(1) Tiantian He, Yew-Soon Ong, Pengwei Hu “Multi-source propagation aware network clustering” Neurocomputing 453: 119-130 (2021)
(2) Lun Hu, Yu-An Huang, Peng-Wei Hu, Zhu-Hong You “Identifying Protein Complexes from Protein-protein Interaction Networks Based on Fuzzy Clustering and GO Semantic Information” IEEE Transactions on Computational Biology and Bioinformatics 2021
(3) Zhaomeng Niu, Zhou Qin, Peng-Wei Hu, Tingting Wang “Health Beliefs, Trust in Media Sources, Health Literacy, and Preventive Behaviors among High-Risk Chinese for COVID-19” Health Communication 2021
(4) Lun Hu, Yu-An Huang, Peng-Wei Hu, Zhu-Hong You, “A Survey on Computational Models for Predicting Protein-protein Interactions", Briefings in Bioinformatics. Briefings in Bioinformatics 2021
(5) Zhaomeng Niu, Jessica Fitts Willoughby, Jing Mei, Shaochun Li, Peng-Wei Hu* "A Cross-cultural Comparison of an Extended Planned Risk Information Seeking Model on Mental Health among College Students” Journal of Medical Internet Research (JMIR) (2020)
(6) Zhaomeng Niu, Tingting Wang, Peng-Wei Hu#, Jing Mei, Zhihan Tang, “Chinese Public’s Engagement in Preventive and Intervening Health Behaviors During the Early Breakout of COVID- 19: Cross-Sectional Study” J Med Internet Res (2020):e19995
(7) Lun Hu, Hong Yan, Pengwei Hu, and Tiantian He, “Exploiting Higher-order Patterns for Community Detection in Attributed Graphs”, Integrated Computer-Aided Engineering
(8) Zhaomeng Niu, Tingting Wang, Pengwei Hu (Co-first author), Jing Mei, Zhihan Tang “Chinese public’s engagement in preventive and intervening health behaviors during early breakout of COVID-19: a cross-sectional study” Journal of Medical Internet Research (JMIR)
(9) Yu-An Huang, Keith C C Chan, Zhu-Hong You, Pengwei Hu, Lei Wang, Zhi-An Huang “Predicting microRNA-disease associations from lncRNA-microRNA interactions via Multiview Multitask Learning” Briefings in Bioinformatics, bbaa133
(10) Xue Han, Lianxue Hu, Lijun Mei, Yabin Dang, Shivali Agarwal, Xin Zhou and Pengwei Hu “A-BPS: Automatic Business Process Discovery Service using Ordered Neurons LSTM” IEEE International Conference on Web Services (IEEE ICWS) 2020
(11) Peng-Wei Hu, Chenhao Lin, Shaochun Li, Xue Han, Yuan Zhang, Jing Mei “BlueMemo: Depression Detection in Twitter across Posted Texts and Images” 29th International Joint Conference on Artificial Intelligence IJCAI-PRICAI 2020
(12) Hui Su, Xiaoyu Shen, Sanqiang Zhao, Zhou Xiao, Pengwei Hu, Randy Zhong, Cheng Niu and Jie Zhou, “Diversifying Dialogue Generation with Non-Conversational Text” The 58th Annual Meeting of the Association for Computational Linguistics ACL 2020
(13) Chenhao Lin, Peng-Wei Hu, Hui Su, Jing Mei, Henry Leung, “SenseMood: Depression Detection on Social Media” ACM International Conference on Multimedia Retrieval ICMR 2020
(14) Peng-Wei Hu, Xin Du, Yuan Zhang, Zefang Tang, Shaochun LI, Jing Mei, Changsheng MA, “Development and Validation of a Predictive Major Adverse Cardiac Events (MACE) Risk Model for Diabetes Patients with Acute Coronary Syndrome (ACS)“ Journal Diabetes (Abstract)
(15) Peng-Wei Hu, Zemin Kuang, Tiantian He, Yuan Huang, Yuan Zhang, Zefang Tang, Shaochun LI, Jing Mei, “Profiling MicroRNA (miRNA) and Metabolic Disease Association by Using Diffusion Model“ Journal Diabetes (Abstract)
(16) Zefang Tang, Jingjing Wang, Yuan Zhang, Peng-Wei Hu, Shaochun LI, Jing Mei, “Uncovering the Disease Progression Profile of Patients with Type2 Diabetes Mellitus and Atrial Fibrillation“ Journal Diabetes (Abstract)
(17) Yuan Zhang, Zefang Tang, Peng-Wei Hu, Shaochun LI, Jing Mei, “Effectof SGLT2 on Cardiovascular Eventsin type 2 diabetic patients with Atrial Fibrillation“ Journal Diabetes (Abstract)
(18) Zhaomeng Niu, Jessica Fitts Willoughby, Jing Mei, Shaochun Li, Pengwei Hu *, "A Cross-cultural Comparison of an Extended Planned Risk Information Seeking Model on Mental Health among College Students Journal of Medical Internet Research (JMIR) (Accepted)
(19) Pengwei Hu, Tiantian He, Zhaomeng Niu, Shaochun Li, Bibo Hao and Jing Mei, "Towards Interpretable Adverse Drug Reaction Prediction Using Deep Graph Fusion" AAAI 2020 Workshop(Accepted)
(20) Yanfei Wang, Jie Ma, BIbo Hao, Pengwei Hu, Xiaoqian Wang, Jing Mei, Shaochun Li, "Automatic Depression Detection Via Facial Expressions using Multiple Instance Learning" IEEE International Symposium on Biomedical Imaging ISBI 2020
(21) Chen, Zhan-Heng, Zhu-Hong You, Li-Ping Li, Yan-Bin Wang, Yu Qiu, and Peng-Wei Hu, "Identification of self-interacting proteins by integrating random projection classifier and finite impulse response filter" BMC Genomics 20, no. 13 (2019): 1-10.
(22) Yu-An Huang, Peng-Wei Hu, Keith C.C. Chan, Zhu-Hong You, "Graph Convolution for Predicting Associations between miRNA and Drug Resistance from Raw Data" Bioinformatics 2019 Aug 9
(23) Peng-Wei Hu, Yu-An Huang, Keith C.C. Chan, Zhu-Hong You, "Learning Multimodal Networks from Heterogeneous Data for Prediction of lncRNA-miRNA Interactions" IEEE Transactions on Computational Biology and Bioinformatics DOI 10.1109/TCBB.2019.2957094
(24) Pengwei Hu, Zhaomeng Niu, Shaochun Li, "Cancer Patients’ Emotional Health Discovering: Influences of Health Literacy, Fatalism and Social Support" American Medical Informatics Association Annual Symposium AMIA 2019
(25) Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu and Jie Zhou, “Improving Multi-turn Dialogue Modelling with Utterance ReWriter” The 57th Annual Meeting of the Association for Computational Linguistics ACL 2019
(26) Pengwei Hu, Yu-an Huang, Shaochun Li, Keith C.C. Chan, Henry Leung, Zhuhong You, Lun Hu, “Learning from Deep Representations of Multiple Networks for Predicting Drug–Target Interactions” International Conference on Intelligent Computing ICIC 2019
(27) Yu-An Huang, Peng-Wei Hu, Keith C.C. Chan, Zhu-Hong You, Zhi-an Huang, “Precise Prediction of Pathogenic Microorganisms using 16S rRNA Gene Sequences” International Conference on Intelligent Computing ICIC 2019
(28) Zhan-Heng Chen, Zhu-Hong You, Li-Ping Li, Zhen-Hao Guo, Pengwei Hu, Han-Jing Jiang, "Combining LSTM Network Model and Wavelet Transform for Predicting Self-interacting Proteins" ICIC 2019
(29) Hu, Lun, Pengwei Hu (Co-first Author), Xiaohui Yuan, Xin Luo, and Zhu-Hong You, "Incorporating the Coevolving Information of Substrates in Predicting HIV-1 Protease Cleavage Sites." IEEE/ACM transactions on computational biology and bioinformatics TCBB (2019)
(30) Pengwei Hu, Shaochun Li, Yu-an Huang, Lun Hu, “Predicting Hospital Readmission of Diabetics using Deep Forest” AI4CDM Workshop of IEEE International Conference on Healthcare Informatics ICHI 2019
(31) Peng-wei Hu, Shochun Li, Zhaomeng Niu, “Prediction of Synergistic Drug Combinations by Learning from Deep Representations of Multiple Network” MEDINFO 2019 Studies in health technology and informatics 264 (2019): 1482-1483.
