User profiles for Dongsuk Jeon
 | Dongsuk JeonSeoul National University Verified email at snu.ac.kr Cited by 1537 |
An injectable 64 nW ECG mixed-signal SoC in 65 nm for arrhythmia monitoring
A syringe-implantable electrocardiography (ECG) monitoring system is proposed. The noise
optimization and circuit techniques in the analog front-end (AFE) enable 31 nA current …
optimization and circuit techniques in the analog front-end (AFE) enable 31 nA current …
A 65-nm neuromorphic image classification processor with energy-efficient training through direct spike-only feedback
Recent advances in neural network (NN) and machine learning algorithms have sparked a
wide array of research in specialized hardware, ranging from high-performance NN …
wide array of research in specialized hardware, ranging from high-performance NN …
A super-pipelined energy efficient subthreshold 240 MS/s FFT core in 65 nm CMOS
This paper proposes a design approach targeting circuits operating at extremely low supply
voltages, with the goal of reducing the voltage at which energy is minimized, thereby …
voltages, with the goal of reducing the voltage at which energy is minimized, thereby …
A 23-mW face recognition processor with mostly-read 5T memory in 40-nm CMOS
This paper presents an energy-efficient face detection and recognition processor aimed at
mobile applications. The algorithmic optimizations including hybrid search scheme for face …
mobile applications. The algorithmic optimizations including hybrid search scheme for face …
7.6 A 65nm 236.5 nJ/classification neuromorphic processor with 7.5% energy overhead on-chip learning using direct spike-only feedback
Advances in neural network and machine learning algorithms have sparked a wide array of
research in specialized hardware, ranging from high-performance convolutional neural …
research in specialized hardware, ranging from high-performance convolutional neural …
DropBP: accelerating fine-tuning of large language models by dropping backward propagation
Large language models (LLMs) have achieved significant success across various domains.
However, training these LLMs typically involves substantial memory and computational …
However, training these LLMs typically involves substantial memory and computational …
24.3 An implantable 64nW ECG-monitoring mixed-signal SoC for arrhythmia diagnosis
Electrocardiography (ECG) is a critical source of information for a number of heart disorders.
In arrhythmia studies and treatment, long-term observation is critical to determine the nature …
In arrhythmia studies and treatment, long-term observation is critical to determine the nature …
Real-time denoising and dereverberation wtih tiny recurrent u-net
Modern deep learning-based models have seen outstanding performance improvement with
speech enhancement tasks. The number of parameters of state-of-the-art models, however, …
speech enhancement tasks. The number of parameters of state-of-the-art models, however, …
9.3 A 40nm 4.81 TFLOPS/W 8b floating-point training processor for non-sparse neural networks using shared exponent bias and 24-way fused multiply-add tree
Recent works on mobile deep-learning processors have presented designs that exploit
sparsity [2, 3], which is commonly found in various neural networks. However, due to the shift in …
sparsity [2, 3], which is commonly found in various neural networks. However, due to the shift in …
Enhancing reliability of analog neural network processors
Recently, analog and mixed-signal neural network processors have been extensively studied
due to their better energy efficiency and small footprint. However, analog computing is …
due to their better energy efficiency and small footprint. However, analog computing is …