Yi Yu

According to our database, Yi Yu authored at least 29 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Reliable and Balanced Transfer Learning for Generalized Multimodal Face Anti-Spoofing.

Xun Lin, Ajian Liu, Zitong Yu, Rizhao Cai, Shuai Wang, Yi Yu, Jun Wan, Zhen Lei, Xiaochun Cao, Alex C. Kot

IEEE Trans. Pattern Anal. Mach. Intell., September, 2025

SAVER: Mitigating Hallucinations in Large Vision-Language Models via Style-Aware Visual Early Revision.

Zhaoxu Li, Chenqi Kong, Yi Yu, Qiangqiang Wu, Xinghao Jiang, Ngai-Man Cheung, Bihan Wen, Alex ChiChung Kot, Xudong Jiang

CoRR, August, 2025

Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking.

Qiangqiang Wu, Yi Yu, Chenqi Kong, Ziquan Liu, Jia Wan, Haoliang Li, Alex C. Kot, Antoni B. Chan

CoRR, July, 2025

Screen Hijack: Visual Poisoning of VLM Agents in Mobile Environments.

Xuan Wang, Siyuan Liang, Zhe Liu, Yi Yu, Yuliang Lu, Xiaochun Cao, Ee-Chien Chang, Xitong Gao

CoRR, June, 2025

MTL-UE: Learning to Learn Nothing for Multi-Task Learning.

Yi Yu, Song Xia, Siyuan Yang, Chenqi Kong, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex C. Kot

CoRR, May, 2025

Open-set Anomaly Segmentation in Complex Scenarios.

Song Xia, Yi Yu, Henghui Ding, Wenhan Yang, Shifei Liu, Alex C. Kot, Xudong Jiang

CoRR, April, 2025

Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation.

Yi Yu, Song Xia, Xun Lin, Chenqi Kong, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex C. Kot

CoRR, April, 2025

Robust and Transferable Backdoor Attacks Against Deep Image Compression With Selective Frequency Prior.

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

IEEE Trans. Pattern Anal. Mach. Intell., March, 2025

Toward Model Resistant to Transferable Adversarial Examples via Trigger Activation.

Yi Yu, Song Xia, Xun Lin, Chenqi Kong, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex C. Kot

IEEE Trans. Inf. Forensics Secur., 2025

Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems.

Song Xia, Yi Yu, Wenhan Yang, Meiwen Ding, Zhuo Chen, Ling-Yu Duan, Alex C. Kot, Xudong Jiang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Backdoor Attacks Against No-Reference Image Quality Assessment Models via a Scalable Trigger.

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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Beyond Learned Metadata-Based Raw Image Reconstruction.

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

Int. J. Comput. Vis., December, 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

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

Transferable Adversarial Attacks on SAM and Its Downstream Models.

Song Xia, Wenhan Yang, Yi Yu, Xun Lin, Henghui Ding, Lingyu Duan, Xudong Jiang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Towards Physical World Backdoor Attacks Against Skeleton Action Recognition.

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

Proceedings of the Computer Vision - ECCV 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

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