Jun-Gi Jang

According to our database, Jun-Gi Jang authored at least 24 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Compact Decomposition of Irregular Tensors for Data Compression: From Sparse to Dense to High-Order Tensors.

Taehyung Kwon, Jihoon Ko, Jinhong Jung, Jun-Gi Jang, Kijung Shin

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Fast and Accurate Domain Adaptation for Irregular Tensor Decomposition.

Junghun Kim, Ka Hyun Park, Jun-Gi Jang, U Kang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Fast and Accurate PARAFAC2 Decomposition for Time Range Queries on Irregular Tensors.

Jun-Gi Jang, Yong-chan Park, U Kang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Accurate Open-Set Recognition for Memory Workload.

Jun-Gi Jang, Sooyeon Shim, Vladimir Egay, Jeeyong Lee, Jongmin Park, Suhyun Chae, U Kang

ACM Trans. Knowl. Discov. Data, November, 2023

Static and Streaming Tucker Decomposition for Dense Tensors.

Jun-Gi Jang, U Kang

ACM Trans. Knowl. Discov. Data, June, 2023

Falcon: lightweight and accurate convolution based on depthwise separable convolution.

Jun-Gi Jang, Chun Quan, Hyun Dong Lee, U Kang

Knowl. Inf. Syst., May, 2023

Fast and Accurate Dual-Way Streaming PARAFAC2 for Irregular Tensors - Algorithm and Application.

Jun-Gi Jang, Jeongyoung Lee, Yong-chan Park, U Kang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Finding Key Structures in MMORPG Graph with Hierarchical Graph Summarization.

Jun-Gi Jang, Chaeheum Park, Changwon Jang, Geonsoo Kim, U Kang

ACM Trans. Knowl. Discov. Data, 2022

Large-scale tucker Tensor factorization for sparse and accurate decomposition.

Jun-Gi Jang, Moonjeong Park, Jongwuk Lee, Lee Sael

J. Supercomput., 2022

Time-aware tensor decomposition for sparse tensors.

Dawon Ahn, Jun-Gi Jang, U Kang

Mach. Learn., 2022

Accurate Bundle Matching and Generation via Multitask Learning with Partially Shared Parameters.

Hyunsik Jeon, Jun-Gi Jang, Taehun Kim, U Kang

CoRR, 2022

DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors.

Jun-Gi Jang, U Kang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Accurate PARAFAC2 Decomposition for Temporal Irregular Tensors with Missing Values.

Jun-Gi Jang, Jeongyoung Lee, Jiwon Park, U Kang

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Fast and Accurate Partial Fourier Transform for Time Series Data.

Yong-chan Park, Jun-Gi Jang, U Kang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Fast and Memory-Efficient Tucker Decomposition for Answering Diverse Time Range Queries.

Jun-Gi Jang, U Kang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

VEST: Very Sparse Tucker Factorization of Large-Scale Tensors.

Moonjeong Park, Jun-Gi Jang, Lee Sael

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021

2020

Time-Aware Tensor Decomposition for Missing Entry Prediction.

Dawon Ahn, Jun-Gi Jang, U Kang

CoRR, 2020

Fast Partial Fourier Transform.

Yong-chan Park, Jun-Gi Jang, U Kang

CoRR, 2020

D-Tucker: Fast and Memory-Efficient Tucker Decomposition for Dense Tensors.

Jun-Gi Jang, U Kang

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

High-Performance Tucker Factorization on Heterogeneous Platforms.

Sejoon Oh, Namyong Park, Jun-Gi Jang, Lee Sael, U Kang

IEEE Trans. Parallel Distributed Syst., 2019

FALCON: Fast and Lightweight Convolution for Compressing and Accelerating CNN.

Chun Quan, Jun-Gi Jang, Hyun Dong Lee, U Kang

CoRR, 2019

2018

TR-SVD: Fast and Memory Efficient Method for Time Ranged Singular Value Decomposition.

Jun-Gi Jang, Dongjin Choi, Jinhong Jung, U Kang

CoRR, 2018

Zoom-SVD: Fast and Memory Efficient Method for Extracting Key Patterns in an Arbitrary Time Range.

Jun-Gi Jang, Dongjin Choi, Jinhong Jung, U Kang

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Fast, Accurate, and Scalable Method for Sparse Coupled Matrix-Tensor Factorization.

Dongjin Choi, Jun-Gi Jang, U Kang

CoRR, 2017