姓名： 李响
职称： 讲师
专业：一般力学
研究方向：深度学习，机械故障诊断与健康管理
E-mail: xiangli@mail.neu.edu.cn
办公电话：无
个人简历： 2008-2012 天津大学 工程力学本科
2012-2017 天津大学 一般力学直博
2015-2016 美国加州大学Merced分校 博士联合培养
2017至今 东北大学理学院力学系 讲师
主页：https://sites.google.com/view/xiang-li
学术成果（代表性论文、承担的项目等）：
代表性论文：
1.Xiang Li*, Wei Zhang, Qian Ding, Cross-domain fault diagnosis of rolling element bearings using deep generative neural networks, IEEE Transactions on Industrial Electronics, 2019, 66 (7).
2.Xiang Li*, Wei Zhang, Qian Ding, Deep Learning-Based Remaining Useful Life Estimation of Bearings Using Multi-Scale Feature Extraction, Reliability Engineering & System Safety, 2019, 182: 208-218.
3.Xiang Li*, Wei Zhang, Qian Ding, A robust intelligent fault diagnosis method for rolling element bearings based on deep distance metric learning, Neurocomputing, 2018, 310, 77-95.
4.Xiang Li*, Wei Zhang, Qian Ding, Jian-Qiao Sun, Multi-layer domain adaptation method for rolling bearing fault diagnosis, Signal Processing, 2019, 157: 180-197.
5.Xiang Li*, Qian Ding, Jian-Qiao Sun, Remaining useful life estimation in prognostics using deep convolution neural networks, Reliability Engineering & System Safety, 2018, 172: 1-11.
6.Xiang Li, Jian-Qiao Sun*, Signal Multiobjective optimization for urban traffic network, IEEE Transactions on Intelligent Transportation Systems, 2018, 19 (11): 3529-3537.