Faculty

Weiwei Guo

Weiwei Guo

Assistant Professor

 

Brief Introduction:

Weiwei Guo received the B.Sc., M.Sc. and PhD. degrees in information and communication engineering from the National University of Defense Technology, Changsha, China, in 2005, in 2007 and in 2014, respectively. He has been a visiting PhD. student in the area of computer vision at EECS, Queen Mary University of London between 2008 and 2010, and a PostDoc. researcher at Shanghai Jiao Tong University in the area of remote sensing image interpretation. He is an assistant professor at the Center of Digital Innovation, Tongji University. His main research interests lie in pattern recognition and machine learning and their applications in the fields of intelligent sensing and recognition, computer vision, image understanding, HCI.

 

1. Research

intelligent sensing and recognition, machine learning and image understanding, HCI

 

2. Teaching

Interaction design studio

 

3. Education Background

2010.09-2011.12 PhD student in Information and Communication Engineering, National University of Defense Technology, School of Electronic Science


2008.09-2010.08 Joint PhD student in Multimedia and Vision, Queen Mary, University of London


2008.03-2008.08 PhD student in Information and Communication Engineering, National University of Defense Technology, School of Electronic Science

 

2005.09-2007.12 Master in Information and Communication Engineering, National University of Defense Technology, School of Electronic Science

 

2001.09-2005.06 Bachelor in Information Engineering, National University of Defense Technology, School of Electronic Science

 

4. Work Experience

2018.12-now College of Design and Innovation, Tongji University, Assistant Professor

 

2014.12-2018.1,School of Electronic Information and Electrical Engineering, Shanghai Jiao tong University,  PostDoc.

 

5. Publications 

[1] Z. Zhang, W. Guo, M. Li and W. Yu, "GIS-Supervised Building Extraction With Label Noise-Adaptive Fully Convolutional Neural Network," in IEEE Geoscience and Remote Sensing Letters, vol. 17, no. 12, pp. 2135-2139, Dec. 2020

[2]Weiwei Guo, Qi Wang. Explainable Interaction in Human-Autonomous Vehicle Interaction. Package Engineering, 2020, v.41;No.432(18):33-39.

[3].Weiwei Guo, Zenghui Zhang, Wenxian Yu, etc. perspective on explainable sar target recognition. Journal of Radars, 2020, 9(3): 462–476. doi:  10.12000/JR20059

[4] Juanping Zhao, Weiwei Guo, Zenghui Zhang, and Wenxian Yu, “A coupled convolutional neural network for small and densely clustered ship detection in SAR images,” Science China-Information Science, vol. 62, no. 4, pp. 042301:1-042301:16, 2019.

[5]Huiyuan Chen, Zeyu Liu, Weiwei Guo, etc. Fast Detection of Ship Targets for Large-scale Remote Sensing Image Based on a Cascade Convolutional Neural Network. Journal of Radars, 2019, 8(3): 413–424. doi: 10.12000/JR19041

[6] Zenghui Zhang, Weiwei Guo*, Shengnan Zhu, and Wenxian Yu, “Toward arbitrary-oriented ship detection with rotated region proposal and discrimination networks,” IEEE Geoscience and Remote Sensing Letters, vol. 15, no. 11, pp. 1745-1749, 2018.

[7] Juanping Zhao, Zenghui Zhang, Wenxian Yu, and Trieu-Kien Truong, “A cascade coupled convolutional neural network guided visual attention method for ship detection from SAR images,” IEEE Access, vol. 6, pp. 50693-50708, 2018.

[8]Juanping Zhao, Weiwei Guo, Zenghui Zhang, Wenxian Yu, Convolutional Neural Network-based SAR Image Classification with Noisy Labels, Journal of Radars, vol. 6, no. 5, pp. 514-523, 2017.

[9]W. Guo, I. Kotsia and I. Patras, "Tensor Learning for Regression," in IEEE Transactions on Image Processing, vol. 21, no. 2, pp. 816-827, Feb. 2012, doi: 10.1109/TIP.2011.2165291.

[10]Kotsia, I., Weiwei Guo and I. Patras. “Higher rank Support Tensor Machines for visual recognition.” Pattern Recognition. 45 (2012): 4192-4203

 

6. Contact

Phone:18621389226

Email: Weiwei Guo@tongji.edu.cn

 

 

 

 


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