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Yu Li 0007
Person information
- affiliation: Chinese University of Hong Kong, CURE, Hong Kong
- affiliation: KU Leuven, Group T, Belgium
Other persons with the same name
- Yu Li — disambiguation page
- Yu Li 0001 — Tsinghua University, Department of Automation, Beijing, China
- Yu Li 0002
— Liaoning Technical University, School of Geomatics, Institute for Remote Sensing Science and Application, Fuxin, China (and 1 more)
- Yu Li 0003
- Yu Li 0004
- Yu Li 0005
- Yu Li 0006
- Yu Li 0008
- Yu Li 0009
- Yu Li 0010 — Polytechnic University of Milan, Italy
- Yu Li 0011
- Yu Li 0012 — University of Picardie Jules Verne, LaRIA, Amiens, France
- Yu Li 0013 — Columbia University, Natural Language Processing Group, New York, NY, USA (and 1 more)
- Yu Li 0014
- Yu Li 0015
- Yu Li 0016
- Yu Li 0017
- Yu Li 0018 — University of Queensland, School of Information Technology and Electrical Engineering, Brisbane, Australia
- Yu Li 0019
- Yu Li 0020
- Yu Li 0021 — Southeast University, School of Computer Science and Engineering, Nanjing, China (and 1 more)
- Yu Li 0022
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2020 – today
- 2025
- [c21]Zhiheng Huang, Yannan Liu, Daojing He, Yu Li:
DF-MIA: A Distribution-Free Membership Inference Attack on Fine-Tuned Large Language Models. AAAI 2025: 343-351 - [c20]Linbao Li, Yannan Liu, Daojing He, Yu Li:
One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs. ICLR 2025 - [i16]Zhonghao Yang, Linye Lyu, Xuanhang Chang, Daojing He, Yu Li:
SWA-LDM: Toward Stealthy Watermarks for Latent Diffusion Models. CoRR abs/2502.10495 (2025) - 2024
- [j3]Qiuxia Lai
Spatial attention for human-centric visual understanding: An Information Bottleneck method. Comput. Vis. Image Underst. 249: 104180 (2024) - [j2]Xiangyu Wen
On Function-Coupled Watermarks for Deep Neural Networks. IEEE J. Emerg. Sel. Topics Circuits Syst. 14(4): 608-619 (2024) - [j1]Qiuxia Lai
Self-Supervised Video Representation Learning via Capturing Semantic Changes Indicated by Saccades. IEEE Trans. Circuits Syst. Video Technol. 34(8): 6634-6645 (2024) - [c19]Jiawei Zhou, Linye Lyu, Daojing He, Yu Li:
RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation. ICML 2024 - [c18]Zefei Luo, Yu Li, Shuaishuai Tan, Daojing He:
Enhancing Flow Embedding Through Trace: A Novel Self-supervised Approach for Encrypted Traffic Classification. IJCNN 2024: 1-8 - [c17]Li Jiao, Qiuxia Lai, Yu Li, Qiang Xu:
Vector Quantization Prompting for Continual Learning. NeurIPS 2024 - [c16]Linye Lyu, Jiawei Zhou, Daojing He, Yu Li:
CNCA: Toward Customizable and Natural Generation of Adversarial Camouflage for Vehicle Detectors. NeurIPS 2024 - [i15]Jiawei Zhou, Linye Lyu, Daojing He, Yu Li:
RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation. CoRR abs/2402.15853 (2024) - [i14]Linye Lyu, Jiawei Zhou, Daojing He, Yu Li:
CNCA: Toward Customizable and Natural Generation of Adversarial Camouflage for Vehicle Detectors. CoRR abs/2409.17963 (2024) - [i13]Li Jiao, Qiuxia Lai, Yu Li, Qiang Xu:
Vector Quantization Prompting for Continual Learning. CoRR abs/2410.20444 (2024) - [i12]Jiawei Zhou, Linye Lyu, Daojing He, Yu Li:
Toward Robust and Accurate Adversarial Camouflage Generation against Vehicle Detectors. CoRR abs/2411.10029 (2024) - 2023
- [c15]Xiangjun Peng, Zheng Huang, Alex Cantrell, Bihua Shu, Ke Ke Xie, Yi Li, Yu Li, Li Jiang, Qiang Xu, Ming-Chang Yang:
EXPERT: EXPloiting DRAM ERror Types to Improve the Effective Forecasting Coverage in the Field. DSN-S 2023: 35-41 - [c14]Yu Li, Qiang Xu:
Towards Robust Deep Neural Networks Against Design-Time and Run-Time Failures. ITC 2023: 196-205 - [c13]Muxi Chen, Yu Li, Qiang Xu:
