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)

Location-Based Saliency Maps from a Fully Connected Layer using Multi-Shapes. - Hoseung Kim; Seong-Soo Han; Chang-Sung Jeong (KSII Trans. Internet Inf. Syst., 2021)

Reducing computational cost in federated ensemble learning via rank-one matrix. - YongHoon Kang; Hoseung Kim; Jee-Hyong Lee 001 (SCIS/ISIS, 2022)

Area-Ware Adaptive Image Compression. - Hoseung Kim; Minho Park; Seunghu Hong; Chang-Sung Jeong (IEEE Access, 2023)

STAGE: Simple Text Data Augmentation by Graph Exploration. - Hoseung Kim; YongHoon Kang; Jee-Hyong Lee 001 (LREC/COLING, 2024)

An Autonomous Parallelization of Transformer Model Inference on Heterogeneous Edge Devices. - Juhyeon Lee; Insung Bahk; Hoseung Kim; Sinjin Jeong; Suyeon Lee; Donghyun Min (ICS, 2024)

Classification of PRPD Pattern in Cast- Resin Transformers Using CNN and Implementation of Explainable AI (XAI) With Grad-CAM. - Hoseung Kim; Jiho Jung; Ryul Hwang; Seong-Chan Park; Seung-Jae Lee; Gyu-Tae Kim; Bang Wook Lee (IEEE Access, 2024)

Need Text Data Augmentation? Just One Insertion Is Enough. - Hoseung Kim; Jee-Hyong Lee 001 (Int. J. Fuzzy Log. Intell. Syst., 2024)