Donghyeon Han

89 papers A 1C 6Journal 40Unranked 42
YearRankTypeTitle / Venue / Authors
2026 J jnl
A 60-GHz Low-Noise mmWave Divider-Less Fractional-N Cascaded PLL Achieving -250.2-dB FoM
IEEE J. Solid State Circuits
Jaehong Jung, Eunseok Lee, Donghyeon Han, Jinchen Wang, Anantha P. Chandrakasan, Ruonan Han
2026 J jnl
A Fully-Integrated Wireless Ingestible CMOS Drug-Delivery Chip With Electrochemical Energy Harvesting and pH-Adaptive MPPT for Personalized Therapeutics.
IEEE J. Solid State Circuits
So-Yoon Yang, Deniz Umut Yildirim, Saransh Sharma, Donghyeon Han, Rishabh Mittal, Husna T. Ellis, Jaehong Jung, Eunseok Lee, Yubin Cai, Giovanni Traverso, Anantha P. Chandrakasan
2026 J jnl
FlashMoE: Reducing SSD I/O Bottlenecks via ML-Based Cache Replacement for Mixture-of-Experts Inference on Edge Devices.
CoRR
Byeongju Kim, Jungwan Lee, Donghyeon Han, Hoi-Jun Yoo, Sangyeob Kim
2026 J jnl
Securing DNN Acceleration From Off-Chip Memory Vulnerabilities With Low-Overhead Authenticated Encryption.
IEEE Trans. Very Large Scale Integr. Syst.
Kyungmi Lee, Gaurab Das, Donghyeon Han, Anantha P. Chandrakasan
2025 C conf
A 13.8 TOPS/W Polynomial Implicit Neural Representation Accelerator with Tile Similarity Exploitation and LUT-based Matrix Multiplication Reformation.
ISCAS
Minsung Kim, Wonhoon Park, Sanghyuk An, Hoi-Jun Yoo, Donghyeon Han
2025 C conf
A 17.1 TOPS/W FP-INT Transformer Inference Accelerator with Sparsity Boosting and Output Importance-Aware Processing.
ISCAS
Jeonggyu So, Seongyon Hong, Jiwon Choi, Wooyoung Jo, Sangjin Kim, Hoi-Jun Yoo, Donghyeon Han
2025 C conf
A 2.67 mJ/frame Video Mamba Accelerator with Importance-aware Redundancy Elimination and SSM Computing Reformulation.
ISCAS
Youngjin Moon, Sangwoo Ha, Soyeon Kim, Junha Ryu, Hoi-Jun Yoo, Donghyeon Han
2025 J jnl
A 227.1 TOPS/W High Energy-Efficiency PNN-Based 3-D Object Recognition Processor With Spiking Neural Network for Edge Device.
IEEE Trans. Circuits Syst. II Express Briefs
Sangmyoung Lee, Seryeong Kim, Jongjun Park, Youngjin Moon, Minsung Kim, Junha Ryu, Hoi-Jun Yoo, Donghyeon Han
2025 — conf
A Fully-Integrated Wireless Ingestible Drug Delivery Chip with Electrochemical Energy Harvesting and pH-Based MPPT.
CICC
So-Yoon Yang, Deniz Umut Yildirim, Saransh Sharma, Donghyeon Han, Rishabh Mittal, Husna Ellis, Jaehong Jung, Eunseok Lee, Yubin Cai, Giovanni Traverso, Anantha P. Chandrakasan
2025 J jnl
A LiDAR-PNN Pipelined Processor With Cylindrical Bin Partitioning and Halo Indexing for 3-D Perception in Outdoor Autonomous Driving Applications.
IEEE J. Solid State Circuits
Bokyoung Seo, Jueun Jung, Donghyeon Han, Kyuho Jason Lee
2025 J jnl
A Mobile Semantic Lidar SLAM Processor With Artificial-Intelligence-Based 3-D Perception and Spatiotemporal-Aware Computing.
IEEE Micro
Jueun Jung, Seungbin Kim, Bokyoung Seo, Wuyoung Jang, Sangho Lee, Jeongmin Shin, Donghyeon Han, Kyuho Jason Lee
2025 J jnl
An Energy-Efficient Processor for Real-Time Semantic LiDAR SLAM in Mobile Robots.
