1990 ―1994 B.S., Mechatronic Engineering, Tiangong University
1994 ―1997 M.S., Industrial Automation Engineering, Tiangong University
2000 ―2004 Ph.D.,Mechatronic Engineering, Shanghai Jiao Tong University

1997-1999: Assistant Professor, Department of Mechanical Engineering, Tianjin University of Science&Technology
1999-2000 Lecture, Department of Mechanical Engineering, Tianjin University of Science&Technology
2004-2005 Lecture, School of Mechanical Engineering,Shanghai Jiao Tong University
2005- Associate Professor, School of Mechanical Engineering,Shanghai Jiao Tong University

2014.1-2014.12 University of Cincinnati

1.Agricultural Robot,Mobile robot in unstructured environment
2.Perception and adaptive control in unstructured environment and
3.Machine vision and visual servo
4.Autonomous driving

1. 2016―2020 National Key Research and Development Project-
Research and development of intelligent control system and the advanced technology for autonomous operation of tractor in Hilly Area, Person in charge

[1]Xiao, D., Huang, Y., Qin, C., Liu, Z., Li, Y., & Liu, C. (2019). Transfer learning with convolutional neural networks for small sample size problem in machinery fault diagnosis. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 0954406219840381.
[2]Xiao, D., Huang, Y., Qin, C., Shi, H., & Li, Y. (2019). Fault Diagnosis of Induction Motors Using Recurrence Quantification Analysis and LSTM with Weighted BN. Shock and Vibration, 2019.
[3]Zhang Y, Li Y, Huang Y, et al. A Path Tracking Method for Autonomous Rice Drill Seeder in Paddy Fields[C]//MATEC Web of Conferences. EDP Sciences, 2018, 220: 04004.
[4]Cai, C., Huang, Y., Wang, K., Li, Y., & Xing, H. (2018, August). Data-Driven Based State Recognition Method for Airliner Fuselage Join. In 2018 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC) (pp. 171-175). IEEE.
[5]Xiao, D., Huang, Y., Zhang, X., Shi, H., Liu, C., & Li, Y. (2018, October). Fault Diagnosis of Asynchronous Motors Based on LSTM Neural Network. In 2018 Prognostics and System Health Management Conference (PHM-Chongqing) (pp. 540-545). IEEE
[6]Huang Y, Li Y, Liu C, et al. A feature extraction method based on probabilistic Principal components analysis and sampling importance resampling for bearing fault detection[C]// IEEE International Conference on Prognostics & Health Management. 2017.
[7]Li Y , Xi X , Xie J , et al. Study and Implementation of a Cooperative Hoisting for Two Crawler Cranes[J]. Journal of Intelligent & Robotic Systems, 2016, 83(2):165-178.
[8]Du W, Tao J, Li Y, et al. Wavelet leaders multifractal features based fault diagnosis of rotating mechanism[J]. Mechanical Systems and Signal Processing, 2014, 43(1): 57-75.
[9]Yanming Li, Shuangyuan Wang, and Bingchu Li ,Improved Visual Hook Capturing and Tracking for Precision Hoisting of Tower Crane[J], Advances in Mechanical Engineering, Volume 2013, Article ID 426810, 8 pages, http://dx.doi.org/10.1155/2013/426810
[10]Yanming Li, Chengliang Liu，Integrating field data and 3D simulation for tower crane activity monitoring and alarming[J]，Automation in Construction, 27(2012)：111–119.

1. System, model, analysis and control
2.Design and practice of Mechatronical system

2009,National Science and Technology Progress Award, Class 2