Yuezun Li's Homepage

Yuezun Li

I am an Associate Professor at Ocean University of China. My research focuses on multimedia forensics and computer vision. I have published numerous top-tier papers with a total of , including several works with more than citations each (CVPR20, CVPRW19, ICASSP19, WIFS18). The WIFS18 paper was also featured on CCTV13’s "World Weekly" special on deepfakes [7:43]. I have been recognized on Stanford’s 2023/2024/2025 list of the top 2% of scientists worldwide and am a recipient of the 2024 ACM Qingdao Rising Star Award. [中 CN]

I was a Senior Research Scientist at the Department of Computer Science and Engineering of University at Buffalo, SUNY, working with Siwei Lyu (SUNY Distinguished Professor). I was a summer intern at GE glocal research center during 2016 - 2018. I received Ph.D. degree in computer science at University at Albany, SUNY in 2020, advised by Siwei Lyu (IEEE/IAPR/AAIA Fellow). I received M.S. degree in 2015 and B.S. degree in 2012 at Shandong University.

📢 Opening! Currently I am leading the Visual Analysis & Security (VAS) Lab. Our lab has multiple openings. Please drop me an email if you are interested in internship / M.S. program. I also advise the POVA Group , which focuses on underwater computer vision reserach. Drop me an email if you are interested.

🎉 News

[2025.07]: We have released Celeb-DF++ benchmark, an extension of earlier Celeb-DF dataset. 📌 📌
[2026.02]: One paper on optical flow estimation is accepted by CVPR 2026. New!
[2025.11]: Three master students are awarded an enterprise scholarship (¥2w). Congratulations! New!
[2025.10]: One paper on domain adaptation is accepted by TIP 2025. New!
[2025.10]: I gave a talk on advances on visual forensics PRCV 2025. New!
[2025.09]: Elected among World's Top 2% Scientists 2025 by Stanford University. New!
[2025.07]: One paper on proactive deepfake detection is accepted by TDSC 2025. New!
[2025.05]: One paper on underwater stereo matching is accepted by TCSVT 2025.
[2025.03]: One paper on image manipulation detection is accepted by ICME 2025.
[2025.02]: Two papers on deepfake detection are accepted by CVPR 2025.
[2025.02]: The work of TSOM is elected as WACV 2025 Oral.
[2025.01]: I gave a talk on face forensics in the wild at CSIG Young Scholars forum.
[2024.11]: One paper on phytoplankton tracking is accepted by TCSVT.
[2024.11]: Awarded BMVC outstanding reviewer.
[2024.10]: One paper on sequential deepfake detection is accepted by WACV.
[2024.09]: One paper on deepfake detection is accepted by NeurIPS.
[2024.09]: Elected among World's Top 2% Scientists 2024 by Stanford University.
[2024.09]: One paper on quality-agnostic deepfake detection is accepted by ACCV.
[2024.08]: One paper on 3D adversarial meshes are accepted by PG.
[2024.07]: Two papers on image manipulation detection are accepted by BMVC.
[2024.07]: One paper on transferable deepfake detection is accepted by IEEE TIFS.
[2024.07]: One paper on generalizable deepfake detection is accepted by ECCV.
[2024.05]: One paper on multi-face deepfake detection is accepted by IEEE TCSVT.
[2024.04]: One paper on deepfake detection is accepted by IEEE TIFS.
[2024.04]: One paper on deepfake defense is accepted by IEEE TETC.
[2024.04]: One paper on image-text retrieval is accepted by ICMR.
[2024.02]: One paper on image-text retrieval is accepted by KBS.
[2024.01]: One paper on deepfake defense is accepted by CVIU.
[2023.12]: One paper on adversarial robustness is accepted by ICASSP.
[2023.11]: I gave a talk at a forum in CSIG ChinaFMS conference 2023.
[2023.10]: One paper on adversarial robustness is accepted by CVIU.
[2023.07]: I gave a talk at a forum in CCF CFTC 2023 on Recent Advances on CV Security.
[2023.06]: One ICME paper entitled Forensics Forest is selected as Oral.
[2023.05]: A dataset on phytoplankton observation is accepted by JMSE.
[2023.05]: One paper on Semantic Segmentation is accepted by IEEE TNNLS.
[2023.04]: One paper on Universal Domain Adaptation is accepted by IEEE TCSVT.
[2023.03]: Two papers on DeepFake defense are accepted by ICME.
[2023.02]: One paper on Transferable Adversarial Attack is accepted by COSE.
[2022.12]: I gave a talk at CCBR 2022 on Recent Advances on AI Security.
[2022.11]: One paper on DeepFake detection is accepted by Pattern Recognition.
[2022.08]: I gave a tutorial at MIPR 2022 on DeepFake Creation, Detection and Obstruction.
[2022.07]: I gave a tutorial at ICME 2022 on DeepFake creation and detection.
[2022.07]: One paper on face synthesis is accepted by PRL.
[2022.06]: One paper on DeepFake defense is accepted by ICIP.
[2022.06]: One paper on DeepFake detection is accepted by Pattern Recognition.
[2022.05]: One paper on DeepFake detection is accepted by MIPR.
[2022.02]: One book chapter is publised on Handbook of Digital Face Manipulation and Detection, Springer.
[2021.12]: One book chapter is publised on Deep Learning-Based Face Analytics, 2021. Springer.
[2021.10]: One paper on adversarial attack is accepted by CVIU 2021.
[2021.08]: One paper on scene parsing is accepted by TNNLS 2021.
[2021.08]: I gave a tutorial at IJCB 2021 on Trustworthy Biometrics.
[2021.07]: One paper on backdoor attack is accepted by ICCV 2021.
[2021.06]: With my PhD advisor Prof. Siwei Lyu, I gave a tutorial at ICASSP 2021 on DeepFake Generation and Detection [Part 1] [Part 2] [Part 3].
[2021.06]: We are releasing DeepFake Game Competition (DFGC) dataset [Here]
[2021.05]: We are holding DeepFake Game Competition (DFGC) [Here]
[2021.03]: One paper on DeepFake-o-meter is accepted by SADFE in conjunction with the IEEE S&P 2021
[2021.02]: One paper is accepted by ICASSP 2021.
[2020.02]: Our paper on Celeb-DF is accepted by CVPR 2020.

