I am a PhD student at MMLab@HKUST, The Hong Kong University of Science and Technology, supervised by Anyi Rao and Hongbo Fu. I am the recipient of BSIG Outstanding Thesis Award. I am fortunate to have experiences at NLPR@CASIA, MicroSoft Research Lab Asia (MSRA), SenseTime Research, and MMLab@NTU.

🔈JOIN US!

Inspired by Richard Feynman’s “What I cannot create, I do not understand,” I aim to understand and enhance human intelligence through generative AI. My research at the intersection of computer vision, graphics, and deep learning drives multimodal AIGC to spark human creativity while prioritizing safety and ethics.

Do not hesitate to drop me an email for any possible collaboration if you are interested in these directions:
  • Foundation Model: Vision-Language Model, Understanding-Generation Model, and Agentic System
  • Creator-Machine Co-Learning: Personalization, Interactivity, and Assessment
  • Trustworthy AIGC: Robustness, Privacy, Watermark, and Detection

🔥 News

👨‍🎓 Education

💻 Work Experience

  • Research Associate, MMLab@NTU, S-Lab, Nanyang Technological University
    Supervisor: Xingang Pan

  • Research Intern, Content Generation Group, SenseTime Research
    Supervisors: Xiangyu Fan and Lei Yang

  • Research Intern, Machine Learning Group, MicroSoft Research Lab Asia (MSRA)
    Supervisors: Xu Tan and Jun Ling

  • Research Intern, Identity Verification Group, SenseTime Research
    Supervisors: Chenye Xu and Yichao Wu

📝 Selected Publications

ICCV 2025
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Textured 3D Regenerative Morphing with 3D Diffusion Prior

Songlin Yang, Yushi Lan, Honghua Chen, Xingang Pan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
Paper Project

IEEE TCSVT 2025
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Beyond Inserting: Learning Subject Embedding for Semantic-Fidelity Personalized Diffusion Generation

Yang Li*, Songlin Yang*, Wei Wang, Jing Dong
(* Equal Contribution)

IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025
Paper Project

ICML 2025
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Adaptive Median Smoothing: Adversarial Defense for Unlearned Text-to-Image Diffusion Models at Inference Time

Xiaoxuan Han, Songlin Yang, Wei Wang, Yang Li, Jing Dong

Forty-Second International Conference on Machine Learning, 2025
Paper

AAAI 2024
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Learning Dense Correspondence for NeRF-Based Face Reenactment

Songlin Yang, Wei Wang, Yushi Lan, Xiangyu Fan, Bo Peng, Lei Yang, Jing Dong

Proceedings of the AAAI Conference on Artificial Intelligence, 2024
Paper Project Code

ACM MM 2023
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Under Review
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Probing Unlearned Diffusion Models: A Transferable Adversarial Attack Perspective

Xiaoxuan Han, Songlin Yang, Wei Wang, Yang Li, Jing Dong

Paper Project Survey Code

ICASSP 2023
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Designing a 3D-Aware StyleNeRF Encoder for Face Editing

Songlin Yang, Wei Wang, Bo Peng, Jing Dong

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2023

Paper Code

ACM TOMM 2024
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Exploiting Backdoors of Face Synthesis Detection with Natural Triggers

Xiaoxuan Han, Songlin Yang, Wei Wang, Ziwen He, Jing Dong
ACM Transactions on Multimedia Computing Communications and Applications, 2024

Paper

ICME 2024
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Counterfactual Explanations for Face Forgery Detection via Adversarial Removal of Artifacts

Yang Li*, Songlin Yang*, Wei Wang, Ziwen He, Bo Peng, Jing Dong
(* Equal Contribution)

IEEE International Conference on Multimedia and Expo, 2024
Oral Presentation
Paper Code

CVPR-W 2023
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Exposing Fine-Grained Adversarial Vulnerability of Face Anti-Spoofing Models

Songlin Yang, Wei Wang, Chenye Xu, Ziwen He, Bo Peng, Jing Dong

IEEE Conference on Computer Vision and Pattern Recognition Workshop, 2023
Long Oral Presentation
Paper

🎖️ Awards

  • BSIG Outstanding Thesis Award. 2024
  • National Scholarship (Graduate). 2023
  • National Scholarship (Bachelor). 2018
  • Provincial Outstanding Graduate. 2021
  • Provincial Outstanding Bachelor Thesis Award. 2021
  • President Scholarship of Nanjing University of Aeronautics and Astronautics. 2020
  • Outstanding Graduate of Nanjing University of Aeronautics and Astronautics. 2021
  • Outstanding Student of University of Chinese Academy of Sciences. 2022, 2023, 2024
  • Scholarship of Aviation Industry Corporation of China. 2019, 2020
  • Outstanding Reviewer for CVPR Workshop, 2025

🕴️ Professional Services

  • Organizer for CVEU Workshop at CVPR 2025.
  • Publicity Chair for IEEE Beijing Biometrics Council Chapter (2021-2024).
  • IEEE Student Member (2021-Now).
  • ACM Member (2024-Now).
  • Conference Reviewer
    • AAAI (2023, 2024, 2025, 2026)
    • ICCV (2025)
    • SIGGRAPH (2025)
    • CVPR (2022, 2023, 2024, 2025)
    • MM (2024)
    • ECCV (2022, 2024)
    • 3DV (2025)
  • Journal Reviewer
    • IEEE Transactions on Multimedia (TMM)
    • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
    • ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)
    • Pattern Recognition (PR)