Jian Zhang

Orcid: 0009-0007-9632-3785

Affiliations:
  • School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou, China
  • Sun Yat-sen University, School of Computer Science and Engineering, Guangzhou, China


According to our database1, Jian Zhang authored at least 12 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2025
Domain-invariant and Patch-discriminative Feature Learning for General Deepfake Detection.
ACM Trans. Multim. Comput. Commun. Appl., February, 2025

DIP: Diffusion Learning of Inconsistency Pattern for General DeepFake Detection.
IEEE Trans. Multim., 2025

DSM: Domain Shift Modeling for general deepfake detection.
Signal Process., 2025

Reinforced Multi-teacher Knowledge Distillation for Efficient General Image Forgery Detection and Localization.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
EFLNet: Enhancing Feature Learning Network for Infrared Small Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

FRADE: Forgery-aware Audio-distilled Multimodal Learning for Deepfake Detection.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Diff-IFL: Towards General Image Forgery Localization using Diffusion Probabilistic Model.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023
EFLNet: Enhancing Feature Learning for Infrared Small Target Detection.
CoRR, 2023

Domain-Invariant Feature Learning for General Face Forgery Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022
Corrigendum to 'Evading generated-image detectors: A deep dithering approach' [Signal Processing 197(2022) 108558].
Signal Process., 2022

Evading generated-image detectors: A deep dithering approach.
Signal Process., 2022

2021
DeepFake Videos Detection Using Self-Supervised Decoupling Network.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021


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