DeepACLSTM: deep asymmetric convolutional long short-term memory neural models for protein secondary structure prediction Y Guo, W Li, B Wang, H Liu, D Zhou BMC bioinformatics 20, 1-12, 2019 | 90 | 2019 |
Protein secondary structure prediction improved by recurrent neural networks integrated with two-dimensional convolutional neural networks Y Guo, B Wang, W Li, B Yang Journal of bioinformatics and computational biology 16 (05), 1850021, 2018 | 58 | 2018 |
Learning spatiotemporal embedding with gated convolutional recurrent networks for translation initiation site prediction W Li, Y Guo, B Wang, B Yang Pattern Recognition 136, 109234, 2023 | 50 | 2023 |
Bi-directional long short-term memory neural networks for Chinese word segmentation C Jin, WH Li, C Ji, XZ Jin, YB Guo Journal of Chinese Information Processing 32 (2), 29-37, 2018 | 25 | 2018 |
DeepANF: A deep attentive neural framework with distributed representation for chromatin accessibility prediction Y Guo, D Zhou, R Nie, X Ruan, W Li Neurocomputing 379, 305-318, 2020 | 20 | 2020 |
An integrated neural model for sentence classification Y Guo, W Li, C Jin, Y Duan, S Wu 2018 Chinese control and decision conference (CCDC), 6268-6273, 2018 | 16 | 2018 |
A deep learning approach for predicting antigenic variation of influenza A H3N2 YL Xia, W Li, Y Li, XL Ji, YX Fu, SQ Liu Computational and mathematical methods in medicine 2021 (1), 9997669, 2021 | 12 | 2021 |
Constructing the Bayesian network structure from dependencies implied in multiple relational schemas WY Liu, K Yue, WH Li Expert Systems with Applications 38 (6), 7123-7134, 2011 | 12 | 2011 |
Recovering the global structure from multiple local Bayesian networks W Li, W Liu, K Yue International Journal on Artificial Intelligence Tools 17 (06), 1067-1088, 2008 | 12 | 2008 |
Bidirectional lstm-crf attention-based model for chinese word segmentation C Jin, Z Shi, W Li, Y Guo arXiv preprint arXiv:2105.09681, 2021 | 11 | 2021 |
Identifying polyadenylation signals with biological embedding via self-attentive gated convolutional highway networks Y Guo, D Zhou, W Li, J Cao, R Nie, L Xiong, X Ruan Applied Soft Computing 103, 107133, 2021 | 11 | 2021 |
Chinese word segmentation based on bidirectional LSTM neural network model C Jin, W Li, C Ji, Z Jin, Y Guo Journal of Chinese Information Processing 32 (2), 29-37, 2018 | 10 | 2018 |
Deep multi-scale Gaussian residual networks for contextual-aware translation initiation site recognition Y Guo, D Zhou, W Li, J Cao Expert Systems with Applications 207, 118004, 2022 | 9 | 2022 |
Attentive gated neural networks for identifying chromatin accessibility Y Guo, D Zhou, W Li, R Nie, R Hou, C Zhou Neural Computing and Applications 32, 15557-15571, 2020 | 7 | 2020 |
Deep contextual representation learning for identifying essential proteins via integrating multisource protein features W LI, W LIU, Y GUO, B WANG, H QING Chinese Journal of Electronics 32 (4), 1-15, 2023 | 3 | 2023 |
A novel method of text representation on hybrid neural networks Y Guo, C Jin, W Li, C Ji, Y Fang, Y Duan 2017 10th International Congress on Image and Signal Processing, BioMedical …, 2017 | 3 | 2017 |
Prediction of Antigenic Distance in Influenza A Using Attribute Network Embedding F Peng, Y Xia, W Li Viruses 15 (7), 1478, 2023 | 2 | 2023 |
Knowledge‐aware representation learning for diagnosis prediction W Li, H Li, B Yang, L Zhou, X Yang, M Zhang, B Wang Expert Systems 40 (3), e13175, 2023 | 2 | 2023 |
FluPMT: Prediction of predominant strains of influenza a viruses via multi-task learning C Cai, J Li, Y Xia, W Li IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2024 | 1 | 2024 |
RT-Transformer: retention time prediction for metabolite annotation to assist in metabolite identification J Xue, B Wang, H Ji, WH Li Bioinformatics 40 (3), btae084, 2024 | 1 | 2024 |