Donghyeon Han

发表

A Low-Power Deep Neural Network Online Learning Processor for Real-Time Object Tracking Application

Hoi-Jun Yoo, Jinmook Lee, Jinsu Lee, 2019, IEEE Transactions on Circuits and Systems I: Regular Papers.

A 1.15 TOPS/W Energy-Efficient Capsule Network Accelerator for Real-Time 3D Point Cloud Segmentation in Mobile Environment

Hoi-Jun Yoo, Donghyeon Han, Gwangtae Park, 2020, IEEE Transactions on Circuits and Systems II: Express Briefs.

An Energy-Efficient Sparse Deep-Neural-Network Learning Accelerator With Fine-Grained Mixed Precision of FP8–FP16

Hoi-Jun Yoo, Jinmook Lee, Jinsu Lee, 2019, IEEE Solid-State Circuits Letters.

7.4 GANPU: A 135TFLOPS/W Multi-DNN Training Processor for GANs with Speculative Dual-Sparsity Exploitation

Hoi-Jun Yoo, Donghyeon Han, Soyeon Kim, 2020, 2020 IEEE International Solid- State Circuits Conference - (ISSCC).

CNNP-v2: A Memory-Centric Architecture for Low-Power CNN Processor on Domain-Specific Mobile Devices

Hoi-Jun Yoo, Donghyeon Han, Kyeongryeol Bong, 2019, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

A 141.4 mW Low-Power Online Deep Neural Network Training Processor for Real-time Object Tracking in Mobile Devices

Hoi-Jun Yoo, Jinmook Lee, Sungpill Choi, 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).

A Low-Power Convolutional Neural Network Face Recognition Processor and a CIS Integrated With Always-on Face Detector

Hoi-Jun Yoo, Kyeongryeol Bong, Sungpill Choi, 2018, IEEE Journal of Solid-State Circuits.

The Hardware and Algorithm Co-Design for Energy-Efficient DNN Processor on Edge/Mobile Devices

Hoi-Jun Yoo, Dongjoo Shin, Jinmook Lee, 2020, IEEE Transactions on Circuits and Systems I: Regular Papers.

A 1.32 TOPS/W Energy Efficient Deep Neural Network Learning Processor with Direct Feedback Alignment based Heterogeneous Core Architecture

Hoi-Jun Yoo, Jinmook Lee, Jinsu Lee, 2019, 2019 Symposium on VLSI Circuits.

A 4.45 ms Low-Latency 3D Point-Cloud-Based Neural Network Processor for Hand Pose Estimation in Immersive Wearable Devices

Hoi-Jun Yoo, Donghyeon Han, Sanghoon Kang, 2020, 2020 IEEE Symposium on VLSI Circuits.

DT-CNN: An Energy-Efficient Dilated and Transposed Convolutional Neural Network Processor for Region of Interest Based Image Segmentation

Hoi-Jun Yoo, Donghyeon Han, Sang Hoon Kang, 2020, IEEE Transactions on Circuits and Systems I: Regular Papers.

DT-CNN: Dilated and Transposed Convolution Neural Network Accelerator for Real-Time Image Segmentation on Mobile Devices

Hoi-Jun Yoo, Sungpill Choi, Donghyeon Han, 2019, 2019 IEEE International Symposium on Circuits and Systems (ISCAS).

Extension of Direct Feedback Alignment to Convolutional and Recurrent Neural Network for Bio-plausible Deep Learning pdf

Donghyeon Han, Gwangtae Park, Junha Ryu, 2020, ArXiv.

7.7 LNPU: A 25.3TFLOPS/W Sparse Deep-Neural-Network Learning Processor with Fine-Grained Mixed Precision of FP8-FP16

Hoi-Jun Yoo, Jinmook Lee, Donghyeon Han, 2019, 2019 IEEE International Solid- State Circuits Conference - (ISSCC).

Direct Feedback Alignment Based Convolutional Neural Network Training for Low-Power Online Learning Processor

Hoi-Jun Yoo, Donghyeon Han, H. Yoo, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

A 1.02-μW STT-MRAM-Based DNN ECG Arrhythmia Monitoring SoC With Leakage-Based Delay MAC Unit

Hongsik Jeong, Hoi-Jun Yoo, Changhyeon Kim, 2020, IEEE Solid-State Circuits Letters.

Efficient Convolutional Neural Network Training with Direct Feedback Alignment pdf

Hoi-Jun Yoo, Donghyeon Han, H. Yoo, 2019, ArXiv.

CNNP-v2:An Energy Efficient Memory-Centric Convolutional Neural Network Processor Architecture

Hoi-Jun Yoo, Donghyeon Han, Kyeongryeol Bong, 2019, 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS).

A 0.22–0.89 mW Low-Power and Highly-Secure Always-On Face Recognition Processor With Adversarial Attack Prevention

Youngwoo Kim, Hoi-Jun Yoo, Changhyeon Kim, 2020, IEEE Transactions on Circuits and Systems II: Express Briefs.

A 64.1mW Accurate Real-Time Visual Object Tracking Processor With Spatial Early Stopping on Siamese Network

Hoi-Jun Yoo, Donghyeon Han, Sangyeob Kim, 2021, IEEE Transactions on Circuits and Systems II: Express Briefs.

DF-LNPU: A Pipelined Direct Feedback Alignment-Based Deep Neural Network Learning Processor for Fast Online Learning

Hoi-Jun Yoo, Donghyeon Han, Jinsu Lee, 2021, IEEE Journal of Solid-State Circuits.

Energy-Efficient Deep Reinforcement Learning Accelerator Designs for Mobile Autonomous Systems

Hoi-Jun Yoo, Changhyeon Kim, Donghyeon Han, 2021, 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS).

An Energy-Efficient Deep Neural Network Training Processor with Bit-Slice-Level Reconfigurability and Sparsity Exploitation

Hoi-Jun Yoo, Donghyeon Han, Gwangtae Park, 2021, 2021 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS).

HNPU: An Adaptive DNN Training Processor Utilizing Stochastic Dynamic Fixed-Point and Active Bit-Precision Searching

Hoi-Jun Yoo, Donghyeon Han, Gwangtae Park, 2021, IEEE Journal of Solid-State Circuits.