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2020 – today
- 2024
[j17]Choongseok Song
, Changmin Ye, Yonguk Sim, Doo Seok Jeong:
Hardware for Deep Learning Acceleration. Adv. Intell. Syst. 6(10) (2024)- [c6]Yonguk Sim, Choongseok Song, Eun Chan Park, Jongwook Jeon, Daewoong Kwon, Doo Seok Jeong:
Optimal data distribution in FeFET-based computing-in-memory macros. ISCAS 2024: 1-5 - [i7]Changmin Ye, Yonguk Sim, Youngchae Kim, SeongMin Jin, Doo Seok Jeong:
IterNorm: Fast Iterative Normalization. CoRR abs/2412.04778 (2024) - 2023
- [j16]Choongseok Song, Jeeson Kim, Doo Seok Jeong:
Optimal Weight-Splitting in Resistive Random Access Memory-Based Computing-in-Memory Macros. Adv. Intell. Syst. 5(1) (2023) - [j15]Changmin Ye, Doo Seok Jeong:
GEBA: Gradient-Error-Based Approximation of Activation Functions. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(4): 1106-1113 (2023) - [j14]Donghyung Yoo, Doo Seok Jeong:
CBP-QSNN: Spiking Neural Networks Quantized Using Constrained Backpropagation. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(4): 1137-1146 (2023) - [j13]Changmin Ye, Vladimir Kornijcuk, Donghyung Yoo, Jeeson Kim, Doo Seok Jeong:
LaCERA: Layer-centric event-routing architecture. Neurocomputing 520: 46-59 (2023) - [j12]Jason K. Eshraghian, Max Ward, Emre O. Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei D. Lu:
Training Spiking Neural Networks Using Lessons From Deep Learning. Proc. IEEE 111(9): 1016-1054 (2023) - 2022
- [j11]Donghyung Yoo, Doo Seok Jeong:
DTS-SNN: Spiking Neural Networks With Dynamic Time-Surfaces. IEEE Access 10: 102659-102668 (2022) - 2021
- [j10]Dohun Kim, Guhyun Kim, Cheol Seong Hwang, Doo Seok Jeong:
eWB: Event-Based Weight Binarization Algorithm for Spiking Neural Networks. IEEE Access 9: 38097-38106 (2021) - [j9]Jeeson Kim, Vladimir Kornijcuk, Changmin Ye, Doo Seok Jeong:
Hardware-Efficient Emulation of Leaky Integrate-and-Fire Model Using Template-Scaling-Based Exponential Function Approximation. IEEE Trans. Circuits Syst. I Regul. Pap. 68(1): 350-362 (2021) - [c5]Guhyun Kim, Doo Seok Jeong:
CBP: backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method. NeurIPS 2021: 28274-28285 - [i6]Jason Kamran Eshraghian, Max Ward, Emre Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei D. Lu:
Training Spiking Neural Networks Using Lessons From Deep Learning. CoRR abs/2109.12894 (2021) - [i5]Guhyun Kim, Doo Seok Jeong:
CBP: Backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method. CoRR abs/2110.02550 (2021) - 2020
- [j8]Guhyun Kim, Vladimir Kornijcuk, Jeeson Kim, Cheol Seong Hwang, Doo Seok Jeong:
Optimal Distribution of Spiking Neurons Over Multicore Neuromorphic Processors. IEEE Access 8: 69426-69437 (2020) - [j7]Dohun Kim, Vladimir Kornijcuk, Cheol Seong Hwang, Doo Seok Jeong:
SPSNN: nth Order Sequence-Predicting Spiking Neural Network. IEEE Access 8: 110523-110534 (2020) - [j6]Vladimir Kornijcuk, Dohun Kim, Guhyun Kim, Doo Seok Jeong:
Simplified calcium signaling cascade for synaptic plasticity. Neural Networks 123: 38-51 (2020) - [c4]Changmin Ye, Vladimir Kornijcuk, Jeeson Kim, Doo Seok Jeong:
FPGA implementation of sequence-to-sequence predicting spiking neural networks. ISOCC 2020: 322-323 - [c3]Jeeson Kim, Vladimir Kornijcuk, Doo Seok Jeong:
TS-EFA: Resource-efficient High-precision Approximation of Exponential Functions Based on Template-scaling Method. ISQED 2020: 358-363
2010 – 2019
- 2019
- [j5]Guhyun Kim, Vladimir Kornijcuk, Dohun Kim, Inho Kim, Jaewook Kim, Hyo Cheon Woo, Ji-Hun Kim, Cheol Seong Hwang, Doo Seok Jeong:
Markov Chain Hebbian Learning Algorithm With Ternary Synaptic Units. IEEE Access 7: 10208-10223 (2019) - [j4]Guhyun Kim, Vladimir Kornijcuk, Jeeson Kim, Dohun Kim, Cheol Seong Hwang, Doo Seok Jeong:
Combination-Encoding Content-Addressable Memory With High Content Density. IEEE Access 7: 137620-137628 (2019) - [j3]Vladimir Kornijcuk, Doo Seok Jeong:
Recent Progress in Real-Time Adaptable Digital Neuromorphic Hardware. Adv. Intell. Syst. 1(6): 1900030 (2019) - [j2]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:
Nano-Intrinsic True Random Number Generation: A Device to Data Study. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(7): 2615-2626 (2019) - [c2]Guhyun Kim, Cheol Seong Hwang, Doo Seok Jeong:
Stochastic Learning with Back Propagation. ISCAS 2019: 1-5 - [i4]Vladimir Kornijcuk, Dohun Kim, Guhyun Kim, Doo Seok Jeong:
Simplified calcium signaling cascade for synaptic plasticity. CoRR abs/1911.11326 (2019) - 2018
- [j1]Jeeson Kim, Taimur Ahmed, Hussein Nili, Jiawei Yang, Doo Seok Jeong, Paul Beckett, Sharath Sriram, Damith Chinthana Ranasinghe, Omid Kavehei:
A Physical Unclonable Function With Redox-Based Nanoionic Resistive Memory. IEEE Trans. Inf. Forensics Secur. 13(2): 437-448 (2018) - [c1]Vladimir Kornijcuk, Doo Seok Jeong:
Pointer Based Routing Scheme for On-chip Learning in Neuromorphic Systems. IJCNN 2018: 1-6 - 2017
- [i3]Jeeson Kim, Taimur Ahmed, Hussein Nili, Nhan Duy Truong, Jiawei Yang, Doo Seok Jeong, Sharath Sriram, Damith Chinthana Ranasinghe, Omid Kavehei:
Nano-Intrinsic True Random Number Generation. CoRR abs/1701.06020 (2017) - [i2]Guhyun Kim, Vladimir Kornijcuk, Dohun Kim, Inho Kim, Jaewook Kim, Hyo Cheon Woo, Ji-Hun Kim, Cheol Seong Hwang, Doo Seok Jeong:
Markov chain Hebbian learning algorithm with ternary synaptic units. CoRR abs/1711.08679 (2017) - 2016
- [i1]Jeeson Kim, Taimur Ahmed, Hussein Nili, Jiawei Yang, Doo Seok Jeong, Paul Beckett, Sharath Sriram, Damith Chinthana Ranasinghe, Omid Kavehei:
A Physical Unclonable Function with Redox-based Nanoionic Resistive Memory. CoRR abs/1611.04665 (2016)
Coauthor Index
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