📝 Publications

NOTE: Corresponding Authors *, Equal Contribution #

🧙‍♂️ Deepfake Detection

IEEE-TIFS 2024

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)

IEEE-TCSVT 2024

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

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.

arXiv 2025 WaveGuard: Robust Deepfake Detection and Source Tracing via Dual-Tree Complex Wavelet and Graph Neural Networks

Z. He, Z. Guo*, L. Wang, G. Yang, Y. Diao, D. Ma*. arXiv:2505.08614, 2025. [Code]
INFFUS 2025 DiffMark: Diffusion-based Robust Watermark Against Deepfakes

C. Sun, H. Sun, Z. Guo*, Y. Diao, L. Wang, D. Ma*, and G. Yang. Information Fusion, 2025. （Top Journal）[Code]
ESWA 2023 Rethinking Gradient Operator for Exposing AI-enabled Face Forgeries

Z. Guo, G. Yang*, D. Zhang, and M. Xia. Expert Systems with Applications, 2023. (Top Journal) [Code]
CVIU 2023 A Data Augmentation Framework by Mining Structured Features for Fake Face Image Detection

Z. Guo, G. Yang*, D. Wang, and D. Zhang. Computer Vision and Image Understanding, 2023. (CCF-B) [Code]
CVIU 2021 Fake Face Detection via Adaptive Manipulation Traces Extraction Network

Z. Guo, G. Yang*, J. Chen, and X. Sun. Computer Vision and Image Understanding, 2021. (CCF-B) [Code] [Dataset]
MTA 2021 Blind Detection of Glow-based Facial Forgery

Z. Guo, L. Hu, M. Xia, and G. Yang*. Multimedia Tools and Applications, 2021. (CCF-C) [Dataset]

ICCV 2025

Similarity Memory Prior is All You Need for Medical Image Segmentation
H. Tang, Z. Guo*, L. Wang*, and C. Liu. IEEE/CVF International Conference on Computer Vision (ICCV), 2025. (CCF-A, Highlight Paper) [Code]

This paper breaks through the limitations of traditional methods and constructs a medical image segmentation network based on category modeling.

PR 2025 CLTR: Continual Learning Time-varying Regularization for Robust Classification of Noisy Label Images

Y. Li#, Z. Guo#, and L. Wang*. Pattern Recognition, 2025. (CCF-B, Top Journal) [Code]
ESWA 2025 CTIFTrack: Continuous Temporal Information Fusion for Object Track

Z. Zhang#, Z. Guo#, L. Wang*, and Y. Li. Expert Systems with Applications, 2025. （Top Journal） [Code]
IPM 2024 TBC-MI : Suppressing noise labels by maximizing cleaning samples for robust image classification

Y. Li, Z. Guo, L. Wang*, and L. Xu. Information Processing & Management, 2024. (CCF-B, Top Journal)
ACM-TOMM 2023 Enhancing Adversarial Embedding based Image Steganography via Clustering Modification Directions

D. Wang, G. Yang*, Z. Guo, and J. Chen. ACM Transactions on Multimedia Computing Communications and Applications, 2023. (CCF-B)
CVIU 2022 Robust Detection of Dehazed Images via Dual-stream CNNs with Adaptive Feature Fusion

J. Chen, G. Yang*, X. Ding, Z. Guo, and S. Wang. Computer Vision and Image Understanding, 2022. (CCF-B)