HiBug: On Human-Interpretable Model Debug. NeurIPS 2023 - [i11]Xiangyu Wen
On Function-Coupled Watermarks for Deep Neural Networks. CoRR abs/2302.10296 (2023) - 2022
- [c12]Yu Li, Muxi Chen, Qiang Xu
HybridRepair: towards annotation-efficient repair for deep learning models. ISSTA 2022: 227-238 - [c11]Yijun Yang, Ruiyuan Gao, Yu Li, Qiuxia Lai, Qiang Xu:
What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction. NDSS 2022 - [i10]Yijun Yang, Ruiyuan Gao, Yu Li, Qiuxia Lai, Qiang Xu:
What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction. CoRR abs/2201.09650 (2022) - [i9]Yu Li, Muxi Chen, Yannan Liu, Daojing He
An Empirical Study on the Efficacy of Deep Active Learning for Image Classification. CoRR abs/2212.03088 (2022) - 2021
- [c10]Min Li, Yu Li, Ye Tian, Li Jiang, Qiang Xu
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference. DAC 2021: 409-414 - [c9]Qiuxia Lai, Yu Li, Ailing Zeng, Minhao Liu, Hanqiu Sun, Qiang Xu:
Information Bottleneck Approach to Spatial Attention Learning. IJCAI 2021: 779-785 - [c8]Yu Li, Min Li, Qiuxia Lai, Yannan Liu, Qiang Xu:
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks. NeurIPS 2021: 20874-20886 - [c7]Xingyi Wang, Yu Li, Yiquan Chen
On Workload-Aware DRAM Failure Prediction in Large-Scale Data Centers. VTS 2021: 1-6 - [i8]Yijun Yang, Ruiyuan Gao, Yu Li, Qiuxia Lai, Qiang Xu:
MixDefense: A Defense-in-Depth Framework for Adversarial Example Detection Based on Statistical and Semantic Analysis. CoRR abs/2104.10076 (2021) - [i7]Min Li, Yu Li, Ye Tian, Li Jiang, Qiang Xu:
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference. CoRR abs/2105.04104 (2021) - [i6]Yu Li, Min Li, Qiuxia Lai, Yannan Liu, Qiang Xu:
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks. CoRR abs/2105.10113 (2021) - [i5]Qiuxia Lai, Yu Li, Ailing Zeng, Minhao Liu, Hanqiu Sun, Qiang Xu:
Information Bottleneck Approach to Spatial Attention Learning. CoRR abs/2108.03418 (2021) - 2020
- [c6]Yu Li, Min Li, Bo Luo, Ye Tian, Qiang Xu
DeepDyve: Dynamic Verification for Deep Neural Networks. CCS 2020: 101-112 - [c5]Bo Luo, Min Li, Yu Li, Qiang Xu
On Configurable Defense against Adversarial Example Attacks. ACM Great Lakes Symposium on VLSI 2020: 543-548 - [i4]Yu Li, Min Li, Bo Luo, Ye Tian, Qiang Xu:
DeepDyve: Dynamic Verification for Deep Neural Networks. CoRR abs/2009.09663 (2020)
2010 – 2019
- 2019
- [c4]Yu Li, Yannan Liu, Min Li, Ye Tian, Bo Luo, Qiang Xu
D2NN: a fine-grained dual modular redundancy framework for deep neural networks. ACSAC 2019: 138-147 - [c3]Bo Luo, Yu Li, Lingxiao Wei, Qiang Xu
On Functional Test Generation for Deep Neural Network IPs. DATE 2019: 1010-1015 - [i3]Bo Luo, Yu Li, Lingxiao Wei, Qiang Xu:
On Functional Test Generation for Deep Neural Network IPs. CoRR abs/1911.11550 (2019) - 2018
- [c2]Lingxiao Wei, Bo Luo, Yu Li, Yannan Liu, Qiang Xu
I Know What You See: Power Side-Channel Attack on Convolutional Neural Network Accelerators. ACSAC 2018: 393-406 - [c1]Yu Li, Ming Shao, Hailong Jiao, Adam Cron, Sandeep Bhatia, Erik Jan Marinissen
IEEE Std P1838's flexible parallel port and its specification with Google's protocol buffers. ETS 2018: 1-6 - [i2]Lingxiao Wei, Yannan Liu, Bo Luo, Yu Li, Qiang Xu:
I Know What You See: Power Side-Channel Attack on Convolutional Neural Network Accelerators. CoRR abs/1803.05847 (2018) - [i1]Bo Luo, Min Li, Yu Li, Qiang Xu:
On Configurable Defense against Adversarial Example Attacks. CoRR abs/1812.02737 (2018)
Coauthor Index
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last updated on 2025-06-05 20:35 CEST by the dblp team
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