IEEE J. Solid State Circuits
Jueun Jung, Seungbin Kim, Bokyoung Seo, Wuyoung Jang, Sangho Lee, Jeongmin Shin, Donghyeon Han, Kyuho Jason Lee
2025 — conf
MEGA.mini: A NPU with Novel Heterogeneous AI Processing Architecture Balancing Efficiency, Performance, and Intelligence for the Era of Generative AI.
HCS
Donghyeon Han, Anantha P. Chandrakasan
2025 — conf
MEGA.mini: A Universal Generative AI Processor with a New Big/Little Core Architecture for NPU.
ISSCC
Donghyeon Han, Anantha P. Chandrakasan
2025 J jnl
NeRF-Navi: An Energy-Efficient NeRF 3-D Path Planning Processor With Reconfigurable Approximate/Accurate Bit Offloading Core.
IEEE J. Solid State Circuits
Seryeong Kim, Seokchan Song, Wonhoon Park, Junha Ryu, Gwangtae Park, Sangyeob Kim, Soyeon Kim, Donghyeon Han, Hoi-Jun Yoo
2025 J jnl
NeuGPU: An Energy-Efficient Neural Graphics Processing Unit for Instant Modeling and Real-Time Rendering on Mobile Devices.
IEEE J. Solid State Circuits
Junha Ryu, Hankyul Kwon, Wonhoon Park, Zhiyong Li, Beomseok Kwon, Donghyeon Han, Dongseok Im, Sangyeob Kim, Hyungnam Joo, Minsung Kim, Hoi-Jun Yoo
2024 — conf
20.6 LSPU: A Fully Integrated Real-Time LiDAR-SLAM SoC with Point-Neural-Network Segmentation and Multi-Level kNN Acceleration.
ISSCC
Jueun Jung, Seungbin Kim, Bokyoung Seo, Wuyoung Jang, Sangho Lee, Jeongmin Shin, Donghyeon Han, Kyuho Jason Lee
2024 — conf
20.7 NeuGPU: A 18.5mJ/Iter Neural-Graphics Processing Unit for Instant-Modeling and Real-Time Rendering with Segmented-Hashing Architecture.
ISSCC
Junha Ryu, Hankyul Kwon, Wonhoon Park, Zhiyong Li, Beomseok Kwon, Donghyeon Han, Dongseok Im, Sangyeob Kim, Hyungnam Joo, Hoi-Jun Yoo
2024 — conf
20.8 Space-Mate: A 303.5mW Real-Time Sparse Mixture-of-Experts-Based NeRF-SLAM Processor for Mobile Spatial Computing.
ISSCC
Gwangtae Park, Seokchan Song, Haoyang Sang, Dongseok Im, Donghyeon Han, Sangyeob Kim, Hongseok Lee, Hoi-Jun Yoo
2024 C conf
A 422.1 Mpixels/J Tile-based 4K Super Resolution Processor with Variable Bit Compression.
ISCAS
Wuyoung Jang, Sangho Lee, Jinhoon Jo, Jueun Jung, Donghyeon Han, Kyuho Lee
2024 J jnl
A Low-Power Artificial-Intelligence-Based 3-D Rendering Processor With Hybrid Deep Neural Network Computing.
IEEE Micro
Donghyeon Han, Junha Ryu, Sangyeob Kim, Sangjin Kim, Jongjun Park, Hoi-Jun Yoo
2024 — conf
A Low-Power Neural Graphics System for Instant 3D Modeling and Real-Time Rendering on Mobile AR/VR Devices.
COOL CHIPS
Junha Ryu, Hankyul Kwon, Wonhoon Park, Zhiyong Li, Beomseok Kwon, Donghyeon Han, Dongseok Im, Sangyeob Kim, Hyungnam Joo, Minsung Kim, Hoi-Jun Yoo
2024 — conf
A Low-power and Real-time Neural-Rendering Dense SLAM Processor with 3-Level Hierarchical Sparsity Exploitation.
COOL CHIPS
Gwangtae Park, Seokchan Song, Haoyang Sang, Dongseok Im, Donghyeon Han, Sangyeob Kim, Hongseok Lee, Hoi-Jun Yoo
2024 — conf
A Low-power and Real-time Semantic LiDAR SLAM Processor with Point Neural Network Segmentation and kNN Acceleration for Mobile Robots.
