尹宏鹏，博士、教授/博导，重庆大学自动化学院党委书记，国家重点研发项目首席科学家，重庆市高层次引进人才，重庆英才青年拔尖人才，重庆市课程师政教学名师，重庆市控制科学与工程学科学术带头人。
教育背景
1999/9–2003/6，重庆大学，通信工程，学士
2004/9–2009/6，重庆大学，控制理论与控制工程，博士
2008/1–2009/1，guelph大学，控制理论与控制工程，联合培养博士
专业领域
人工智能、大数据
主要研究方向
模式识别与智能系统、计算机视觉与智能视频分析、故障诊断与寿命预测
主讲课程
模式识别原理、信息安全概论(双语)、人工智能原理等。
学术兼职和荣誉
先后担任中国人工智能学会智能空天系统专业委员会副秘书长、智能服务专委会委员，中国自动化学会教育工作委员会委员、技术过程的故障诊断与安全性专委会委员，冶金智能装备重庆市重点实验室学术委员会委员等多个学术任职。
科研情况简介
长期从事人工智能基础理论及应用研究，先后主持国家重点研发项目、国自然面上项目、青年基金、中国博士后基金、重庆市基础科学与前沿研究技术专项重点项目、重庆市自然科学基金面上项目、重点项目、重庆市博士后特别资助、重庆市教改项目等20多项国家及省部级高水平的教改和科研项目，参与完成多个国家科技攻关项目、国家科技重大专项配套装备等实际工程类项目。以第一作者或通信作者身份发表60余篇SCI收录论文，其中包含多篇ESI高被引论文，单篇论文最高引用600 余次，被评为Information Fusion、IEEE Transactions on Industrial Informatics等多个期刊杰出审稿人，以第一发明人授权发明专利18项。先后获重庆市科技进步一等奖、中国仪器仪表学会科技进步一等奖、中国机械工业科学技术奖一等奖、重庆市科技进步二等奖、中国自动化学会技术发明二等奖各一项。
论文（选录）
[1]Han Zhou,Hongpeng Yin*, et al. Industrial fault diagnosis with incremental learning capability under varying sensory data,IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024, DOI: 10.1109/TSMC.2024.3500019.
[2]Li Cai,Hongpeng Yin*,et al. A multiattribute learning model for zero-sample mechanical fault diagnosis,IEEE Transactions on Industrial Informatics, 20 (7) :9633-9643, 2024.
[3]DanDan Zhao,Hongpeng Yn*, et al. A zero-sample fault diagnosis method based on transfer learning,IEEE Transactions on Industrial Informatics,20 (10):11542-11552, 2024.
[4]Li Cai,Hongpeng Yin*,et al. An update-strategy-based Gaussian process regression method for aeroengines fault prediction,IEEE Transactions on Industrial Informatics, 20(2): 1941-1951, 2023.
[5]Han Zhou,Hongpeng Yin*, et al.Incremental learning and conditional drift adaptation for nonstationary industrial process fault diagnosis,IEEE Transactions on Industrial Informatics, 19(14):5935-5944, 2023.
[6]Li Cai,Hongpeng Yin*, et al. A relevant variable selection and SVDD-based fault detection method for process monitoring,IEEE Transactions on Automation Science and Engineering, 20(4): 2855-2865, 2022.
[7]Li Cai,Hongpeng Yin*, Jingdong Lin. A unified framework with incremental learning capacity for industrial fault detection and classification, IEEE Transactions on Automation Science and Engineering, 2024.
[8]Li Cai,Hongpeng Yin*, et al. Federated generalized zero-sample industrial fault diagnosis across multisource domains,IEEE Internet of Things Journal,11(23), pp.38895-38906, 2024.
[9]Chuan Sun,Hongpeng Yin*, et al. A novel rolling bearing vibration impulsive signals detection approach based on dictionary learning,IEEE-CAA Journal of Automatica Sinica, 8(6): 1188-1198, 2021.
[10]Li Cai, XuanHong Deng,Hongpeng Yin*,et al. Generalized zero-sample industrial fault diagnosis with domain bias,Reliability Engineering & System Safety,2024. DOI: 10.1016/j.ress.2024.110571.
[11]JingdongLin, Zheng Lin,Hongpeng Yin*.A Novel Product Remaining Useful Life Prediction Approach Considering Fault Effects.IEEE-CAA Journal of Automatica Sinica,8(11): 1762-1773, 2021.
[12]Han Zhou,Hongpeng Yin*, Yi Chai.Multi-grained mode partition and robust fault diagnosis for multimode industrial processes.Reliability Engineering & System Safety, 2023.
[13]Jiajun Chen,Hongpeng Yin*, et al.Long-Tailed Defects Classification Based on Probabilistic Aggregation Network for Light-Emitting Diode Packaging Process.IEEE Transactions on Industrial Informatics,20(10):pp.12136-12146, 2024.
[14]Guobo Liao,Hongpeng Yin*, et al.Remaining useful life prediction for multi-phase deteriorating process based on Wiener process,Reliability Engineering & System Safety, 2021.
[15]Yanxia Li,Hongpeng Yin*, et al.A novel dimension reduction and dictionary learning framework for high-dimensional data classification,Pattern Recognition. 2021.
[16]Jie Ma, Li Cai, Guobo Liao,Hongpeng Yin*, et al. A multi-phase Wiener process-based degradation model with imperfect maintenance activities,Reliability Engineering & System Safety, 232, 2023
联系方式：
yinhongpeng@gmail.com
重庆市沙坪坝区重庆大学虎溪校区信息技术科研楼A自动化学院