(32) Peng-wei Hu, Eryu Xia, Shochun Li, Xin Du, Changsheng Ma, Jianzeng Dong, Keith C.C Chan, “Network-based Prediction of Major Adverse Cardiac Events in Acute Coronary Syndromes from Imbalanced EMR Data” MEDINFO 2019 Studies in health technology and informatics, 264, pp.1480-1481.
(33) Peng-Wei Hu, Shaochun Li, Shuhang Gu, Lun Hu and Keith C.C. Chan, “Inductive Matrix Completion for Network Fusion” International Conference on Advances in Signal Processing and Artificial Intelligence ASPAI 2019
(34) Lun Hu, Peng-Wei Hu and Tiantian He, “Exploiting Higher-order Patterns for Community Detection in Attributed Graphs” International Conference on Advances in Signal Processing and Artificial Intelligence ASPAI 2019.
(35) Peng-Wei Hu, Zhu-Hong You, Tiantian He, Shaochun Li, Shuhang Gu, and Keith C.C. Chan, “Learning Latent Patterns in Molecular Data for Explainable Drug Side Effects Prediction” IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
(36) Peng-Wei Hu, Tiantian He, Keith CC Chan and Zhaomeng Niu, “Learning Deep Representations in Integrated Large Network for Social Community Identification.” IEEE International Conference on AIKE 2018
(37) Tiantian He, Keith CC Chan and Peng-Wei Hu * , “Learning Latent Factors for Community Identification and Summarization” IEEE Access Journal, June 2018. Volume Issue 99
(38) Peng-Wei Hu, Yu-An Huang, Keith C.C. Chan, Zhu-Hong You, “Learning Integrated Network in Heterogeneous Information for LncRNA–MiRNA Interaction Prediction” International Conference on Intelligent Computing ICIC 2018
(39) Hui Su, Xiaoyu Shen, PengWei Hu, Wenjie Li and Yun Chen, “Dialogue Generation with GAN” In Thirty-Second AAAI Conference on Artificial Intelligence. AAAI 2018
(40) Peng-Wei Hu, Keith C.C. Chan, Yanxing Hu, "Predicting drug-target interactions based on small positive samples." Current Protein and Peptide Science 19, no. 5: 479-487 (2018).CPPS
(41) Peng-Wei Hu, Keith CC Chan, Lun Hu and Henry Leung, “Discovering Second-Order Sub-Structure Associations in Drug Molecules for Side-Effect Prediction” IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
(42) Peng-Wei Hu, Keith CC Chan, Tiantian He and Henry Leung, “Deep Fusion of Multiple Networks for Learning Latent Social Communities” 29th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2017
(43) Peng-Wei Hu, Keith CC Chan, and Tiantian He, "Deep Graph Clustering in Social Network." In Proceedings of the 26th International Conference on World Wide Web Companion, pp. 1425-1426. International World Wide Web Conferences, WWW 2017
(44) Hu, Lun, Xiaohui Yuan, Peng-Wei Hu, and Keith CC Chan, "Efficiently predicting large-scale protein-protein interactions using MapReduce." Computational Biology and Chemistry CBC 69: 202-206 2017
(45) Peng-Wei Hu, Keith C.C. Chan and Zhu-Hong You, "Large-Scale Prediction of Drug-Target Interactions from Deep Representations" International Joint Conference on Neural Networks IJCNN 2016
(46) Lun Hu, Xiaohui Yuan, Peng-Wei Hu, Keith C. C. Chan, “Parallel Identification of Variable-length Patterns for Large-scale Prediction of Protein-protein InteractionsUsing MapReduce Using MapReduce” Asia Pacific Bioinformatics Conference APBC 2017
(47) Huang YA, You ZH, Li X, Chen X, Hu P, Li S, Luo X, “Construction of reliable protein–protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features” Neurocomputing. 2016 Aug 27
(48) You, Zhu-Hong, Keith CC Chan, and Peng-Wei Hu, "Predicting Protein-Protein Interactions from Primary Protein Sequences Using a Novel Multi-Scale Local Feature Representation Scheme and the Random Forest" PloS One 10.5 (2015): e0125811.
(49) Peng-Wei Hu, and Fangxia Hu, "An optimized strategy for cloud computing architecture" Computer Science and Information Technology ICCSIT, IEEE International Conference on, vol. 9, pp. 374-378. IEEE, 2010