

Name:Liming Yuan
Title:Associate professor
Type of tutor:Graduate supervisor
Email:yuanliming@tjut.edu.cn
Address:7-317A

I am currently an associate professor and graduate supervisor at School of Computer Science and Engineering, Tianjin University of Technology, P. R. China. In 2014, I received a Ph.D. from Harbin University of Technology. I have authored more than 50 scientific articles in international conferences and journals including INFORM SCIENCES, KNOWL-BASED SYST, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., BIBM, ICME, etc. My research interests include artificial intelligence, machine learning, and computer vision.

Medical image analysis
Intelligent sewage treatment
Machine learning
Deep learning

1. “Study on multi-instance learning methods with multiple criteria", Tianjin Natural Science Foundation (PI), 2018/10-2021/03
2. “Deep multi-instance generation methods and its application in target tracking", Tianjin Natural Science Foundation (PI), 2021/09-2022/08

[1] Jianchen Wang, Liming Yuan, Haixia Xu, Gengsheng Xie, Xianbin Wen. Channel-exchanged feature representations for person re-identification. Information Sciences 562: 370-384 (2021).
[2] Ruixu Wu, Xianbin Wen, Liming Yuan, Hai-Xia Xu. DASFTOT: Dual attention spatiotemporal fused transformer for object tracking. Knowledge Based Systems 256: 109897 (2022).
[3] Xinyu Wang, Liming Yuan, Haixia Xu, Xianbin Wen. CSDS: End-to-end aerial scenes classification with depthwise separable convolution and an attention mechanism. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14: 10484-10499 (2021).
[4] Yi Ding, Lu Zhao, Liming Yuan, Xianbin Wen. Deep multi-instance learning with adaptive recurrent pooling for medical image classification. BIBM 2022: 3335-3342.
[5] Changlun Guo, Xianbin Wen, Liming Yuan, Haixia Xu. Local-variance-based attention for visual tracking. ICME 2020: 1-6.

Discrete Mathematics (Undergraduate)
Machine Learning (Undergraduate)
Machine Learning (Graduate)

Reviewer for INFORM SCIENCES, KNOWL-BASED SYST, etc.