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2020 – today
- 2024
[c16]Kang Jun Bai, Hao Jiang, Zhuwei Qin, Clare Thiem:
Temporal-encoded 6T-RRAM with Bidirectional Control for Future Neuromorphic Systems. ISQED 2024: 1-6- [c15]Kang Jun Bai, Hao Jiang:
Compute-in-Memory with 6T-RRAM Memristive Circuit for Next-Gen Neuromorphic Hardware. NICE 2024: 1-5 - 2023
- [j8]Honghao Zheng
, Kang Jun Bai, Yang Yi:
Enabling a New Methodology of Neural Coding: Multiplexing Temporal Encoding in Neuromorphic Computing. IEEE Trans. Very Large Scale Integr. Syst. 31(3): 331-342 (2023) - [c14]Kangjun Bai, Daniel Titcombe, Jack Lombardi, Clare Thiem, Nathaniel C. Cady:
Moving Towards Game-Changing Technology: Fabrication and Application of HfO2 RRAM for In-Memory Computing. ISQED 2023: 1-7 - 2022
- [j7]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): 175-180 (2022) - [c13]Kang Jun Bai, Yang Yi:
Diagnosing Clinical Diseases using an Edge-Enabled Deep Learning Technology. SEC 2022: 521-525 - 2021
- [b1]Kang Jun Bai:
Moving Toward Intelligence: A Hybrid Neural Computing Architecture for Machine Intelligence Applications. Virginia Tech, Blacksburg, VA, USA, 2021 - [j6]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): 2850-2862 (2021) - [c12]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: 1-9 - [c11]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: 154-159 - [c10]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: 204-209 - [c9]Hongyu An, Kangjun Bai, Yang Yi:
Three-dimensional Memristive Deep Neural Network with Programmable Attention Mechanism. ISQED 2021: 210-215 - [i1]Zhou Zhou, Kangjun Bai, Nima Mohammadi, Yang Yi, Lingjia Liu:
Making Intelligent Reflecting Surfaces More Intelligent: A Roadmap Through Reservoir Computing. CoRR abs/2102.03688 (2021) - 2020
- [j5]Qiyuan An, Kangjun Bai, Lingjia Liu, Fangyang Shen, Yang Yi:
A unified information perceptron using deep reservoir computing. Comput. Electr. Eng. 85: 106705 (2020) - [j4]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): 253-263 (2020) - [j3]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 67-II(10): 1715-1719 (2020) - [j2]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): 62-75 (2020) - [c8]Kangjun Bai, Lingjia Liu, Zhou Zhou, Yang Yi:
Detection Through Deep Neural Networks: A Reservoir Computing Approach for MIMO-OFDM Symbol Detection. ICCAD 2020: 30:1-30:7 - [c7]Qiyuan An, Kangjun Bai, Moqi Zhang, Yang Yi, Yifang Liu:
Deep Neural Network Based Speech Recognition Systems Under Noise Perturbations. ISQED 2020: 377-382
2010 – 2019
- 2019
- [c6]Kangjun Bai, Qiyuan An, Yang Yi:
Deep-DFR: A Memristive Deep Delayed Feedback Reservoir Computing System with Hybrid Neural Network Topology. DAC 2019: 54 - [c5]Kangjun Bai, Shiya Liu, Yang Yi:
High speed and energy efficient deep neural network for edge computing. SEC 2019: 347-349 - 2018
- [j1]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): 45:1-45:22 (2018) - [c4]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: 166:1-166:6 - [c3]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: 308-313 - [c2]Kangjun Bai, Yang Yi Bradley:
A path to energy-efficient spiking delayed feedback reservoir computing system for brain-inspired neuromorphic processors. ISQED 2018: 322-328 - 2016
- [c1]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: 930-933
Coauthor Index
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