Extension of Direct Feedback Alignment to Convolutional and Recurrent Neural Network for Bio-plausible Deep Learning. - Donghyeon Han; Gwangtae Park; Junha Ryu; Hoi-Jun Yoo (CoRR, 2020)

GANPU: An Energy-Efficient Multi-DNN Training Processor for GANs With Speculative Dual-Sparsity Exploitation. - Sanghoon Kang; Donghyeon Han; Juhyoung Lee; Dongseok Im; Sangyeob Kim; Soyeon Kim; Junha Ryu; Hoi-Jun Yoo (IEEE J. Solid State Circuits, 2021)

A 0.82 μW CIS-Based Action Recognition SoC With Self-Adjustable Frame Resolution for Always-on IoT Devices. - Junha Ryu; Gwangtae Park; Dongseok Im; Ji-Hoon Kim 004; Hoi-Jun Yoo (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

A Low-power and Real-time 3D Object Recognition Processor with Dense RGB-D Data Acquisition in Mobile Platforms. - Dongseok Im; Gwangtae Park; Junha Ryu; Zhiyong Li 016; Sanghoon Kang; Donghyeon Han; Jinsu Lee; Wonhoon Park; Hankyul Kwon; Hoi-Jun Yoo (COOL CHIPS, 2022)

DSPU: A 281.6mW Real-Time Deep Learning-Based Dense RGB-D Data Acquisition with Sensor Fusion and 3D Perception System-on-Chip. - Dongseok Im; Gwangtae Park; Zhiyong Li 016; Junha Ryu; Sanghoon Kang; Donghyeon Han; Jinsu Lee; Wonhoon Park; Hankyul Kwon; Hoi-Jun Yoo (HCS, 2022)

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. - Dongseok Im; Gwangtae Park; Zhiyong Li 016; Junha Ryu; Sanghoon Kang; Donghyeon Han; Jinsu Lee; Hoi-Jun Yoo (ISSCC, 2022)

Energy-efficient Dense DNN Acceleration with Signed Bit-slice Architecture. - Dongseok Im; Gwangtae Park; Zhiyong Li 016; Junha Ryu; Hoi-Jun Yoo (CoRR, 2022)

A 33.6 FPS Embedding based Real-time Neural Rendering Accelerator with Switchable Computation Skipping Architecture on Edge Device. - Jongjun Park; Donghyeon Han; Junha Ryu; Dongseok Im; Gwangtae Park; Hoi-Jun Yoo (A-SSCC, 2023)

A Low-power Neural 3D Rendering Processor with Bio-inspired Visual Perception Core and Hybrid DNN Acceleration. - Donghyeon Han; Junha Ryu; Sangyeob Kim; Sangjin Kim; Jongjun Park; Hoi-Jun Yoo (COOL CHIPS, 2023)

Sibia: Signed Bit-slice Architecture for Dense DNN Acceleration with Slice-level Sparsity Exploitation. - Dongseok Im; Gwangtae Park; Zhiyong Li 016; Junha Ryu; Hoi-Jun Yoo (HPCA, 2023)

A 15.9 mW 96.5 fps Memory-Efficient 3D Reconstruction Processor with Dilation-based TSDF Fusion and Block-Projection Cache System. - Hankyul Kwon; Gwangtae Park; Junha Ryu; Wooyoung Jo; Hoi-Jun Yoo (ISCAS, 2023)

A 5.99 TFLOPS/W Heterogeneous CIM-NPU Architecture for an Energy Efficient Floating-Point DNN Acceleration. - Wonhoon Park; Junha Ryu; Sangjin Kim; Soyeon Um; Wooyoung Jo; Sangyoeb Kim; Hoi-Jun Yoo (ISCAS, 2023)

MetaVRain: A 133mW Real-Time Hyper-Realistic 3D-NeRF Processor with 1D-2D Hybrid-Neural Engines for Metaverse on Mobile Devices. - Donghyeon Han; Junha Ryu; Sangyeob Kim; Sangjin Kim; Hoi-Jun Yoo (ISSCC, 2023)

DSPU: An Efficient Deep Learning-Based Dense RGB-D Data Acquisition With Sensor Fusion and 3-D Perception SoC. - Dongseok Im; Gwangtae Park; Junha Ryu; Zhiyong Li 016; Sanghoon Kang; Donghyeon Han; Jinsu Lee; Wonhoon Park; Hankyul Kwon; Hoi-Jun Yoo (IEEE J. Solid State Circuits, 2023)

