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Scientists

Details of the Faculty or Staff
Name:  
Dong, Jing
Title:  
  
Highest Education:  
  
Office:  
  
Phone:  
   86-10-82544641
Zip Code:  
   100190
Fax:  
  
Email:  
   jdong@nlpr.ia.ac.cn

Education and Appointments:

  Dr. Jing Dong received her Ph.D of Pattern Recognition from the Institute of Automation, Chinese Academy of Sciences (CASIA) in 2010. She is currently an Associate Professor in the National Laboratory of Pattern Recognition in CASIA. She is a senior member of IEEE. Her research interests include pattern recognition, image processing and image forensics. She has chaired in many major national scientific projects and played a leading role in several national and international technical conferences. She is now an associate editor for the Elsevier Journal of Information Security and Applications and IET Image Processing. She is a member of the Youth Innovation Promotion Association, Chinese Academy of Sciences and also serves as the deputy-general of Chinese Association for Artificial Intelligence, deputy-general of China Society of Image and Graphics. She has been a very active volunteer leader in IEEE since the year of 2008. She was the founding chair of IEEE University of Chinese Academy of Sciences (UCAS) Student Branch, the chair of Student Activity Committee of IEEE Beijing Section during 2011-2014, the 2009-2010 IEEE R10 Student sub-Representative (responsible for North-East of R10 zone), the Coordinator of R10 Electronic Communications & Information Management (EEC&IM) Committee during 2011-2012 and she is currently the coordinator of R10 Women in Engineering Committee and a member of IEEE R10 Membership Development Committee, IEEE MGA vTools Committee, IEEE WIE Committee and IEEE Ad Hoc Committee on China Strategy.  

Personal Homepage         http://cripac.ia.ac.cn/en/EN/column/item113.shtml

  


Research Interest:
 Pattern Recognition, Image Processing for Digital Forensics
Public Services:

Honors:
 
Seleted Publication:
 1. Yinlong Qian, Jing Dong, Wei Wang and Tieniu Tan; Deep learning for steganalysis via convolutional neural networks, Proc. SPIE, Electronic Imaging, Media Watermarking, Security, and Forensics 2015.

  2. Zairan Wang, Jing Dong and Wei Wang, Quantization based watermarking methods against valumetric distortions, [J] International Journal of Automation and Computing, 2015

  3. Wei Wang, Jing Dong and Tieniu Tan, Exploring DCT Coefficient Quantization Effects for Local Tampering Detection, IEEE Transactions on Information Forensics and Security, 2014, Volume 9 , Issue10, pp 1653 – 1666

  4. Jing Dong, Wei Wang and Tieniu Tan, Casia Image Tampering Detection Evaluation Database, the 1st IEEE China Summit and International Conference on Signal and Information Processing, (Invited Paper) Beijing, China, July 7-10, 2013

  5. Jing Dong, Wei Wang and Tieniu Tan, Multi-class Blind Steganalysis Based on Image Run-length Analysis. Oral presentation in the 8th International Workshop of Digital Watermarking (IWDW2009). pp.199-210.

  6. Jing Dong, Wei Wang, Tieniu Tan and Yun-Qing Shi, Run-length and Edge Statistics Based Approach for Image Splicing Detection. Oral presentation in the 7th International Workshop of Digital Watermarking (IWDW2008). pp.76-87.

  7. Jing Dong and Tieniu Tan, Effects of Watermarking on Iris Recognition Performance. Oral presentation In the 10th International Conference on Control, Automation, Robotics and Vision. ( ICARCV 2008) Page 1156-1161.

  8. Jing Dong and Tieniu Tan, Security Enhancement of Biometrics, Cryptography and Data hiding by Their Combinations. Oral presentation in the International Conference of Visual Information Engineering (VIE08). pp.239-244.

  9. Jing Dong and Tieniu Tan, Blind Image Steganalysis Based on Run-length Histogram Analysis. In the 15th IEEE International Conference of Image Processing 2008 (ICIP08). pp.2064- 2067.

  10. Jing Dong, Xiaochuan Chen, Lei Guo and Tieniu Tan, Fusion Based Blind Image Steganalysis by Boosting Feature Selection. Oral presentation in the 6th International Workshop of Digital Watermarking (IWDW2007). pp. 86-97.


Supported Projects:

  1. Principle Investigator, of project “Image Steganalysis based on Deep Learning”. Supported by National Natural Sciences Foundation of China. (2013.1 – 2016.1)

  2. Principle Investigator, of project “Image Steganalysis based on Transfer Learning”. Supported by National Natural Sciences Foundation of China. (2016.1 – 2018.1)

  3. Principle Investigator, of project “Bilnd Image Steganography and Steganalysis”. Supported by the * National Foundations. (2011.4-2014.12)

  4. Principle Investigator, of project “Key Research Problem for Digital Right Protection”. Supported by the National Key Technology R&D Program of China. (2012.1-2014.12)

  5. Key Researcher, of project “Digital Rights Protection based on Watermarking”. supported by the National Key Technology R&D Program of China. (2009.12–2007.12)