	Maximizing Non-monotone/Non-submodular Functions by Multi-objective Evolutionary Algorithms. CoRR Chao Qian, Yang Yu, Ke Tang, Xin Yao, Zhi-Hua Zhou
2017	A*	`conf`	On Subset Selection with General Cost Constraints. IJCAI Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang
2017	A*	`conf`	Optimizing Ratio of Monotone Set Functions. IJCAI Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou
2017	J	`jnl`	Running Time Analysis of the (1+1)-EA for OneMax and LeadingOnes under Bit-wise Noise. CoRR Chao Qian, Chao Bian, Wu Jiang, Ke Tang
2017	A	`conf`	Running time analysis of the (1+1)-EA for onemax and leadingones under bit-wise noise. GECCO Chao Qian, Chao Bian, Wu Jiang, Ke Tang
2017	—	`conf`	Subset Selection under Noise. NIPS Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou
2016	C	`conf`	A Lower Bound Analysis of Population-Based Evolutionary Algorithms for Pseudo-Boolean Functions. IDEAL Chao Qian, Yang Yu, Zhi-Hua Zhou
2016	J	`jnl`	A Lower Bound Analysis of Population-based Evolutionary Algorithms for Pseudo-Boolean Functions. CoRR Chao Qian, Yang Yu, Zhi-Hua Zhou
2016	A*	`conf`	Parallel Pareto Optimization for Subset Selection. IJCAI Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou
2016	B	`conf`	Search based recommender system using many-objective evolutionary algorithm. CEC Bingdong Li, Chao Qian, Jinlong Li, Ke Tang, Xin Yao
2016	A	`conf`	Selection Hyper-heuristics Can Provably Be Helpful in Evolutionary Multi-objective Optimization. PPSN Chao Qian, Ke Tang, Zhi-Hua Zhou
2015	A*	`conf`	On Constrained Boolean Pareto Optimization. IJCAI Chao Qian, Yang Yu, Zhi-Hua Zhou
2015	A*	`conf`	Pareto Ensemble Pruning. AAAI Chao Qian, Yang Yu, Zhi-Hua Zhou
2015	B	`conf`	Running time analysis: Convergence-based analysis reduces to switch analysis. CEC Yang Yu, Chao Qian
2015	—	`conf`	Subset Selection by Pareto Optimization. NIPS Chao Qian, Yang Yu, Zhi-Hua Zhou
2015	J	`jnl`	Switch Analysis for Running Time Analysis of Evolutionary Algorithms. IEEE Trans. Evol. Comput. Yang Yu, Chao Qian, Zhi-Hua Zhou
2015	J	`jnl`	Variable solution structure can be helpful in evolutionary optimization. Sci. China Inf. Sci. Chao Qian, Yang Yu, Zhi-Hua Zhou
2014	A	`conf`	On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments. PPSN Chao Qian, Yang Yu, Yaochu Jin, Zhi-Hua Zhou
2013	J	`jnl`	An analysis on recombination in multi-objective evolutionary optimization. Artif. Intell. Chao Qian, Yang Yu, Zhi-Hua Zhou
2013	J	`jnl`	Analyzing Evolutionary Optimization in Noisy Environments. CoRR Chao Qian, Yang Yu, Zhi-Hua Zhou
2012	—	`conf`	On Algorithm-Dependent Boundary Case Identification for Problem Classes. PPSN (1) Chao Qian, Yang Yu, Zhi-Hua Zhou
2011	A	`conf`	An analysis on recombination in multi-objective evolutionary optimization. GECCO Chao Qian, Yang Yu, Zhi-Hua Zhou
2011	—	`conf`	Collisions are helpful for computing unique input-output sequences. GECCO (Companion) Chao Qian, Yang Yu, Zhi-Hua Zhou
2011	J	`jnl`	Towards Analyzing Crossover Operators in Evolutionary Search via General Markov Chain Switching Theorem CoRR Yang Yu, Chao Qian, Zhi-Hua Zhou
2010	—	`conf`	Towards Analyzing Recombination Operators in Evolutionary Search. PPSN (1) Yang Yu, Chao Qian, Zhi-Hua Zhou