Kangjun Bai

According to our database, Kangjun Bai authored at least 22 papers between 2016 and 2023.

Collaborative distances:

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

2023

Enabling a New Methodology of Neural Coding: Multiplexing Temporal Encoding in Neuromorphic Computing.

Honghao Zheng, Kang Jun Bai, Yang Yi

IEEE Trans. Very Large Scale Integr. Syst., March, 2023

Moving Towards Game-Changing Technology: Fabrication and Application of HfO2 RRAM for In-Memory Computing.

Kangjun Bai, Daniel Titcombe, Jack Lombardi, Clare Thiem, Nathaniel C. Cady

Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

2022

Making Intelligent Reflecting Surfaces More Intelligent: A Roadmap Through Reservoir Computing.

Zhou Zhou, Kangjun Bai, Nima Mohammadi, Yang Yi, Lingjia Liu

IEEE Netw., 2022

Diagnosing Clinical Diseases using an Edge-Enabled Deep Learning Technology.

Kang Jun Bai, Yang Yi

Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

2021

Spatial-Temporal Hybrid Neural Network With Computing-in-Memory Architecture.

Kangjun Bai, Lingjia Liu, Yang Yi

IEEE Trans. Circuits Syst. I Regul. Pap., 2021

Low-power Analog and Mixed-signal IC Design of Multiplexing Neural Encoder in Neuromorphic Computing.

Honghao Zheng, Nima Mohammadi, Kangjun Bai, Yang Yi

Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

Toward Intelligence in Communication Networks: A Deep Learning Identification Strategy for Radio Frequency Fingerprints.

Kangjun Bai, Clare Thiem, Nathan McDonald, Lisa Loomis, Yang Yi

Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

Three-dimensional Memristive Deep Neural Network with Programmable Attention Mechanism.

Hongyu An, Kangjun Bai, Yang Yi

Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

A Hybrid FPGA-ASIC Delayed Feedback Reservoir System to Enable Spectrum Sensing/Sharing for Low Power IoT Devices ICCAD Special Session Paper.

Osaze Shears, Kangjun Bai, Lingjia Liu, Yang Yi

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

2020

A Training-Efficient Hybrid-Structured Deep Neural Network With Reconfigurable Memristive Synapses.

Kangjun Bai, Qiyuan An, Lingjia Liu, Yang Yi

IEEE Trans. Very Large Scale Integr. Syst., 2020

Energy Efficient Temporal Spatial Information Processing Circuits Based on STDP and Spike Iteration.

Chenyuan Zhao, Qiyuan An, Kangjun Bai, Bryant Wysocki, Clare Thiem, Lingjia Liu, Yang Yi

IEEE Trans. Circuits Syst. II Express Briefs, 2020

Moving Toward Intelligence: Detecting Symbols on 5G Systems Through Deep Echo State Network.

Kangjun Bai, Yang Yi, Zhou Zhou, Shashank Jere, Lingjia Liu

IEEE J. Emerg. Sel. Topics Circuits Syst., 2020

A unified information perceptron using deep reservoir computing.

Qiyuan An, Kangjun Bai, Lingjia Liu, Fangyang Shen, Yang Yi

Comput. Electr. Eng., 2020

Deep Neural Network Based Speech Recognition Systems Under Noise Perturbations.

Qiyuan An, Kangjun Bai, Moqi Zhang, Yang Yi, Yifang Liu

Proceedings of the 21st International Symposium on Quality Electronic Design, 2020

Detection Through Deep Neural Networks: A Reservoir Computing Approach for MIMO-OFDM Symbol Detection.

Kangjun Bai, Lingjia Liu, Zhou Zhou, Yang Yi

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

2019

High speed and energy efficient deep neural network for edge computing.

Kangjun Bai, Shiya Liu, Yang Yi

Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

Deep-DFR: A Memristive Deep Delayed Feedback Reservoir Computing System with Hybrid Neural Network Topology.

Kangjun Bai, Qiyuan An, Yang Yi

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2018

DFR: An Energy-efficient Analog Delay Feedback Reservoir Computing System for Brain-inspired Computing.

Kangjun Bai, Yang Yi

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

A deep learning based approach for analog hardware implementation of delayed feedback reservoir computing system.

Jialing Li, Kangjun Bai, Lingjia Liu, Yang Yi

Proceedings of the 19th International Symposium on Quality Electronic Design, 2018

A path to energy-efficient spiking delayed feedback reservoir computing system for brain-inspired neuromorphic processors.

Kangjun Bai, Yang Yi Bradley

Proceedings of the 19th International Symposium on Quality Electronic Design, 2018

Enabling a new era of brain-inspired computing: energy-efficient spiking neural network with ring topology.

Kangjun Bai, Jialing Li, Kian Hamedani, Yang Yi

Proceedings of the 55th Annual Design Automation Conference, 2018

2016

Cyclical sensing integrate-and-fire circuit for memristor array based neuromorphic computing.

Hao Jiang, Weijie Zhu, Fu Luo, Kangjun Bai, Chenchen Liu, Xiaorong Zhang, J. Joshua Yang, Qiangfei Xia, Yiran Chen, Qing Wu

Proceedings of the IEEE International Symposium on Circuits and Systems, 2016