| XML document classification based on ELM YZ X Zhao, G Wang, X Bi, P Gong Neurocomputing 74 (16), 2444-2451, 2011 | 86* | 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 | 82 | 2020 |
| Multi-objective evolutionary clustering for large-scale dynamic community detection Y Yin, Y Zhao, H Li, X Dong Information Sciences 549, 269-287, 2021 | 64 | 2021 |
| 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 | 61 | 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 |
| 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 | 52 | 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 | 51 | 2021 |
| 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 | 35 | 2022 |
| [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 | 35 | 2022 |
| 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 |
| 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 |
| 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 | 27 | 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 | 26 | 2020 |
| 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 | 26 | 2016 |
| 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 | 23 | 2021 |
| Self-adjusting ant colony optimization based on information entropy for detecting epistatic interactions B Guan, Y Zhao Genes 10 (2), 114, 2019 | 21 | 2019 |
| How to better utilize code graphs in semantic code search? Y Shi, Y Yin, Z Wang, D Lo, T Zhang, X Xia, Y Zhao, B Xu Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 20 | 2022 |
| Efficient continual cohesive subgraph search in large temporal graphs Y Li, J Liu, H Zhao, J Sun, Y Zhao, G Wang World Wide Web 24, 1483-1509, 2021 | 20 | 2021 |
| COCLEP: Contrastive Learning-based Semi-Supervised Community Search L Li, S Luo, Y Zhao, C Shan, Z Wang, L Qin 2023 IEEE 39th International Conference on Data Engineering (ICDE), 2483-2495, 2023 | 19 | 2023 |
