I am a final-year Master’s student at New Laboratory of Pattern Recognition (NLPR) in Institute of Automation, Chinese Academy of Sciences (CASIA). Before this, I obtained my Bachelor Degree of Automation Engineering in Nanjing University of Aeronautics and Astronautics with Honors Distinction. I am fortunate to have internships at serveral leading research institutions, including MicroSoft Research Asia and SenseTime Research. I have extensive experience in studying the NeRF-based motion transfer and diffusion-based human-centric generation. Also, I am conducting cutting-edge research in 3D Human-Object Interaction Tracking for my possible PhD program.

My previous research mainly focused on three aspects:
  • Face Neural Rendering: Talking-Head Video Generation, Face Reenactment, and Facial Attribute Editing
  • Text-to-Image Face Analysis: Personalization and Identity Erasure
  • Robust Face Recognition System: De-Identification, Anti-Spoofing, and Deepfake Detection

🔈JOIN US!

I embrace Richard Feynman’s dictum, “What I can not create, I do not understand,” as it aligns with my research goal, which is generating human-centric visual content to understand ourselves. I will continue to conduct research at the intersection of computer vision and graphics. Specifically, I plan to employ generative models to enhance human-computer interaction, based on technical expertise accumulated through my collaboration with 3D human-related scientists and engineers. Let’s embark on our journey towards a technologically-advanced era of immersive human-object/scene interaction!

Do not hesitate to drop me an email for any possible collaboration if you are interested in these directions:
  • Generative Models
  • 3D Human Motion and Human-Object-Scene Interaction
  • Face Synthesis and Analysis
  • Neural Rendering
  • Physics-Aware Content Generation
  • Robotics and Embodied Intelligence

🔥 News

📖 Education

  • M.S. in Pattern Recognition and Intelligent Systems, NLPR Department, CASIA Institute
    Sep. 2021 - Jun. 2024
    Supervisor: Prof. Wei Wang (Co-Supervised by Prof. Jing Dong and Prof. Bo Peng)
    Thesis: Dynamic Facial Editing based on Neural Radiance Fields
    GPA: 3.82/4.0 (National Scholarship)

  • B.E. in Automation Engineering, Nanjing University of Aeronautics and Astronautics
    Sep. 2017 - Jun. 2021
    Thesis: Face De-Identification based on Generative Adversarial Networks (Province Award)
    GPA: 4.4/5.0 (Rank: 1/204, Honors Distinction)

💻 Work Experience

  • Research Intern, Content Generation Group, SenseTime Research
    Sep. 2022 - Aug. 2023
    Supervised by Xiangyu Fan and Lei Yang.

  • Research Intern, Machine Learning Group, MicroSoft Research Asia
    Mar. 2022 - Aug. 2022
    Supervised by Xu Tan and Jun Ling.

  • Research Intern, Identity Verification Group, SenseTime Research
    Jun. 2021 - Sep. 2021
    Supervised by Chenye Xu and Yichao Wu.

📝 Publications

AAAI 2024
sym

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

ACM MM 2023
sym
Under Review 2024
sym

Beyond Inserting: Learning Identity Embedding for Semantic-Fidelity Personalized Diffusion Generation

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

Paper Project

Under Review 2024
sym

Probing Unlearned Diffusion Models: A Transferable Adversarial Attack Perspective

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

Paper Project

Under Review 2024
sym

Is It Possible to Backdoor Face Forgery Detection with Natural Triggers?

Xiaoxuan Han, Songlin Yang, Wei Wang, Ziwen He, Jing Dong

Paper

ICME 2024
sym

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 (ICME), 2024
Oral Presentation
Paper Project

ICASSP 2023
sym

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

CVPR-W 2023
sym

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 (CVPR) Workshop, 2023
Long Oral Presentation
Paper

CCBR 2021
sym

A Systematical Solution for Face De-Identification

Songlin Yang, Wei Wang, Yuehua Cheng, Jing Dong

Chinese Conference on Biometric Recognition, 2021

Paper

🎖️ Awards

  • 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
  • First Class Scholarship for Academic Excellence. 2017, 2018, 2019, 2020

🕴️ Professional Services

  • Publicity Chair for IEEE Beijing Biometrics Council Chapter (2021-Now).
  • IEEE Student Member (2021-Now).
  • Conference Reviewer
    • AAAI (2023, 2024)
    • CVPR (2022, 2023, 2024)
    • MM (2024)
    • ECCV (2022, 2024)
    • ICME (2024)
    • IJCB (2022)
    • ICASSP (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)