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Yannan Liu
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2020 – today
- 2022
- [i4]Yu Li, Muxi Chen, Yannan Liu, Daojing He, Qiang Xu:
An Empirical Study on the Efficacy of Deep Active Learning for Image Classification. CoRR abs/2212.03088 (2022) - 2021
- [c18]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 - [i3]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) - 2020
- [c17]Yannan Liu, Yabin Lai, Kaizhi Wei, Liang Gu, Zhengzheng Yan:
NLabel: An Accurate Familial Clustering Framework for Large-scale Weakly-labeled Malware. TrustCom 2020: 210-216
2010 – 2019
- 2019
- [j2]Zhigang Han, Fen Qin, Caihui Cui, Yannan Liu, Lingling Wang, Pinde Fu:
Mr4Soil: A MapReduce-Based Framework Integrated with GIS for Soil Erosion Modelling. ISPRS Int. J. Geo Inf. 8(3): 103 (2019) - [c16]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 - 2018
- [c15]Bo Luo, Yannan Liu, Lingxiao Wei, Qiang Xu:
Towards Imperceptible and Robust Adversarial Example Attacks Against Neural Networks. AAAI 2018: 1652-1659 - [c14]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 - [c13]Xian Zhang, Guangyu Sun, Peichen Xie, Chao Zhang, Yannan Liu, Lingxiao Wei, Qiang Xu, Chun Jason Xue:
Shadow Block: Accelerating ORAM Accesses with Data Duplication. MICRO 2018: 961-973 - [i2]Bo Luo, Yannan Liu, Lingxiao Wei, Qiang Xu:
Towards Imperceptible and Robust Adversarial Example Attacks against Neural Networks. CoRR abs/1801.04693 (2018) - [i1]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) - 2017
- [c12]Ting Wang, Yannan Liu, Qiang Xu, Zhaobo Zhang, Zhiyuan Wang, Xinli Gu:
RetroDMR: Troubleshooting non-deterministic faults with retrospective DMR. DATE 2017: 638-641 - [c11]Yannan Liu, Lingxiao Wei, Bo Luo, Qiang Xu:
Fault injection attack on deep neural network. ICCAD 2017: 131-138 - [c10]Yinghong Liang, Lei Hong, Yannan Liu:
The Chinese Multi-Word Expression Extraction Based on Improved Semi-supervised Algorithm. ICMLC 2017: 190-194 - 2016
- [c9]Yannan Liu, Lingxiao Wei, Zhe Zhou, Kehuan Zhang, Wenyuan Xu, Qiang Xu:
On Code Execution Tracking via Power Side-Channel. CCS 2016: 1019-1031 - [c8]Fei Gao, Yannan Liu, Wei-Hsin Liao:
A new powered ankle-foot prosthesis with compact parallel spring mechanism. ROBIO 2016: 473-478 - 2015
- [j1]Jie Zhang, Feng Yuan, Lingxiao Wei, Yannan Liu, Qiang Xu:
VeriTrust: Verification for Hardware Trust. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(7): 1148-1161 (2015) - [c7]Lingxiao Wei, Jie Zhang, Feng Yuan, Yannan Liu, Junfeng Fan, Qiang Xu:
Vulnerability analysis for crypto devices against probing attack. ASP-DAC 2015: 827-832 - [c6]Yannan Liu, Jie Zhang, Lingxiao Wei, Feng Yuan, Qiang Xu:
DERA: yet another differential fault attack on cryptographic devices based on error rate analysis. DAC 2015: 31:1-31:6 - [c5]Lingxiao Wei, Chaosheng Song, Yannan Liu, Jie Zhang, Feng Yuan, Qiang Xu:
BoardPUF: Physical Unclonable Functions for Printed Circuit Board Authentication. ICCAD 2015: 152-158 - 2014
- [c4]Jie Zhang, Guantong Su, Yannan Liu, Lingxiao Wei, Feng Yuan, Guoqiang Bai, Qiang Xu:
On trojan side channel design and identification. ICCAD 2014: 278-285 - 2013
- [c3]Feng Yuan, Yannan Liu, Wen-Ben Jone, Qiang Xu:
On testing timing-speculative circuits. DAC 2013: 30:1-30:6 - 2012
- [c2]Yannan Liu, Tianzhou Chen, Tiefei Zhang, Jinming Yue:
Dealing with the Functional Units Starvation in SMT. HPCC-ICESS 2012: 208-215 - [c1]Jinming Yue, Tiefei Zhang, Yannan Liu, Baixin Quan, Tianzhou Chen:
Thermal-Aware Feedback Control Scheduling for Soft Real-time Systems. HPCC-ICESS 2012: 1479-1486
Coauthor Index
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last updated on 2024-08-07 21:32 CEST by the dblp team
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