Dr. Yuan Rao | Computer Science | Best Researcher Award

Lecturer | School of Artificial Intelligence, Guangzhou University | China

Yuan Rao is a dedicated researcher and lecturer specializing in media forensics and AI security. She has contributed significantly to the field of image forgery detection, focusing on self-supervised learning and domain adaptation techniques. Currently a Lecturer at the School of Artificial Intelligence, Guangzhou University, Yuan Rao combines academic excellence and practical expertise, earning recognition through various awards and high-impact publications.

Profile

Scopus

Google Scholar

Strengths for the Awards

• Outstanding Research Contributions 
  • Yuan Rao has published numerous high-impact research articles in leading journals and conferences such as:
    • IEEE Transactions on Pattern Analysis and Machine Intelligence
    • Pattern Recognition
    • IEEE International Conference on Computer Vision (ICCV)
  • Her work on JPEG-resistant image forgery detection and AI security vulnerabilities reflects groundbreaking innovation in media forensics.
• Leadership in Projects 
  • She has successfully undertaken four research projects as Principal Investigator (PI), funded by prestigious bodies such as:
    • National Natural Science Foundation of China
    • Guangdong Basic and Applied Research Foundation
    • Science and Technology Foundation of Guangzhou

🎓 Education

• PhD in Information and Communication Engineering (2014.9 – 2021.6)
  • Sun Yat-sen University
  • Supervisor: Professor Ni Jiangqun
• Master’s in Communication and Information Systems (2011.9 – 2014.6)
  • Jinan University
  • Supervisor: Professor Junkai Huang
• Bachelor’s in Telecommunications Engineering and Management (2007.9 – 2011.6)
  • Beijing University of Posts and Telecommunications

 Work Experience

• Lecturer (2021.6 – Present)
  • School of Artificial Intelligence, Guangzhou University
  • Yuan Rao conducts research, supervises projects, and inspires students in the evolving fields of AI and media forensics.

🔍 Research Interests On Computer Science

Yuan Rao’s primary research interests focus on:

• Media Forensics: Detecting and localizing image forgeries using deep learning and self-supervised techniques.
• AI Security: Exploring vulnerabilities and robustness of AI models in practical scenarios.

🏆 Awards

• 🥇 Champion and 3rd Place in “Guangzhou Pazhou Algorithm Competition” – Algorithm Safety Track, 2023
• 🥇 First Prize in the National “Challenge Cup” Black Science and Technology Special Competition, 2023
• 🏅 6th Rank out of 1471 in “Secure AI Challenger Program: Tamper Detection for Forged Images,” 2020

📚 Publications

1. A Deep Learning Approach to Detection of Splicing and Copy-Move Forgeries in Images

• Authors: Y. Rao, J. Ni
• Publication Year: 2016
• Citations: 590

2. Deep Learning Local Descriptor for Image Splicing Detection and Localization

• Authors: Y. Rao, J. Ni, H. Zhao
• Publication Year: 2020
• Citations: 104

3. Multi-semantic CRF-based Attention Model for Image Forgery Detection and Localization

• Authors: Y. Rao, J. Ni, H. Xie
• Publication Year: 2021
• Citations: 53

4. Block-based Convolutional Neural Network for Image Forgery Detection

• Authors: J. Zhou, J. Ni, Y. Rao
• Publication Year: 2017
• Citations: 46

5. Self-supervised Domain Adaptation for Forgery Localization of JPEG Compressed Images

• Authors: Y. Rao, J. Ni
• Publication Year: 2021
• Citations: 29

6. Towards JPEG-Resistant Image Forgery Detection and Localization via Self-Supervised Domain Adaptation

• Authors: Y. Rao, J. Ni, W. Zhang, J. Huang
• Publication Year: 2022
• Citations: 13

7. High-accuracy Current Sensing Circuit with Current Compensation Technique for Buck–Boost Converter

• Authors: Y. Rao, W.L. Deng, J.K. Huang
• Publication Year: 2015
• Citations: 5

8. A Trigger-Perceivable Backdoor Attack Framework Driven by Image Steganography

• Authors: W. Tang, J. Li, Y. Rao, Z. Zhou, F. Peng
• Publication Year: 2024
• Citations: – (Recent publication, citation data unavailable)

9. Dig a Hole and Fill in Sand: Adversary and Hiding Decoupled Steganography

• Authors: W. Tang, H. Yang, Y. Rao, Z. Zhou, F. Peng
• Publication Year: 2024
• Citations: – (Recent publication, citation data unavailable)

10. Exploring the Vulnerability of Self-supervised Monocular Depth Estimation Models

• Authors: R. Hou, K. Mo, Y. Long, N. Li, Y. Rao
• Publication Year: 2024
• Citations: – (Recent publication, citation data unavailable)

11. MKD: Mutual Knowledge Distillation for Membership Privacy Protection

• Authors: S. Huang, Z. Liu, J. Yu, Y. Tang, Z. Luo, Y. Rao
• Publication Year: 2023
• Citations: – (Recent publication, citation data unavailable)

12. Deep Multi-image Hiding with Random Key

• Authors: W. Zhang, W. Tang, Y. Rao, B. Li, J. Huang
• Publication Year: 2023
• Citations: – (Recent publication, citation data unavailable)

Research Projects

Yuan Rao has led multiple projects as Principal Investigator (PI):

1. National Natural Science Foundation of China: Research on Self-supervised Transfer Learning Based Image Forgery Forensics.
2. Guangdong Basic and Applied Basic Research Foundation: Image Forgery Localization Combining Self-supervised Learning and Knowledge Distillation.
3. Science and Technology Foundation of Guangzhou: Verifiable Robustness of Object Detection Models Using Domain Knowledge.
4. Science and Technology Foundation of Guangzhou: Short-term Heavy Precipitation Forecasting with Super-resolution Reconstruction.

📝 Conclusion

Yuan Rao is a prominent researcher and educator in media forensics and AI security. With a robust academic background, impressive research achievements, and numerous accolades, she is committed to advancing technologies that ensure the integrity and security of digital media.