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ORCIDYujia Liu 0005
Person information
- affiliation (PhD 2023): Peking University, National Key Laboratory for Multimedia Information Processing, School of Computer Science, China
Other persons with the same name
- Yujia Liu — disambiguation page
- Yujia Liu 0001
![[0000-0002-2275-6648]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2275-6648")
— Shanghai Maritime University, School of Economics and Management, China (and 2 more) - Yujia Liu 0002 — ETH Zurich, EcoVision Lab, Photogrammetry and Remote Sensing, Zürich, Switzerland
- Yujia Liu 0003 — Guangdong University of Technology, School of Art and Design, China (and 2 more)
- Yujia Liu 0004 — Tsinghua University, Future Lab, Beijing, China (and 1 more)
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2020 – today
- 2025
[j4]Yujia Liu, Chenxi Yang, Dingquan Li, Tingting Jiang, Tiejun Huang:
A Norm Regularization Training Strategy for Robust Image Quality Assessment Models. Int. J. Comput. Vis. 133(9): 5883-5897 (2025)- [j3]Yujia Liu, Chenxi Yang, Zhaofei Yu, Tie-Jun Huang:
Enhancing NR-IQA Model Robustness Through Simple Image Compression Techniques. IEEE Trans. Circuits Syst. Video Technol. 35(10): 9979-9985 (2025) - [i7]Yujia Liu, Dingquan Li, Tiejun Huang:
SEGA: A Transferable Signed Ensemble Gaussian Black-Box Attack against No-Reference Image Quality Assessment Models. CoRR abs/2509.18546 (2025) - 2024
- [j2]Chenxi Yang, Yujia Liu, Dingquan Li, Tingting Jiang:
Exploring Vulnerabilities of No-Reference Image Quality Assessment Models: A Query-Based Black-Box Method. IEEE Trans. Circuits Syst. Video Technol. 34(12): 12715-12729 (2024) - [c6]Yakun Chang, Yeliduosi Xiaokaiti, Yujia Liu, Bin Fan, Zhaojun Huang, Tiejun Huang, Boxin Shi:
Towards HDR and HFR Video from Rolling-Mixed-Bit Spikings. CVPR 2024: 25117-25127 - [c5]Yujia Liu, Chenxi Yang, Dingquan Li, Jianhao Ding, Tingting Jiang:
Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization. CVPR 2024: 25554-25563 - [c4]Jianhao Ding, Zhiyu Pan, Yujia Liu, Zhaofei Yu, Tiejun Huang:
Robust Stable Spiking Neural Networks. ICML 2024 - [c3]Yujia Liu, Tong Bu, Jianhao Ding, Zecheng Hao, Tiejun Huang, Zhaofei Yu:
Enhancing Adversarial Robustness in SNNs with Sparse Gradients. ICML 2024 - [c2]Zecheng Hao, Xinyu Shi, Yujia Liu, Zhaofei Yu, Tiejun Huang:
LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model. NeurIPS 2024 - [i6]Chenxi Yang, Yujia Liu, Dingquan Li, Tingting Jiang:
Exploring Vulnerabilities of No-Reference Image Quality Assessment Models: A Query-Based Black-Box Method. CoRR abs/2401.05217 (2024) - [i5]Zecheng Hao, Xinyu Shi, Zhiyu Pan, Yujia Liu, Zhaofei Yu, Tiejun Huang:
LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model. CoRR abs/2402.00411 (2024) - [i4]Yujia Liu, Chenxi Yang, Dingquan Li, Jianhao Ding, Tingting Jiang:
Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization. CoRR abs/2403.11397 (2024) - [i3]Chenxi Yang, Yujia Liu, Dingquan Li, Yan Zhong, Tingting Jiang:
Beyond Score Changes: Adversarial Attack on No-Reference Image Quality Assessment from Two Perspectives. CoRR abs/2404.13277 (2024) - [i2]Yujia Liu, Tong Bu, Jianhao Ding, Zecheng Hao, Tie-Jun Huang, Zhaofei Yu:
Enhancing Adversarial Robustness in SNNs with Sparse Gradients. CoRR abs/2405.20355 (2024) - [i1]Jianhao Ding, Zhiyu Pan, Yujia Liu, Zhaofei Yu, Tie-Jun Huang:
Robust Stable Spiking Neural Networks. CoRR abs/2405.20694 (2024) - 2022
- [j1]Yujia Liu, Ming Jiang, Tingting Jiang:
Transferable adversarial examples based on global smooth perturbations. Comput. Secur. 121: 102816 (2022) - [c1]Yujia Liu, Ming Jiang, Tingting Jiang:
LabelFool: A Trick In The Label Space. IJCNN 2022: 1-8
Coauthor Index
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