FPGA-based real-time lane detection for advanced driver assistance systems. - Seokha Hwang; Youngjoo Lee (APCCAS, 2016)

An energy-optimized (37840, 34320) symmetric BC-BCH decoder for healthy mobile storages. - Seokha Hwang; Jaehwan Jung; Daesung Kim; Jeongseok Ha; In-Cheol Park; Youngjoo Lee (A-SSCC, 2017)

Multi-Mode LSTM Network for Energy-Efficient Speech Recognition. - Junseo Jo; Seokha Hwang; Sunggu Lee; Youngjoo Lee (ISOCC, 2018)

Fixed-Point Quantization of 3D Convolutional Neural Networks for Energy-Efficient Action Recognition. - Hyunhoon Lee; Younghoon Byun; Seokha Hwang; Sunggu Lee; Youngjoo Lee (ISOCC, 2018)

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)

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)

Hierarchical Approximate Memory for Deep Neural Network Applications. - Minho Ha; Seokha Hwang; Jeonghun Kim; Youngjoo Lee; Sunggu Lee (ACSSC, 2020)

TCP: A Tensor Contraction Processor for AI Workloads Industrial Product. - Hanjoon Kim; Younggeun Choi; Junyoung Park; Byeongwook Bae; Hyunmin Jeong; Sang Min Lee 014; Jeseung Yeon; Minho Kim; Changjae Park; Boncheol Gu; Changman Lee; Jaeick Bae; et al. (ISCA, 2024)

16.2 RNGD: A 5nm Tensor-Contraction Processor for Power-Efficient Inference on Large Language Models. - Sang Min Lee; Hanjoon Kim; Jeseung Yeon; Minho Kim; Changjae Park; Byeongwook Bae; Yojung Cha; Wooyoung Choe; Jonguk Choi; Younggeun Choi; Ki Jin Han; Seokha Hwang; et al. (ISSCC, 2025)