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ORCIDYu 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 — University of Waterloo, Department of Geography and Environmental Management, Canada
- Yu Li 0003
![[0000-0003-1865-8276]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1865-8276")
— University of Illinois at Urbana-Champaign, IL, USA (and 3 more) - Yu Li 0004 — University of Science and Technology of China, Department of Electronic Science and Technology, Hefei, China
- Yu Li 0005 — A*STAR, Institute of Microelectronics, Singapore
- Yu Li 0006 — King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
- Yu Li 0008 — Wright State University, Department of Computer Science and Engineering, Dayton, OH, USA
- Yu Li 0009 — Beijing University of Technology, Faculty of Information Technology, China (and 1 more)
- Yu Li 0010 — Polytechnic University of Milan, Italy
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2020 – today
- 2022
[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- [i9]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) - 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, Shiwen Wang, Yin Du, Cheng He, YuZhong Zhang, Pinan Chen, Xin Li, Wenjun Song, Qiang Xu, Li Jiang:
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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