World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
75
Citations
20302
World Ranking
1426
National Ranking
193

Overview

Jiwu Huang is affiliated with Shenzhen University in China and specializes in the field of computer science, with a strong focus on computer vision and pattern recognition. Their research contributions span various subfields including artificial intelligence, signal processing, media technology, and information systems.

Their work covers several major topics, among which are:

  • Digital Media Forensic Detection
  • Advanced Steganography and Watermarking Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Chaos-based Image/Signal Encryption
  • Adversarial Robustness in Machine Learning
  • Advanced Image Processing Techniques
  • Face recognition and analysis

Jiwu Huang has a record of publications in prominent venues, frequently contributing to:

  • IEEE Transactions on Information Forensics and Security
  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Dependable and Secure Computing
  • Signal Processing

Recent papers reflect a focus on image forensics and security, including:

  • Identification of deep network generated images using disparities in color components (2020, Signal Processing)
  • An Automatic Cost Learning Framework for Image Steganography Using Deep Reinforcement Learning (2020, IEEE Transactions on Information Forensics and Security)
  • Image Tampering Localization Using a Dense Fully Convolutional Network (2021, IEEE Transactions on Information Forensics and Security)
  • Face Spoofing Detection Based on Local Ternary Label Supervision in Fully Convolutional Networks (2020, IEEE Transactions on Information Forensics and Security)
  • Self-Adversarial Training Incorporating Forgery Attention for Image Forgery Localization (2022, IEEE Transactions on Information Forensics and Security)

Jiwu Huang has collaborated extensively with other researchers, with frequent co-authors including:

  • Shunquan Tan
  • Bin Li
  • Weiqi Luo
  • Wei Lu
  • Weixuan Tang

The breadth of Jiwu Huang's research output comprises over 300 publications, predominantly within computer science. Their work integrates advanced techniques in digital media forensics, image processing, and machine learning forensics, reflecting a sustained commitment to the security and integrity of digital visual content.

Best Publications

  • Edge Adaptive Image Steganography Based on LSB Matching Revisited

    Weiqi Luo;Fangjun Huang;Jiwu Huang

  • A new cost function for spatial image steganography

    Bin Li;Ming Wang;Jiwu Huang;Xiaolong Li

  • A survey on image steganography and steganalysis

    Bin Li;Junhui He;Jiwu Huang;Yun Qing Shi

  • A DWT-DFT composite watermarking scheme robust to both affine transform and JPEG compression

    Xiangui Kang;Jiwu Huang;Yun Q Shi;Yan Lin

  • Robust Detection of Region-Duplication Forgery in Digital Image

    Weiqi Luo;Jiwu Huang;Guoping Qiu

  • Embedding image watermarks in dc components

    Jiwu Huang;Y.Q. Shi;Yi Shi

  • Automatic Steganographic Distortion Learning Using a Generative Adversarial Network

    Weixuan Tang;Shunquan Tan;Bin Li;Jiwu Huang

  • Efficiently self-synchronized audio watermarking for assured audio data transmission

    Shaoquan Wu;Jiwu Huang;Daren Huang;Y.Q. Shi

  • Digital image splicing detection based on Markov features in DCT and DWT domain

    Zhongwei He;Wei Lu;Wei Sun;Jiwu Huang

  • JPEG Error Analysis and Its Applications to Digital Image Forensics

    Weiqi Luo;Jiwu Huang;Guoping Qiu

  • A Novel Method for Detecting Cropped and Recompressed Image Block

    Weiqi Luo;Zhenhua Qu;Jiwu Huang;Guoping Qiu

  • A Strategy of Clustering Modification Directions in Spatial Image Steganography

    Bin Li;Ming Wang;Xiaolong Li;Shunquan Tan

  • New Framework for Reversible Data Hiding in Encrypted Domain

    Fangjun Huang;Jiwu Huang;Yun-Qing Shi

  • Enhancing Source Camera Identification Performance With a Camera Reference Phase Sensor Pattern Noise

    Xiangui Kang;Yinxiang Li;Zhenhua Qu;Jiwu Huang

  • Robust Image Watermarking Based on Multiband Wavelets and Empirical Mode Decomposition

    Ning Bi;Qiyu Sun;Daren Huang;Zhihua Yang

  • CNN-Based Adversarial Embedding for Image Steganography

    Weixuan Tang;Bin Li;Shunquan Tan;Mauro Barni

  • Identification of deep network generated images using disparities in color components

    Haodong Li;Bin Li;Shunquan Tan;Jiwu Huang

  • An Embedding Cost Learning Framework Using GAN

    Jianhua Yang;Danyang Ruan;Jiwu Huang;Xiangui Kang

  • Detecting Double JPEG Compression With the Same Quantization Matrix

    Fangjun Huang;Jiwu Huang;Yun Qing Shi

  • Reversible Data Hiding in JPEG Images

    Fangjun Huang;Xiaochao Qu;Hyoung Joong Kim;Jiwu Huang

  • CNN Based Adversarial Embedding with Minimum Alteration for Image Steganography.

    Weixuan Tang;Bin Li;Shunquan Tan;Mauro Barni

  • Adaptive image watermarking scheme based on visual masking

    Jiwu Huang;Yun Q. Shi

  • Large-Scale JPEG Image Steganalysis Using Hybrid Deep-Learning Framework

    Jishen Zeng;Shunquan Tan;Bin Li;Jiwu Huang

Frequent Co-Authors

Yun Q. Shi
Yun Q. Shi New Jersey Institute of Technology
Guoping Qiu
Guoping Qiu University of Nottingham
Wei Lu
Wei Lu Sun Yat-sen University
Sam Kwong
Sam Kwong Lingnan University
Anderson Rocha
Anderson Rocha State University of Campinas
C.-C. Jay Kuo
C.-C. Jay Kuo University of Southern California
Mauro Barni
Mauro Barni University of Siena
Hyoung Joong Kim
Hyoung Joong Kim Korea University
Shaw-Min Lei
Shaw-Min Lei MediaTek (Taiwan)
Nirwan Ansari
Nirwan Ansari New Jersey Institute of Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring a Computer Science degree in the USA opens up a world of related fields and dynamic career paths—especially with the flexibility of online learning. Many students are now considering alternative or complementary degrees in engineering and environmental science to broaden their opportunities.

For those looking to finish their studies quickly, a 1 year computer science degree online is a popular option. These accelerated programs are ideal for motivated learners wanting to enter the tech workforce rapidly.

Interdisciplinary fields like environmental science and engineering are also in demand. Graduates can land high-paying jobs with environmental science degree credentials, merging technical skills with a passion for sustainability.

Engineering remains a cornerstone in technology-related careers. You can earn an environmental engineering bachelor's degree online or pursue an online mechanical engineering degree. These programs offer affordability and flexibility while preparing you for diverse, in-demand roles across industries.

Whether you’re aiming for a traditional tech job or wish to branch into related fields, online degrees provide accessible pathways to a successful career.

Best Scientists Citing Jiwu Huang

Trending Scientists