Hoseung Kim

13 papers A 2C 1Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
ICaRus: Identical Cache Reuse for Efficient Multi Model Inference.
CoRR
Sunghyeon Woo, Jaeeun Kil, Hoseung Kim, Minsub Kim, Joonghoon Kim, Ahreum Seo, Sungjae Lee, Minjung Jo, Jiwon Ryu, Baeseong Park, Se Jung Kwon, Dongsoo Lee
2026 J jnl
PrefillShare: A Shared Prefill Module for KV Reuse in Multi-LLM Disaggregated Serving.
CoRR
Sunghyeon Woo, Hoseung Kim, Sunghwan Shim, Minjung Jo, Hyunjoon Jeong, Jeongtae Lee, Joonghoon Kim, Sungjae Lee, Baeseong Park, Se Jung Kwon, Dongsoo Lee
2025 J jnl
CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMs.
CoRR
Gunho Park, Jeongin Bae, Byeongwook Kim, Baeseong Park, Jiwon Ryu, Hoseung Kim, Se Jung Kwon, Dongsoo Lee
2024 A conf
An Autonomous Parallelization of Transformer Model Inference on Heterogeneous Edge Devices.
ICS
Juhyeon Lee, Insung Bahk, Hoseung Kim, Sinjin Jeong, Suyeon Lee, Donghyun Min
2024 J jnl
Classification of PRPD Pattern in Cast- Resin Transformers Using CNN and Implementation of Explainable AI (XAI) With Grad-CAM.
IEEE Access
Hoseung Kim, Jiho Jung, Ryul Hwang, Seong-Chan Park, Seung-jae Lee, Gyu-Tae Kim, Bang Wook Lee
2024 J jnl
Need Text Data Augmentation? Just One Insertion Is Enough.
Int. J. Fuzzy Log. Intell. Syst.
Hoseung Kim, Jee-Hyong Lee
2024 — conf
STAGE: Simple Text Data Augmentation by Graph Exploration.
LREC/COLING
Hoseung Kim, Yonghoon Kang, Jee-Hyong Lee
2023 J jnl
Area-Ware Adaptive Image Compression.
IEEE Access
Hoseung Kim, Minho Park, Seunghu Hong, Chang-Sung Jeong
2022 — conf
Reducing computational cost in federated ensemble learning via rank-one matrix.
SCIS/ISIS
Yonghoon Kang, Hoseung Kim, Jee-Hyong Lee
2021 C conf
Filter-Wise Quantization of Deep Neural Networks for IoT Devices.
ICCE
Hoseung Kim, Geunhye Jo, Hayun Lee, Dongkun Shin
2021 J jnl
Location-Based Saliency Maps from a Fully Connected Layer using Multi-Shapes.
KSII Trans. Internet Inf. Syst.
Hoseung Kim, Seong-Soo Han, Chang-Sung Jeong
2020 A conf
Flexible Group-Level Pruning of Deep Neural Networks for On-Device Machine Learning.
DATE
Kwangbae Lee, Hoseung Kim, Hayun Lee, Dongkun Shin
2019 — conf
Flexible Group-Level Pruning of Deep Neural Networks for Fast Inference on Mobile GPUs.
CASES (work in progress)
Kwangbae Lee, Hoseung Kim, Hayun Lee, Dongkun Shin