Pengwei Hu
Pengwei Hu
Lead Scientist, Merck
Verified email at
Cited by
Cited by
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
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
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
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
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
Graph convolution for predicting associations between miRNA and drug resistance
Y Huang, P Hu, KCC Chan, ZH You
Bioinformatics 36 (3), 851-858, 2020
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
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
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
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
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
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
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, 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
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
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
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
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
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
Dialogue generation with gan
H Su, X Shen, P Hu, W Li, Y Chen
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
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