I am an incoming PhD student. Currently, I work as a research associate at MMLab@NTU, S-Lab, Nanyang Technological University in Singapore, under the supervision of Xingang Pan. I achieved my M.S. from Institute of Automation, Chinese Academy of Sciences and B.E. from Nanjing University of Aeronautics and Astronautics. I am the recipient of BSIG Outstanding Thesis Award (Graduate), Jiangsu Outstanding Thesis Award (Bachelor), and China National Scholarship (Bachelor & Graduate). I am fortunate to have working experiences at several leading research institutions, including MicroSoft Research Asia and SenseTime Research. My research focuses on controllable multimodal generation and editing, with a particular emphasis on 3D-aware content manipulation.

🔈JOIN US!

I embrace Richard Feynman’s dictum, ‘What I can not create, I do not understand.’ This aligns with my technical roadmap of using generative AI to perceive, understand, and manipulate our world. I will continue conducting research at the intersection of computer vision and graphics, especially in video and 3D generation, to create the 3D world from 2D pixels and realize creative human-centered AIGC.

Do not hesitate to drop me an email for any possible collaboration if you are interested in these directions:
  • Generative Models: 2D (Images/Videos), 3D, and 4D Content
  • Creator-Machine Co-Learning: Personalization, Interactivity, and Feedback Adaptation
  • AIGC Safety: Robustness, Privacy, and Traceability

🔥 News

🧑‍🎓 Education

💻 Work Experience

  • Research Associate, MMLab@NTU, S-Lab, Nanyang Technological University
    Supervised by Xingang Pan.

  • Research Intern, Content Generation Group, SenseTime Research
    Supervised by Xiangyu Fan and Lei Yang.

  • Research Intern, Machine Learning Group, MicroSoft Research Asia
    Supervised by Xu Tan and Jun Ling.

  • Research Intern, Identity Verification Group, SenseTime Research
    Supervised by 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)
    • ICCV (2025)
    • SIGGRAPH (2025)
    • CVPR (2022, 2023, 2024, 2025)
    • MM (2024)
    • ECCV (2022, 2024)
  • 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)