News
[May 2, 2024] Two papers are accepted by ICML 2024!
[Feb 27, 2024] Two papers are accepted by CVPR 2024!
[Feb'21, 2024] Ph.D. Thesis submitted! 🎉
Honors and Awards
The National Scholarship (Top 2%)
Tang Lixin Scholarship (Top 0.2%)
SDSC Dissertation Research Fellowship 2022 (10 recipients in Singpaore)
Publications
Topics: All Topics / Computational Photography & Generative models / Compression / Robustness & Security
(* represents the equal contribution.)
ICML'24
Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders
Yi Yu, Yufei Wang , Song Xia, Wenhan Yang, Shijian Lu, Yap-peng Tan, Alex C. Kot
International Conference on Machine Learning (ICML) , 2024
Paper
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Code
ICML'24
Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach
Zhihao Li*, Yufei Wang* , Alex C. Kot, Bihan Wen
International Conference on Machine Learning (ICML) , 2024
Paper coming soon
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Code
CVPR'24
SinSR: Diffusion-Based Image Super-Resolution in a Single Step
Yufei Wang , Wenhan Yang, Xinyuan Chen, Yaohui Wang, Lanqing Guo, Lap-Pui Chau, Ziwei Liu, Yu Qiao, Alex C. Kot, Bihan Wen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2024
Paper
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Code
CVPR'24
Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI
Chong Wang, Lanqing Guo, Yufei Wang , Hao Cheng, Yi Yu, Bihan Wen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2024 (Highlight)
Paper
Arxiv'24
Make a Cheap Scaling: A Self-Cascade Diffusion Model
for Higher-Resolution Adaptation
Lanqing Guo, Yingqing He, Haoxin Chen, Menghan Xia, Xiaodong Cun, Yufei Wang , Siyu Huang, Yong Zhang, Xintao Wang, Qifeng Chen, Ying Shan, Bihan Wen
Arxiv , 2024
Paper
ICCV'23
ExposureDiffusion: Learning to Expose for Low-light Image Enhancement
Yufei Wang , Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex Kot, Bihan Wen
International Conference on Computer Vision (ICCV) , 2023
Paper
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Code
ICCV'23
Boundary-Aware Divide and Conquer: A Diffusion-based Solution for Unsupervised Shadow Removal
Lanqing Guo, Chong Wang, Wenhan Yang, Yufei Wang , Bihan Wen
International Conference on Computer Vision (ICCV) , 2023
Paper
Arxiv'23
Beyond Learned Metadata-based Raw Image Reconstruction
Yufei Wang , Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex Kot, Bihan Wen
Arxiv , 2023
Paper
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Code
ISCAS'23
Removing Image Artifacts From Scratched Lens Protectorsl
Yufei Wang , Renjie Wan, Wenhan Yang, Bihan Wen, Lap-pui Chau, Alex C Kot
IEEE International Symposium on Circuits and System (ISCAS) , 2023
Paper /
Dataset
CVPR'23
Raw Image Reconstruction with Learned Compact Metadata
Yufei Wang , Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex Kot, Bihan Wen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2023
Paper
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Code
CVPR'23
Backdoor Attacks Against Deep Image Compression
via Adaptive Frequency Trigger
Yi Yu, Yufei Wang , Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex Kot
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2023
Paper
CVPR'23
ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal
Lanqing Guo, Chong Wang, Wenhan Yang, Siyu Huang, Yufei Wang , Hanspeter Pfister, Bihan Wen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2023
Paper
ICIP'23
Enhancing Low-Light Images using Infrared Encoded Images
Shulin Tian*, Yufei Wang* , Renjie Wan, Wenhan Yang, Alex C. Kot, Bihan Wen
International Conference on Image Processing (ICIP) , 2023
Paper /
Code
TNNLS'23
Disentangled Feature Representation for Few-shot Image Classification
Hao Cheng, Yufei Wang , Haoliang Li, Alex C. Kot, Bihan Wen
Transactions on Neural Networks and Learning Systems (TNNLS) , 2023
Paper
ICLR'23
Temporal Coherent Test Time Optimization for Robust Video Classification
Chenyu Yi, Siyuan Yang, Yufei Wang , Haoliang Li, Yap-peng Tan, Alex Kot
International Conference on Learning Representations (ICLR) , 2023
Paper
TKDE'23
Privacy-Preserving Constrained Domain Generalization via Gradient Alignment
Chris Xing Tian, Haoliang Li, Yufei Wang , Shiqi Wang
IEEE Transactions on Knowledge and Data Engineering (TKDE) , 2023
Paper
AAAI'22
Low-Light Image Enhancement with Normalizing Flow
Yufei Wang , Renjie Wan, Wenhan Yang, Haoliang Li, Lap-pui Chau, and Alex C. Kot
AAAI Conference on Artificial Intelligence (AAAI) , 2022 (Oral Presentation 5.5%)
Paper
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Project page
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Code
TMLR'22
Variational Disentanglement for Domain Generalization
Yufei Wang , Haoliang Li, Bihan Wen, Lap-pui Chau, and Alex C. Kot
Transactions on Machine Learning Research (TMLR) , 2022
Paper
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Openreview
ACM MM'22
Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation
Yufei Wang , Haoliang Li, Lap-pui Chau, and Alex C. Kot
ACM Multimedia (ACM MM) , 2021
Paper
NeurIPS'21
Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization
Haoliang Li, Yufei Wang , Renjie Wan, Tie-Qaing Li, Alex C. Kot
Neural Information Processing Systems (NeurIPS) , 2021
Paper /
Code
ICASSP'20
Heterogeneous Domain Generalization via Domain Mixup
Yufei Wang , Haoliang Li, Alex C. Kot
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 2020
Paper /
Code
Arxiv'20
Light Can Hack Your Face! Black-box Backdoor
Attack on Face Recognition Systems
Haoliang Li*, Yufei Wang* , Xiaofei Xie, Yang Liu, Shiqi Wang, Renjie Wan, Lap-Pui Chau, Alex C. Kot
Arxiv , 2020
Paper
Professional Service
Journal reviewer: TPAMI, IJCV, TIP, TNNLS, TMM, TCSVT, etc
Conference reviewer: ICML, NeurIPS, ICLR, AAAI, etc