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

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)

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

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

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)