COOL CHIPS
Jueun Jung, Seungbin Kim, Bokyoung Seo, Wuyoung Jang, Sangho Lee, Jeongmin Shin, Donghyeon Han, Kyuho Jason Lee
2024 J jnl
An Artificial-Intelligence-Based SLAM Processor With Scene-Adaptive Sampling and Hybrid NeRF Model Training Acceleration.
IEEE Trans. Circuits Syst. Artif. Intell.
Gwangtae Park, Seokchan Song, Haoyang Sang, Dongseok Im, Donghyeon Han, Sangyeob Kim, Hongseok Lee, Hoi-Jun Yoo
2024 A conf
An Energy-Efficient 3D Point Neural Network Accelerator with Fine-grained LiDAR-SoC Pipeline Structure.
ISLPED
Bokyoung Seo, Jueun Jung, Donghyeon Han, Kyuho Jason Lee
2024 J jnl
C-DNN: An Energy-Efficient Complementary Deep-Neural-Network Processor With Heterogeneous CNN/SNN Core Architecture.
IEEE J. Solid State Circuits
Sangyeob Kim, Soyeon Kim, Seongyon Hong, Sangjin Kim, Donghyeon Han, Jiwon Choi, Hoi-Jun Yoo
2024 J jnl
COOL-NPU: Complementary Online Learning Neural Processing Unit.
IEEE Micro
Sangyeob Kim, Soyeon Kim, Seongyon Hong, Sangjin Kim, Jiwon Choi, Donghyeon Han, Hoi-Jun Yoo
2024 J jnl
DynaPlasia: An eDRAM In-Memory Computing-Based Reconfigurable Spatial Accelerator With Triple-Mode Cell.
IEEE J. Solid State Circuits
Sangjin Kim, Zhiyong Li, Soyeon Um, Wooyoung Jo, Sangwoo Ha, Juhyoung Lee, Sangyeob Kim, Donghyeon Han, Hoi-Jun Yoo
2024 — conf
LPNA: A 2.75 ms Low-Latency and 0.40 uJ/point Energy-Efficient LiDAR Point-Cloud Neural Network Accelerator with Cylindrical Bin Partitioning.
A-SSCC
Bokyoung Seo, Jueun Jung, Donghyeon Han, Kyuho Jason Lee
2024 — conf
LSPU: A 20.7 ms Low-Latency Point Neural Network-Based 3D Perception and Semantic LiDAR SLAM System-on-Chip for Autonomous Driving System.
HCS
Jueun Jung, Seungbin Kim, Bokyoung Seo, Wuyoung Jang, Sangho Lee, Jeongmin Shin, Donghyeon Han, Kyuho Jason Lee
2024 J jnl
MetaVRain: A Mobile Neural 3-D Rendering Processor With Bundle-Frame-Familiarity-Based NeRF Acceleration and Hybrid DNN Computing.
IEEE J. Solid State Circuits
Donghyeon Han, Junha Ryu, Sangyeob Kim, Sangjin Kim, Jongjun Park, Hoi-Jun Yoo
2024 — conf
NeuGPU: A Neural Graphics Processing Unit for Instant Modeling and Real-Time Rendering on Mobile AR/VR Devices.
HCS
Junha Ryu, Hankyul Kwon, Wonhoon Park, Zhiyong Li, Beomseok Kwon, Donghyeon Han, Dongseok Im, Sangyeob Kim, Hyungnam Joo, Minsung Kim, Hoi-Jun Yoo
2024 — conf
Space-Mate: A 303.5mW Real-Time NeRF SLAM Processor with Sparse-Mixture-of-Experts-based Acceleration.
HCS
Seokchan Song, Haoyang Sang, Dongseok Im, Donghyeon Han, Sangyeob Kim, Hongseok Lee, Hoi-Jun Yoo
2023 — conf
A 33.6 FPS Embedding based Real-time Neural Rendering Accelerator with Switchable Computation Skipping Architecture on Edge Device.
A-SSCC
Jongjun Park, Donghyeon Han, Junha Ryu, Dongseok Im, Gwangtae Park, Hoi-Jun Yoo
2023 — conf
A Low-power Neural 3D Rendering Processor with Bio-inspired Visual Perception Core and Hybrid DNN Acceleration.
