Yujia Liu

According to our database, Yujia Liu authored at least 15 papers between 2022 and 2026.

Collaborative distances:

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

2026

SEGA: A Transferable Signed Ensemble Gaussian Black-Box Attack Against No-Reference Image Quality Assessment Models.

Yujia Liu, Dingquan Li, Zhixuan Li, Tiejun Huang

IEEE Trans. Pattern Anal. Mach. Intell., June, 2026

2025

Enhancing NR-IQA Model Robustness Through Simple Image Compression Techniques.

Yujia Liu, Chenxi Yang, Zhaofei Yu, Tie-Jun Huang

IEEE Trans. Circuits Syst. Video Technol., October, 2025

A Norm Regularization Training Strategy for Robust Image Quality Assessment Models.

Yujia Liu, Chenxi Yang, Dingquan Li, Tingting Jiang, Tiejun Huang

Int. J. Comput. Vis., September, 2025

SEGA: A Transferable Signed Ensemble Gaussian Black-Box Attack against No-Reference Image Quality Assessment Models.

Yujia Liu, Dingquan Li, Tiejun Huang

CoRR, September, 2025

Self-supervised Image Flicker Removal for Rolling-shutter Cameras.

Shuoxin Shan, Yakun Chang, Yujia Liu, Renshuai Tao, Yifei Xia, Shikui Wei, Yao Zhao

Proceedings of the International Conference on Visual Communications and Image Processing, 2025

2024

Exploring Vulnerabilities of No-Reference Image Quality Assessment Models: A Query-Based Black-Box Method.

Chenxi Yang, Yujia Liu, Dingquan Li, Tingting Jiang

IEEE Trans. Circuits Syst. Video Technol., December, 2024

Beyond Score Changes: Adversarial Attack on No-Reference Image Quality Assessment from Two Perspectives.

Chenxi Yang, Yujia Liu, Dingquan Li, Yan Zhong, Tingting Jiang

CoRR, 2024

LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model.

Zecheng Hao, Xinyu Shi, Zhiyu Pan, Yujia Liu, Zhaofei Yu, Tiejun Huang

CoRR, 2024

LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model.

Zecheng Hao, Xinyu Shi, Yujia Liu, Zhaofei Yu, Tiejun Huang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Enhancing Adversarial Robustness in SNNs with Sparse Gradients.

Yujia Liu, Tong Bu, Jianhao Ding, Zecheng Hao, Tiejun Huang, Zhaofei Yu

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

Robust Stable Spiking Neural Networks.

Jianhao Ding, Zhiyu Pan, Yujia Liu, Zhaofei Yu, Tiejun Huang

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

Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization.

Yujia Liu, Chenxi Yang, Dingquan Li, Jianhao Ding, Tingting Jiang

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

Towards HDR and HFR Video from Rolling-Mixed-Bit Spikings.

Yakun Chang, Yeliduosi Xiaokaiti, Yujia Liu, Bin Fan, Zhaojun Huang, Tiejun Huang, Boxin Shi

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

2022

Transferable adversarial examples based on global smooth perturbations.

Yujia Liu, Ming Jiang, Tingting Jiang

Comput. Secur., 2022

LabelFool: A Trick In The Label Space.

Yujia Liu, Ming Jiang, Tingting Jiang

Proceedings of the International Joint Conference on Neural Networks, 2022