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)

Time-step interleaved weight reuse for LSTM neural network computing. - Naebeom Park; Yulhwa Kim; Daehyun Ahn; Taesu Kim; Jae-Joon Kim (ISLPED, 2020)

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)

Workload-Balanced Graph Attention Network Accelerator with Top-K Aggregation Candidates. - Naebeom Park; Daehyun Ahn; Jae-Joon Kim (ICCAD, 2022)