Kangjun Bai

21 papers A* 2A 2C 1Misc 1Journal 8Unranked 7
YearRankTypeTitle / Venue / Authors
2023 — conf
Moving Towards Game-Changing Technology: Fabrication and Application of HfO2 RRAM for In-Memory Computing.
ISQED
Kangjun Bai, Daniel Titcombe, Jack Lombardi, Clare Thiem, Nathaniel C. Cady
2022 J jnl
Making Intelligent Reflecting Surfaces More Intelligent: A Roadmap Through Reservoir Computing.
IEEE Netw.
Zhou Zhou, Kangjun Bai, Nima Mohammadi, Yang Yi, Lingjia Liu
2021 A conf
A Hybrid FPGA-ASIC Delayed Feedback Reservoir System to Enable Spectrum Sensing/Sharing for Low Power IoT Devices ICCAD Special Session Paper.
ICCAD
Osaze Shears, Kangjun Bai, Lingjia Liu, Yang Yi
2021 — conf
Low-power Analog and Mixed-signal IC Design of Multiplexing Neural Encoder in Neuromorphic Computing.
ISQED
Honghao Zheng, Nima Mohammadi, Kangjun Bai, Yang Yi
2021 J jnl
Making Intelligent Reflecting Surfaces More Intelligent: A Roadmap Through Reservoir Computing.
CoRR
Zhou Zhou, Kangjun Bai, Nima Mohammadi, Yang Yi, Lingjia Liu
2021 J jnl
Spatial-Temporal Hybrid Neural Network With Computing-in-Memory Architecture.
IEEE Trans. Circuits Syst. I Regul. Pap.
Kangjun Bai, Lingjia Liu, Yang Yi
2021 — conf
Three-dimensional Memristive Deep Neural Network with Programmable Attention Mechanism.
ISQED
Hongyu An, Kangjun Bai, Yang Yi
2021 — conf
Toward Intelligence in Communication Networks: A Deep Learning Identification Strategy for Radio Frequency Fingerprints.
ISQED
Kangjun Bai, Clare Thiem, Nathan McDonald, Lisa Loomis, Yang Yi
2020 J jnl
A Training-Efficient Hybrid-Structured Deep Neural Network With Reconfigurable Memristive Synapses.
IEEE Trans. Very Large Scale Integr. Syst.
Kangjun Bai, Qiyuan An, Lingjia Liu, Yang Yi
2020 J jnl
A unified information perceptron using deep reservoir computing.
Comput. Electr. Eng.
Qiyuan An, Kangjun Bai, Lingjia Liu, Fangyang Shen, Yang Yi
2020 — conf
Deep Neural Network Based Speech Recognition Systems Under Noise Perturbations.
ISQED
Qiyuan An, Kangjun Bai, Moqi Zhang, Yang Yi, Yifang Liu
2020 A conf
Detection Through Deep Neural Networks: A Reservoir Computing Approach for MIMO-OFDM Symbol Detection.
ICCAD
Kangjun Bai, Lingjia Liu, Zhou Zhou, Yang Yi
2020 J jnl
Energy Efficient Temporal Spatial Information Processing Circuits Based on STDP and Spike Iteration.
IEEE Trans. Circuits Syst. II Express Briefs
Chenyuan Zhao, Qiyuan An, Kangjun Bai, Bryant Wysocki, Clare Thiem, Lingjia Liu, Yang Yi
2020 J jnl
Moving Toward Intelligence: Detecting Symbols on 5G Systems Through Deep Echo State Network.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Kangjun Bai, Yang Yi, Zhou Zhou, Shashank Jere, Lingjia Liu
2019 A* conf
Deep-DFR: A Memristive Deep Delayed Feedback Reservoir Computing System with Hybrid Neural Network Topology.
DAC
Kangjun Bai, Qiyuan An, Yang Yi
2019 Misc conf
High speed and energy efficient deep neural network for edge computing.
SEC
Kangjun Bai, Shiya Liu, Yang Yi
2018 — conf
A deep learning based approach for analog hardware implementation of delayed feedback reservoir computing system.
ISQED
Jialing Li, Kangjun Bai, Lingjia Liu, Yang Yi
2018 — conf
A path to energy-efficient spiking delayed feedback reservoir computing system for brain-inspired neuromorphic processors.
ISQED
Kangjun Bai, Yang Yi Bradley
2018 J jnl
DFR: An Energy-efficient Analog Delay Feedback Reservoir Computing System for Brain-inspired Computing.
ACM J. Emerg. Technol. Comput. Syst.
Kangjun Bai, Yang Yi
2018 A* conf
Enabling a new era of brain-inspired computing: energy-efficient spiking neural network with ring topology.
DAC
Kangjun Bai, Jialing Li, Kian Hamedani, Yang Yi
2016 C conf
Cyclical sensing integrate-and-fire circuit for memristor array based neuromorphic computing.
ISCAS
Hao Jiang, Weijie Zhu, Fu Luo, Kangjun Bai, Chenchen Liu, Xiaorong Zhang, J. Joshua Yang, Qiangfei Xia, Yiran Chen, Qing Wu