COOL CHIPS
Donghyeon Han, Junha Ryu, Sangyeob Kim, Sangjin Kim, Jongjun Park, Hoi-Jun Yoo
2023 J jnl
A Mobile 3-D Object Recognition Processor With Deep-Learning-Based Monocular Depth Estimation.
IEEE Micro
Dongseok Im, Gwangtae Park, Zhiyong Li, Junha Ryu, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Wonhoon Park, Hankyul Kwon, Hoi-Jun Yoo
2023 J jnl
An Efficient Deep-Learning-Based Super-Resolution Accelerating SoC With Heterogeneous Accelerating and Hierarchical Cache.
IEEE J. Solid State Circuits
Zhiyong Li, Sangjin Kim, Dongseok Im, Donghyeon Han, Hoi-Jun Yoo
2023 — conf
C-DNN: A 24.5-85.8TOPS/W Complementary-Deep-Neural-Network Processor with Heterogeneous CNN/SNN Core Architecture and Forward-Gradient-Based Sparsity Generation.
ISSCC
Sangyeob Kim, Soyeon Kim, Seongyon Hong, Sangjin Kim, Donghyeon Han, Hoi-Jun Yoo
2023 — conf
COOL-NPU: Complementary Online Learning Neural Processing Unit with CNN-SNN Heterogeneous Core and Event-driven Backpropagation.
COOL CHIPS
Sangyeob Kim, Soyeon Kim, Seongyon Hong, Sangjin Kim, Donghyeon Han, Jiwon Choi, Hoi-Jun Yoo
2023 J jnl
DSPU: An Efficient Deep Learning-Based Dense RGB-D Data Acquisition With Sensor Fusion and 3-D Perception SoC.
IEEE J. Solid State Circuits
Dongseok Im, Gwangtae Park, Junha Ryu, Zhiyong Li, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Wonhoon Park, Hankyul Kwon, Hoi-Jun Yoo
2023 — conf
DynaPlasia: An eDRAM In-Memory-Computing-Based Reconfigurable Spatial Accelerator with Triple-Mode Cell for Dynamic Resource Switching.
ISSCC
Sangjin Kim, Zhiyong Li, Soyeon Um, Wooyoung Jo, Sangwoo Ha, Juhyoung Lee, Sangyeob Kim, Donghyeon Han, Hoi-Jun Yoo
2023 — conf
GPPU: A 330.4-μJ/ task Neural Path Planning Processor with Hybrid GNN Acceleration for Autonomous 3D Navigation.
VLSI Technology and Circuits
Seokchan Song, Donghyeon Han, Sangjin Kim, Sangyeob Kim, Gwangtae Park, Hoi-Jun Yoo
2023 — conf
MetaVRain: A 133mW Real-Time Hyper-Realistic 3D-NeRF Processor with 1D-2D Hybrid-Neural Engines for Metaverse on Mobile Devices.
ISSCC
Donghyeon Han, Junha Ryu, Sangyeob Kim, Sangjin Kim, Hoi-Jun Yoo
2023 — conf
NeRPIM: A 4.2 mJ/frame Neural Rendering Processing-in-memory Processor with Space Encoding Block-wise Mapping for Mobile Devices.
VLSI Technology and Circuits
Wooyoung Jo, Sangjin Kim, Juhyoung Lee, Donghyeon Han, Sangyeob Kim, Seungyoon Choi, Hoi-Jun Yoo
2022 — conf
A 0.95 mJ/frame DNN Training Processor for Robust Object Detection with Real-World Environmental Adaptation.
AICAS
Donghyeon Han, Dongseok Im, Gwangtae Park, Youngwoo Kim, Seokchan Song, Juhyoung Lee, Hoi-Jun Yoo
2022 J jnl
A 36.2 dB High SNR and PVT/Leakage-Robust eDRAM Computing-In-Memory Macro With Segmented BL and Reference Cell Array.
IEEE Trans. Circuits Syst. II Express Briefs
Sangwoo Ha, Sangjin Kim, Donghyeon Han, Soyeon Um, Hoi-Jun Yoo
2022 J jnl
A 49.5 mW Multi-Scale Linear Quantized Online Learning Processor for Real-Time Adaptive Object Detection.
IEEE Trans. Circuits Syst. II Express Briefs
Seokchan Song, Soyeon Kim, Gwangtae Park, Donghyeon Han, Hoi-Jun Yoo
2022 — conf
A DNN Training Processor for Robust Object Detection with Real-World Environmental Adaptation.
