Zhiqing Guo

Zhiqing Guo

Ph.D., Associate Professor

I am currently an Associate Professor at the School of Computer Science and Technology, Xinjiang University, Urumqi, China. I received the Ph.D. degree in Computer Science and Technology from Hunan University in 2023, advised by Prof. Gaobo Yang. I am the PI of several projects, such as the Natural Science Foundation of China (NSFC). I have published several research papers in international journals, such as IEEE TIFS, TMM, TCSVT, and ACM TOMM. I am now leading the Visual Perception and Security Group (VPSG), with main research interests in multimedia forensics, image/video content security, visual scene understanding.

VPSG is looking for self-motivated students who are committed to research. Please feel free to contact Dr. Zhiqing Guo through the Email (attach your CV).

Homepage in Chinese

🔥 News

  • [2025/01/04] 🎉 One paper was accepted by Information Fusion!
  • [2024/12/21] 🎉 Three papers were accepted by ICASSP 2025!
  • [2024/10/28] 🎉 One paper was accepted by ESWA!
  • [2024/10/27] 🏆 We won the Outstanding Paper Award in the 5th CSIG ChinaMFS Conference.
  • [2024/10/23] 🎉 One paper was accepted by ASOC!
  • [2024/09/15] 🏆 Our team won the Top 20 Excellence Award in The Global Multimedia Deepfake Detection.
  • [2024/08/26] 🎉 A proactive deepfake detection project was funded by NSFC.
  • [2024/06/25] 🎉 One paper was accepted by PRCV 2024!
  • [2024/05/31] 🎉 One paper was accepted by IPM!
  • [2024/04/11] 🎓 I was selected as a doctoral supervisor.
  • [2024/04/03] 🎤 I was invited to participate in the 12th Boda Information Forum and gave a report.
  • [2024/01/16] 🏆 I was awarded “Outstanding Contributor to Scientific Research” by the School of Computer Science and Technology of Xinjiang University.
  • [2024/01/15] 🎉 One paper was accepted by NCA!
  • [2023/12/11] 🎓 I was selected for the Tianchi Talents - Young Doctor Project.
  • [2023/12/09] ⭐️ I became an Associate Professor at Xinjiang University.
  • [2023/12/08] 🏆 I won the Outstanding Report Award at the Third Postgraduate Academic Forum in the journal of image and graphics.
  • [2023/10/11] 🎉 One paper was accepted by IEEE TIFS!

💰 Research Fundings, PI

  • 2025.01-2028.12, “Research on Proactive Trusted Traceability Algorithm for Deepfake Faces”, National Natural Science Foundation of China (NSFC), Regional Project, Grant No.62462060
  • 2024.01-2026.12, “Authenticity Authentication of Multimedia Content”, Tianchi Talents Program of Autonomous Region
  • 2024.01-2026.12, “Research on Deepfake Face Passive Forensics for Public Opinion Security”, National Natural Science Foundation of China (NSFC), Young Project, Grant No.62302427
  • 2023.09-2026.08, “Research on Key Technologies of Face Image Authenticity Detection”, Autonomous Region Natural Science Foundation, Young Project, Grant No.2023D01C175
  • 2023.03-2025.03, “Research on Efficient Passive Forensic Algorithm Based on Face Forgery Image”, Autonomous Region Education Department Project, Grant No.XJEDU2023P009

📝 Publications

NOTE: corresponding authors are indicated using *

🧙‍♂️ Deepfake Detection

IEEE-TIFS 2024
sym

Constructing New Backbone Networks via Space-Frequency Interactive Convolution for Deepfake Detection
Z. Guo, Z. Jia*, L. Wang, D. Wang, G. Yang*, and N. Kasabov. IEEE Transactions on Information Forensics and Security, vol. 19, pp. 401-413, 2024, doi: 10.1109/TIFS.2023.3324739. (CCF-A, Top Journal)

[Code]

  • This work proposes a new detection paradigm for deepfake detection.
IEEE-TCSVT 2024
sym

LDFnet: Lightweight Dynamic Fusion Network for Face Forgery Detection by Integrating Local Artifacts and Global Texture Information
Z. Guo, L. Wang*, W. Yang, G. Yang*, and K. Li. IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 2, pp. 1255-1265, 2024, doi: 10.1109/TCSVT.2023.3289147.（CCF-B, Top Journal）

  • This work proposes an unified end-to-end framework, which can realize efficient deepfake detection.
IEEE-TMM 2023
sym

Exposing Deepfake Face Forgeries with Guided Residuals
Z. Guo, G. Yang*, J. Chen, and X. Sun. IEEE Transactions on Multimedia, vol. 25, pp. 8458-8470, 2023, doi: 10.1109/TMM.2023.3237169.（CCF-B, Top Journal）

  • This work expands the applications of the guided filter, and overcomes the potential bias in the prediction-based residuals.

🔣 Image Steganography

🔍 Others

🤝 Academic Services

Technical Committee：

  • Member, China Society of Image and Graphics (CSIG), Digital Forensics and Security Technical Committee.
  • Member, China Computer Federation (CCF), Computer Vision Technical Committee.
  • Member, China Computer Federation (CCF), Artificial Intelligence and Pattern Recognition Technical Committee.

Journal Reviewer:

  • IEEE Transactions on Information Forensics and Security
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Circuits and Systems for Video Technology
  • ACM Transactions on Multimedia Computing, Communications, and Applications
  • Pattern Recognition
  • Computer Vision and Image Understanding
  • Information Fusion
  • Knowledge-Based Systems

Conference Reviewer:

  • ACM Multimedia
  • International Conference on Multimedia and Expo

💬 Contacts

  • Address: No.777, Huarui Road, Urumqi, China.
  • Email: guozhiqing [at] xju [dot] edu [dot] cn