Yu Liu
Orcid: 0000-0002-4332-8124Affiliations:
- Texas A&M University, Department of Electrical and Computer Engineering, College Station, TX, USA
According to our database1,
Yu Liu
authored at least 8 papers
between 2016 and 2019.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on linkedin.com
-
on orcid.org
On csauthors.net:
Bibliography
2019
Energy-efficient FPGA Spiking Neural Accelerators with Supervised and Unsupervised Spike-timing-dependent-Plasticity.
ACM J. Emerg. Technol. Comput. Syst., 2019
Enabling Non-Hebbian Learning in Recurrent Spiking Neural Processors With Hardware-Friendly On-Chip Intrinsic Plasticity.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2019
Boosting Throughput and Efficiency of Hardware Spiking Neural Accelerators using Time Compression Supporting Multiple Spike Codes.
CoRR, 2019
2018
Online Adaptation and Energy Minimization for Hardware Recurrent Spiking Neural Networks.
ACM J. Emerg. Technol. Comput. Syst., 2018
Proceedings of the International Conference on Computer-Aided Design, 2018
Design and architectural co-optimization of monolithic 3D liquid state machine-based neuromorphic processor.
Proceedings of the 55th Annual Design Automation Conference, 2018
2017
Exploring sparsity of firing activities and clock gating for energy-efficient recurrent spiking neural processors.
Proceedings of the 2017 IEEE/ACM International Symposium on Low Power Electronics and Design, 2017
2016
SSO-LSM: A Sparse and Self-Organizing architecture for Liquid State Machine based neural processors.
Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2016