Kangjun Bai
Orcid: 0000-0003-4437-0006
According to our database1,
Kangjun Bai
authored at least 25 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Compute-in-Memory with 6T-RRAM Memristive Circuit for Next-Gen Neuromorphic Hardware.
Proceedings of the Neuro Inspired Computational Elements Conference, 2024
Proceedings of the 25th International Symposium on Quality Electronic Design, 2024
2023
Enabling a New Methodology of Neural Coding: Multiplexing Temporal Encoding in Neuromorphic Computing.
IEEE Trans. Very Large Scale Integr. Syst., March, 2023
Moving Towards Game-Changing Technology: Fabrication and Application of HfO2 RRAM for In-Memory Computing.
Proceedings of the 24th International Symposium on Quality Electronic Design, 2023
2022
Making Intelligent Reflecting Surfaces More Intelligent: A Roadmap Through Reservoir Computing.
IEEE Netw., 2022
Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022
2021
Moving Toward Intelligence: A Hybrid Neural Computing Architecture for Machine Intelligence Applications.
PhD thesis, 2021
IEEE Trans. Circuits Syst. I Regul. Pap., 2021
Low-power Analog and Mixed-signal IC Design of Multiplexing Neural Encoder in Neuromorphic Computing.
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.
Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021
Three-dimensional Memristive Deep Neural Network with Programmable Attention Mechanism.
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.
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.
IEEE Trans. Very Large Scale Integr. Syst., 2020
Energy Efficient Temporal Spatial Information Processing Circuits Based on STDP and Spike Iteration.
IEEE Trans. Circuits Syst. II Express Briefs, 2020
Moving Toward Intelligence: Detecting Symbols on 5G Systems Through Deep Echo State Network.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2020
Comput. Electr. Eng., 2020
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.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020
2019
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.
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.
ACM J. Emerg. Technol. Comput. Syst., 2018
A deep learning based approach for analog hardware implementation of delayed feedback reservoir computing system.
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.
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.
Proceedings of the 55th Annual Design Automation Conference, 2018
2016
Cyclical sensing integrate-and-fire circuit for memristor array based neuromorphic computing.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016