Chao Qian
Orcid: 0000-0001-6011-2512Affiliations:
- Nanjing University, State Key Laboratory for Novel Software Technology, China
- University of Science and Technology of China, School of Computer Science and Technology, Hefei, China (former)
- University of Science and Technology of China, School of Computer Science and Technology, Hefei, China
- Nanjing University, State Key Laboratory for Novel Software Technology, China (PhD 2015)
According to our database1,
Chao Qian
authored at least 103 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Evol. Comput., April, 2024
IEEE Trans. Neural Networks Learn. Syst., February, 2024
CoRR, 2024
Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Theor. Comput. Sci., March, 2023
Multi-objective evolutionary algorithms are generally good: Maximizing monotone submodular functions over sequences.
Theor. Comput. Sci., 2023
Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy.
CoRR, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Analysis of Expected Hitting Time for Designing Evolutionary Neural Architecture Search Algorithms.
CoRR, 2022
Running Time Analysis of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) using Binary or Stochastic Tournament Selection.
CoRR, 2022
Result diversification by multi-objective evolutionary algorithms with theoretical guarantees.
Artif. Intell., 2022
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022
Running Time Analysis of the (1+1)-EA Using Surrogate Models on OneMax and LeadingOnes.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
Better Running Time of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) by Using Stochastic Tournament Selection.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Evolutionary Diversity Optimization with Clustering-based Selection for Reinforcement Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
2021
Efficient Minimum Cost Seed Selection With Theoretical Guarantees for Competitive Influence Maximization.
IEEE Trans. Cybern., 2021
Multiobjective Evolutionary Algorithms Are Still Good: Maximizing Monotone Approximately Submodular Minus Modular Functions.
Evol. Comput., 2021
Sci. China Inf. Sci., 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
Multi-Objective Submodular Maximization by Regret Ratio Minimization with Theoretical Guarantee.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Evol. Comput., 2020
Theor. Comput. Sci., 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Multi-objective Evolutionary Algorithms are Still Good: Maximizing Monotone Approximately Submodular Minus Modular Functions.
CoRR, 2019
Running Time Analysis of the ( $$1+1$$ 1 + 1 )-EA for OneMax and LeadingOnes Under Bit-Wise Noise.
Algorithmica, 2019
Maximizing submodular or monotone approximately submodular functions by multi-objective evolutionary algorithms.
Artif. Intell., 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Springer, ISBN: 978-981-13-5955-2, 2019
2018
Constrained Monotone k-Submodular Function Maximization Using Multiobjective Evolutionary Algorithms With Theoretical Guarantee.
IEEE Trans. Evol. Comput., 2018
On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments.
Evol. Comput., 2018
Maximizing Monotone DR-submodular Continuous Functions by Derivative-free Optimization.
CoRR, 2018
Towards a Running Time Analysis of the (1+1)-EA for OneMax and LeadingOnes Under General Bit-Wise Noise.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
A General Approach to Running Time Analysis of Multi-objective Evolutionary Algorithms.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
Proceedings of the Intelligent Computing Theories and Application, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Maximizing Non-monotone/Non-submodular Functions by Multi-objective Evolutionary Algorithms.
CoRR, 2017
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Running time analysis of the (1+1)-EA for onemax and leadingones under bit-wise noise.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Selection Hyper-heuristics Can Provably Be Helpful in Evolutionary Multi-objective Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
A Lower Bound Analysis of Population-Based Evolutionary Algorithms for Pseudo-Boolean Functions.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
IEEE Trans. Evol. Comput., 2015
Sci. China Inf. Sci., 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014
2013
Artif. Intell., 2013
2012
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012
2011
Towards Analyzing Crossover Operators in Evolutionary Search via General Markov Chain Switching Theorem
CoRR, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
2010
Proceedings of the Parallel Problem Solving from Nature, 2010