Junha Ryu

32 papers A* 1C 5Journal 14Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
An Energy-Efficient High Resolution Vision Transformer Processor Exploiting Token Similarity Beyond Token Merging.
IEEE Trans. Very Large Scale Integr. Syst.
Jungjun Oh, Sangjin Kim, Jiwon Choi, Junha Ryu, Byeongcheol Kim, Yuseon Choi, Hoi-Jun Yoo
2026 — conf
SMoLPU: 122.1µJ/Token Sparse MoE-Based Speculative Decoding Language Processing Unit with Adaptive-Offload NPU-CIM Core.
ISSCC
Sangwoo Ha, Jingu Lee, Youngjin Moon, Sunjoo Whang, Wooyoung Jo, Gwangtae Park, Sangjin Kim, Soyeon Um, Junha Ryu, Yurim Jo, Hoi-Jun Yoo
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 C conf
A 51.2 fps Real-Time 3DGS-SLAM Accelerator using Diagonal Feeding with Symmetric Alpha Reuse and Voxel-based 3D Gaussian Cache Management.
ISCAS
Hyungnam Joo, Seryeong Kim, Jongjun Park, Junha Ryu, Hoi-Jun Yoo
2025 — conf
A Real-Time 3DGS-SLAM with Voxel-based Memory Management and Region of Interest-based Pixel-wise Skipping Architecture on Edge Device.
AICAS
Hyungnam Joo, Junha Ryu, Seryeong Kim, Jongjun Park, Hoi-Jun Yoo
2025 C conf
A Real-time 4.31 mJ/Frame Neural-3DGS Processor with Voxel Similarity Memory Management and Opacity-based Sparsity Generation.
ISCAS
Hongseok Lee, Wonhoon Park, Sanghyuk An, Junha Ryu, Hoi-Jun Yoo
2025 J jnl
An Overview of Neural Rendering Accelerators: Challenges, Trends, and Future Directions.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Junha Ryu, Hoi-Jun Yoo
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
20.7 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 J jnl
A 8.81 TFLOPS/W Deep-Reinforcement-Learning Accelerator With Delta-Based Weight Sharing and Block-Mantissa Reconfigurable PE Array.
IEEE Trans. Circuits Syst. II Express Briefs
Sanghyuk An, Junha Ryu, Gwangtae Park, Hoi-Jun Yoo
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 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
NeRF-Navi: A 93.6-202.9µJ/task Switchable Approximate-Accurate NeRF Path Planning Processor with Dual Attention Engine and Outlier Bit-Offloading Core.
VLSI Technology and Circuits
Seryeong Kim, Seokchan Song, Wonhoon Park, Junha Ryu, Sangyeob Kim, Gwangtae Park, Soyeon Kim, 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
2023 C conf
A 15.9 mW 96.5 fps Memory-Efficient 3D Reconstruction Processor with Dilation-based TSDF Fusion and Block-Projection Cache System.
ISCAS
Hankyul Kwon, Gwangtae Park, Junha Ryu, Wooyoung Jo, 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 C conf
A 5.99 TFLOPS/W Heterogeneous CIM-NPU Architecture for an Energy Efficient Floating-Point DNN Acceleration.
ISCAS
Wonhoon Park, Junha Ryu, Sangjin Kim, Soyeon Um, Wooyoung Jo, Sangyoeb Kim, 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
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
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 A* conf
Sibia: Signed Bit-slice Architecture for Dense DNN Acceleration with Slice-level Sparsity Exploitation.
HPCA
Dongseok Im, Gwangtae Park, Zhiyong Li, Junha Ryu, 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 — 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 J jnl
Energy-efficient Dense DNN Acceleration with Signed Bit-slice Architecture.
CoRR
Dongseok Im, Gwangtae Park, Zhiyong Li, Junha Ryu, Hoi-Jun Yoo
2021 J jnl
A 0.82 μW CIS-Based Action Recognition SoC With Self-Adjustable Frame Resolution for Always-on IoT Devices.
IEEE Trans. Circuits Syst. II Express Briefs
Junha Ryu, Gwangtae Park, Dongseok Im, Ji-Hoon 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
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