📝 Selected publications (+ Advised student, # Corresponding author, * Equal contribution)

Optical Flow Matching: Reframing Optical Flow as Continuous Transport Dynamics
Ao Luo, Xin Li, Fan Yang, Yuezun Li, Zhaoquan Yuan, Shan Zhao, Bing Su, Xiao Wu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
Code CCF A

HG-SFDA: HyperGraph Learning Meets Source-free Unsupervised Domain Adaptation
Jinkun Jiang⁺, Qingxuan Lv, Yuezun Li^#, Yong Du, Junyu Dong^#, Sheng Chen, Hui Yu
IEEE Transactions on Image Processing (TIP), 2025.
Code CCF A

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection
Delong Zhu⁺, Yuezun Li^#, Baoyuan Wu, Jiaran Zhou, Zhibo Wang, Siwei Lyu
IEEE Transactions On Dependable And Secure Computing (TDSC), 2025. (Extended from ICME 2023)
Code CCF A

Forensics Adapter: Adapting CLIP for Generalizable Face Forgery Detection
Xinjie Cui⁺, Yuezun Li^#, Ao Luo, Jiaran Zhou, Junyu Dong
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
Code CCF A

Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted
Shuaiwei Yuan⁺, Junyu Dong, Yuezun Li^#
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

CCF A

UWStereo: A Large Synthetic Dataset for Underwater Stereo Matching
Qingxuan Lv⁺, Junyu Dong^#, Yuezun Li^#, Sheng Chen, Hui Yu, Shu Zhang, Wenhan Wang
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025.
Code CCF B

Texture, Shape and Order Matter: A New Transformer Design for Sequential DeepFake Detection
Yunfei Li⁺, Yuezun Li^#, Xin Wang, Baoyuan Wu, Jiaran Zhou, Junyu Dong
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025. (Oral)
Code

FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge
Hanzhe Li⁺, Jiaran Zhou, Yuezun Li^#, Baoyuan Wu, Bin Li, Junyu Dong
Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.
Code CCF A

DomainForensics: Exposing Face Forgery across Domains via Bi-directional Adaptation
Qingxuan Lv⁺, Yuezun Li^#, Junyu Dong^#, Sheng Chen, Hui Yu, Huiyu Zhou, Shu Zhang
IEEE Transactions on Information Forensics and Security (TIFS), 2024.
Code CCF A

