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Pengwei Hu
Pengwei Hu
Lead Scientist, Merck
Verified email at merckgroup.com
Title
Cited by
Cited by
Year
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
1782015
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
1392020
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
1222021
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
1122019
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
1012016
Graph convolution for predicting associations between miRNA and drug resistance
Y Huang, P Hu, KCC Chan, ZH You
Bioinformatics 36 (3), 851-858, 2020
942020
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
642022
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
632022
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
572020
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
522022
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
492023
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
492020
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
472016
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
412019
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
372019
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
352023
Predicting microRNA–disease associations from lncRNA–microRNA interactions via multiview multitask learning
YA Huang, KCC Chan, ZH You, P Hu, L Wang, ZA Huang
Briefings in Bioinformatics 22 (3), bbaa133, 2021
312021
Exploiting higher-order patterns for community detection in attributed graphs
L Hu, X Pan, H Yan, P Hu, T He
Integrated Computer-Aided Engineering 28 (2), 207-218, 2021
312021
Automatic depression detection via facial expressions using multiple instance learning
Y Wang, J Ma, B Hao, P Hu, X Wang, J Mei, S Li
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1933-1936, 2020
312020
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
302023
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