Yingyezhe Jin

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 13

Top Topics

Spiking Neural Networks

Biologically Inspired

Top Venues

USENIX Security Symposium

Publications

Teng Xu, Gerard Goossen, Huseyin Kerem Cevahir, Sara Khodeir, Yingyezhe Jin, Frank Li, Shawn Shan, Sagar Patel, David Freeman, Paul Pearce
Deep Entity Classification: Abusive Account Detection for Online Social Networks. USENIX Security Symposium (2021)
Bon Woong Ku, Yu Liu, Yingyezhe Jin, Sandeep Kumar Samal, Peng Li, Sung Kyu Lim
Design and architectural co-optimization of monolithic 3D liquid state machine-based neuromorphic processor. DAC (2018)
Bon Woong Ku, Yu Liu, Yingyezhe Jin, Peng Li, Sung Kyu Lim
Area-efficient and low-power face-to-face-bonded 3D liquid state machine design. ICCAD (2018)
Yingyezhe Jin, Peng Li, Wenrui Zhang
Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks. CoRR (2018)
Yingyezhe Jin, Wenrui Zhang, Peng Li
Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks. NeurIPS (2018)
Yu Liu, Yingyezhe Jin, Peng Li
Online Adaptation and Energy Minimization for Hardware Recurrent Spiking Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 14 (1) (2018)
Yu Liu, Yingyezhe Jin, Peng Li
Exploring sparsity of firing activities and clock gating for energy-efficient recurrent spiking neural processors. ISLPED (2017)
Yingyezhe Jin, Peng Li
Calcium-modulated supervised spike-timing-dependent plasticity for readout training and sparsification of the liquid state machine. IJCNN (2017)
Yingyezhe Jin, Peng Li
Performance and robustness of bio-inspired digital liquid state machines: A case study of speech recognition. Neurocomputing 226 (2017)
Yingyezhe Jin, Peng Li
AP-STDP: A novel self-organizing mechanism for efficient reservoir computing. IJCNN (2016)
Yingyezhe Jin, Yu Liu, Peng Li
SSO-LSM: A Sparse and Self-Organizing architecture for Liquid State Machine based neural processors. NANOARCH (2016)
Yong Zhang, Peng Li, Yingyezhe Jin, Yoonsuck Choe
A Digital Liquid State Machine With Biologically Inspired Learning and Its Application to Speech Recognition. IEEE Trans. Neural Networks Learn. Syst. 26 (11) (2015)
Qian Wang, Yingyezhe Jin, Peng Li
General-purpose LSM learning processor architecture and theoretically guided design space exploration. BioCAS (2015)