Donghyeon Han - Citegraph

Author Info

Name	Affiliation	Papers
DONGHYEON HAN	School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea	25
Collaborators	Citations	PageRank
43	39	10.66
Referers	Referees	References
151	229	25

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100229

Publications (25 rows)

Collaborators (43 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
A 49.5 mW Multi-Scale Linear Quantized Online Learning Processor for Real-Time Adaptive Object Detection	0	0.34	2022
A 36.2 dB High SNR and PVT/Leakage-Robust eDRAM Computing-In-Memory Macro With Segmented BL and Reference Cell Array	0	0.34	2022
An Energy-Efficient GAN Accelerator With On-Chip Training for Domain-Specific Optimization	1	0.35	2021
An Energy-efficient Floating-Point DNN Processor using Heterogeneous Computing Architecture with Exponent-Computing-in-Memory	0	0.34	2021
GANPU: An Energy-Efficient Multi-DNN Training Processor for GANs With Speculative Dual-Sparsity Exploitation	1	0.38	2021
An Energy-Efficient Deep Neural Network Training Processor with Bit-Slice-Level Reconfigurability and Sparsity Exploitation	0	0.34	2021
DF-LNPU: A Pipelined Direct Feedback Alignment-Based Deep Neural Network Learning Processor for Fast Online Learning	1	0.38	2021
OmniDRL - A 29.3 TFLOPS/W Deep Reinforcement Learning Processor with Dualmode Weight Compression and On-chip Sparse Weight Transposer.	0	0.34	2021
A 64.1mW Accurate Real-Time Visual Object Tracking Processor With Spatial Early Stopping on Siamese Network	0	0.34	2021
OmniDRL: An Energy-Efficient Mobile Deep Reinforcement Learning Accelerators with Dual-mode Weight Compression and Direct Processing of Compressed Data	0	0.34	2021
HNPU: An Adaptive DNN Training Processor Utilizing Stochastic Dynamic Fixed-Point and Active Bit-Precision Searching	7	0.71	2021
Energy-Efficient Deep Reinforcement Learning Accelerator Designs for Mobile Autonomous Systems	0	0.34	2021
The Hardware and Algorithm Co-Design for Energy-Efficient DNN Processor on Edge/Mobile Devices	3	0.41	2020
A 4.45 ms Low-Latency 3D Point-Cloud-Based Neural Network Processor for Hand Pose Estimation in Immersive Wearable Devices	1	0.63	2020
A 0.22–0.89 mW Low-Power and Highly-Secure Always-On Face Recognition Processor With Adversarial Attack Prevention	0	0.34	2020
7.4 GANPU: A 135TFLOPS/W Multi-DNN Training Processor for GANs with Speculative Dual-Sparsity Exploitation	2	0.39	2020
DT-CNN: An Energy-Efficient Dilated and Transposed Convolutional Neural Network Processor for Region of Interest Based Image Segmentation	1	0.39	2020
A 1.15 TOPS/W Energy-Efficient Capsule Network Accelerator for Real-Time 3D Point Cloud Segmentation in Mobile Environment	0	0.34	2020
A 1.32 Tops/W Energy Efficient Deep Neural Network Learning Processor With Direct Feedback Alignment Based Heterogeneous Core Architecture	0	0.34	2019
CNNP-v2:An Energy Efficient Memory-Centric Convolutional Neural Network Processor Architecture	1	0.37	2019
7.7 LNPU: A 25.3TFLOPS/W Sparse Deep-Neural-Network Learning Processor with Fine-Grained Mixed Precision of FP8-FP16	13	1.35	2019
Efficient Convolutional Neural Network Training with Direct Feedback Alignment.	0	0.34	2019
A Low-Power Deep Neural Network Online Learning Processor for Real-Time Object Tracking Application.	2	0.39	2019
CNNP-v2: A Memory-Centric Architecture for Low-Power CNN Processor on Domain-Specific Mobile Devices	0	0.34	2019
A Low-Power Convolutional Neural Network Face Recognition Processor and a CIS Integrated With Always-on Face Detector.	6	0.53	2018