Zhangshanqing Associate professor

Zhang Shanqing, male, born in 1971, doctor, associate professor, and a master's supervisor. Graduated from the School of Computer Science, East China Normal University with a Ph.D. in System Analysis and Integration in July 2004. Postdoctoral fellow in Mathematics Department, Shanghai Jiao Tong University from September 2006 to June 2008. I have been working at the School of Computer Science, Hangzhou University of Electronic Science and Technology since July 2004. During this period, I visited the University of North Carolina at Chapel Hill in the United States from September 2013 to February 2014 for six months. My research interests focus on image segmentation, denoising, video content analysis, and data security and copyright protection using images and videos as carriers. In recent years, I have participated in 3 general projects funded by the National Natural Science Foundation of China, 2 key research and development projects in Zhejiang Province, and led 1 Zhejiang Provincial Natural Science Foundation and 1 Zhejiang Provincial Public Welfare Plan. Published multiple academic papers, including nearly 20 SCI papers.

1) From September 2001 to June 2004, Ph.D. in System Analysis and Integration, East China Normal University

(2) 1992 September to 1995 June, Lanzhou University, Computational Mathematics, Master's degree

(3) 1988-09 to 1992-06, Bachelor's degree in Computational Mathematics, Lanzhou University

From October 2006 to present, Associate Professor at the School of Computer Science, Hangzhou University of Electronic Science and Technology

From July 2004 to September 2006, lecturer at the School of Computer Science, Hangzhou University of Electronic Science and Technology

From July 1995 to August 2001, worked as a programmer and clerk in the Business Department and Personal Business Department of China Construction Bank Henan Branch

Image processing, digital watermarking

Undergraduate courses: Fundamentals of Programming, Python Programming, Office Automation Software, Fundamentals of Visual Computing

Graduate Course: Applied Mathematics

1) National Natural Science Foundation of China, General Project, 62172132, Research on Digital Watermark and Camera Fingerprint Technology for Screen Capture Leakage Evidence Collection

From January 1, 2022 to December 31, 2025, 580000 yuan, under research, participated in

2) Zhejiang Provincial Natural Science Foundation, Zhejiang Provincial Basic Public Welfare Research Program, LGG18F00013, Holographic anti-counterfeiting label shape and diffraction code

Research and Application of Key Technologies for Feature Extraction, 2018-01 to 2020-2020-12, 150000 RMB, Conclusion, Hosted

3) Zhejiang Natural Science Foundation Committee, Zhejiang Natural Science Foundation, LY14F02043, Texture Image Segmentation and Restoration Based on Structural Tensors

Fu, 2014-01 to 2016-12-2016, 95000 yuan, conclusion, host

4) National Natural Science Foundation of China, General Project 61370218, Research on Digital Watermark Technology for Media Bridge, 2014-01 to 2017-12, 680000 yuan, Completed, Participated

5) National Natural Science Foundation of China, General Project, 60773119, Fuzzy Image Segmentation Based on Variational Method, 2006-01 to 2008-12, RMB 260000, Completed, Participated

1.   Shanqing Zhang; Xiaoyun Guo; Xianghua Xu; Li Li ; A video watermark algorithm based on tensor feature map, Multimedia Tools and Applications, 2023, 82: 19557-19575 (SCI)

2.   Shanqing Zhang; Hui Li; Li Li; Jianfeng Lu; Ziqian Zuo ; A High-Capacity Steganography Algorithm Based on Adaptive Frequency Channel Attention Networks, Sensors, 2022, 22(20):7844 (SCI)

3.   Zhang Shanqing; Chen Yujie; Meng Yiheng; Lu Jianfeng; Li Li; Bai Rui ; A multi-level feature weight fusion model for salient object detection, Multimedia Systems, 2022, 29: 887-895 （SCI）

4.   Shanqing Zhang; Hui Li; Li Li; Jianfeng Lu; Ching-Chun Chang ; A video watermarking algorithm based on time factor matrix, Multimedia Tools and Applications, 2022, 82: 7509-7527 (SCI)

5.   Shanqing Zhang; Shengqi Su; Li Li; Jianfeng Lu; Qili Zhou; Chin-Chen Chang ; CSST-Net: an arbitrary image style transfer network of coverless steganography, The Visual Computer, 2021, 38:2125-2137 (SCI)

6.   Shanqing Zhang, Shengqi Su, Li Li*, Jianfeng Lu, and Ching-Chun Chang. Arbitrary Style Transfer of Facial Image Based on Feed-forward Network and Its Application in Aesthetic QR Code. Journal of Internet Technology. 2020, Vol. 21, No.2, pp.511-522.

