Area-efficient one-cycle correction scheme for timing errors in flip-flop based pipelines. - Jongeun Koo; Eunwoo Song; Eunhyeok Park; Dongyoung Kim; Junki Park; Sungju Ryu; Sungjoo Yoo; Jae-Joon Kim (A-SSCC, 2016)

Low design overhead timing error correction scheme for elastic clock methodology. - Sungju Ryu; Jongeun Koo; Jae-Joon Kim (ISLPED, 2017)

Structure of insertion property by powers. - Jeoung Soo Cheon; Hai-Lan Jin; Da Woon Jung 002; Hong Kee Kim; Yang Lee; Sangwon Park; Sungju Ryu; Yeonsook Seo (Int. J. Algebra Comput., 2018)

Configurable BCAM/TCAM Based on 6T SRAM Bit Cell and Enhanced Match Line Clamping. - Jongeun Koo; Eunhwan Kim; Seunghyun Yoo; Taesu Kim; Sungju Ryu; Jae-Joon Kim (A-SSCC, 2019)

Area-Efficient Transposable 6T SRAM for Fast Online Learning in Neuromorphic Processors. - Jongeun Koo; Jinseok Kim 004; Sungju Ryu; Chulsoo Kim; Jae-Joon Kim (CICC, 2019)

BitBlade: Area and Energy-Efficient Precision-Scalable Neural Network Accelerator with Bitwise Summation. - Sungju Ryu; Hyungjun Kim; Wooseok Yi; Jae-Joon Kim (DAC, 2019)

BitSplit-Net: Multi-bit Deep Neural Network with Bitwise Activation Function. - Hyungjun Kim; Yulhwa Kim; Sungju Ryu; Jae-Joon Kim (CoRR, 2019)

Low-overhead, one-cycle timing-error detection and correction technique for flip-flop based pipelines. - Jongeun Koo; Eunhyeok Park; Dongyoung Kim; Junki Park; Sungju Ryu; Sungjoo Yoo; Jae-Joon Kim (IEICE Electron. Express, 2019)

Feedforward-Cutset-Free Pipelined Multiply-Accumulate Unit for the Machine Learning Accelerator. - Sungju Ryu; Naebeom Park; Jae-Joon Kim (IEEE Trans. Very Large Scale Integr. Syst., 2019)

A 44.1TOPS/W Precision-Scalable Accelerator for Quantized Neural Networks in 28nm CMOS. - Sungju Ryu; Hyungjun Kim; Wooseok Yi; Jongeun Koo; Eunhwan Kim; Yulhwa Kim; Taesu Kim; Jae-Joon Kim (CICC, 2020)

Algorithm/Hardware Co-Design for In-Memory Neural Network Computing with Minimal Peripheral Circuit Overhead. - Hyungjun Kim; Yulhwa Kim; Sungju Ryu; Jae-Joon Kim (DAC, 2020)

SPRITE: Sparsity-Aware Neural Processing Unit with Constant Probability of Index-Matching. - Sungju Ryu; Youngtaek Oh; Taesu Kim; Daehyun Ahn; Jae-Joon Kim (DATE, 2021)

Mobileware: A High-Performance MobileNet Accelerator with Channel Stationary Dataflow. - Sungju Ryu; Youngtaek Oh; Jae-Joon Kim (ICCAD, 2021)

Variation-Tolerant Elastic Clock Scheme for Low-Voltage Operations. - Sungju Ryu; Jongeun Koo; Wook Kim; Yonghwan Kim; Jae-Joon Kim (IEEE J. Solid State Circuits, 2021)

High-throughput Near-Memory Processing on CNNs with 3D HBM-like Memory. - Naebeom Park; Sungju Ryu; Jaeha Kung; Jae-Joon Kim (ACM Trans. Design Autom. Electr. Syst., 2021)

BitBlade: Energy-Efficient Variable Bit-Precision Hardware Accelerator for Quantized Neural Networks. - Sungju Ryu; Hyungjun Kim; Wooseok Yi; Eunhwan Kim; Yulhwa Kim; Taesu Kim; Jae-Joon Kim (IEEE J. Solid State Circuits, 2022)

Teleport: A High-Performance ShiftNet Hardware Accelerator with Fused Layer Computation. - Hyunmin Kim; Sungju Ryu (ISLPED, 2023)

Area-efficient AdderNet hardware accelerator with merged adder tree structure. - Gwanghwi Seo; Sungju Ryu (IEICE Electron. Express, 2023)

Binaryware: A High-Performance Digital Hardware Accelerator for Binary Neural Networks. - Sungju Ryu; Youngtaek Oh; Jae-Joon Kim (IEEE Trans. Very Large Scale Integr. Syst., 2023)

NexusCIM: High-Throughput Multi-CIM Array Architecture with C-Mesh NoC and Hub Cores. - Hyunmin Kim; Sungju Ryu (ICCD, 2024)

Statues: Energy-Efficient Video Object Detection on Edge Security Devices with Computational Skipping. - Yeonggeon Kim; Hyunmin Kim; Sungju Ryu (ISLPED, 2024)

TRIO-TCAM: An Area and Energy-Efficient Triple-State-in-Cell Ternary Content-Addressable Memory Architecture. - Thanh-Dat Nguyen; Sungju Ryu; Ik-Joon Chang (IEEE Access, 2024)

Mobileware: Distributed Architecture With Channel Stationary Dataflow for MobileNet Acceleration. - Sungju Ryu; Jaeyong Jang; Youngtaek Oh; Jae-Joon Kim (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Thanos: Energy-Efficient Keyword Spotting Processor with Hybrid Time-Feature-Frequency-Domain Zero-Skipping. - Sangyeon Kim; Hyunmin Kim; Sungju Ryu (DATE, 2025)

SpecBoost: Accelerating Tiled Sparse Matrix Multiplication via Dataflow Speculation. - Gwanghwi Seo; Sungju Ryu (IEEE Access, 2025)