Shareable camera framework for multiple computer vision applications. - Hayun Lee; Gyeonghwan Hong; Dongkun Shin (ICACT, 2018)

Flexible Group-Level Pruning of Deep Neural Networks for Fast Inference on Mobile GPUs. - Kwangbae Lee; Hoseung Kim; Hayun Lee; Dongkun Shin (CASES (work in progress), 2019)

Flexible Group-Level Pruning of Deep Neural Networks for On-Device Machine Learning. - Kwangbae Lee; Hoseung Kim; Hayun Lee; Dongkun Shin (DATE, 2020)

Filter-Wise Quantization of Deep Neural Networks for IoT Devices. - Hoseung Kim; Geunhye Jo; Hayun Lee; Dongkun Shin (ICCE, 2021)

Optimal Knowledge Component Extracting Model for Knowledge-Concept Graph Completion in Education. - Hyunhee Choi; Hayun Lee; Minjeong Lee (IEEE Access, 2023)

Proxyformer: Nyström-Based Linear Transformer with Trainable Proxy Tokens. - Sangho Lee; Hayun Lee; Dongkun Shin (AAAI, 2024)

Enhancement of Knowledge Concept Maps Using Deductive Reasoning with Educational Data. - Hyunhee Choi; Hayun Lee; Minjeong Lee (ITS (1), 2024)

Realizing Unaligned Block-wise Pruning for DNN Acceleration on Mobile Devices. - Hayun Lee; Dongkun Shin (CoRR, 2024)

Toward Efficient Permutation for Hierarchical N:M Sparsity on GPUs. - Seungmin Yu; Xiaodie Yi; Hayun Lee; Dongkun Shin (CoRR, 2024)

Self-Corrective Task Planning by Inverse Prompting with Large Language Models. - Jiho Lee; Hayun Lee; Jonghyeon Kim; Kyungjae Lee; Eunwoo Kim (CoRR, 2025)