| XML document classification based on ELM YZ X Zhao, G Wang, X Bi, P Gong Neurocomputing 74 (16), 2444-2451, 2011 | 85* | 2011 |
| LLR: Learning learning rates by LSTM for training neural networks C Yu, X Qi, H Ma, X He, C Wang, Y Zhao Neurocomputing 394, 41-50, 2020 | 71 | 2020 |
| ELM ∗ : distributed extreme learning machine with MapReduce J Xin, Z Wang, C Chen, L Ding, G Wang, Y Zhao World Wide Web 17, 1189-1204, 2014 | 58 | 2014 |
| Maximal subspace coregulated gene clustering Y Zhao, JX Yu, G Wang, L Chen, B Wang, G Yu IEEE Transactions on Knowledge and Data Engineering 20 (1), 83-98, 2007 | 58 | 2007 |
| Multi-objective evolutionary clustering for large-scale dynamic community detection Y Yin, Y Zhao, H Li, X Dong Information Sciences 549, 269-287, 2021 | 53 | 2021 |
| An improved ant colony optimization with an automatic updating mechanism for constraint satisfaction problems B Guan, Y Zhao, Y Li Expert Systems with Applications 164, 114021, 2021 | 48 | 2021 |
| A differential evolution based feature combination selection algorithm for high-dimensional data B Guan, Y Zhao, Y Yin, Y Li Information Sciences 547, 870-886, 2021 | 39 | 2021 |
| Learning phenotype structure using sequence model Y Zhao, G Wang, X Zhang, JX Yu, Z Wang IEEE Transactions on Knowledge and Data Engineering 26 (3), 667-681, 2013 | 31 | 2013 |
| Classifying the multi-omics data of gastric cancer using a deep feature selection method Y Hu, L Zhao, Z Li, X Dong, T Xu, Y Zhao Expert Systems with Applications 200, 116813, 2022 | 30 | 2022 |
| Efficiently mining time-delayed gene expression patterns G Wang, L Yin, Y Zhao, K Mao IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 40 …, 2009 | 30 | 2009 |
| Study on the classification of data streams with concept drift Z Ouyang, Y Gao, Z Zhao, T Wang 2011 Eighth International Conference on Fuzzy Systems and Knowledge …, 2011 | 29 | 2011 |
| [Retracted] An AI‐Driven Hybrid Framework for Intrusion Detection in IoT‐Enabled E‐Health F Wahab, Y Zhao, D Javeed, MH Al-Adhaileh, SA Almaaytah, W Khan, ... Computational Intelligence and Neuroscience 2022 (1), 6096289, 2022 | 25 | 2022 |
| Improving ELM-based microarray data classification by diversified sequence features selection Y Zhao, G Wang, Y Yin, Y Li, Z Wang Neural Computing and Applications 27 (1), 155-166, 2016 | 24 | 2016 |
| Self-adjusting ant colony optimization based on information entropy for detecting epistatic interactions B Guan, Y Zhao Genes 10 (2), 114, 2019 | 19 | 2019 |
| On extending extreme learning machine to non-redundant synergy pattern based graph classification Z Wang, Y Zhao, G Wang, Y Li, X Wang Neurocomputing 149, 330-339, 2015 | 19 | 2015 |
| Finding novel diagnostic gene patterns based on interesting non-redundant contrast sequence rules Y Zhao, G Wang, Y Li, Z Wang 2011 IEEE 11th International Conference on Data Mining, 972-981, 2011 | 19 | 2011 |
| A self-healing composite web service model Y Yin, B Zhang, X Zhang, Y Zhao 2009 IEEE Asia-Pacific Services Computing Conference (APSCC), 307-312, 2009 | 19 | 2009 |
| Toward better structure and constraint to mine negative sequential patterns X Gao, Y Gong, T Xu, J Lü, Y Zhao, X Dong IEEE Transactions on Neural Networks and Learning Systems 34 (2), 571-585, 2020 | 18 | 2020 |
| Distributed density peaks clustering revisited J Lu, Y Zhao, KL Tan, Z Wang IEEE Transactions on Knowledge and Data Engineering 34 (8), 3714-3726, 2020 | 17 | 2020 |
| An efficient method for modeling nonoccurring behaviors by negative sequential patterns with loose constraints P Qiu, Y Gong, Y Zhao, L Cao, C Zhang, X Dong IEEE Transactions on Neural Networks and Learning Systems 34 (4), 1864-1878, 2021 | 15 | 2021 |
