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ORCIDChao Bian 0002
Person information
- affiliation: Nanjing University, Nanjing, China
- affiliation (former): University of Science and Technology, Hefei, China
Other persons with the same name
- Chao Bian 0001
![[0000-0001-9904-721X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9904-721X")
— Chinese Academy of Sciences, Beijing, China - Chao Bian 0004 — University of Toronto, Canada
- Chao Bian 0005 — Tencent Technology Co., Ltd
- Chao Bian 0006 — ByteDance Lark AI, Beijing, China
- Chao Bian 0007 — Dalian University of Technology, School of Energy and Power Engineering, China
- Chao Bian 0008 — TikTok, Australia
Other persons with a similar name
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2020 – today
- 2025
[j6]Chao Bian, Yawen Zhou, Miqing Li, Chao Qian:
Stochastic population update can provably be helpful in multi-objective evolutionary algorithms. Artif. Intell. 341: 104308 (2025)- 2024
- [j5]Yu-Ran Gu, Chao Bian, Miqing Li, Chao Qian:
Subset Selection for Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 28(2): 403-417 (2024) - [c17]Tianhao Lu, Chao Bian, Chao Qian:
Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms. AAAI 2024: 20777-20785 - [c16]Zeqiong Lv, Chao Bian, Chao Qian, Yanan Sun:
Runtime Analysis of Population-based Evolutionary Neural Architecture Search for a Binary Classification Problem. GECCO 2024 - [c15]Chao Bian, Shengjie Ren, Miqing Li, Chao Qian:
An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms. IJCAI 2024: 6905-6913 - [c14]Shengjie Ren, Zhijia Qiu, Chao Bian, Miqing Li, Chao Qian:
Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization. IJCAI 2024: 7012-7020 - [c13]Shengjie Ren, Chao Bian, Miqing Li, Chao Qian:
A First Running Time Analysis of the Strength Pareto Evolutionary Algorithm 2 (SPEA2). PPSN (3) 2024: 295-312 - [i12]Chao Bian, Shengjie Ren, Miqing Li, Chao Qian:
An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms. CoRR abs/2406.02118 (2024) - [i11]Shengjie Ren, Zhijia Qiu, Chao Bian, Miqing Li, Chao Qian:
Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization. CoRR abs/2406.02658 (2024) - [i10]Shengjie Ren, Chao Bian, Miqing Li, Chao Qian:
A First Running Time Analysis of the Strength Pareto Evolutionary Algorithm 2 (SPEA2). CoRR abs/2406.16116 (2024) - 2023
- [c12]Yu-Ran Gu, Chao Bian, Chao Qian:
Submodular Maximization under the Intersection of Matroid and Knapsack Constraints. AAAI 2023: 3959-3967 - [c11]Chao Bian, Yawen Zhou, Miqing Li, Chao Qian:
Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms. IJCAI 2023: 5513-5521 - [i9]Chao Bian, Yawen Zhou, Miqing Li, Chao Qian:
Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms. CoRR abs/2306.02611 (2023) - [i8]Yu-Ran Gu, Chao Bian, Chao Qian:
Submodular Maximization under the Intersection of Matroid and Knapsack Constraints. CoRR abs/2307.09487 (2023) - [i7]Tianhao Lu, Chao Bian, Chao Qian:
Towards Running Time Analysis of Interactive Multi-objective Evolutionary Algorithms. CoRR abs/2310.08384 (2023) - 2022
- [c10]Chao Bian, Yawen Zhou, Chao Qian:
Robust Subset Selection by Greedy and Evolutionary Pareto Optimization. IJCAI 2022: 4726-4732 - [c9]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: 428-441 - [c8]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: 512-525 - [i6]Chao Bian, Chao Qian:
Running Time Analysis of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) using Binary or Stochastic Tournament Selection. CoRR abs/2203.11550 (2022) - [i5]Chao Bian, Yawen Zhou, Chao Qian:
Robust Subset Selection by Greedy and Evolutionary Pareto Optimization. CoRR abs/2205.01415 (2022) - 2021
- [j4]Chao Qian, Chao Bian, Yang Yu, Ke Tang, Xin Yao:
Analysis of Noisy Evolutionary Optimization When Sampling Fails. Algorithmica 83(4): 940-975 (2021) - [j3]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) - [c7]Chao Bian, Chao Qian, Frank Neumann, Yang Yu:
Fast Pareto Optimization for Subset Selection with Dynamic Cost Constraints. IJCAI 2021: 2191-2197 - 2020
- [j2]Chao Bian, Chao Qian, Ke Tang, Yang Yu:
Running time analysis of the (1+1)-EA for robust linear optimization. Theor. Comput. Sci. 843: 57-72 (2020) - [c6]Chao Qian, Chao Bian, Chao Feng:
Subset Selection by Pareto Optimization with Recombination. AAAI 2020: 2408-2415 - [c5]Chao Bian, Chao Feng, Chao Qian, Yang Yu:
An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints. AAAI 2020: 3267-3274
2010 – 2019
- 2019
- [j1]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): 749-795 (2019) - [i4]Chao Bian, Chao Qian, Ke Tang:
Running Time Analysis of the (1+1)-EA for Robust Linear Optimization. CoRR abs/1906.06873 (2019) - [i3]Chao Bian, Chao Qian, Yang Yu:
On the Robustness of Median Sampling in Noisy Evolutionary Optimization. CoRR abs/1907.13100 (2019) - 2018
- [c4]Chao Qian, Chao Bian, Yang Yu, Ke Tang, Xin Yao:
Analysis of noisy evolutionary optimization when sampling fails. GECCO 2018: 1507-1514 - [c3]Chao Bian, Chao Qian, Ke Tang:
A General Approach to Running Time Analysis of Multi-objective Evolutionary Algorithms. IJCAI 2018: 1405-1411 - [c2]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: 165-177 - [i2]Chao Qian, Chao Bian, Yang Yu, Ke Tang, Xin Yao:
Analysis of Noisy Evolutionary Optimization When Sampling Fails. CoRR abs/1810.05045 (2018) - 2017
- [c1]Chao Qian, Chao Bian, Wu Jiang, Ke Tang:
Running time analysis of the (1+1)-EA for onemax and leadingones under bit-wise noise. GECCO 2017: 1399-1406 - [i1]Chao Qian, Chao Bian, Wu Jiang, Ke Tang:
Running Time Analysis of the (1+1)-EA for OneMax and LeadingOnes under Bit-wise Noise. CoRR abs/1711.00956 (2017)
Coauthor Index
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