ZHANG Jie
Professor
Email: lsy55zj@swjtu.edu.cn
Links: https://faculty.swjtu.edu.cn/zhangjie/en/index.htm
BIO
Education
PhD, Southwest Jiaotong University, Vehicle Application Engineering (2004)
M.A., Southwest Jiaotong University, Measuring and Controlling Technology (2000)
B.S., Southwest Jiaotong University, Measuring and Controlling Technology (1997)
Employment
Academic Appointments
Professor, Department of Electromechanical Measuring and Controlling, Southwest Jiaotong University, China (2018-present)
Associate Professor, Department of Electromechanical Measuring and Controlling, Southwest Jiaotong University, China (2005-2017)
Research Interests
artificial intelligence, computer vision, blind signal processing
SELECTED PUBLICATIONS
Principal Publications of the Last Five Years
Jie Zhang, et al. Adaptive parameter blind source separation technique for wheel condition monitoring, Mechanical Systems and Signal Processing, 90: 208-221, 2017.
Jie Zhang, et al. A new real-time processing approach of frequency-varying machinery, Journal of Vibration and Control, 24(11): 2359-2368, 2018.
Li He and Jie Zhang. Railway Driver Behavior Recognition System Based on Deep Learning Algorithm. 2021 4th International Conference on Artificial Intelligence and Big Data, IEEE.
Li He and Jie Zhang. Snowflakes Removal for Single Image Based on Model Pruning and Generative Adversarial Network. 2019 IEEE 4th International Conference on Image, Vision and Computing, IEEE.
Bo Zhang, Jie Zhang. Robot Mapping and Navigation System Based on Multi - Sensor Fusion. 2021 4th International Conference on Artificial Intelligence and Big Data, IEEE.
Pin Cao, Jie Zhang, et al., Removal of Rain Streaks in Air Using GAN, 2021 4nd International Conference on Artificial Intelligence and Big Data, IEEE.
Weiwei Yao, Jie Zhang, et al., Semantic Segmentation Optimization Algorithm Based on Knowledge Distillation and Model Pruning. 2019 2nd International Conference on Artificial Intelligence and Big Data, IEEE.
RESEARCH
Current Research
Project Director，Nonlinear blind source separation theory and application for real-time damage diagnosis of high speed train wheel，supported by the National Natural Science Foundation of China，No. 51775449.
TEACHING
Primary Teaching areas
Mechanical vibration
Measuring and condition monitoring of high-speed railway
Current Courses
Mechanical vibration
Measuring and condition monitoring of high-speed railway
GRADUATE SUPERVISION
I am available for supervision. Over the past five years, I have supervised and graduated 30 M.A.s.
