Nano-Intrinsic True Random Number Generation. - Jeeson Kim; Taimur Ahmed; Hussein Nili; Nhan Duy Truong; Jiawei Yang; Doo Seok Jeong; Sharath Sriram; Damith Chinthana Ranasinghe; Omid Kavehei (CoRR, 2017)

Pointer Based Routing Scheme for On-chip Learning in Neuromorphic Systems. - Vladimir Kornijcuk; Doo Seok Jeong (IJCNN, 2018)

A Physical Unclonable Function With Redox-Based Nanoionic Resistive Memory. - Jeeson Kim; Taimur Ahmed; Hussein Nili; Jiawei Yang; Doo Seok Jeong; Paul Beckett; Sharath Sriram; Damith Chinthana Ranasinghe; Omid Kavehei (IEEE Trans. Inf. Forensics Secur., 2018)

Stochastic Learning with Back Propagation. - Guhyun Kim; Cheol Seong Hwang; Doo Seok Jeong (ISCAS, 2019)

Combination-Encoding Content-Addressable Memory With High Content Density. - Guhyun Kim; Vladimir Kornijcuk; Jeeson Kim; Dohun Kim; Cheol Seong Hwang; Doo Seok Jeong (IEEE Access, 2019)

Markov Chain Hebbian Learning Algorithm With Ternary Synaptic Units. - Guhyun Kim; Vladimir Kornijcuk; Dohun Kim; Inho Kim; Jaewook Kim; Hyo Cheon Woo; Ji-Hun Kim; Cheol Seong Hwang; Doo Seok Jeong (IEEE Access, 2019)

Recent Progress in Real-Time Adaptable Digital Neuromorphic Hardware. - Vladimir Kornijcuk; Doo Seok Jeong (Adv. Intell. Syst., 2019)

Nano-Intrinsic True Random Number Generation: A Device to Data Study. - Jeeson Kim; Hussein Nili; Nhan Duy Truong; Taimur Ahmed; Jiawei Yang; Doo Seok Jeong; Sharath Sriram; Damith Chinthana Ranasinghe; Samuel James Ippolito; Hosung Chun; Omid Kavehei (IEEE Trans. Circuits Syst. I Regul. Pap., 2019)

FPGA implementation of sequence-to-sequence predicting spiking neural networks. - Changmin Ye; Vladimir Kornijcuk; Jeeson Kim; Doo Seok Jeong (ISOCC, 2020)

TS-EFA: Resource-efficient High-precision Approximation of Exponential Functions Based on Template-scaling Method. - Jeeson Kim; Vladimir Kornijcuk; Doo Seok Jeong (ISQED, 2020)

SPSNN: nth Order Sequence-Predicting Spiking Neural Network. - Dohun Kim; Vladimir Kornijcuk; Cheol Seong Hwang; Doo Seok Jeong (IEEE Access, 2020)

Optimal Distribution of Spiking Neurons Over Multicore Neuromorphic Processors. - Guhyun Kim; Vladimir Kornijcuk; Jeeson Kim; Cheol Seong Hwang; Doo Seok Jeong (IEEE Access, 2020)

Simplified calcium signaling cascade for synaptic plasticity. - Vladimir Kornijcuk; Dohun Kim; Guhyun Kim; Doo Seok Jeong (Neural Networks, 2020)

CBP: backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method. - Guhyun Kim; Doo Seok Jeong (NeurIPS, 2021)

eWB: Event-Based Weight Binarization Algorithm for Spiking Neural Networks. - Dohun Kim; Guhyun Kim; Cheol Seong Hwang; Doo Seok Jeong (IEEE Access, 2021)

Hardware-Efficient Emulation of Leaky Integrate-and-Fire Model Using Template-Scaling-Based Exponential Function Approximation. - Jeeson Kim; Vladimir Kornijcuk; Changmin Ye; Doo Seok Jeong (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

DTS-SNN: Spiking Neural Networks With Dynamic Time-Surfaces. - Donghyung Yoo; Doo Seok Jeong (IEEE Access, 2022)

LaCERA: Layer-centric event-routing architecture. - Changmin Ye; Vladimir Kornijcuk; Donghyung Yoo; Jeeson Kim; Doo Seok Jeong (Neurocomputing, 2023)

Optimal Weight-Splitting in Resistive Random Access Memory-Based Computing-in-Memory Macros. - Choongseok Song; Jeeson Kim; Doo Seok Jeong (Adv. Intell. Syst., 2023)

Training Spiking Neural Networks Using Lessons From Deep Learning. - Jason K. Eshraghian; Max Ward 001; Emre O. Neftci; Xinxin Wang 002; Gregor Lenz; Girish Dwivedi; Mohammed Bennamoun; Doo Seok Jeong; Wei D. Lu (Proc. IEEE, 2023)

GEBA: Gradient-Error-Based Approximation of Activation Functions. - Changmin Ye; Doo Seok Jeong (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

CBP-QSNN: Spiking Neural Networks Quantized Using Constrained Backpropagation. - Donghyung Yoo; Doo Seok Jeong (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

Optimal data distribution in FeFET-based computing-in-memory macros. - Yonguk Sim; Choongseok Song; Eun Chan Park; Jongwook Jeon; Daewoong Kwon; Doo Seok Jeong (ISCAS, 2024)

IterNorm: Fast Iterative Normalization. - Changmin Ye; Yonguk Sim; Youngchae Kim; SeongMin Jin; Doo Seok Jeong (CoRR, 2024)

Hardware for Deep Learning Acceleration. - Choongseok Song; Changmin Ye; Yonguk Sim; Doo Seok Jeong (Adv. Intell. Syst., 2024)

IterL2Norm: Fast Iterative L2-Normalization. - Changmin Ye; Yonguk Sim; Youngchae Kim; SeongMin Jin; Doo Seok Jeong (DATE, 2025)

Optimal strategy for mapping spiking neural networks onto manycore neuromorphic processors. - Changmin Ye; Doo Seok Jeong (ISCAS, 2025)