Yingyezhe Jin

According to our database, Yingyezhe Jin authored at least 12 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Deep Entity Classification: Abusive Account Detection for Online Social Networks.

Teng Xu, Gerard Goossen, Huseyin Kerem Cevahir, Sara Khodeir, Yingyezhe Jin, Frank Li, Shawn Shan, Sagar Patel, David Freeman, Paul Pearce

Proceedings of the 30th USENIX Security Symposium, 2021

2018

Online Adaptation and Energy Minimization for Hardware Recurrent Spiking Neural Networks.

Yu Liu, Yingyezhe Jin, Peng Li

ACM J. Emerg. Technol. Comput. Syst., 2018

Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks.

Yingyezhe Jin, Wenrui Zhang, Peng Li

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Area-efficient and low-power face-to-face-bonded 3D liquid state machine design.

Bon Woong Ku, Yu Liu, Yingyezhe Jin, Peng Li, Sung Kyu Lim

Proceedings of the International Conference on Computer-Aided Design, 2018

Design and architectural co-optimization of monolithic 3D liquid state machine-based neuromorphic processor.

Bon Woong Ku, Yu Liu, Yingyezhe Jin, Sandeep Kumar Samal, Peng Li, Sung Kyu Lim

Proceedings of the 55th Annual Design Automation Conference, 2018

2017

Performance and robustness of bio-inspired digital liquid state machines: A case study of speech recognition.

Yingyezhe Jin, Peng Li

Neurocomputing, 2017

Exploring sparsity of firing activities and clock gating for energy-efficient recurrent spiking neural processors.

Yu Liu, Yingyezhe Jin, Peng Li

Proceedings of the 2017 IEEE/ACM International Symposium on Low Power Electronics and Design, 2017

Calcium-modulated supervised spike-timing-dependent plasticity for readout training and sparsification of the liquid state machine.

Yingyezhe Jin, Peng Li

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

SSO-LSM: A Sparse and Self-Organizing architecture for Liquid State Machine based neural processors.

Yingyezhe Jin, Yu Liu, Peng Li

Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures, 2016

AP-STDP: A novel self-organizing mechanism for efficient reservoir computing.

Yingyezhe Jin, Peng Li

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

A Digital Liquid State Machine With Biologically Inspired Learning and Its Application to Speech Recognition.

Yong Zhang, Peng Li, Yingyezhe Jin, Yoonsuck Choe

IEEE Trans. Neural Networks Learn. Syst., 2015

General-purpose LSM learning processor architecture and theoretically guided design space exploration.

Qian Wang, Yingyezhe Jin, Peng Li

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015