Yi Yu

According to our database, Yi Yu authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Semantic Deep Hiding for Robust Unlearnable Examples.

Ruohan Meng, Chenyu Yi, Yi Yu, Siyuan Yang, Bingquan Shen, Alex C. Kot

IEEE Trans. Inf. Forensics Secur., 2024

Towards Physical World Backdoor Attacks against Skeleton Action Recognition.

Qichen Zheng, Yi Yu, Siyuan Yang, Jun Liu, Kwok-Yan Lam, Alex C. Kot

CoRR, 2024

Single-Image Shadow Removal Using Deep Learning: A Comprehensive Survey.

Lanqing Guo, Chong Wang, Yufei Wang, Yi Yu, Siyu Huang, Wenhan Yang, Alex C. Kot, Bihan Wen

CoRR, 2024

MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection.

Chenqi Kong, Anwei Luo, Song Xia, Yi Yu, Haoliang Li, Alex C. Kot

CoRR, 2024

Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations.

Xun Lin, Yi Yu, Song Xia, Jue Jiang, Haoran Wang, Zitong Yu, Yizhong Liu, Ying Fu, Shuai Wang, Wenzhong Tang, Alex C. Kot

CoRR, 2024

HideMIA: Hidden Wavelet Mining for Privacy-Enhancing Medical Image Analysis.

Xun Lin, Yi Yu, Zitong Yu, Ruohan Meng, Jiale Zhou, Ajian Liu, Yizhong Liu, Shuai Wang, Wenzhong Tang, Zhen Lei, Alex C. Kot

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders.

Yi Yu, Yufei Wang, Song Xia, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex C. Kot

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing.

Song Xia, Yi Yu, Xudong Jiang, Henghui Ding

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Benchmarking Adversarial Robustness of Image Shadow Removal with Shadow-Adaptive Attacks.

Chong Wang, Yi Yu, Lanqing Guo, Bihan Wen

Proceedings of the IEEE International Conference on Acoustics, 2024

Unlearnable Examples Detection via Iterative Filtering.

Yi Yu, Qichen Zheng, Siyuan Yang, Wenhan Yang, Jun Liu, Shijian Lu, Yap-Peng Tan, Kwok-Yan Lam, Alex C. Kot

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI.

Chong Wang, Lanqing Guo, Yufei Wang, Hao Cheng, Yi Yu, Bihan Wen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Beyond Learned Metadata-based Raw Image Reconstruction.

Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex C. Kot, Bihan Wen

CoRR, 2023

ExposureDiffusion: Learning to Expose for Low-light Image Enhancement.

Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex C. Kot, Bihan Wen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger.

Yi Yu, Yufei Wang, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex C. Kot

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Raw Image Reconstruction with Learned Compact Metadata.

Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex C. Kot, Bihan Wen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond.

Yi Yu, Wenhan Yang, Yap-Peng Tan, Alex C. Kot

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2018

Classification of Pancreatic Cystic Neoplasms Based on Multimodality Images.

Weixiang Chen, Hongchen Ji, Jianjiang Feng, Rong Liu, Yi Yu, Ruiquan Zhou, Jie Zhou

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018