教育背景

2012/11–2018/11，香港理工大学，计算机科学， 博士

工作简历

2022.11－至今，中国科东京热av 新疆理化技术研究所，研究员、博士生导师  

2020.10－2022.11，德国默克集团，人工智能首席科学家

2018.11－2020.10，IBM研究院，研究科学家                

社会工作

担任BMC Bioinformatics, BMC Medical Informatics and Decision Making 等多家期刊编委。

担任Fundamental Research、Briefings in Bioinformatics、IEEE Transactions on Big Data、IEEE Transactions on Neural Networks and Learning Systems等数十家期刊审稿人。

担任AAAI、IJCAI、ACL、BIBM等十余个国际顶级会议程序委员会委员、领域主席。

中国东京热av 会生物信息专委会执行委员。

中国生物工程学会生物医药大数据专委会委员。

代表性文章

（1） Bo-Wei Zhao, Lei Wang, Peng-Wei Hu, Leon Wong, Xiao-Rui Su, Bao-Quan Wang, Zhu-Hong You, Lun Hu. “Fusing Higher and Lower-order Biological Information for Drug Repositioning via Graph Representation Learning. ” IEEE Transactions on Emerging Topics in Computing, 2023. 

（2） Yue-Chao Li, Zhu-Hong You, Chang-Qing Yu, Lei Wang, Leon Wong, Lun Hu, Peng-Wei Hu, Yu-An Huang. "PPAEDTI: Personalized Propagation Auto-Encoder Model For Predicting Drug-Target Interactions.” IEEE Journal of Biomedical and Health Informatics, 2023, 27(1): 573-582.

（3） Xin Luo, Liwei Wang, Peng-Wei Hu, Lun Hu. Predicting Protein-Protein Interactions Using Sequence and Network Information via Variational Graph Autoencoder. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023, 10.1109/TCBB.2023.3273567, 1-13 .

（4）Jiajia Li, Feng Tan, Cheng He, Zikai Wang, Haitao Song, Pengwei Hu, Xin Luo, Saliency-Aware Dual Embedded Attention Network for Multivariate Time-Series Forecasting in Information Technology Operations, IEEE Transactions on Industrial Informatics, 2023.

（5）Bo-Wei Zhao, Xiao-Rui Su, Peng-Wei Hu, Yu-Peng Ma, Xi Zhou, Lun Hu. A geometric deep learning framework for drug repositioning over heterogeneous information networks. Briefings in Bioinformatics, 2022, 23.6, bbac384.

（6）Lun Hu, Zhenfeng Li, Zehai Tang, Cheng Zhao, Xi Zhou, Peng-Wei Hu, Effectively predicting HIV-1 protease cleavage sites by using an ensemble learning approach. BMC Bioinformatics, 2022, 23.1: 447.

（7）Lun Hu, Hong Yan, Peng-Wei Hu, Tiantian He, Exploiting higher-order patterns for community detection in attributed graphs. Integrated Computer-Aided Engineering 28.2 (2021): 207-218.

（8）Peng-Wei Hu, Yu-An Huang, Keith CC Chan, and Zhu-Hong You, Learning multimodal networks from heterogeneous data for prediction of lncRNA-miRNA interactions. IEEE Transactions on Computational Biology and Bioinformatics, 2020, 17(5): 1516-1524

（9）Yu-An Huang, Peng-Wei Hu, Keith CC Chan, and Zhu-Hong You. “Graph convolution for predicting associations between miRNA and drug resistance.” Bioinformatics, 2020, 36, no. 3: 851-858.

（10）Peng-Wei Hu, Keith CC Chan, and Zhu-Hong You. Large-scale prediction of drug-target interactions from deep representations. In 2016 International Joint Conference on Neural Networks (IJCNN), pp. 1236-1243. IEEE, 2016.

研究方向

人工智能，类器官智能化，非编码RNA药物