AICAS
Donghyeon Han, Dongseok Im, Gwangtae Park, Youngwoo Kim, Seokchan Song, Juhyoung Lee, Hoi-Jun Yoo
2022 — conf
A Low-power and Real-time 3D Object Recognition Processor with Dense RGB-D Data Acquisition in Mobile Platforms.
COOL CHIPS
Dongseok Im, Gwangtae Park, Junha Ryu, Zhiyong Li, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Wonhoon Park, Hankyul Kwon, Hoi-Jun Yoo
2022 J jnl
A Mobile DNN Training Processor With Automatic Bit Precision Search and Fine-Grained Sparsity Exploitation.
IEEE Micro
Donghyeon Han, Dongseok Im, Gwangtae Park, Youngwoo Kim, Seokchan Song, Juhyoung Lee, Hoi-Jun Yoo
2022 J jnl
A Pipelined Point Cloud Based Neural Network Processor for 3-D Vision With Large-Scale Max Pooling Layer Prediction.
IEEE J. Solid State Circuits
Dongseok Im, Donghyeon Han, Sanghoon Kang, Hoi-Jun Yoo
2022 — conf
An 0.92 mJ/frame High-quality FHD Super-resolution Mobile Accelerator SoC with Hybrid-precision and Energy-efficient Cache.
CICC
Zhiyong Li, Sangjin Kim, Dongseok Im, Donghyeon Han, Hoi-Jun Yoo
2022 — conf
An Efficient High-quality FHD Super-resolution Mobile Accelerator SoC with Hybrid-precision and Energy-efficient Cache.
HCS
Zhiyong Li, Sangjin Kim, Dongseok Im, Donghyeon Han, Hoi-Jun Yoo
2022 — conf
DSPU: A 281.6mW Real-Time Deep Learning-Based Dense RGB-D Data Acquisition with Sensor Fusion and 3D Perception System-on-Chip.
HCS
Dongseok Im, Gwangtae Park, Zhiyong Li, Junha Ryu, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Wonhoon Park, Hankyul Kwon, Hoi-Jun Yoo
2022 — conf
DSPU: A 281.6mW Real-Time Depth Signal Processing Unit for Deep Learning-Based Dense RGB-D Data Acquisition with Depth Fusion and 3D Bounding Box Extraction in Mobile Platforms.
ISSCC
Dongseok Im, Gwangtae Park, Zhiyong Li, Junha Ryu, Sanghoon Kang, Donghyeon Han, Jinsu Lee, Hoi-Jun Yoo
2022 — conf
HNPU-V2: A 46.6 FPS DNN Training Processor for Real-World Environmental Adaptation based Robust Object Detection on Mobile Devices.
HCS
Donghyeon Han, Dongseok Im, Gwangtae Park, Youngwoo Kim, Seokchan Song, Juhyoung Lee, Hoi-Jun Yoo
2022 J jnl
OmniDRL: An Energy-Efficient Deep Reinforcement Learning Processor With Dual-Mode Weight Compression and Sparse Weight Transposer.
IEEE J. Solid State Circuits
Juhyoung Lee, Sangyeob Kim, Sangjin Kim, Wooyoung Jo, Ji-Hoon Kim, Donghyeon Han, Hoi-Jun Yoo
2022 J jnl
TSUNAMI: Triple Sparsity-Aware Ultra Energy-Efficient Neural Network Training Accelerator With Multi-Modal Iterative Pruning.
IEEE Trans. Circuits Syst. I Regul. Pap.
Sangyeob Kim, Juhyoung Lee, Sanghoon Kang, Donghyeon Han, Wooyoung Jo, Hoi-Jun Yoo
2021 J jnl
A 64.1mW Accurate Real-Time Visual Object Tracking Processor With Spatial Early Stopping on Siamese Network.
IEEE Trans. Circuits Syst. II Express Briefs
Soyeon Kim, Sangjin Kim, Sangyeob Kim, Donghyeon Han, Hoi-Jun Yoo
2021 — conf
An Energy-Efficient Deep Neural Network Training Processor with Bit-Slice-Level Reconfigurability and Sparsity Exploitation.
