| TCMKG: A deep learning based traditional Chinese medicine knowledge graph platform Z Zheng, Y Liu, Y Zhang, C Wen 2020 IEEE international conference on knowledge graph (ICKG), 560-564, 2020 | 42 | 2020 |
| Learning Chinese word embeddings from stroke, structure and pinyin of characters Y Zhang, Y Liu, J Zhu, Z Zheng, X Liu, W Wang, Z Chen, S Zhai Proceedings of the 28th ACM International Conference on Information and …, 2019 | 41 | 2019 |
| WOCDA: A whale optimization based community detection algorithm Y Zhang, Y Liu, J Li, J Zhu, C Yang, W Yang, C Wen Physica A: Statistical Mechanics and its Applications 539, 122937, 2020 | 39 | 2020 |
| Attribute supervised probabilistic dependent matrix tri-factorization model for the prediction of adverse drug-drug interaction J Zhu, Y Liu, Y Zhang, D Li IEEE Journal of Biomedical and Health Informatics 25 (7), 2820-2832, 2020 | 29 | 2020 |
| LILPA: A label importance based label propagation algorithm for community detection with application to core drug discovery Y Zhang, Y Liu, Q Li, R Jin, C Wen Neurocomputing 413, 107-133, 2020 | 27 | 2020 |
| Predicting in-hospital outcomes of patients with acute kidney injury C Wu, Y Zhang, S Nie, D Hong, J Zhu, Z Chen, B Liu, H Liu, Q Yang, H Li, ... Nature Communications 14 (1), 3739, 2023 | 24 | 2023 |
| Orthogonal latent space learning with feature weighting and graph learning for multimodal Alzheimer’s disease diagnosis Z Chen, Y Liu, Y Zhang, Q Li, ... Medical Image Analysis 84, 102698, 2023 | 24 | 2023 |
| Multi-attribute discriminative representation learning for prediction of adverse drug-drug interaction J Zhu, Y Liu, Y Zhang, Z Chen, X Wu IEEE transactions on pattern analysis and machine intelligence 44 (12 …, 2021 | 23 | 2021 |
| Gllpa: A graph layout based label propagation algorithm for community detection Y Zhang, Y Liu, R Jin, J Tao, L Chen, X Wu Knowledge-Based Systems 206, 106363, 2020 | 21 | 2020 |
| DGDFS: Dependence guided discriminative feature selection for predicting adverse drug-drug interaction J Zhu, Y Liu, C Wen, X Wu IEEE Transactions on Knowledge and Data Engineering 34 (1), 271-285, 2020 | 20 | 2020 |
| NALPA: A node ability based label propagation algorithm for community detection Y Zhang, Y Liu, J Zhu, C Yang, W Yang, S Zhai IEEE Access 8, 46642-46664, 2020 | 15 | 2020 |
| Time-frequency deep metric learning for multivariate time series classification Z Chen, Y Liu, J Zhu, Y Zhang, R Jin, X He, J Tao, L Chen Neurocomputing 462, 221-237, 2021 | 14 | 2021 |
| FSPRM: a feature subsequence based probability representation model for Chinese word embedding Y Zhang, Y Liu, J Zhu, X Wu IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 1702-1716, 2021 | 11 | 2021 |
| DAEM: Deep attributed embedding based multi-task learning for predicting adverse drug–drug interaction J Zhu, Y Liu, Y Zhang, Z Chen, K She, R Tong Expert Systems with Applications 215, 119312, 2023 | 10 | 2023 |
| Low-rank sparse feature selection with incomplete labels for Alzheimer's disease progression prediction Z Chen, Y Liu, Y Zhang, R Jin, J Tao, L Chen Computers in Biology and Medicine 147, 105705, 2022 | 9 | 2022 |
| IHPreten: a novel supervised learning framework with attribute regularization for prediction of incompatible herb pair in traditional Chinese medicine J Zhu, Y Liu, Y Zhang, Z Chen, Q Li, S Yang, X Liu, S Zhai, Y Zhang, ... Neurocomputing 338, 207-221, 2019 | 9 | 2019 |
| Upper-limb motion recognition based on hybrid feature selection: Algorithm development and validation Q Li, Y Liu, J Zhu, Z Chen, L Liu, S Yang, G Zhu, B Zhu, J Li, R Jin, J Tao, ... JMIR mHealth and uHealth 9 (9), e24402, 2021 | 8 | 2021 |
| A word-concept heterogeneous graph convolutional network for short text classification S Yang, Y Liu, Y Zhang, J Zhu Neural Processing Letters 55 (1), 735-750, 2023 | 7 | 2023 |
| A no self-edge stochastic block model and a heuristic algorithm for balanced anti-community detection in networks J Zhu, Y Liu, H Wu, Z Chen, Y Zhang, S Yang, C Yang, W Yang, X Wu Information Sciences 518, 95-112, 2020 | 6 | 2020 |
| Deep multiple metric learning for time series classification Z Chen, Y Liu, J Zhu, Y Zhang, Q Li, R Jin, X He IEEE Access 9, 17829-17842, 2021 | 5 | 2021 |
