Difficult features of combinatorial optimization problems and the tunable w-model benchmark problem for simulating them T Weise, Z Wu Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 39 | 2018 |
Stochastic runtime analysis of the cross-entropy algorithm Z Wu, M Kolonko, RH Möhring IEEE transactions on evolutionary computation 21 (4), 616-628, 2017 | 31 | 2017 |
New benchmark for household garbage image recognition Z Wu, H Li, X Wang, Z Wu, L Zou, L Xu, M Tan Tsinghua Science and Technology 27 (5), 793-803, 2022 | 25 | 2022 |
Selfishness need not be bad Z Wu, RH Möhring, Y Chen, D Xu Operations Research 69 (2), 410-435, 2021 | 22 | 2021 |
Asymptotic properties of a generalized cross-entropy optimization algorithm Z Wu, M Kolonko IEEE Transactions on Evolutionary Computation 18 (5), 658-673, 2014 | 19 | 2014 |
An improved generic bet-and-run strategy with performance prediction for stochastic local search T Weise, Z Wu, M Wagner Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2395-2402, 2019 | 12 | 2019 |
An efficient learning method for RBF neural networks M Pazouki, Z Wu, Z Yang, DPF Möller 2015 International joint conference on neural networks (IJCNN), 1-6, 2015 | 12 | 2015 |
A convergence analysis of the price of anarchy in atomic congestion games Z Wu, RH Moehring, C Ren, D Xu Mathematical Programming 199 (1), 937-993, 2023 | 9 | 2023 |
Lightweight neural network based garbage image classification using a deep mutual learning X Liu, ZZ Wu, ZJ Wu, L Zou, LX Xu, XF Wang Parallel Architectures, Algorithms and Programming: 11th International …, 2021 | 6 | 2021 |
A Sensitivity Analysis of the Price of Anarchy in Nonatomic Congestion Games Z Wu, RH Möhring Mathematics of Operations Research 48 (3), 1364-1392, 2023 | 5 | 2023 |
Household Garbage Classification: A Transfer Learning Based Method and a Benchmark Q Cheng, ZZ Wu, ZJ Wu, L Zou, HY Li, XF Wang Parallel Architectures, Algorithms and Programming: 11th International …, 2021 | 4 | 2021 |
A game-theoretic analysis of deep neural networks C Ren, Z Wu, D Xu, W Xu Algorithmic Aspects in Information and Management: 15th International …, 2021 | 3 | 2021 |
Stochastic runtime analysis of a Cross-Entropy algorithm for traveling salesman problems Z Wu, RH Moehring, J Lai Theoretical Computer Science 724, 69-86, 2018 | 3 | 2018 |
Improving the statistical quality of random number generators by applying a simple ratio transformation M Kolonko, F Gu, Z Wu Mathematics and Computers in Simulation 157, 130-142, 2019 | 2 | 2019 |
The tunable w-model benchmark problem T Weise, Z Wu | 2 | 2018 |
Absorption in model-based search algorithms for combinatorial optimization Z Wu, M Kolonko 2014 IEEE Congress on Evolutionary Computation (CEC), 1744-1751, 2014 | 2 | 2014 |
Improving the Performance of the Single Shot Multibox Detector for Steel Surface Defects with Context Fusion and Feature Refinement Y Li, L He, M Zhang, Z Cheng, W Liu, Z Wu Electronics 12 (11), 2440, 2023 | | 2023 |
Approximation Algorithms for the Capacitated Min–Max Correlation Clustering Problem S Ji, J Li, Z Wu, Y Xu Asia-Pacific Journal of Operational Research 40 (01), 2240008, 2023 | | 2023 |
A game-theoretic perspective of deep neural networks C Ren, Z Wu, D Xu, W Xu Theoretical Computer Science 939, 48-62, 2023 | | 2023 |
Model-based heuristics for combinatorial optimization: a mathematical study of their asymptotic behavior PhD Thesis Z Wu, M Kolonko | | 2015 |