Yingyezhe Jin

13 papers A* 3A 2B 2Journal 4Unranked 2
YearRankTypeTitle / Venue / Authors
2021 A* conf
Deep Entity Classification: Abusive Account Detection for Online Social Networks.
USENIX Security Symposium
Teng Xu, Gerard Goossen, Huseyin Kerem Cevahir, Sara Khodeir, Yingyezhe Jin, Frank Li, Shawn Shan, Sagar Patel, David Freeman, Paul Pearce
2018 A conf
Area-efficient and low-power face-to-face-bonded 3D liquid state machine design.
ICCAD
Bon Woong Ku, Yu Liu, Yingyezhe Jin, Peng Li, Sung Kyu Lim
2018 A* conf
Design and architectural co-optimization of monolithic 3D liquid state machine-based neuromorphic processor.
DAC
Bon Woong Ku, Yu Liu, Yingyezhe Jin, Sandeep Kumar Samal, Peng Li, Sung Kyu Lim
2018 A* conf
Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks.
NeurIPS
Yingyezhe Jin, Wenrui Zhang, Peng Li
2018 J jnl
Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks.
CoRR
Yingyezhe Jin, Peng Li, Wenrui Zhang
2018 J jnl
Online Adaptation and Energy Minimization for Hardware Recurrent Spiking Neural Networks.
ACM J. Emerg. Technol. Comput. Syst.
Yu Liu, Yingyezhe Jin, Peng Li
2017 B conf
Calcium-modulated supervised spike-timing-dependent plasticity for readout training and sparsification of the liquid state machine.
IJCNN
Yingyezhe Jin, Peng Li
2017 A conf
Exploring sparsity of firing activities and clock gating for energy-efficient recurrent spiking neural processors.
ISLPED
Yu Liu, Yingyezhe Jin, Peng Li
2017 J jnl
Performance and robustness of bio-inspired digital liquid state machines: A case study of speech recognition.
Neurocomputing
Yingyezhe Jin, Peng Li
2016 B conf
AP-STDP: A novel self-organizing mechanism for efficient reservoir computing.
IJCNN
Yingyezhe Jin, Peng Li
2016 — conf
SSO-LSM: A Sparse and Self-Organizing architecture for Liquid State Machine based neural processors.
NANOARCH
Yingyezhe Jin, Yu Liu, Peng Li
2015 J jnl
A Digital Liquid State Machine With Biologically Inspired Learning and Its Application to Speech Recognition.
IEEE Trans. Neural Networks Learn. Syst.
Yong Zhang, Peng Li, Yingyezhe Jin, Yoonsuck Choe
2015 — conf
General-purpose LSM learning processor architecture and theoretically guided design space exploration.
BioCAS
Qian Wang, Yingyezhe Jin, Peng Li