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Injune Yeo
Injune Yeo
Postdoctoral Researcher, Arizona State University
在 asu.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Stuck-at-Fault Tolerant Schemes for Memristor Crossbar Array-Based Neural Networks
I Yeo, M Chu, SG Gi, H Hwang, BG Lee
IEEE Transactions on Electron Devices, 2019
542019
Digital versus analog artificial intelligence accelerators: Advances, trends, and emerging designs
J Seo, J Saikia, J Meng, W He, H Suh, Y Liao, A Hasssan, I Yeo
IEEE Solid-State Circuits Magazine 14 (3), 65-79, 2022
392022
A Learning‐Rate Modulable and Reliable TiOx Memristor Array for Robust, Fast, and Accurate Neuromorphic Computing
J Jang, S Gi, I Yeo, S Choi, S Jang, S Ham, B Lee, G Wang
Advanced Science, 2201117, 2022
392022
Temperature-resilient rram-based in-memory computing for dnn inference
J Meng, W Shim, L Yang, I Yeo, D Fan, S Yu, J Seo
IEEE Micro 42 (1), 89-98, 2021
192021
Stochastic implementation of the activation function for artificial neural networks
I Yeo, S Gi, B Lee, M Chu
2016 IEEE Biomedical Circuits and Systems Conference (BioCAS), 440-443, 2016
182016
Hybrid RRAM/SRAM in-memory computing for robust DNN acceleration
G Krishnan, Z Wang, I Yeo, L Yang, J Meng, M Liehr, RV Joshi, NC Cady, ...
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022
172022
A hardware and energy-efficient online learning neural network with an RRAM crossbar array and stochastic neurons
I Yeo, SG Gi, G Wang, BG Lee
IEEE Transactions on Industrial Electronics 68 (11), 11554-11564, 2020
172020
Digital foreground calibration of capacitor mismatch for SAR ADCs
I Yeo, B Kim, M Chu, B Lee
Electronics Letters 50 (20), 1423-1425, 2014
152014
A Power and Area Efficient CMOS Stochastic Neuron for Neural Networks Employing Resistive Crossbar Array
I Yeo, M Chu, B Lee
IEEE Transactions on Biomedical Circuits and Systems, 2019
132019
Fundamental issues of implementing hardware neural networks using memristor
S Gi, I Yeo, M Chu, S Kim, B Lee
2015 International SoC Design Conference (ISOCC), 215-216, 2015
132015
Improving the accuracy and robustness of rram-based in-memory computing against rram hardware noise and adversarial attacks
SK Cherupally, J Meng, AS Rakin, S Yin, I Yeo, S Yu, D Fan, JS Seo
Semiconductor Science and Technology 37 (3), 034001, 2022
92022
Modeling and system-level simulation for nonideal conductance response of synaptic devices
SG Gi, I Yeo, M Chu, K Moon, H Hwang, B Lee
IEEE Transactions on Electron Devices 65 (9), 3996-4003, 2018
62018
A Dynamic Power-Only Compute-In-Memory Macro With Power-of-Two Nonlinear SAR ADC for Non-Volatile Ferroelectric Capacitive Crossbar Array
I Yeo, W He, YC Luo, S Yu, J Seo
IEEE Solid-State Circuits Letters, 2024
52024
Improving the Efficiency of CMOS Image Sensors through In-Sensor Selective Attention
T Zhang, K Kasichainula, DW Jee, I Yeo, Y Zhuo, B Li, J Seo, Y Cao
2023 IEEE International Symposium on Circuits and Systems (ISCAS), 2023
52023
A 28-nm 8-bit Floating-Point Tensor Core-Based Programmable CNN Training Processor With Dynamic Structured Sparsity
SK Venkataramanaiah, J Meng, HS Suh, I Yeo, J Saikia, SK Cherupally, ...
IEEE Journal of Solid-State Circuits, 2023
52023
An event detection module with a low-power, small-size CMOS image sensor with reference scaling
C Park, WT Kim, IJ Yeo, M Jeon, B Lee
Analog Integrated Circuits and Signal Processing, 2019
52019
A 28nm 8-bit Floating-Point Tensor Core based CNN Training Processor with Dynamic Activation/Weight Sparsification
SK Venkataramanaiah, J Meng, HS Suh, I Yeo, J Saikia, SK Cherupally, ...
ESSCIRC 2022-IEEE 48th European Solid State Circuits Conference (ESSCIRC), 89-92, 2022
42022
Resistive memories stack up
I Yeo, J Seo
Nature Electronics, 2022
42022
FP-IMC: A 28nm All-Digital Configurable Floating-Point In-Memory Computing Macro
J Saikia, A Sridharan, I Yeo, S Venkataramanaiah, D Fan, JS Seo
ESSCIRC 2023-IEEE 49th European Solid State Circuits Conference (ESSCIRC …, 2023
32023
Sparse and Robust RRAM-based Efficient In-memory Computing for DNN Inference
J Meng, I Yeo, W Shim, L Yang, D Fan, S Yu, JS Seo
2022 IEEE International Reliability Physics Symposium (IRPS), 3C. 1-1-3C. 1-6, 2022
32022
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