Kangjun Bai

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 21

Top Topics

Delayed Feedback

Energy Efficient

Hardware Implementation

Top Venues

IEEE Trans. Circuits Syst. I Regul. Pap.

Publications

Kangjun Bai, Daniel Titcombe, Jack Lombardi, Clare Thiem, Nathaniel Cady
Moving Towards Game-Changing Technology: Fabrication and Application of HfO2 RRAM for In-Memory Computing. ISQED (2023)
Zhou Zhou, Kangjun Bai, Nima Mohammadi, Yang Yi, Lingjia Liu
Making Intelligent Reflecting Surfaces More Intelligent: A Roadmap Through Reservoir Computing. IEEE Netw. 36 (2) (2022)
Hongyu An, Kangjun Bai, Yang Yi
Three-dimensional Memristive Deep Neural Network with Programmable Attention Mechanism. ISQED (2021)
Osaze Shears, Kangjun Bai, Lingjia Liu, Yang Yi
A Hybrid FPGA-ASIC Delayed Feedback Reservoir System to Enable Spectrum Sensing/Sharing for Low Power IoT Devices ICCAD Special Session Paper. ICCAD (2021)
Honghao Zheng, Nima Mohammadi, Kangjun Bai, Yang Yi
Low-power Analog and Mixed-signal IC Design of Multiplexing Neural Encoder in Neuromorphic Computing. ISQED (2021)
Kangjun Bai, Clare Thiem, Nathan McDonald, Lisa Loomis, Yang Yi
Toward Intelligence in Communication Networks: A Deep Learning Identification Strategy for Radio Frequency Fingerprints. ISQED (2021)
Zhou Zhou, Kangjun Bai, Nima Mohammadi, Yang Yi, Lingjia Liu
Making Intelligent Reflecting Surfaces More Intelligent: A Roadmap Through Reservoir Computing. CoRR (2021)
Kangjun Bai, Lingjia Liu, Yang Yi
Spatial-Temporal Hybrid Neural Network With Computing-in-Memory Architecture. IEEE Trans. Circuits Syst. I Regul. Pap. 68 (7) (2021)
Kangjun Bai, Lingjia Liu, Zhou Zhou, Yang Yi
Detection Through Deep Neural Networks: A Reservoir Computing Approach for MIMO-OFDM Symbol Detection. ICCAD (2020)
Kangjun Bai, Yang Yi, Zhou Zhou, Shashank Jere, Lingjia Liu
Moving Toward Intelligence: Detecting Symbols on 5G Systems Through Deep Echo State Network. IEEE J. Emerg. Sel. Topics Circuits Syst. 10 (2) (2020)
Kangjun Bai, Qiyuan An, Lingjia Liu, Yang Yi
A Training-Efficient Hybrid-Structured Deep Neural Network With Reconfigurable Memristive Synapses. IEEE Trans. Very Large Scale Integr. Syst. 28 (1) (2020)
Chenyuan Zhao, Qiyuan An, Kangjun Bai, Bryant Wysocki, Clare Thiem, Lingjia Liu, Yang Yi
Energy Efficient Temporal Spatial Information Processing Circuits Based on STDP and Spike Iteration. IEEE Trans. Circuits Syst. II Express Briefs (10) (2020)
Qiyuan An, Kangjun Bai, Lingjia Liu, Fangyang Shen, Yang Yi
A unified information perceptron using deep reservoir computing. Comput. Electr. Eng. 85 (2020)
Qiyuan An, Kangjun Bai, Moqi Zhang, Yang Yi, Yifang Liu
Deep Neural Network Based Speech Recognition Systems Under Noise Perturbations. ISQED (2020)
Kangjun Bai, Shiya Liu, Yang Yi
High speed and energy efficient deep neural network for edge computing. SEC (2019)
Kangjun Bai, Qiyuan An, Yang Yi
Deep-DFR: A Memristive Deep Delayed Feedback Reservoir Computing System with Hybrid Neural Network Topology. DAC (2019)
Jialing Li, Kangjun Bai, Lingjia Liu, Yang Yi
A deep learning based approach for analog hardware implementation of delayed feedback reservoir computing system. ISQED (2018)
Kangjun Bai, Yang Yi
DFR: An Energy-efficient Analog Delay Feedback Reservoir Computing System for Brain-inspired Computing. ACM J. Emerg. Technol. Comput. Syst. 14 (4) (2018)
Kangjun Bai, Yang Yi Bradley
A path to energy-efficient spiking delayed feedback reservoir computing system for brain-inspired neuromorphic processors. ISQED (2018)
Kangjun Bai, Jialing Li, Kian Hamedani, Yang Yi
Enabling a new era of brain-inspired computing: energy-efficient spiking neural network with ring topology. DAC (2018)
Hao Jiang, Weijie Zhu, Fu Luo, Kangjun Bai, Chenchen Liu, Xiaorong Zhang, J. Joshua Yang, Qiangfei Xia, Yiran Chen, Qing Wu
Cyclical sensing integrate-and-fire circuit for memristor array based neuromorphic computing. ISCAS (2016)