Demo Data from VLDB 2026 / reviewers in the wild / expert
Tongchao Feng
dblp:416/9161
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2025
0009-0007-9657-519XORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
2 papers |
Digital forensics and information hiding · 100% | |
| Artificial intelligence
1 paper |
Generative modeling · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Generative modeling
generative adversarial network |
0.9 | 1 | 2025 | MTVDGAN: Multi-Token-ViT Dense GAN for Robust Screen-Shooting Watermarking · IEEE Trans. Inf. Forensics Secur. 2025 |
Digital forensics and information hiding
copyright protection |
0.9 | 1 | 2025 | A Blockchain and Improved Perception Hash Based Copyright Protection Scheme for Purely Chromatic Background Images · IEEE Trans. Multim. 2025 |
Digital forensics and information hiding
image hashing |
0.9 | 1 | 2025 | A Blockchain and Improved Perception Hash Based Copyright Protection Scheme for Purely Chromatic Background Images · IEEE Trans. Multim. 2025 |
Digital forensics and information hiding
perceptual hashing |
0.9 | 1 | 2025 | A Blockchain and Improved Perception Hash Based Copyright Protection Scheme for Purely Chromatic Background Images · IEEE Trans. Multim. 2025 |
Digital forensics and information hiding › watermarking › robust watermarking
screen-shooting robust watermarking |
0.9 | 1 | 2025 | MTVDGAN: Multi-Token-ViT Dense GAN for Robust Screen-Shooting Watermarking · IEEE Trans. Inf. Forensics Secur. 2025 |
Digital forensics and information hiding
watermarking |
0.9 | 1 | 2025 | MTVDGAN: Multi-Token-ViT Dense GAN for Robust Screen-Shooting Watermarking · IEEE Trans. Inf. Forensics Secur. 2025 |
Methods — techniques the papers use, named apart from their topics
multi-token vit · 1.7dense GAN · 1.7perceptual hash · 0.9discrete cosine transform · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | MTVDGAN: Multi-Token-ViT Dense GAN for Robust Screen-Shooting Watermarking
Guangyong Gao, Tongchao Feng, Zhangjie Fu 0001, Yun Q. Shi 0001 |
IEEE Trans. Inf. Forensics Secur. | 3 |
| 2025 | A Blockchain and Improved Perception Hash Based Copyright Protection Scheme for Purely Chromatic Background ImagesabstractPurely chromatic background images are widely used in computer wallpapers and advertisements, leading to issues such as copyright infringement and the loss of interest of holders. Image hashing is a technique used for comparing the similarity between images, and is often used for image verification, search, and copy detection due to its insensitivity to subtle changes in the original image. In a purely chromatic background image, the central detail of the image is the primary part and the key for copyright authentication. As the perception hash (pHash) algorithm only retains the low-frequency portion of the discrete cosine transform (DCT) matrix, it is unsuitable for purely chromatic background images. To deal with this issue, we propose an improved perception hash (ipHash) algorithm to enhance the universality of the algorithm by extracting purely chromatic background image features. Meanwhile, the development of image hashing is restricted due to the requirement of a trusted third party. To solve this issue, a secure blockchain-based image copyright protection scheme is designed. It realizes the copyright authentication and traceability, and overcomes the issue of a lack of trusted third parties. Experimental results show that the proposed method outperforms the state-of-theart image copyright protection schemes. Guangyong Gao, Tongchao Feng, Chongtao Guo, Zhihua Xia, Yun Q. Shi 0001 |
IEEE Trans. Multim. | 2 |