Yufei Wang
Ph.D. Student
Advised by: Prof. Bihan Wen, Prof. Lap-Pui Chau, and Prof. Alex Kot
Research interest: computer vision, generative models, image restoration, compression
Email: yufei001@e.ntu.edu.sg
Google Scholar
Education
- 2016–2020, University of Electronic Science and Technology of China (UESTC), BEng
- Computer science and technology
- 2020–now, Nanyang Technological University (NTU), Ph.D Student
- Rapid-Rich Object Search Lab (ROSE)
- The expected graduation time is the fall of 2024, please feel free to reach me if you have any job opportunities.
Selected Awards
- The National Scholarship Top 2%
- Tang Lixin Scholarship Top 0.2%
- SDSC Dissertation Research Fellowship 2022 S$ 10,000
Preprints and Publications
- Yufei Wang, et. al., “SinSR: Diffusion-Based Image Super-Resolution in a Single Step”, CVPR 2024 Preprint, and Code
- C Wang, L Guo, Y Wang, H Cheng, Y Yu, B Wen, “Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI“, CVPR 2024
- Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex Kot, Bihan Wen, “ExposureDiffusion: Learning to Expose for Low-light Image Enhancement”, ICCV 2023 Preprint, and Code
- L Guo, C Wang, W Yang, Y Wang, B Wen, “Boundary-Aware Divide and Conquer: A Diffusion-based Solution for Unsupervised Shadow Removal”, ICCV 2023
- Tian C X, Li H, Wang Y, Wang S, “Privacy-Preserving Constrained Domain Generalization via Gradient Alignment”, IEEE Transactions on Knowledge and Data Engineering, TKDE 2023
- Yufei Wang, et. al. , “Beyond Learned Metadata-based Raw Image Reconstruction”, Arxiv Paper, Code
- Shulin Tian*, Yufei Wang*,et. al. “Enhancing low-light image using infrared encoded images”, ICIP 2023 Paper
- Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex Kot, Bihan Wen, “Raw Image Reconstruction with Learned Compact Metadata”, CVPR 2023 Paper, Code
- Yi Yu, Yufei Wang, Wenhan Yang, Shijian Lu, Yap-peng Tan, Alex Kot “Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger”, CVPR 2023 Paper
- L Guo, C Wang, W Yang, S Huang, Y Wang, H Pfister, B Wen. “ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal”, CVPR 2023 Paper
- Yufei Wang, Renjie Wan, Wenhan Yang, Bihan Wen, Lap-pui Chau, Alex C Kot, “Removing Image Artifacts From Scratched Lens Protectors”, ISCAS 2023 Paper, Dataset \& Code
- Chenyu Yi, Siyuan Yang, Yufei Wang, Haoliang Li, Yap-peng Tan, Alex Kot”Temporal Coherent Test Time Optimization for Robust Video Classification”, ICLR 2023 Paper
- Hao Cheng, Yufei Wang, Haoliang Li, Alex C. Kot, and Bihan Wen. “Disentangled Feature Representation for Few-shot Image Classification”, Transactions on Neural Networks and Learning Systems TNNLS 2023 Paper
- Yufei Wang, Haoliang Li, Bihan Wen, Lap-pui Chau, and Alex C. Kot. “Variational Disentanglement for Domain Generalization”, Transactions on Machine Learning Research (TMLR 2022). Paper, Openreview
- Yufei Wang, Renjie Wan, Wenhan Yang, Haoliang Li, Lap-pui Chau, and Alex C. Kot. “ Low-Light Image Enhancement with Normalizing Flow” AAAI Conference on Artificial Intelligence (2022) (AAAI 2022) [Oral]. Paper, Project Page, and Code
- Yufei Wang, Haoliang Li, Lap-pui Chau, and Alex C. Kot. “Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation” ACM MULTIMEDIA (2021)(ACM MM 2021) Paper
- Yufei Wang, Haoliang Li, and Alex C. Kot. “Heterogeneous domain generalization via domain mixup.” ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. Paper and Code
- Haoliang Li, Yufei Wang, et al. “Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization.” NeurIPS (2020). Paper and Code
- Haoliang Li, Yufei Wang, et al. “Light Can Hack Your Face! Black-box Backdoor Attack on Face Recognition Systems.” arXiv preprint arXiv:2009.06996 (2020). Paper
- Tian C X, Li H, Wang Y, et al. Privacy-Preserving Constrained Domain Generalization for Medical Image Classification[J]. arXiv preprint arXiv:2105.08511, 2021.
Academic Services
Reviewer: TPAMI, IJCV, TIP, TNNLS, ICML, AAAI, ICLR, NeurIPS, TMM, TCSVT, etc.