| Predicting protein-protein interactions from primary protein sequences using a novel multi-scale local feature representation scheme and the random forest ZH You, KCC Chan, P Hu PloS one 10 (5), e0125811, 2015 | 188 | 2015 |
| Sensemood: depression detection on social media C Lin, P Hu, H Su, S Li, J Mei, J Zhou, H Leung Proceedings of the 2020 international conference on multimedia retrieval …, 2020 | 175 | 2020 |
| A survey on computational models for predicting protein–protein interactions L Hu, X Wang, YA Huang, P Hu, ZH You Briefings in bioinformatics 22 (5), bbab036, 2021 | 141 | 2021 |
| Improving multi-turn dialogue modelling with utterance rewriter H Su, X Shen, R Zhang, F Sun, P Hu, C Niu, J Zhou arXiv preprint arXiv:1906.07004, 2019 | 123 | 2019 |
| Graph convolution for predicting associations between miRNA and drug resistance Y Huang, P Hu, KCC Chan, ZH You Bioinformatics 36 (3), 851-858, 2020 | 108 | 2020 |
| Large-scale prediction of drug-target interactions from deep representations PW Hu, KCC Chan, ZH You 2016 international joint conference on neural networks (IJCNN), 1236-1243, 2016 | 106 | 2016 |
| Attention-based knowledge graph representation learning for predicting drug-drug interactions X Su, L Hu, Z You, P Hu, B Zhao Briefings in bioinformatics 23 (3), bbac140, 2022 | 82 | 2022 |
| A deep learning method for repurposing antiviral drugs against new viruses via multi-view nonnegative matrix factorization and its application to SARS-CoV-2 X Su, L Hu, Z You, P Hu, L Wang, B Zhao Briefings in bioinformatics 23 (1), bbab526, 2022 | 72 | 2022 |
| Fusing higher and lower-order biological information for drug repositioning via graph representation learning BW Zhao, L Wang, PW Hu, L Wong, XR Su, BQ Wang, ZH You, L Hu IEEE Transactions on Emerging Topics in Computing 12 (1), 163-176, 2023 | 68 | 2023 |
| Diversifying dialogue generation with non-conversational text H Su, X Shen, S Zhao, X Zhou, P Hu, R Zhong, C Niu, J Zhou arXiv preprint arXiv:2005.04346, 2020 | 64 | 2020 |
| iGRLDTI: an improved graph representation learning method for predicting drug–target interactions over heterogeneous biological information network BW Zhao, XR Su, PW Hu, YA Huang, ZH You, L Hu Bioinformatics 39 (8), btad451, 2023 | 60 | 2023 |
| Health beliefs, trust in media sources, health literacy, and preventive behaviors among high-risk Chinese for COVID-19 Z Niu, Z Qin, P Hu, T Wang Health Communication 37 (8), 1004-1012, 2022 | 59 | 2022 |
| 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 | 52 | 2022 |
| Chinese public’s engagement in preventive and intervening health behaviors during the early breakout of COVID-19: cross-sectional study Z Niu, T Wang, P Hu, J Mei, Z Tang Journal of medical Internet research 22 (8), e19995, 2020 | 51 | 2020 |
| Fuzzy-based deep attributed graph clustering Y Yang, X Su, B Zhao, GD Li, P Hu, J Zhang, L Hu IEEE Transactions on Fuzzy Systems, 2023 | 50 | 2023 |
| Incorporating the coevolving information of substrates in predicting HIV-1 protease cleavage sites L Hu, P Hu, X Luo, X Yuan, ZH You IEEE/ACM transactions on computational biology and bioinformatics 17 (6 …, 2019 | 50 | 2019 |
| Construction of reliable protein–protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features YA Huang, ZH You, X Li, X Chen, P Hu, S Li, X Luo Neurocomputing 218, 131-138, 2016 | 48 | 2016 |
| Predicting protein-protein interactions using sequence and network information via variational graph autoencoder X Luo, L Wang, P Hu, L Hu IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (5 …, 2023 | 45 | 2023 |
| Learning multimodal networks from heterogeneous data for prediction of lncRNA–miRNA interactions P Hu, YA Huang, KCC Chan, ZH You IEEE/ACM Transactions on Computational Biology and Bioinformatics 17 (5 …, 2019 | 41 | 2019 |
| A survey of transformer-based multimodal pre-trained modals X Han, YT Wang, JL Feng, C Deng, ZH Chen, YA Huang, H Su, L Hu, ... Neurocomputing 515, 89-106, 2023 | 40 | 2023 |
Zhu-Hong YOU（尤著宏）Northwestern Polytechnical University (NPU)Email verificata su ms.xjb.ac.cn