COOL CHIPS
Donghyeon Han, Dongseok Im, Gwangtae Park, Youngwoo Kim, Seokchan Song, Juhyoung Lee, Hoi-Jun Yoo
2021 J jnl
An Energy-Efficient GAN Accelerator With On-Chip Training for Domain-Specific Optimization.
IEEE J. Solid State Circuits
Soyeon Kim, Sanghoon Kang, Donghyeon Han, Sangjin Kim, Sangyeob Kim, Hoi-Jun Yoo
2021 — conf
An Energy-efficient Floating-Point DNN Processor using Heterogeneous Computing Architecture with Exponent-Computing-in-Memory.
HCS
Juhyoung Lee, Jihoon Kim, Wooyoung Jo, Sangyeob Kim, Sangjin Kim, Donghyeon Han, Jinsu Lee, Hoi-Jun Yoo
2021 J jnl
An Overview of Sparsity Exploitation in CNNs for On-Device Intelligence With Software-Hardware Cross-Layer Optimizations.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Sanghoon Kang, Gwangtae Park, Sangjin Kim, Soyeon Kim, Donghyeon Han, Hoi-Jun Yoo
2021 J jnl
DF-LNPU: A Pipelined Direct Feedback Alignment-Based Deep Neural Network Learning Processor for Fast Online Learning.
IEEE J. Solid State Circuits
Donghyeon Han, Jinsu Lee, Hoi-Jun Yoo
2021 — conf
Energy-Efficient Deep Reinforcement Learning Accelerator Designs for Mobile Autonomous Systems.
AICAS
Juhyoung Lee, Changhyeon Kim, Donghyeon Han, Sangyeob Kim, Sangjin Kim, Hoi-Jun Yoo
2021 — conf
FlashMAC: An Energy-Efficient Analog-Digital Hybrid MAC with Variable Latency-Aware Scheduling.
A-SSCC
Surin Gweon, Sanghoon Kang, Donghyeon Han, Kyoung-Rog Lee, Kwantae Kim, Hoi-Jun Yoo
2021 J jnl
GANPU: An Energy-Efficient Multi-DNN Training Processor for GANs With Speculative Dual-Sparsity Exploitation.
IEEE J. Solid State Circuits
Sanghoon Kang, Donghyeon Han, Juhyoung Lee, Dongseok Im, Sangyeob Kim, Soyeon Kim, Junha Ryu, Hoi-Jun Yoo
2021 J jnl
HNPU: An Adaptive DNN Training Processor Utilizing Stochastic Dynamic Fixed-Point and Active Bit-Precision Searching.
IEEE J. Solid State Circuits
Donghyeon Han, Dongseok Im, Gwangtae Park, Youngwoo Kim, Seokchan Song, Juhyoung Lee, Hoi-Jun Yoo
2021 — conf
OmniDRL: A 29.3 TFLOPS/W Deep Reinforcement Learning Processor with Dualmode Weight Compression and On-chip Sparse Weight Transposer.
VLSI Circuits
Juhyoung Lee, Sangyeob Kim, Sangjin Kim, Wooyoung Jo, Donghyeon Han, Jinsu Lee, Hoi-Jun Yoo
2021 — conf
OmniDRL: An Energy-Efficient Mobile Deep Reinforcement Learning Accelerators with Dual-mode Weight Compression and Direct Processing of Compressed Data.
HCS
Juhyoung Lee, Sangyeob Kim, Ji-Hoon Kim, Sangjin Kim, Wooyoung Jo, Donghyeon Han, Hoi-Jun Yoo
2020 — conf
7.4 GANPU: A 135TFLOPS/W Multi-DNN Training Processor for GANs with Speculative Dual-Sparsity Exploitation.
ISSCC
Sanghoon Kang, Donghyeon Han, Juhyoung Lee, Dongseok Im, Sangyeob Kim, Soyeon Kim, Hoi-Jun Yoo
2020 J jnl
A 0.22-0.89 mW Low-Power and Highly-Secure Always-On Face Recognition Processor With Adversarial Attack Prevention.
IEEE Trans. Circuits Syst. II Express Briefs
Youngwoo Kim, Donghyeon Han, Changhyeon Kim, Hoi-Jun Yoo
2020 J jnl
A 1.15 TOPS/W Energy-Efficient Capsule Network Accelerator for Real-Time 3D Point Cloud Segmentation in Mobile Environment.
