
| 姓 名: | 胡鹏伟 |
|---|---|
| 性 别: | 男 |
| 职 务: | |
| 职 称: | 研究员 |
| 通讯地址: | 乌鲁木齐市北京南路40号附1号 |
| 邮政编码: | 830011 |
| 电子邮件: |
简历:
银发体育官网入口app ?研究员 ????????????????2023.11-至今
银发体育官网入口app ?副研究员 ??????????????2022.12-2023.11
德国默克集团 ????????????????人工智能首席科学家 ?????2020.10-2022.11
IBM研究院 ???????????????????研究科学家 ?????????????2018.11-2020.10
教育背景: ????
计算机科学 ??????香港理工大学 ????????博士 ??????????2012.11-2018.11??
主要研究领域及成就:
主要研究方向为人工智能表示学习,复杂网络分析,生物医学分子网络分析、智能类器官等。入选国家海外高层次人才引进项目,天池计划领军人才项目,主持及参与新疆杰出青年科学基金,国家自然科学基金面上项目、青年项目等。曾担任德国默克集团人工智能首席科学家,负责人工智能与生物医疗交叉领域的全球创新研发工作。目前担任BMC Bioinformatics等多家SCI期刊副编辑。担任AAAI、ACL、EMNLP、BIBM、AMIA等国际顶级会议程序委员会委员、领域主席,CCF生信专委会执行委员,中国生物工程学会生物医药大数据专委会委员。曾获 IJCAI DCM Best Paper、ICIC Best Paper、中华医学会智能辅助诊疗大赛一等奖。
主要荣誉:
国家海外高层次人才
新疆“天池计划”领军人才
新疆自然科学基金杰出青年项目
ICIC?2023, Best?Paper
IJCAI DCM 2020,Best Paper
中华医学会智能辅助诊疗创新大赛,一等奖
中国中文信息学会智能医疗对话诊疗大赛,三等奖
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.
研究领域:
?人工智能,生物医疗信息,智能类器官
研究领域:


