Jun-Gi Jang

According to our database, Jun-Gi Jang authored at least 21 papers between 2017 and 2023.

Collaborative distances:

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

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