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Chenchen Liu
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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
2662018
Rescuing memristor-based neuromorphic design with high defects
C Liu, M Hu, JP Strachan, H Li
Proceedings of the 54th Annual Design Automation Conference 2017, 1-6, 2017
2512017
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
Proceedings of the 52nd Annual Design Automation Conference, 1-6, 2015
1442015
Effect of flexoelectricity on electrostatic potential in a bent piezoelectric nanowire
C Liu, S Hu, S Shen
Smart materials and structures 21 (11), 115024, 2012
872012
Interpreting and evaluating neural network robustness
F Yu, Z Qin, C Liu, L Zhao, Y Wang, X Chen
arXiv preprint arXiv:1905.04270, 2019
692019
Fed2: Feature-aligned federated learning
F Yu, W Zhang, Z Qin, Z Xu, D Wang, C Liu, Z Tian, X Chen
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
492021
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
482016
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
422016
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
362017
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
352019
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
352014
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
312018
Heterogeneous federated learning
F Yu, W Zhang, Z Qin, Z Xu, D Wang, C Liu, Z Tian, X Chen
arXiv preprint arXiv:2008.06767, 2020
302020
Automated runtime-aware scheduling for multi-tenant dnn inference on gpu
F Yu, S Bray, D Wang, L Shangguan, X Tang, C Liu, X Chen
2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 1-9, 2021
292021
Rescuing memristor-based neuromorphic design with high defects. In2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC) 2017 Jun 18 (pp. 1-6)
C Liu, M Hu, JP Strachan, H Li
IEEE, 0
29
A survey of multi-tenant deep learning inference on gpu
F Yu, D Wang, L Shangguan, M Zhang, C Liu, X Chen
arXiv preprint arXiv:2203.09040, 2022
222022
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
212019
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
212017
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
192017
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
172018
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Artiklar 1–20