A Mobile 3-D Object Recognition Processor With Deep-Learning-Based Monocular Depth Estimation. - Dongseok Im; Gwangtae Park; Zhiyong Li 016; Junha Ryu; Sanghoon Kang; Donghyeon Han; Jinsu Lee; Wonhoon Park; Hankyul Kwon; Hoi-Jun Yoo (IEEE Micro, 2023)

A Low-Power Neural Graphics System for Instant 3D Modeling and Real-Time Rendering on Mobile AR/VR Devices. - Junha Ryu; Hankyul Kwon; Wonhoon Park; Zhiyong Li 016; Beomseok Kwon; Donghyeon Han; Dongseok Im; Sangyeob Kim; Hyungnam Joo; Minsung Kim; Hoi-Jun Yoo (COOL CHIPS, 2024)

NeuGPU: A Neural Graphics Processing Unit for Instant Modeling and Real-Time Rendering on Mobile AR/VR Devices. - Junha Ryu; Hankyul Kwon; Wonhoon Park; Zhiyong Li 016; Beomseok Kwon; Donghyeon Han; Dongseok Im; Sangyeob Kim; Hyungnam Joo; Minsung Kim; Hoi-Jun Yoo (HCS, 2024)

20.7 NeuGPU: A 18.5mJ/Iter Neural-Graphics Processing Unit for Instant-Modeling and Real-Time Rendering with Segmented-Hashing Architecture. - Junha Ryu; Hankyul Kwon; Wonhoon Park; Zhiyong Li 016; Beomseok Kwon; Donghyeon Han; Dongseok Im; Sangyeob Kim; Hyungnam Joo; Hoi-Jun Yoo (ISSCC, 2024)

NeRF-Navi: A 93.6-202.9µJ/task Switchable Approximate-Accurate NeRF Path Planning Processor with Dual Attention Engine and Outlier Bit-Offloading Core. - Seryeong Kim; Seokchan Song; Wonhoon Park; Junha Ryu; Sangyeob Kim; Gwangtae Park; Soyeon Kim; Hoi-Jun Yoo (VLSI Technology and Circuits, 2024)

A Low-Power Artificial-Intelligence-Based 3-D Rendering Processor With Hybrid Deep Neural Network Computing. - Donghyeon Han; Junha Ryu; Sangyeob Kim; Sangjin Kim; Jongjun Park; Hoi-Jun Yoo (IEEE Micro, 2024)

MetaVRain: A Mobile Neural 3-D Rendering Processor With Bundle-Frame-Familiarity-Based NeRF Acceleration and Hybrid DNN Computing. - Donghyeon Han; Junha Ryu; Sangyeob Kim; Sangjin Kim; Jongjun Park; Hoi-Jun Yoo (IEEE J. Solid State Circuits, 2024)

A 8.81 TFLOPS/W Deep-Reinforcement-Learning Accelerator With Delta-Based Weight Sharing and Block-Mantissa Reconfigurable PE Array. - Sanghyuk An; Junha Ryu; Gwangtae Park; Hoi-Jun Yoo (IEEE Trans. Circuits Syst. II Express Briefs, 2024)

A 51.2 fps Real-Time 3DGS-SLAM Accelerator using Diagonal Feeding with Symmetric Alpha Reuse and Voxel-based 3D Gaussian Cache Management. - Hyungnam Joo; Seryeong Kim; Jongjun Park; Junha Ryu; Hoi-Jun Yoo (ISCAS, 2025)

A Real-time 4.31 mJ/Frame Neural-3DGS Processor with Voxel Similarity Memory Management and Opacity-based Sparsity Generation. - Hongseok Lee; Wonhoon Park; Sanghyuk An; Junha Ryu; Hoi-Jun Yoo (ISCAS, 2025)

A 2.67 mJ/frame Video Mamba Accelerator with Importance-aware Redundancy Elimination and SSM Computing Reformulation. - Youngjin Moon; Sangwoo Ha; Soyeon Kim; Junha Ryu; Hoi-Jun Yoo; Donghyeon Han (ISCAS, 2025)

NeuGPU: An Energy-Efficient Neural Graphics Processing Unit for Instant Modeling and Real-Time Rendering on Mobile Devices. - Junha Ryu; Hankyul Kwon; Wonhoon Park; Zhiyong Li 016; Beomseok Kwon; Donghyeon Han; Dongseok Im; Sangyeob Kim; Hyungnam Joo; Minsung Kim; Hoi-Jun Yoo (IEEE J. Solid State Circuits, 2025)

An Overview of Neural Rendering Accelerators: Challenges, Trends, and Future Directions. - Junha Ryu; Hoi-Jun Yoo (IEEE J. Emerg. Sel. Topics Circuits Syst., 2025)