Cyclical sensing integrate-and-fire circuit for memristor array based neuromorphic computing. - Hao Jiang 014; Weijie Zhu; Fu Luo; Kangjun Bai; Chenchen Liu; Xiaorong Zhang; J. Joshua Yang; Qiangfei Xia; Yiran Chen 001; Qing Wu 002 (ISCAS, 2016)

Enabling a new era of brain-inspired computing: energy-efficient spiking neural network with ring topology. - Kangjun Bai; Jialing Li; Kian Hamedani; Yang Yi 002 (DAC, 2018)

A path to energy-efficient spiking delayed feedback reservoir computing system for brain-inspired neuromorphic processors. - Kangjun Bai; Yang Yi Bradley (ISQED, 2018)

A deep learning based approach for analog hardware implementation of delayed feedback reservoir computing system. - Jialing Li; Kangjun Bai; Lingjia Liu 001; Yang Yi 002 (ISQED, 2018)

DFR: An Energy-efficient Analog Delay Feedback Reservoir Computing System for Brain-inspired Computing. - Kangjun Bai; Yang Yi 002 (ACM J. Emerg. Technol. Comput. Syst., 2018)

Deep-DFR: A Memristive Deep Delayed Feedback Reservoir Computing System with Hybrid Neural Network Topology. - Kangjun Bai; Qiyuan An; Yang Yi 002 (DAC, 2019)

High speed and energy efficient deep neural network for edge computing. - Kangjun Bai; Shiya Liu; Yang Yi 002 (SEC, 2019)

Detection Through Deep Neural Networks: A Reservoir Computing Approach for MIMO-OFDM Symbol Detection. - Kangjun Bai; Lingjia Liu 001; Zhou Zhou 002; Yang Yi 002 (ICCAD, 2020)

Deep Neural Network Based Speech Recognition Systems Under Noise Perturbations. - Qiyuan An; Kangjun Bai; Moqi Zhang; Yang Yi 002; Yifang Liu (ISQED, 2020)

A unified information perceptron using deep reservoir computing. - Qiyuan An; Kangjun Bai; Lingjia Liu 001; Fangyang Shen; Yang Yi 002 (Comput. Electr. Eng., 2020)

Moving Toward Intelligence: Detecting Symbols on 5G Systems Through Deep Echo State Network. - Kangjun Bai; Yang Yi 002; Zhou Zhou 002; Shashank Jere; Lingjia Liu 001 (IEEE J. Emerg. Sel. Topics Circuits 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 001; Yang Yi 002 (IEEE Trans. Circuits Syst. II Express Briefs, 2020)

A Training-Efficient Hybrid-Structured Deep Neural Network With Reconfigurable Memristive Synapses. - Kangjun Bai; Qiyuan An; Lingjia Liu 001; Yang Yi 002 (IEEE Trans. Very Large Scale Integr. Syst., 2020)

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 001; Yang Yi 002 (ICCAD, 2021)

Three-dimensional Memristive Deep Neural Network with Programmable Attention Mechanism. - Hongyu An; Kangjun Bai; Yang Yi 002 (ISQED, 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 002 (ISQED, 2021)

Low-power Analog and Mixed-signal IC Design of Multiplexing Neural Encoder in Neuromorphic Computing. - Honghao Zheng; Nima Mohammadi; Kangjun Bai; Yang Yi 002 (ISQED, 2021)

Spatial-Temporal Hybrid Neural Network With Computing-in-Memory Architecture. - Kangjun Bai; Lingjia Liu 001; Yang Yi 002 (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Moving Toward Intelligence: A Hybrid Neural Computing Architecture for Machine Intelligence Applications. - Kang Jun Bai (2021)

Diagnosing Clinical Diseases using an Edge-Enabled Deep Learning Technology. - Kang Jun Bai; Yang Yi 002 (SEC, 2022)

Making Intelligent Reflecting Surfaces More Intelligent: A Roadmap Through Reservoir Computing. - Zhou Zhou 002; Kangjun Bai; Nima Mohammadi; Yang Yi 002; Lingjia Liu 001 (IEEE Netw., 2022)

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 (ISQED, 2023)

Enabling a New Methodology of Neural Coding: Multiplexing Temporal Encoding in Neuromorphic Computing. - Honghao Zheng; Kang Jun Bai; Yang Yi 002 (IEEE Trans. Very Large Scale Integr. Syst., 2023)

Temporal-encoded 6T-RRAM with Bidirectional Control for Future Neuromorphic Systems. - Kang Jun Bai; Hao Jiang 014; Zhuwei Qin; Clare Thiem (ISQED, 2024)

Compute-in-Memory with 6T-RRAM Memristive Circuit for Next-Gen Neuromorphic Hardware. - Kang Jun Bai; Hao Jiang 014 (NICE, 2024)

Compressed CNN for Inferring Rapid RF Fingerprints Using Memristor Crossbar Array. - Josh Li; Jianbin Huang; Michael B. Jiang; Kang Jun Bai (ISQED, 2025)