Name | Gang Cao (中文简历) | |
Title | Professor | |
Department | Department of Cybersecurity | |
gangcao@cuc.edu.cn | ||
Courses Taught | Digital Content Security (Bachelor Program), Matrix Theory (Master Program), Multimedia Forensics and Security (Doctoral Program) | |
Research Interest or Teaching Expertise | Multimedia Forensics, Computer Vision | |
Self-Introduction | My research interest is on multimedia security & processing. I have hosted two Natural Science Foundation of China (NSFC) as Principal Investigator (PI), and joined a National 973 Sub-project and some NSFCs. I have published more than 40 international journal/conference papers on IEEE TIFS/SPL, Science China-Information Science, IET-Image Processing, Forensic Science International, ICIP, ICME, ACM MM&Sec, etc. More than 20 of them are indexed by SCI. Up to Nov. 2020, Google Scholar shows my papers have been cited by 868 times with the highest 206 citations for a single paper. One paper was reported by the special column of Readers’ Choice, IEEE Signal Processing Magazine. I won the 2015 Science and Technology Award of Communication University of China, and the 2019 Excellent Paper Award of China Society of Motion Picture & Television Engineers. I served as reviewers for NSFC, Academic Dissertation Center of Ministry of Education, and the journals of IEEE TIFS/TIP/TSP/TMM/SPL, etc. I am a member of IEEE, CCF and two special committees of CSIG. | |
Publication | [1] Zijie Lou, Gang Cao*, Kun Guo, Lifang Yu, Shaowei Weng. Exploring multi-view pixel contrast for general and robust image forgery localization, IEEE Trans. on Info. Forensics and Security, 20: 2329-2341, 2025 [2] Zijie Lou, Gang Cao*, Man Lin. Video inpainting localization with contrastive learning, IEEE Signal Processing Letters, 32: 611-615, 2025 [3] Zijie Lou, Gang Cao*, Kun Guo, Shaowei Weng, Lifang Yu. Image forgery localization with state space models, IEEE Signal Processing Letters, DOI: 10.1109/LSP.2025.3559429, 2025 [4] Haochen Zhu, Gang Cao*, Mo Zhao, Huawei Tian, Weiguo Lin. Effective image tampering localization with multi-scale ConvNeXt feature fusion, Journal of Visual Comm. and Image Representation, 98: 103981, 2024 [5] Kun Guo, Haochen Zhu, Gang Cao*. Effective image tampering localization via enhanced Transformer and co-attention fusion, IEEE Intl. Conf. Acoustics, Speech & Signal Process. (ICASSP), 2024 [6] Jianfa Bai, Man Lin, Gang Cao*, Zijie Lou. AI-generated video detection via spatial-temporal anomaly learning, Chinese Conf. on Pattern Recog. & Computer Vision (PRCV), 2024 [7] Zijie Lou, Gang Cao*, Man Lin. Black-box attack against GAN-generated image detector with contrastive perturbation, Engineering Applications of Artificial Intelligence, 124: 106594, 2023 [8] Mo Zhao, Gang Cao*, Xianglin Huang, Lifang Yang. Hybrid transformer-CNN for real image denoising, IEEE Signal Processing Letters, 29: 1252-1256, 2022 [9] Gang Cao, Lihui Huang, Huawei Tian, Xianglin Huang, Yongbin Wang, Ruicong Zhi. Contrast enhancement of brightness-distorted images by improved adaptive gamma correction, Computers & Electrical Engineering, 66: 569-582, 2018 [10] Gang Cao, Yao Zhao, etc. Contrast enhancement-based forensics in digital images, IEEE Trans. on Info. Forensics and Security, 9(3): 515-525, 2014 [11] Gang Cao, Yao Zhao, etc. Attacking contrast enhancement forensics in digital images, Science China Information Sciences, 57(5): 052110(1-13), 2014 [12] Gang Cao, Yao Zhao, etc. Unsharp masking sharpening detection via overshoot artifacts analysis, IEEE Signal Processing Letters, 18(10): 603-607, 2011 | |
Projects | 1. Theory and method of image tampering forensics, General Program of NSFC (62071434), 2021-2024, PI, RMB630,000.00 2. Extraction and evaluation of device fingerprints in images, General Program of NSFC (Joint Project, 61772539), 2018-2021, Co-PI, RMB150,000.00 3. On robustness and security of image forensics, Youth Program of NSFC (61401408), 2015-2017, PI, RMB270,000.00 | |
Admission Requirements | Interested in the fundamental research of multimedia security and image/video processing, determined to publish remarkable academic research results. |