Yu Li

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Video Representation

Defense Mechanisms

Top Venues

Publications

Qiuxia Lai, Ailing Zeng, Ye Wang, Lihong Cao, Yu Li, Qiang Xu
Self-Supervised Video Representation Learning via Capturing Semantic Changes Indicated by Saccades. IEEE Trans. Circuits Syst. Video Technol. 34 (8) (2024)
Zhendong Yang, Ailing Zeng, Zhe Li, Tianke Zhang, Chun Yuan, Yu Li
From Knowledge Distillation to Self-Knowledge Distillation: A Unified Approach with Normalized Loss and Customized Soft Labels. ICCV (2023)
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 (2022)
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)
Min Li, Yu Li, Ye Tian, Li Jiang, Qiang Xu
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference. CoRR (2021)
Yu Li, Min Li, Qiuxia Lai, Yannan Liu, Qiang Xu
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks. NeurIPS (2021)
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)
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 (2021)
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)
Yu Li, Min Li, Qiuxia Lai, Yannan Liu, Qiang Xu
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks. CoRR (2021)
Qiuxia Lai, Yu Li, Ailing Zeng, Minhao Liu, Hanqiu Sun, Qiang Xu
Information Bottleneck Approach to Spatial Attention Learning. CoRR (2021)
Qiuxia Lai, Yu Li, Ailing Zeng, Minhao Liu, Hanqiu Sun, Qiang Xu
Information Bottleneck Approach to Spatial Attention Learning. IJCAI (2021)
Yu Li, Min Li, Bo Luo, Ye Tian, Qiang Xu
DeepDyve: Dynamic Verification for Deep Neural Networks. CoRR (2020)
Bo Luo, Min Li, Yu Li, Qiang Xu
On Configurable Defense against Adversarial Example Attacks. ACM Great Lakes Symposium on VLSI (2020)
Yu Li, Min Li, Bo Luo, Ye Tian, Qiang Xu
DeepDyve: Dynamic Verification for Deep Neural Networks. CCS (2020)
Bo Luo, Yu Li, Lingxiao Wei, Qiang Xu
On Functional Test Generation for Deep Neural Network IPs. DATE (2019)
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)
Bo Luo, Yu Li, Lingxiao Wei, Qiang Xu
On Functional Test Generation for Deep Neural Network IPs. CoRR (2019)
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)
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 (2018)
Bo Luo, Min Li, Yu Li, Qiang Xu
On Configurable Defense against Adversarial Example Attacks. CoRR (2018)
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)