Improving Group Fairness in Tensor Completion via Imbalance Mitigating Entity Augmentation
Dawon Ahn*, Jun-Gi Jang*, Evangelos E. Papalexakis (*equal contribution)
PAKDD 2025, Sydney, Australia.
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TUCKET: A Tensor Time Series Data Structure for Efficient and Accurate Factor Analysis over Time Ranges
Ruizhong Qiu*, Jun-Gi Jang*, Xiao Lin, Lihui Liu, Hanghang Tong (*equal contribution)
VLDB 2025 (Proceedings of the VLDB Endowment), Vol. 17(13), 2024
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Fast and Accurate PARAFAC2 Decomposition for Time Range Queries on Irregular Tensors
Jun-Gi Jang, Yong-chan Park, U Kang
CIKM 2024, Boise, Idaho, USA
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Fast and Accurate Domain Adaptation for Irregular Tensor Decomposition
Junghun Kim, Ka Hyun Park, Jun-Gi Jang, U Kang
KDD 2024, Barcelona, Spain
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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
KDD 2024, Barcelona, Spain
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Fast and Accurate Dual-Way Streaming PARAFAC2 for Irregular Tensors – Algorithm and Application
Jun-Gi Jang, Jeongyoung Lee, Yong-chan Park, U Kang
KDD 2023, Long Beach, CA, USA
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Accurate PARAFAC2 Decomposition for Temporal Irregular Tensors with Missing Values
Jun-Gi Jang, Jeongyoung Lee, Jiwon Park, U Kang
IEEE BigData 2022, Osaka, Japan
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DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors
Jun-Gi Jang, U Kang
ICDE 2022 (Virtual)
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🏆 Best Paper Award (Honorable Mention)
Fast and Memory-Efficient Tucker Decomposition for Answering Diverse Time Range Queries
Jun-Gi Jang, U Kang
KDD 2021 (Virtual)
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🏆 Best Research Paper
Fast and Accurate Partial Fourier Transform for Time Series Data
Yong-chan Park, Jun-Gi Jang, U Kang
KDD 2021 (Virtual)
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VeST: Very Sparse Tucker Factorization of Large-Scale Tensors
Moonjeong Park*, Jun-Gi Jang*, Lee Sael (*equal contribution)
BigComp 2021, Jeju, Korea
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🏆 Best Paper Award (1st Place)
D-Tucker: Fast and Memory-Efficient Tucker Decomposition for Dense Tensors
Jun-Gi Jang, U Kang
ICDE 2020, Dallas, Texas, USA
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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
CIKM 2018, Turin, Italy
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Fast and Accurate Domain Adaptation for Irregular and Regular Tensor Decomposition
Junghun Kim, Kahyun Park, Jun-Gi Jang, U Kang
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2026
Compact Lossy Compression of Tensors via Neural Tensor-Train Decomposition
Taehyung Kwon, Jihoon Ko, Jinhong Jung, Jun-Gi Jang, Kijung Shin
Knowledge and Information Systems (KAIS), 2024
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Accurate Open-set Recognition for Memory Workload
Jun-Gi Jang, Sooyeon Shim, Vladimir Egay, Jeeyong Lee, Jongmin Park, Suhyun Chae, U Kang
ACM Transactions on Knowledge Discovery from Data (TKDD), 2023
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Fast and Accurate Interpretation of Workload Classification Model
Sooyeon Shim, Doyeon Kim, Jun-Gi Jang, Suhyun Chae, Jeeyong Lee, U Kang
PLOS ONE, 2023
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Accurate Bundle Matching and Generation via Multitask Learning with Partially Shared Parameters
Hyunsik Jeon, Jun-Gi Jang, Taehun Kim, U Kang
PLOS ONE, 2023
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Falcon: Lightweight and Accurate Convolution Based on Depthwise Separable Convolution
Jun-Gi Jang*, Chun Quan*, Hyun Dong Lee, U Kang (*equal contribution)
Knowledge and Information Systems (KAIS), 2023
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Static and Streaming Tucker Decomposition for Dense Tensors
Jun-Gi Jang, U Kang
ACM Transactions on Knowledge Discovery from Data (TKDD), 2022
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Large-scale Tucker Tensor Factorization for Sparse and Accurate Decomposition
Jun-Gi Jang*, Moonjeong Park*, Jongwuk Lee, Lee Sael (*equal contribution)
The Journal of Supercomputing, 2022
Paper
Finding Key Structures in MMORPG Graph with Hierarchical Graph Summarization
Jun-Gi Jang, Chaeheum Park, Changwon Jang, Geonsoo Kim, U Kang
ACM Transactions on Knowledge Discovery from Data (TKDD), 2022
Paper
Time-aware Tensor Decomposition for Sparse Tensors
Dawon Ahn, Jun-Gi Jang, U Kang
Machine Learning, 2021
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S3CMTF: Fast, Accurate, and Scalable Method for Incomplete Coupled Matrix-Tensor Factorization
Dongjin Choi, Jun-Gi Jang, U Kang
PLOS ONE, 2019
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High-Performance Tucker Factorization on Heterogeneous Platforms
Sejoon Oh, Namyong Park, Jun-Gi Jang, Lee Sael, U Kang
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2019
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