IEEE Trans. Circuits Syst. II Express Briefs
Gwangtae Park, Dongseok Im, Donghyeon Han, Hoi-Jun Yoo
2020 — conf
A 4.45 ms Low-Latency 3D Point-Cloud-Based Neural Network Processor for Hand Pose Estimation in Immersive Wearable Devices.
VLSI Circuits
Dongseok Im, Sanghoon Kang, Donghyeon Han, Sungpill Choi, Hoi-Jun Yoo
2020 — conf
An Energy-Efficient GAN Accelerator with On-chip Training for Domain Specific Optimization.
A-SSCC
Soyeon Kim, Sanghoon Kang, Donghyeon Han, Sangyeob Kim, Sangjin Kim, Hoi-Jun Yoo
2020 J jnl
DT-CNN: An Energy-Efficient Dilated and Transposed Convolutional Neural Network Processor for Region of Interest Based Image Segmentation.
IEEE Trans. Circuits Syst.
Dongseok Im, Donghyeon Han, Sungpill Choi, Sanghoon Kang, Hoi-Jun Yoo
2020 J jnl
Extension of Direct Feedback Alignment to Convolutional and Recurrent Neural Network for Bio-plausible Deep Learning.
CoRR
Donghyeon Han, Gwangtae Park, Junha Ryu, Hoi-Jun Yoo
2020 J jnl
The Hardware and Algorithm Co-Design for Energy-Efficient DNN Processor on Edge/Mobile Devices.
IEEE Trans. Circuits Syst.
Jinsu Lee, Sanghoon Kang, Jinmook Lee, Dongjoo Shin, Donghyeon Han, Hoi-Jun Yoo
2019 — conf
A 1.32 TOPS/W Energy Efficient Deep Neural Network Learning Processor with Direct Feedback Alignment based Heterogeneous Core Architecture.
VLSI Circuits
Donghyeon Han, Jinsu Lee, Jinmook Lee, Hoi-Jun Yoo
2019 J jnl
A Low-Power Deep Neural Network Online Learning Processor for Real-Time Object Tracking Application.
IEEE Trans. Circuits Syst. I Regul. Pap.
Donghyeon Han, Jinsu Lee, Jinmook Lee, Hoi-Jun Yoo
2019 J jnl
CNNP-v2: A Memory-Centric Architecture for Low-Power CNN Processor on Domain-Specific Mobile Devices.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Sungpill Choi, Kyeongryeol Bong, Donghyeon Han, Hoi-Jun Yoo
2019 — conf
CNNP-v2: An Energy Efficient Memory-Centric Convolutional Neural Network Processor Architecture.
AICAS
Sungpill Choi, Kyeongryeol Bong, Donghyeon Han, Hoi-Jun Yoo
2019 C conf
DT-CNN: Dilated and Transposed Convolution Neural Network Accelerator for Real-Time Image Segmentation on Mobile Devices.
ISCAS
Dongseok Im, Donghyeon Han, Sungpill Choi, Sanghoon Kang, Hoi-Jun Yoo
2019 — conf
Direct Feedback Alignment Based Convolutional Neural Network Training for Low-Power Online Learning Processor.
ICCV Workshops
Donghyeon Han, Hoi-Jun Yoo
2019 J jnl
Efficient Convolutional Neural Network Training with Direct Feedback Alignment.
CoRR
Donghyeon Han, Hoi-Jun Yoo
2019 — conf
LNPU: A 25.3TFLOPS/W Sparse Deep-Neural-Network Learning Processor with Fine-Grained Mixed Precision of FP8-FP16.
ISSCC
Jinsu Lee, Juhyoung Lee, Donghyeon Han, Jinmook Lee, Gwangtae Park, Hoi-Jun Yoo
2018 C conf
A 141.4 mW Low-Power Online Deep Neural Network Training Processor for Real-time Object Tracking in Mobile Devices.
ISCAS
Donghyeon Han, Jinsu Lee, Jinmook Lee, Sungpill Choi, Hoi-Jun Yoo
2018 J jnl
A Low-Power Convolutional Neural Network Face Recognition Processor and a CIS Integrated With Always-on Face Detector.
IEEE J. Solid State Circuits
Kyeongryeol Bong, Sungpill Choi, Changhyeon Kim, Donghyeon Han, Hoi-Jun Yoo