ACP-DL: a deep learning long short-term memory model to predict anticancer peptides using high-efficiency feature representation HC Yi, ZH You, X Zhou, L Cheng, X Li, TH Jiang, ZH Chen Molecular Therapy-Nucleic Acids 17, 1-9, 2019 | 144 | 2019 |
Predicting protein–protein interactions from protein sequences by a stacked sparse autoencoder deep neural network YB Wang, ZH You, X Li, TH Jiang, X Chen, X Zhou, L Wang Molecular BioSystems 13 (7), 1336-1344, 2017 | 138 | 2017 |
A high efficient biological language model for predicting protein–protein interactions Y Wang, ZH You, S Yang, X Li, TH Jiang, X Zhou Cells 8 (2), 122, 2019 | 83 | 2019 |
SGANRDA: semi-supervised generative adversarial networks for predicting circRNA–disease associations L Wang, X Yan, ZH You, X Zhou, HY Li, YA Huang Briefings in Bioinformatics 22 (5), bbab028, 2021 | 38 | 2021 |
Learning distributed representations of RNA and protein sequences and its application for predicting lncRNA-protein interactions HC Yi, ZH You, L Cheng, X Zhou, TH Jiang, X Li, YB Wang Computational and structural biotechnology journal 18, 20-26, 2020 | 34 | 2020 |
A geometric deep learning framework for drug repositioning over heterogeneous information networks BW Zhao, XR Su, PW Hu, YP Ma, X Zhou, L Hu Briefings in Bioinformatics 23 (6), bbac384, 2022 | 24 | 2022 |
Predicting protein interactions using a deep learning method-stacked sparse autoencoder combined with a probabilistic classification vector machine Y Wang, Z You, L Li, L Cheng, X Zhou, L Zhang, X Li, T Jiang Complexity 2018, 1-12, 2018 | 22 | 2018 |
NMFCDA: Combining randomization-based neural network with non-negative matrix factorization for predicting CircRNA-disease association L Wang, ZH You, X Zhou, X Yan, HY Li, YA Huang Applied Soft Computing 110, 107629, 2021 | 15 | 2021 |
A novel data integration framework based on unified concept model B Ma, T Jiang, X Zhou, F Zhao, Y Yang IEEE Access 5, 5713-5722, 2017 | 15 | 2017 |
Time-series classification based on fusion features of sequence and visualization B Wang, T Jiang, X Zhou, B Ma, F Zhao, Y Wang Applied Sciences 10 (12), 4124, 2020 | 14 | 2020 |
In silico drug repositioning using deep learning and comprehensive similarity measures HC Yi, ZH You, L Wang, XR Su, X Zhou, TH Jiang BMC bioinformatics 22, 1-15, 2021 | 11 | 2021 |
Toward better loanword identification in Uyghur using cross-lingual word embeddings C Mi, Y Yang, L Wang, X Zhou, T Jiang Proceedings of the 27th International Conference on Computational …, 2018 | 9 | 2018 |
A neural network based model for loanword identification in Uyghur C Mi, Y Yang, L Wang, X Zhou, T Jiang Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 8 | 2018 |
Recurrent neural network based loanwords identification in Uyghur C Mi, Y Yang, X Zhou, L Wang, X Li, T Jiang Proceedings of the 30th Pacific Asia Conference on Language, Information and …, 2016 | 8 | 2016 |
Diversity Features Enhanced Prototypical Network for Few-shot Intent Detection. F Yang, X Zhou, Y Wang, A Atawulla, R Bi IJCAI, 4447-4453, 2022 | 7 | 2022 |
Artificial intelligence accelerates multi-modal biomedical process: A survey J Li, X Han, Y Qin, F Tan, Y Chen, Z Wang, H Song, X Zhou, Y Zhang, ... Neurocomputing 558, 126720, 2023 | 6 | 2023 |
Discovering consensus regions for interpretable identification of rna n6-methyladenosine modification sites via graph contrastive clustering G Li, B Zhao, X Su, Y Yang, P Hu, X Zhou, L Hu IEEE Journal of Biomedical and Health Informatics, 2024 | 5 | 2024 |
A Phrase Table Filtering Model Based on Binary Classification for Uyghur-Chinese Machine Translation. C Mi, Y Yang, X Zhou, L Wang, X Li, E Tursun J. Comput. 9 (12), 2780-2786, 2014 | 5 | 2014 |
Effectively predicting HIV-1 protease cleavage sites by using an ensemble learning approach L Hu, Z Li, Z Tang, C Zhao, X Zhou, P Hu BMC bioinformatics 23 (1), 447, 2022 | 4 | 2022 |
Optimized uyghur segmentation for statistical machine translation C Mi, Y Yang, R Dong, X Zhou, L Wang, X Li, T Jiang, T Osman Natural Language Processing and Information Systems: 20th International …, 2015 | 4 | 2015 |