Multi-level Weight Indexing Scheme for Memory-Reduced Convolutional Neural Network. - Jongmin Park; Seungsik Moon; Younghoon Byun; Sunggu Lee; Youngjoo Lee (AICAS, 2019)

FPGA-Based Sparsity-Aware CNN Accelerator for Noise-Resilient Edge-Level Image Recognition. - Seungsik Moon; Hyunhoon Lee; Younghoon Byun; Jongmin Park; Junseo Joe; Seokha Hwang; Sunggu Lee; Youngjoo Lee (A-SSCC, 2019)

WMixNet: An Energy-Scalable and Computationally Lightweight Deep Learning Accelerator. - Sangwoo Jung; Seungsik Moon; Youngjoo Lee; Jaeha Kung (ISLPED, 2019)

Massive MIMO Systems With Low-Resolution ADCs: Baseband Energy Consumption vs. Symbol Detection Performance. - Seungsik Moon; In-Soo Kim; Dongyun Kam; Dong-Woo Jee; Junil Choi; Youngjoo Lee (IEEE Access, 2019)

Memory-Reduced Network Stacking for Edge-Level CNN Architecture With Structured Weight Pruning. - Seungsik Moon; Younghoon Byun; Jongmin Park; Sunggu Lee; Youngjoo Lee (IEEE J. Emerg. Sel. Topics Circuits Syst., 2019)

Energy-Efficient Symmetric BC-BCH Decoder Architecture for Mobile Storages. - Seokha Hwang; Seungsik Moon; Jaehwan Jung; Daesung Kim; In-Cheol Park; Jeongseok Ha; Youngjoo Lee (IEEE Trans. Circuits Syst. I Regul. Pap., 2019)

Rapid Balise Telegram Decoder With Modified LFSR Architecture for Train Protection Systems. - Seungsik Moon; Sungsoo Park; Jae-Ho Lee; Youngjoo Lee (IEEE Trans. Circuits Syst. II Express Briefs, 2019)

Energy-Efficient Precoding Architecture for Multi-User MIMO Systems. - Seungsik Moon; Deokhwan Han; Namyoon Lee; Youngjoo Lee (ACSSC, 2020)

Low-Latency Unfolded-KES Architecture for Emerging Storage Class Memories. - Seungsik Moon; Jeongwon Choe; Youngjoo Lee (IEEE Trans. Circuits Syst. I Regul. Pap., 2020)

Low-Complexity Voice Activity Detection Algorithm for Edge-Level Device. - Jin Hyun; Seungsik Moon; Youngjoo Lee (ISOCC, 2021)

Layerwise Buffer Voltage Scaling for Energy-Efficient Convolutional Neural Network. - Minho Ha; Younghoon Byun; Seungsik Moon; Youngjoo Lee; Sunggu Lee (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

A Study On Reliable High-Speed HBC Enhanced by ECC for Wearable Neural Interfaces. - Seungsik Moon; Jaehyun Ko 001; Byungsub Kim; Youngjoo Lee (AICAS, 2022)

A 2.86Gb/s Fully-Flexible MU-MIMO Processor for Jointly Optimizing User Selection, Power Allocation, and Precoding in 28nm CMOS Technology. - Seungsik Moon; Namyoon Lee; Youngjoo Lee (CICC, 2022)

Hardware Analysis of Channel Estimation Method for IRS-Aided MIMO Wireless Systems. - Jiwon Kim; Seungsik Moon; Youngjoo Lee (ISOCC, 2022)

Low-Complexity Beamforming Optimization for IRS-Aided MU-MIMO Wireless Systems. - Seungsik Moon; Hyeongtaek Lee; Junil Choi; Youngjoo Lee (IEEE Trans. Veh. Technol., 2022)

Low-Complexity Phase Shift Design for IRS-Aided SU-MIMO Wireless Systems. - Jiwon Kim; Seungsik Moon; Youngjoo Lee (ISOCC, 2023)

Sparsity-Aware Memory Interface Architecture using Stacked XORNet Compression for Accelerating Pruned-DNN Models. - Younghoon Byun; Seungsik Moon; Baeseong Park; Se Jung Kwon; Dongsoo Lee; Gunho Park; Eunji Yoo; Jung Gyu Min; Youngjoo Lee (MLSys, 2023)

Cost-Efficient GPIP Processing for Large-Scale Multi-User MIMO Systems. - Seungsik Moon; Namyoon Lee; Youngjoo Lee (IEEE Access, 2023)

A Scalable Precoding Processor for Large-Scale MU-MIMO Systems. - Seungsik Moon; Namyoon Lee; Youngjoo Lee (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

Intelligent MIMO Detection With Momentum-Induced Unfolded Layers. - Sangbu Yun; Seungsik Moon; Yo-Seb Jeon; Youngjoo Lee (IEEE Wirel. Commun. Lett., 2024)

A 43.9 μs IRS Controller SoC With Grid-Based Phase-Shift Optimization in 28 nm CMOS Technology for Next- Generation Communication. - Seungsik Moon; Youngjoo Lee (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

Multi-Group Multicasting Systems Using Multiple RISs. - Hyeongtaek Lee; Seungsik Moon; Youngjoo Lee; Jaeky Oh; Jaehoon Chung; Junil Choi (IEEE Trans. Wirel. Commun., 2024)