Zaidao Mei

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 8

Top Topics

Spiking Neural Networks

Biologically Plausible

Incremental Learning

Top Venues

Publications

Zaidao Mei, Boyu Wang, Daniel Patrick Rider, Qinru Qiu
SEnsitivity Modulated Importance Networking and Rehearsal for Spike Domain Incremental Learning. ICONS (2023)
Zaidao Mei, Mark Barnell, Qinru Qiu
Unsupervised Adaptation of Spiking Networks in a Gradual Changing Environment. HPEC (2022)
Haowen Fang, Brady Taylor, Ziru Li, Zaidao Mei, Hai Helen Li, Qinru Qiu
Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning. CoRR (2021)
Amar Shrestha, Haowen Fang, Daniel Patrick Rider, Zaidao Mei, Qinru Qiu
In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor. CoRR (2021)
Haowen Fang, Brady Taylor, Ziru Li, Zaidao Mei, Hai Helen Li, Qinru Qiu
Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning. DAC (2021)
Amar Shrestha, Haowen Fang, Daniel Patrick Rider, Zaidao Mei, Qinru Qiu
In-Hardware Learning of Multilayer Spiking Neural Networks on a Neuromorphic Processor. DAC (2021)
Haowen Fang, Zaidao Mei, Amar Shrestha, Ziyi Zhao, Yilan Li, Qinru Qiu
Encoding, Model, and Architecture: Systematic Optimization for Spiking Neural Network in FPGAs. ICCAD (2020)
Zaiwu Mei, Jianwan Ding, Liping Chen, Ting Pi, Zaidao Mei
Hybrid Multi-Domain Analytical and Data-Driven Modeling for Feed Systems in Machine Tools. Symmetry 11 (9) (2019)