| Progress in outlier detection techniques: A survey H Wang, MJ Bah, M Hammad Ieee Access 7, 107964-108000, 2019 | 725 | 2019 |
| Efficient subgraph matching on billion node graphs Z Sun, H Wang, H Wang, B Shao, J Li arXiv preprint arXiv:1205.6691, 2012 | 550 | 2012 |
| Graph homomorphism revisited for graph matching W Fan, J Li, S Ma, H Wang, Y Wu Proceedings of the VLDB Endowment (PVLDB) 3 (1), 1161-1172, 2010 | 172 | 2010 |
| Hierarchical spatial-aware siamese network for thermal infrared object tracking X Li, Q Liu, N Fan, Z He, H Wang Knowledge-Based Systems 166, 71-81, 2019 | 153 | 2019 |
| Efficient processing of XML path queries using the disk-based F&B index W Wang, H Wang, H Lu, H Jiang, X Lin, J Li VLDB 5, 145-156, 2005 | 121 | 2005 |
| Effective and efficient community search over large directed graphs Y Fang, Z Wang, R Cheng, H Wang, J Hu IEEE Transactions on Knowledge and Data Engineering 31 (11), 2093-2107, 2018 | 120 | 2018 |
| Todynet: temporal dynamic graph neural network for multivariate time series classification H Liu, D Yang, X Liu, X Chen, Z Liang, H Wang, Y Cui, J Gu Information Sciences 677, 120914, 2024 | 119 | 2024 |
| Brief survey of crowdsourcing for data mining G Xintong, W Hongzhi, Y Song, G Hong Expert Systems with Applications 41 (17), 7987-7994, 2014 | 110 | 2014 |
| Bidirectional LSTM-RNN-based hybrid deep learning frameworks for univariate time series classification M Khan, H Wang, A Riaz, A Elfatyany, S Karim The Journal of Supercomputing 77 (7), 7021-7045, 2021 | 108 | 2021 |
| Framework for artificial intelligence analysis in large-scale power grids based on digital simulation Y Tang, Y Huang, H Wang, C Wang, Q Guo, W Yao CSEE Journal of Power and Energy Systems 4 (4), 459-468, 2018 | 85 | 2018 |
| A survey of query result diversification K Zheng, H Wang, Z Qi, J Li, H Gao Knowledge and Information Systems 51 (1), 1-36, 2017 | 65 | 2017 |
| Mining conditional functional dependency rules on big data M Li, H Wang, J Li Big Data Mining and Analytics 3 (1), 68-84, 2019 | 63 | 2019 |
| Semi-supervised multi-label feature selection with adaptive structure learning and manifold learning S Lv, S Shi, H Wang, F Li Knowledge-based systems 214, 106757, 2021 | 61 | 2021 |
| Life-long learning based on dynamic combination model B Ren, H Wang, J Li, H Gao Applied Soft Computing 56, 398-404, 2017 | 56 | 2017 |
| Atpfl: Automatic trajectory prediction model design under federated learning framework C Wang, X Chen, J Wang, H Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 54 | 2022 |
| 基于相关性分析的工业时序数据异常检测 丁小欧， 于晟健， 王沐贤， 王宏志， 高宏， 杨东华 软件学报 31 (3), 726-747, 2020 | 51* | 2020 |
| Effective density-based clustering algorithms for incomplete data Z Xue, H Wang Big Data Mining and Analytics 4 (3), 183-194, 2021 | 50 | 2021 |
| Data source selection for information integration in big data era Y Lin, H Wang, J Li, H Gao Information Sciences 479, 197-213, 2019 | 50 | 2019 |
| Cleanits: a data cleaning system for industrial time series X Ding, H Wang, J Su, Z Li, J Li, H Gao Proceedings of the VLDB Endowment 12 (12), 1786-1789, 2019 | 46 | 2019 |
| Predicting learning status in MOOCs using LSTM F Xiong, K Zou, Z Liu, H Wang Proceedings of the ACM Turing Celebration Conference-China, 1-5, 2019 | 46* | 2019 |
Jianzhong LiHarbin Institute of Technology, ChinaVerified email at hit.edu.cn
