I am now a final year Ph.D. student at The University of Adelaide. I received my M.Eng degree from East China Normal University in Dec, 2019. My current interests lie in domain generalization, deepfake detection, and low-level vision tasks. If you are interested in my work, please do not hesitate to contact.

• Mar, 2024, One paper accepted by IJCV
• July, 2023, One paper accepted by IJCV
• July, 2023, One paper accepted by ICCV 2023
• Feb, 2023, One paper accepted by CVPR 2023
• Sept, 2022, One paper accepted by NeurIPS 2022
• Mar, 2022, One paper accepted by CVPR 2022 (Oral presentation)

Google Scholar

• A Causal Inspired Early-Branching Structure for Domain Generalization,
  Liang Chen, Yong Zhang, Yibing Song, Zhen Zhang, Lingqiao Liu
  International Journal of Computer Vision (IJCV).
  [paper] [code]

• Domain Generalization via Rationale Invariance,
  Liang Chen, Yong Zhang, Yibing Song, Anton van den Hengel, Lingqiao Liu
  in the Proceedings of IEEE International Conference on Computer Vision (ICCV), 2023.
  [paper] [code]

• Improved Test-Time Adaptation for Domain Generalization,
  Liang Chen, Yong Zhang, Yibing Song, Ying Shan, and Lingqiao Liu
  in the Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
  [paper] [code]

• OST: Improving Generalization of DeepFake Detection via One-Shot Test-Time Training,
  Liang Chen, Yong Zhang, Yibing Song, Jue Wang, Lingqiao Liu
  Conference on Neural Information Processing Systems (NeurIPS), 2022.
  [paper] [code]

• Self-supervised Learning of Adversarial Examples: Towards Good Generalizations for Deepfake Detection,
  Liang Chen, Yong Zhang, Yibing Song, Lingqiao Liu, Jue Wang
  in the Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (Oral)
  [paper] [code]

• Deep Richardson-lucy deconvolution for low-light image deblurring,
  Liang Chen, Jiawei Zhang, Zhenhua Li, Yunxuan Wei, Faming Fang, Jimmy Ren, Jinshan Pan
  International Journal of Computer Vision (IJCV).
  [paper]

• Learning a Non-blind Deblurring Network for Night Blurry Images,
  Liang Chen, Jiawei Zhang, Jinshan Pan, Songnan Lin, Faming Fang, Jimmy Ren
  in the Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
  [paper] [code] [training & test data]

• Blind Deblurring for Saturated Images,
  Liang Chen, Jiawei Zhang, Songnan Lin, Faming Fang, Jimmy Ren,
  in the Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
  [paper] [code & data]

• OID: Outlier Identifying and Discarding in Blind Image Deblurring,
  Liang Chen, Faming Fang, Jiawei Zhang, Jun Liu, Guixu Zhang,
  in the Proceedings of European Conference on Computer Vision (ECCV), 2020.
  [paper] [code & data]

• Enhanced Sparse Model for Blind Deblurring,
  Liang Chen, Faming Fang, Shen Lei, Fang Li, Guixu Zhang,
  in the Proceedings of European Conference on Computer Vision (ECCV), 2020.
  [paper] [code]

• Blind Image Deblurring with Local Maximum Gradient Prior,
  Liang Chen, Faming Fang, Tingting Wang, Guixu Zhang,
  in the Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
  [paper] [code]

• Research Intern
  Dec, 2020 - May, 2023, Tencent AI Lab, Shenzhen, China
  Working with Dr. Yong Zhang and Dr. Yibing Song

• Research Intern
  Oct, 2019 - Sept, 2020, Sensetime, Shenzhen, China
  Working with Dr. Jiawei Zhang and Dr. Jimmy S. Ren

• Research Assistant
  Jul, 2019 - Aug, 2019, The Chinese University of Hongkong, Hongkong, China
  Working with Prof. Tieyong Zeng

• Conference Reviewer
  CVPR 2022-2024, ICCV 2023, ECCV 2022-2024, ICML 2022-2024, ICLR 2024，NeurIPS 2022-2023

• Journal Reviewer
  IJCV, TIP, TMM, CVIU

• Outstanding Graduate of Shanghai City in 2020
• Outstanding Master’s Thesis of East China Normal University in 2020
• National Scholarship for Post-graduate Students in 2019