Chenchen Liu
Title
Cited by
Cited by
Year
Rescuing memristor-based neuromorphic design with high defects
C Liu, M Hu, JP Strachan, H Li
2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC), 1-6, 2017
1352017
How convolutional neural network see the world-A survey of convolutional neural network visualization methods
Z Qin, F Yu, C Liu, X Chen
arXiv preprint arXiv:1804.11191, 2018
1102018
A spiking neuromorphic design with resistive crossbar
C Liu, B Yan, C Yang, L Song, Z Li, B Liu, Y Chen, H Li, Q Wu, H Jiang
2015 52nd ACM/EDAC/IEEE Design Automation Conference (DAC), 1-6, 2015
1052015
A memristor crossbar based computing engine optimized for high speed and accuracy
C Liu, Q Yang, B Yan, J Yang, X Du, W Zhu, H Jiang, Q Wu, M Barnell, ...
2016 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 110-115, 2016
352016
A weighted sensing scheme for ReRAM-based cross-point memory array
C Liu, H Li
2014 IEEE Computer Society Annual Symposium on VLSI, 65-70, 2014
322014
A memristor-based neuromorphic engine with a current sensing scheme for artificial neural network applications
C Liu, Q Yang, C Zhang, H Jiang, Q Wu, HH Li
2017 22nd Asia and South Pacific Design Automation Conference (ASP-DAC), 647-652, 2017
312017
Looking ahead for resistive memory technology: A broad perspective on ReRAM technology for future storage and computing
HH Li, Y Chen, C Liu, JP Strachan, N Davila
IEEE Consumer Electronics Magazine 6 (1), 94-103, 2016
272016
Interpreting and evaluating neural network robustness
F Yu, Z Qin, C Liu, L Zhao, Y Wang, X Chen
arXiv preprint arXiv:1905.04270, 2019
222019
Hybrid spiking-based multi-layered self-learning neuromorphic system based on memristor crossbar arrays
AM Hassan, C Yang, C Liu, HH Li, Y Chen
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 …, 2017
152017
An overview on memristor crossabr based neuromorphic circuit and architecture
Z Li, C Liu, Y Wang, B Yan, C Yang, J Yang, H Li
2015 IFIP/IEEE International Conference on Very Large Scale Integration …, 2015
132015
Interpreting adversarial robustness: A view from decision surface in input space
F Yu, C Liu, Y Wang, L Zhao, X Chen
arXiv preprint arXiv:1810.00144, 2018
122018
Understanding the trade-offs of device, circuit and application in ReRAM-based neuromorphic computing systems
B Yan, C Liu, X Liu, Y Chen, H Li
2017 IEEE International Electron Devices Meeting (IEDM), 11.4. 1-11.4. 4, 2017
122017
Direct: Resource-aware dynamic model reconfiguration for convolutional neural network in mobile systems
Z Xu, Z Qin, F Yu, C Liu, X Chen
Proceedings of the International Symposium on Low Power Electronics and …, 2018
112018
Reform: Static and dynamic resource-aware dnn reconfiguration framework for mobile device
Z Xu, F Yu, C Liu, X Chen
Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019
92019
Cyclical sensing integrate-and-fire circuit for memristor array based neuromorphic computing
H Jiang, W Zhu, F Luo, K Bai, C Liu, X Zhang, JJ Yang, Q Xia, Y Chen, ...
2016 IEEE International Symposium on Circuits and Systems (ISCAS), 930-933, 2016
92016
Functionality-oriented convolutional filter pruning
Z Qin, F Yu, C Liu, X Chen
arXiv preprint arXiv:1810.07322, 2018
82018
Towards robust training of neural networks by regularizing adversarial gradients
F Yu, Z Xu, Y Wang, C Liu, X Chen
arXiv preprint arXiv:1805.09370, 2018
82018
Build reliable and efficient neuromorphic design with memristor technology
B Li, B Yan, C Liu, H Li
Proceedings of the 24th Asia and South Pacific Design Automation Conference …, 2019
72019
CAPTOR: A class adaptive filter pruning framework for convolutional neural networks in mobile applications
Z Qin, F Yu, C Liu, X Chen
Proceedings of the 24th Asia and South Pacific Design Automation Conference …, 2019
62019
Neural processor design enabled by memristor technology
C Liu, Y Chen, H Li
2016 IEEE International Conference on Rebooting Computing (ICRC), 1-4, 2016
62016
The system can't perform the operation now. Try again later.
Articles 1–20