ForensicsForest Family: A Series of Multi-scale Hierarchical Cascade Forests for Detecting GAN-generated Faces
Jiucui Lu⁺, Jiaran Zhou^#, Junyu Dong, Bin Li, Siwei Lyu, Yuezun Li^#
IEEE Transactions on Information Forensics and Security (TIFS), 2024. (Extended from ICME 2023)
Code CCF A

COMICS: End-to-end Bi-grained Contrastive Learning for Multi-face Forgery Detection
Cong Zhang⁺, Honggang Qi, Shuhui Wang, Yuezun Li^#, Siwei Lyu
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024.
Code CCF B

PhyTracker: An Online Tracker for Phytoplankton
Yang Yu⁺, Qingxuan Lv, Yuezun Li^#, Zhiqiang Wei, Junyu Dong^#
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024.
Code CCF B

LaFea: Learning Latent Representation beyond Feature for Universal Domain Adaptation
Qingxuan Lv⁺, Yuezun Li^#, Junyu Dong^#, Ziqian Guo.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023.
CCF B

Watching the BiG Artifacts: Exposing DeepFake Videos via Bi-Granularity Artifacts
Han Chen^*, Yuezun Li^*, Dongdong Lin, Bin Li, Junqiang Wu.
Pattern Recognition (PR), 2023.
CCF B

Invisible Backdoor Attack with Sample-Specific Triggers
Yuezun Li, Yiming Li, Baoyuan Wu, Longkang Li, Ran He, Siwei Lyu.
IEEE International Conference on Computer Vision (ICCV), 2021.
Code CCF A

Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
Yuezun Li, Xin Yang, Pu Sun, Honggang Qi, Siwei Lyu.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
Dataset CCF A

Exposing DeepFake Videos By Detecting Face Warping Artifacts
Yuezun Li, Siwei Lyu.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Media Forensics, 2019.
Code

Exposing Deep Fakes Using Inconsistent Head Poses
Xin Yang^*, Yuezun Li^*, Siwei Lyu.
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Code CCF B

Exposing GAN-synthesized Faces Using Landmark Locations
Xin Yang, Yuezun Li, Honggang Qi, Siwei Lyu.
ACM Workshop on Information Hiding and Multimedia Security (IHMMSec), 2019
CCF C

Exploring the Vulnerability of Single Shot Module in Object Detectors via Imperceptible Background Patches
Yuezun Li, Xiao Bian, Ming-Ching Chang, Siwei Lyu.
British Machine Vision Conference (BMVC), 2019.
CCF C

In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking
Yuezun Li, Ming-Ching Chang, Siwei Lyu.
IEEE International Workshop on Information Forensics and Security (WIFS), 2018
Code Dataset

Robust Adversarial Perturbation on Deep Proposal-based Models
Yuezun Li, Daniel Tian, Ming-Ching Chang, Xiao Bian, Siwei Lyu.
British Machine Vision Conference (BMVC), 2018
Code CCF C

🔔 Preprints

Celeb-DF++: A Large-scale Challenging Video DeepFake Benchmark for Generalizable Forensics
Yuezun Li^#, Delong Zhu⁺, Xinjie Cui⁺, Siwei Lyu
arXiv:2507.18015, 2025. (An extension of Celeb-DF dataset)
Code

Texture, Shape, Order, and Relation Matter: A New Transformer Design for Sequential DeepFake Detection
Yunfei Li⁺, Yuezun Li^#, Baoyuan Wu, Junyu Dong, Guopu Zhu, Siwei Lyu
arXiv:2404.13873, 2025. (Extended from WACV 2025 (oral))
Code

Forensics Adapter: Unleashing CLIP for Generalizable Face Forgery Detection
Xinjie Cui⁺, Yuezun Li^#, Delong Zhu, Jiaran Zhou, Junyu Dong, Siwei Lyu
arXiv:2411.19715, 2025. (Extended from CVPR 2025)
Code

Active Fake: DeepFake Camouflage
Pu Sun⁺, Honggang Qi^#, Yuezun Li^#
arXiv:2409.03200, 2024.

Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations
Yuezun Li, Xin Yang, Baoyuan Wu, Siwei Lyu
arXiv:1906.09288, 2019.
(preliminary version of TDSC 2025)