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Yan Ju (巨妍)
Ph.D. Candidate
Department of Computer Science and Engineering
State University of New York at Buffalo
Email: yanju AT buffalo DOT edu
[Google Scholar][GitHub][Linkedin]
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Biography
I am a Ph.D. Candidate in the Department of Computer Science and Engineering at State University of New York at Buffalo, advised by Prof. Siwei Lyu. Before that, I got B.Eng. and M.Eng. from Xidian University in 2016 and 2019.
My research interest lies in AI-Generated Content Detection and Protection, focusing on detecting AI-generated image/video, protecting privacy and fairness in generative AI. If you're interested in collaborating, please don't hesitate to reach out!
News
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02/26/24: Our paper "Preserving Fairness Generalization in Deepfake Detection" was accepted in the CVPR 2024.
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01/16/24: Our paper "Exposing Text-Image Inconsistency Using Diffusion Models" was accepted in the ICLR 2024.
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11/29/23: Recipient of the University at Buffalo, 2022-23 CSE PhD Research Award!
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11/19/23: Being awarded a Travel Grant to attend the 2024 IEEE/CVF WACV!
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10/24/23: Our paper "Improving Fairness in Deepfake Detection" was accepted in the WACV 2024.
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08/31/23: Our paper "GLFF: Global and Local Feature Fusion for AI-synthesized Image Detection" was accepted in the IEEE Transactions on Multimedia.
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04/03/23: Our paper "AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics" was accepted in the CVPR Workshop 2023!
Publications
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Improving Fairness in Deepfake Detection.
[Paper]
[Code]
Yan Ju*, Shu Hu*, Shan Jia, George H. Chen, Siwei Lyu (*:Equal contributions)
IEEE/CVF Winter Conference on Applications of Computer Vision, WACV
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GLFF: Global and Local Feature Fusion for AI-synthesized Image Detection.
[Paper]
[Code]
Yan Ju, Shan Jia, Jialing Cai, Haiying Guan, Siwei Lyu
IEEE Transactions on Multimedia, TMM
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Fusing Global and Local Features for Generalized AI-Synthesized Image Detection
[Paper]
[Code]
Yan Ju, Shan Jia, Lipeng Ke, Hongfei Xue, Koki Nagano, Siwei Lyu
The 29th IEEE International Conference on Image Processing, ICIP 2022
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Exposing Text-Image Inconsistency Using Diffusion Models.
Mingzhen Huang, Shan Jia, Zhou Zhou, Yan Ju, Jialing Cai, Siwei Lyu
ICLR 2024
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AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics.
[Paper]
Shan Jia, Mingzhen Huang, Zhou Zhou, Yan Ju, Jialing Cai, Siwei Lyu
CVPR Workshop 2023
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DeepFake-o-meter: An Open Platform for DeepFake Detection
[Paper]
[Demo]
Yuezun Li, Cong Zhang, Pu Sun, Lipeng Ke, Yan Ju, Honggang Qi, and Siwei Lyu
IEEE Security and Privacy Workshps, SPW 2021
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mmMesh: Towards 3D Real-Time Dynamic Human Mesh Construction Using Millimeter-wave
[Paper]
[Demo]
[Presentation]
[Project Page]
Hongfei Xue, Yan Ju, Chenglin Miao, Yijiang Wang, Shiyang Wang, Aidong Zhang, Lu Su
Proceedings of the 19th ACM International Conference on Mobile Systems, Applications, and Services, MobiSys 2021
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Modified Diversity of Class Probability Estimation Co-training for Hyperspectral Image Classification
[Paper]
[Code]
Yan Ju, Lingling Li, Licheng Jiao, Zhongle Ren, Biao Hou, Shuyuan Yang
Preprints
Professional Services
I was served as reviewer for the following conferences and journals:
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Conferences: ECCV 2024; WACV 2024; CVPR Workshop 2023.
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Journals: IEEE Transactions on Information Forensics and Security (TIFS); IEEE Transactions on Multimedia (TMM); IEEE Transactions on Biometrics, Behavior, and Identity Science; Multimedia Systems; Journal of Selected Topics in Signal Processing.