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Mengyun Liu
Mengyun Liu
Verified email at duke.edu
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Year
Fault-tolerant training with on-line fault detection for RRAM-based neural computing systems
L Xia, M Liu, X Ning, K Chakrabarty, Y Wang
Proceedings of the 54th Annual Design Automation Conference 2017, 1-6, 2017
203*2017
Algorithmic fault detection for RRAM-based matrix operations
M Liu, L Xia, Y Wang, K Chakrabarty
ACM Transactions on Design Automation of Electronic Systems (TODAES) 25 (3 …, 2020
38*2020
Fault tolerance in neuromorphic computing systems
M Liu, L Xia, Y Wang, K Chakrabarty
Proceedings of the 24th Asia and South Pacific Design Automation Conference …, 2019
372019
Board-level functional fault identification using streaming data
M Liu, F Ye, X Li, K Chakrabarty, X Gu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020
222020
Fine-grained adaptive testing based on quality prediction
M Liu, R Pan, F Ye, X Li, K Chakrabarty, X Gu
ACM Transactions on Design Automation of Electronic Systems (TODAES) 25 (5 …, 2020
202020
Design of fault-tolerant neuromorphic computing systems
M Liu, L Xia, Y Wang, K Chakrabarty
2018 IEEE 23rd European Test Symposium (ETS), 1-9, 2018
192018
Parallel discord discovery
T Huang, Y Zhu, Y Mao, X Li, M Liu, Y Wu, Y Ha, G Dobbie
Advances in Knowledge Discovery and Data Mining: 20th Pacific-Asia …, 2016
192016
Distributed discord discovery: Spark based anomaly detection in time series
Y Wu, Y Zhu, T Huang, X Li, X Liu, M Liu
2015 IEEE 17th International Conference on High Performance Computing and …, 2015
162015
Knowledge transfer in board-level functional fault diagnosis enabled by domain adaptation
M Liu, X Li, K Chakrabarty, X Gu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021
102021
Fault-tolerant neuromorphic computing systems
A Chaudhuri, M Liu, K Chakrabarty
2019 IEEE International Test Conference (ITC), 1-10, 2019
92019
Knowledge transfer in board-level functional fault identification using domain adaptation
M Liu, X Li, K Chakrabarty, X Gu
2019 IEEE International Test Conference (ITC), 1-10, 2019
92019
Perspectives on emerging computation-in-memory paradigms
S Rai, M Liu, A Gebregiorgis, D Bhattacharjee, K Chakrabarty, ...
2021 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2021
82021
On designing efficient and reliable nonvolatile memory-based computing-in-memory accelerators
B Yan, M Liu, Y Chen, K Chakrabarty, H Li
2019 IEEE International Electron Devices Meeting (IEDM), 14.5. 1-14.5. 4, 2019
72019
Adaptive methods for machine learning-based testing of integrated circuits and boards
M Liu, K Chakrabarty
2021 IEEE International Test Conference (ITC), 153-162, 2021
62021
Online fault detection in ReRAM-based computing systems by monitoring dynamic power consumption
M Liu, K Chakrabarty
2020 IEEE International Test Conference (ITC), 1-10, 2020
62020
Online fault detection in ReRAM-based computing systems for inferencing
M Liu, K Chakrabarty
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 30 (4), 392-405, 2022
52022
Designing ARINC653 partition constrained scheduling for secure real time embedded avionics
X Tao, Y Zhu, Y Mao, H Song, M Liu, X Liu, W Sheng, W Shi
2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing …, 2015
52015
Incomplete electrocardiogram time series prediction
W Shi, Y Zhu, SY Philip, M Liu, G Wang, Z Qian, Y Lian
2016 IEEE Biomedical Circuits and Systems Conference (BioCAS), 200-203, 2016
32016
Observation Point Insertion Using Deep Learning
B Bhaskaran, S Banerjee, K Narayanun, SC Hung, SNM Mojaveri, M Liu, ...
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided …, 2022
12022
Machine Learning Support for Board-Level Functional Fault Diagnosis
M Liu, X Li, K Chakrabarty
Machine Learning Support for Fault Diagnosis of System-on-Chip, 247-273, 2022
2022
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Articles 1–20