Jihoon Ko

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 31

Top Topics

Lossy Compression

Semantic Search

Top Venues

Publications

Geon Lee, Seokbum Yoon, Jihoon Ko, Hyunju Kim, Kijung Shin
Hypergraph motifs and their extensions beyond binary. VLDB J. 33 (3) (2024)
Taehyung Kwon, Jihoon Ko, Jinhong Jung, Jun-Gi Jang, Kijung Shin
Compact Decomposition of Irregular Tensors for Data Compression: From Sparse to Dense to High-Order Tensors. KDD (2024)
Taehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin
NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors. WWW (2023)
Taehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin
TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions. CoRR (2023)
Geon Lee, Seokbum Yoon, Jihoon Ko, Hyunju Kim, Kijung Shin
Hypergraph Motifs and Their Extensions Beyond Binary. CoRR (2023)
Hyunju Kim, Jihoon Ko, Fanchen Bu, Kijung Shin
Characterization of Simplicial Complexes by Counting Simplets Beyond Four Nodes. CoRR (2023)
Taehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin
NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors. CoRR (2023)
Taehyung Kwon, Jihoon Ko, Jinhong Jung, Kijung Shin
TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions. ICDM (2023)
Hyunju Kim, Jihoon Ko, Fanchen Bu, Kijung Shin
Characterization of Simplicial Complexes by Counting Simplets Beyond Four Nodes. WWW (2023)
Jihoon Ko, Shinhwan Kang, Kijung Shin
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning. CoRR (2022)
Jihoon Ko, Kyuhan Lee, Hyunjin Hwang, Seok-Geun Oh, Seok-Woo Son, Kijung Shin
Effective training strategies for deep-learning-based precipitation nowcasting and estimation. Comput. Geosci. 161 (2022)
Jihoon Ko, Kyuhan Lee, Hyunjin Hwang, Kijung Shin
Deep-Learning-Based Precipitation Nowcasting with Ground Weather Station Data and Radar Data. CoRR (2022)
Jihoon Ko, Kyuhan Lee, Hyunjin Hwang, Seok-Geun Oh, Seok-Woo Son, Kijung Shin
Effective Training Strategies for Deep-learning-based Precipitation Nowcasting and Estimation. CoRR (2022)
Kyuhan Lee, Jihoon Ko, Kijung Shin
SLUGGER: Lossless Hierarchical Summarization of Massive Graphs. ICDE (2022)
Jihoon Ko, Kyuhan Lee, Hyunjin Hwang, Kijung Shin
Deep-Learning-Based Precipitation Nowcasting with Ground Weather Station Data and Radar Data. ICDM (Workshops) (2022)
Jihoon Ko, Yunbum Kook, Kijung Shin
Growth patterns and models of real-world hypergraphs. Knowl. Inf. Syst. 64 (11) (2022)
Kyuhan Lee, Jihoon Ko, Kijung Shin
SLUGGER: Lossless Hierarchical Summarization of Massive Graphs. CoRR (2021)
Jihoon Ko, Taehyung Kwon, Kijung Shin, Juho Lee
Learning to Pool in Graph Neural Networks for Extrapolation. CoRR (2021)
Jihoon Ko, Kyuhan Lee, Kijung Shin, Noseong Park
MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Social Networks. CoRR (2020)
Yunbum Kook, Jihoon Ko, Kijung Shin
Evolution of Real-world Hypergraphs: Patterns and Models without Oracles. ICDM (2020)
Geon Lee, Jihoon Ko, Kijung Shin
Hypergraph Motifs: Concepts, Algorithms, and Discoveries. Proc. VLDB Endow. 13 (11) (2020)
Yunbum Kook, Jihoon Ko, Kijung Shin
Evolution of Real-world Hypergraphs: Patterns and Models without Oracles. CoRR (2020)
Jihoon Ko, Yunbum Kook, Kijung Shin
Incremental Lossless Graph Summarization. CoRR (2020)
Jihoon Ko, Yunbum Kook, Kijung Shin
Incremental Lossless Graph Summarization. KDD (2020)
Geon Lee, Jihoon Ko, Kijung Shin
Hypergraph Motifs: Concepts, Algorithms, and Discoveries. CoRR (2020)
Kyuhan Lee, Hyeonsoo Jo, Jihoon Ko, Sungsu Lim, Kijung Shin
SSumM: Sparse Summarization of Massive Graphs. CoRR (2020)
Jihoon Ko, Kyuhan Lee, Kijung Shin, Noseong Park
MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Networks. ASONAM (2020)
Kyuhan Lee, Hyeonsoo Jo, Jihoon Ko, Sungsu Lim, Kijung Shin
SSumM: Sparse Summarization of Massive Graphs. KDD (2020)
Donghwi Kim, Soo Young Park, Jihoon Ko, Steven Y. Ko, Sung-Ju Lee
Prototyping Functional Android App Features with ProDroid. MobiSys (2019)
Donghwi Kim, Sooyoung Park, Jihoon Ko, Steven Y. Ko, Sung-Ju Lee
X-Droid: A Quick and Easy Android Prototyping Framework with a Single-App Illusion. UIST (2019)
Sangjin Shin, Jihoon Ko, Sungkwang Eom, Minjae Song, Dong-Hoon Shin, Kyong-Ho Lee
Keyword-based mobile semantic search using mobile ontology. J. Inf. Sci. 41 (2) (2015)
Jihoon Ko, Sangjin Shin, Sungkwang Eom, Minjae Song, Jooik Jung, Dong-Hoon Shin, Kyong-Ho Lee, Yongil Jang
Keyword Based Semantic Search for Mobile Data. MDM (1) (2014)
Jihoon Ko, Sangjin Shin, Sungkwang Eom, Minjae Song, Dong-Hoon Shin, Kyong-Ho Lee, Yongil Jang
Semantically enhanced keyword search for smartphones. WWW (Companion Volume) (2014)
Sangjin Shin, Jihoon Ko, Dong-Hoon Shin, Jooik Jung, Kyong-Ho Lee
Semantic search for smart mobile devices. IUI Companion (2013)
Sangjin Shin, Dong-Hoon Shin, Jihoon Ko, Minjae Song, Sungkwang Eom, Kyong-Ho Lee, Jinsung Park, Seungwon Lee, Jooyeon Jung
Augmenting Mobile Search Engine with Semantic Web and Context Awareness. Web Intelligence/IAT Workshops (2013)