Subset selection by Pareto optimization C Qian, Y Yu, ZH Zhou
Advances in neural information processing systems 28, 2015
170 2015 Pareto ensemble pruning C Qian, Y Yu, ZH Zhou
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
116 2015 An analysis on recombination in multi-objective evolutionary optimization C Qian, Y Yu, ZH Zhou
Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011
103 2011 Evolutionary learning: Advances in theories and algorithms ZH Zhou, Y Yu, C Qian
Springer Singapore, 2019
101 2019 On the effectiveness of sampling for evolutionary optimization in noisy environments C Qian, Y Yu, K Tang, Y Jin, X Yao, ZH Zhou
Evolutionary computation 26 (2), 237-267, 2018
67 * 2018 Subset selection under noise C Qian, JC Shi, Y Yu, K Tang, ZH Zhou
Advances in neural information processing systems 30, 2017
65 2017 On Subset Selection with General Cost Constraints. C Qian, JC Shi, Y Yu, K Tang
IJCAI 17, 2613-2619, 2017
64 2017 Optimization based layer-wise magnitude-based pruning for DNN compression. G Li, C Qian, C Jiang, X Lu, K Tang
IJCAI, 2383-2389, 2018
63 2018 Analyzing evolutionary optimization in noisy environments C Qian, Y Yu, ZH Zhou
Evolutionary computation 26 (1), 1-41, 2018
53 2018 Constrained Monotone C Qian, JC Shi, K Tang, ZH Zhou
IEEE Transactions on Evolutionary Computation 22 (4), 595-608, 2017
53 2017 Parallel Pareto Optimization for Subset Selection. C Qian, JC Shi, Y Yu, K Tang, ZH Zhou
IJCAI, 1939-1945, 2016
49 2016 Selection hyper-heuristics can provably be helpful in evolutionary multi-objective optimization C Qian, K Tang, ZH Zhou
International Conference on Parallel Problem Solving from Nature, 835-846, 2016
46 2016 Maximizing submodular or monotone approximately submodular functions by multi-objective evolutionary algorithms C Qian, Y Yu, K Tang, X Yao, ZH Zhou
Artificial Intelligence 275, 279-294, 2019
44 2019 Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error. C Jiang, G Li, C Qian, K Tang
IJCAI 2018, 2-2, 2018
43 2018 On constrained boolean pareto optimization C Qian, Y Yu, ZH Zhou
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
42 2015 Switch analysis for running time analysis of evolutionary algorithms Y Yu, C Qian, ZH Zhou
IEEE Transactions on Evolutionary Computation 19 (6), 777-792, 2014
40 2014 Distributed Pareto optimization for large-scale noisy subset selection C Qian
IEEE Transactions on Evolutionary Computation 24 (4), 694-707, 2019
33 2019 Running time analysis of the (1+ 1)-EA for OneMax and LeadingOnes under bit-wise noise C Qian, C Bian, W Jiang, K Tang
Proceedings of the Genetic and Evolutionary Computation Conference, 1399-1406, 2017
30 2017 Better running time of the non-dominated sorting genetic algorithm II (NSGA-II) by using stochastic tournament selection C Bian, C Qian
International Conference on Parallel Problem Solving from Nature, 428-441, 2022
29 * 2022 An efficient evolutionary algorithm for subset selection with general cost constraints C Bian, C Feng, C Qian, Y Yu
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3267-3274, 2020
27 2020 