Injune Yeo
Arizona State University
H-index: 9
North America-United States
Top articles of Injune Yeo
Corrections to “A Dynamic Power-Only Compute-in-Memory Macro With Power-of-Two Nonlinear SAR ADC for Nonvolatile Ferroelectric Capacitive Crossbar Array”
IEEE Solid-State Circuits Letters
2024/3/21
3D In-Sensor Computing for Real-Time DVS Data Compression: 65nm Hardware-Algorithm Co-Design
IEEE Solid-State Circuits Letters
2024/3/8
A Dynamic Power-Only Compute-In-Memory Macro With Power-of-Two Nonlinear SAR ADC for Non-Volatile Ferroelectric Capacitive Crossbar Array
IEEE Solid-State Circuits Letters
2024/2/1
3D-ISC: A 65nm 3D Compatible In-Sensor Computing Accelerator with Reconfigurable Tile Architecture for Real-Time DVS Data Compression
2023/11/5
FP-IMC: A 28nm All-Digital Configurable Floating-Point In-Memory Computing Macro
2023/9/11
A Time-Memory-based CMOS Vision Sensor with In-Pixel Temporal Derivative Computing for Multi-Mode Image Processing
2023/9/11
A 65nm RRAM Compute-in-Memory Macro for Genome Sequencing Alignment
2023/9/11
Improving the Efficiency of CMOS Image Sensors through In-Sensor Selective Attention
2023/5/21
A 28-nm 8-bit Floating-Point Tensor Core-Based Programmable CNN Training Processor With Dynamic Structured Sparsity
IEEE Journal of Solid-State Circuits
2023/5/15
A 92 F2 / bit Physically Unclonable Function Exploiting Channel Charge Injection and Mismatch Accumulation
2023/4/23
IMC architecture for robust DNN acceleration
2022/10/25
A 28nm 8-bit Floating-Point Tensor Core based CNN Training Processor with Dynamic Activation/Weight Sparsification
2022/9/19
Digital versus analog artificial intelligence accelerators: Advances, trends, and emerging designs
IEEE Solid-State Circuits Magazine
2022/8/22
Hybrid RRAM/SRAM in-memory computing for robust DNN acceleration
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
2022/8/9
A Learning‐Rate Modulable and Reliable TiOx Memristor Array for Robust, Fast, and Accurate Neuromorphic Computing
Advanced Science
2022/8
Sparse and Robust RRAM-based Efficient In-memory Computing for DNN Inference
2022/3/27
Improving the accuracy and robustness of rram-based in-memory computing against rram hardware noise and adversarial attacks
Semiconductor Science and Technology
2022/1/13
Temperature-resilient rram-based in-memory computing for dnn inference
IEEE Micro
2021/12/13
A hardware and energy-efficient online learning neural network with an RRAM crossbar array and stochastic neurons
IEEE Transactions on Industrial Electronics
2020/10/27
Injune Yeo
H-Index: 4
