Tianyi Wang

Postdoctoral Researcher, Nanyang Technological University

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I am currently a postdoctoral researcher at College of Computing and Data Science, Nanyang Technological University (NTU), working with Prof. Chunyan Miao. My research interests include Deepfake Detection, Misinformation Detection, Multimedia Forensics, and Generative AI.

Before joining NTU, I received my Ph.D. dgree in Computer Science at the University of Hong Kong (HKU), supervised by Dr. Kam Pui Chow. I received my double-major B.S. degree in Computer Science and Applied & Computational Mathematical Sciences at the University of Washington (UW) in Seattle.

Experiences

Nanyang Technological University (2023 – Present)

  • Postdoctoral Researcher

University of Hong Kong (2018 – 2023)

  • Ph.D. Student, Computer Science

University of Washington (2014 – 2018)

  • Undergraduate Student, Computer Science

  • Undergraduate Student, Applied & Computational Mathematical Sciences

Professional Services

I am a member of IEEE and ACM.

I am a member of China Society of Image and Graphics, Technical Committee on Digital Media Forensics and Security. (中国图象图形学会数字媒体取证与安全专业委员会委员)

I served as a conference PC member for AAAI 2023–2025, IJCAI 2025 Survey Track, and ICANN 2023–2024.

I served as a conference reviewer for CVPR 2022–2025, ICCV 2023, ECCV 2022–2024, IJCAI 2025, ICME 2024–2025, IH&MMSec 2024, WACV 2024–2025, and ACCV 2024.

I served as a journal reviewer for TKDE, TOMM, TBD, Neural Networks, CVIU, and SPL.

News

Jan 02, 2025 I am invited to be a PC member for IJCAI 2025 Survey Track.
Oct 02, 2024 One paper accepted to ACM Computing Surveys (IF=23.8).
Sep 11, 2024 One paper accepted to TIFS.
Jul 16, 2024 Two papers accepted to ACM MM 2024.
Jan 10, 2024 One paper accepted to TMM.
Sep 19, 2023 One paper accepted to TOMM.
Jun 29, 2023 One paper accepted to ICANN 2023.
May 12, 2023 One paper accepted to TCSVT.
Mar 15, 2023 One paper accepted to TOMM.

Selected Publications

* corresponding author.

  1. CSUR
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    Deepfake Detection: A Comprehensive Survey from the Reliability Perspective
    Tianyi WangXin LiaoKam Pui ChowXiaodong Lin, and Yinglong Wang
    ACM Computing Surveys, 2024
  2. TIFS
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    GenFace: A Large-Scale Fine-Grained Face Forgery Benchmark and Cross Appearance-Edge Learning
    Yaning Zhang, Zitong YuTianyi Wang, Xiaobin Huang, Linlin ShenZan Gao, and Jianfeng Ren
    IEEE Transactions on Information Forensics and Security, 2024
  3. ACM MM
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    LampMark: Proactive Deepfake Detection via Training-Free Landmark Perceptual Watermarks
    Tianyi Wang, Mengxiao Huang, Harry Cheng, Xiao Zhang , and Zhiqi Shen
    The 32nd ACM International Conference on Multimedia, 2024
  4. ACM MM
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    Diffusion Facial Forgery Detection
    The 32nd ACM International Conference on Multimedia, 2024
  5. TMM
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    An Efficient Attribute-Preserving Framework for Face Swapping
    Tianyi Wang, Zian Li, Ruixia Liu, Yinglong Wang, and Liqiang Nie
    IEEE Transactions on Multimedia, 2024
  6. arXiv
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    Robust Identity Perceptual Watermark Against Deepfake Face Swapping
    Tianyi Wang, Mengxiao Huang, Harry Cheng, Bin Ma, and Yinglong Wang
    2023
  7. TOMM
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    Voice-Face Homogeneity Tells Deepfake
    Harry ChengYangyang GuoTianyi Wang, Qi Li, Xiaojun Chang, and Liqiang Nie
    ACM Transactions on Multimedia Computing, Communications, and Applications, 2023
  8. TCSVT
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    FAMM: Facial Muscle Motions for Detecting Compressed Deepfake Videos Over Social Networks
    Xin Liao, Yumei Wang, Tianyi Wang*, Juan Hu, and Xiaoshuai Wu
    IEEE Transactions on Circuits and Systems for Video Technology, 2023
  9. TOMM
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    Deep Convolutional Pooling Transformer for Deepfake Detection
    Tianyi WangHarry ChengKam Pui Chow, and Liqiang Nie
    ACM Transactions on Multimedia Computing, Communications, and Applications, 2023
  10. AAAI Oral
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    Noise Based Deepfake Detection via Multi-Head Relative-Interaction
    Tianyi Wang, and Kam Pui Chow
    Proceedings of the AAAI Conference on Artificial Intelligence, 2023