7.   ShanqingZhang,ShengqiSu,LiLi*,QiliZhou,JianfengLu,Chin-ChenChang.An image style transfer network using multilevel noise coding mechanism and its applicatipon in coverless steganography, Symmetry, 2019, 11(9):1152-1170. 

8.   Shanqing Zhang, Xiaoyun Guo, Xianghua Xu, Li Li*, Chin-Chen Chang. A video watermark algorithm based on tensor decomposition, Mathematical Biosciences and Engineering, 2019, 16(5): 3435-3449.

9.   Zhang. SQ, Li. PC, Meng. YH,LI. L*, Zhou. QL,Fu. XF. A Video Deblurring Algorithm Based on Motion Vector and An Encorder-Decoder Network, IEEE ACCESS, 2019, 7, 86778–86788.

10.Shanqing Zhang, Pengcheng Li, Xianghua Xu,Li Li*,Chingchun Chang. No-Reference Image Blur Assessment Based on Response Function of Singular Values, Symmetry, 2018,10(8),304-318.

1) National Natural Science Foundation of China, General Project, 62172132, Research on Digital Watermark and Camera Fingerprint Technology for Screen Capture Leakage Evidence Collection

From January 1, 2022 to December 31, 2025, 580000 yuan, under research, participated in

2) Zhejiang Provincial Natural Science Foundation, Zhejiang Provincial Basic Public Welfare Research Program, LGG18F00013, Holographic anti-counterfeiting label shape and diffraction code

Research and Application of Key Technologies for Feature Extraction, 2018-01 to 2020-2020-12, 150000 RMB, Conclusion, Hosted

3) Zhejiang Natural Science Foundation Committee, Zhejiang Natural Science Foundation, LY14F02043, Texture Image Segmentation and Restoration Based on Structural Tensors

Fu, 2014-01 to 2016-12-2016, 95000 yuan, conclusion, host

4) National Natural Science Foundation of China, General Project 61370218, Research on Digital Watermark Technology for Media Bridge, 2014-01 to 2017-12, 680000 yuan, Completed, Participated

5) National Natural Science Foundation of China, General Project, 60773119, Fuzzy Image Segmentation Based on Variational Method, 2006-01 to 2008-12, RMB 260000, Completed, Participated

1）Fuzzy detection method based on image gradient DCT transformation, invention patent, patent authorization, 201610873849.933852652019-05-21, School of Computer Science (School of Software), Zhang Shanqing

2）Image saliency object detection method based on deep supervised learning, invention patent, patent application, 202110312130.9, School of Computer Science (School of Software), Zhang Shanqing

3）Video action recognition method based on multi-scale feature fusion, invention patent, patent application, 202211465109.3, School of Computer Science (School of Software), Zhang Shanqing

4）Image classification method based on adaptive attenuation flexible pruning algorithm, invention patent, patent application, 202211467688.5, School of Computer Science (School of Software), Zhang Shanqing

5）Image steganography method based on convolutional neural networks and frequency domain attention, invention patent, patent application, 202111454888.2, School of Computer Science (School of Software), Zhang Shanqing

6）Video concentration method based on tensor decomposition, invention patent, patent authorization, 201910814980.1, CN110446067B, 2021-11-02, School of Computer Science (School of Software), Zhang Shanqing

7）A video deblurring method based on motion vectors and CNN, invention patent, patent authorization, 201910383006.4, CN 110111282 B, 2021-05-11, School of Computer Science (School of Software), Zhang Shanqing

8）Fuzzy detection method based on SVD decomposition in image DCT domain, invention patent, patent authorization, 201810313311, CN108510496B, 2020-09-22, School of Computer Science (School of Software), Zhang Shanqing

9）Image blur detection method based on natural image feature statistics, invention patent, patent authorization, 201610871569.435811372019-11-05, School of Computer Science (School of Software), Zhang Shanqing