Jun-Gi Jang

37 papers A* 7A 2B 2Journal 24Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Fast and Accurate Domain Adaptation for Irregular and Regular Tensor Decomposition.
IEEE Trans. Knowl. Data Eng.
Junghun Kim, Ka Hyun Park, Jun-Gi Jang, U Kang
2025 J jnl
Compact lossy compression of tensors via neural tensor-train decomposition.
Knowl. Inf. Syst.
Taehyung Kwon, Jihoon Ko, Jinhong Jung, Jun-Gi Jang, Kijung Shin
2025 — conf
Improving Group Fairness in Tensor Completion via Imbalance Mitigating Entity Augmentation.
PAKDD (2)
Dawon Ahn, Jun-Gi Jang, Evangelos E. Papalexakis
2025 J jnl
Improving Group Fairness in Tensor Completion via Imbalance Mitigating Entity Augmentation.
CoRR
Dawon Ahn, Jun-Gi Jang, Evangelos E. Papalexakis
2025 J jnl
TUCKET: A Tensor Time Series Data Structure for Efficient and Accurate Factor Analysis over Time Ranges.
CoRR
Ruizhong Qiu, Jun-Gi Jang, Xiao Lin, Lihui Liu, Hanghang Tong
2025 J jnl
Tensor Convolutional Network for Higher-Order Interaction Prediction in Sparse Tensors.
CoRR
Jun-Gi Jang, Jingrui He, Andrew Margenot, Hanghang Tong
2024 A* conf
Compact Decomposition of Irregular Tensors for Data Compression: From Sparse to Dense to High-Order Tensors.
KDD
Taehyung Kwon, Jihoon Ko, Jinhong Jung, Jun-Gi Jang, Kijung Shin
2024 A* conf
Fast and Accurate Domain Adaptation for Irregular Tensor Decomposition.
KDD
Junghun Kim, Ka Hyun Park, Jun-Gi Jang, U Kang
2024 A conf
Fast and Accurate PARAFAC2 Decomposition for Time Range Queries on Irregular Tensors.
CIKM
Jun-Gi Jang, Yong-chan Park, U Kang
2024 J jnl
TUCKET: A Tensor Time Series Data Structure for Efficient and Accurate Factor Analysis over Time Ranges.
Proc. VLDB Endow.
Ruizhong Qiu, Jun-Gi Jang, Xiao Lin, Lihui Liu, Hanghang Tong
2023 J jnl
Accurate Open-Set Recognition for Memory Workload.
ACM Trans. Knowl. Discov. Data
Jun-Gi Jang, Sooyeon Shim, Vladimir Egay, Jeeyong Lee, Jongmin Park, Suhyun Chae, U Kang
2023 J jnl
Falcon: lightweight and accurate convolution based on depthwise separable convolution.
Knowl. Inf. Syst.
Jun-Gi Jang, Chun Quan, Hyun Dong Lee, U Kang
2023 A* conf
Fast and Accurate Dual-Way Streaming PARAFAC2 for Irregular Tensors - Algorithm and Application.
KDD
Jun-Gi Jang, Jeongyoung Lee, Yong-chan Park, U Kang
2023 J jnl
Fast and Accurate Dual-Way Streaming PARAFAC2 for Irregular Tensors - Algorithm and Application.
CoRR
Jun-Gi Jang, Jeongyoung Lee, Yong-chan Park, U Kang
2023 J jnl
Static and Streaming Tucker Decomposition for Dense Tensors.
ACM Trans. Knowl. Discov. Data
Jun-Gi Jang, U Kang
2022 J jnl
Accurate Bundle Matching and Generation via Multitask Learning with Partially Shared Parameters.
CoRR
Hyunsik Jeon, Jun-Gi Jang, Taehun Kim, U Kang
2022 J jnl
Accurate Open-set Recognition for Memory Workload.
CoRR
Jun-Gi Jang, Sooyeon Shim, Vladimir Egay, Jeeyong Lee, Jongmin Park, Suhyun Chae, U Kang
2022 B conf
Accurate PARAFAC2 Decomposition for Temporal Irregular Tensors with Missing Values.
IEEE Big Data
Jun-Gi Jang, Jeongyoung Lee, Jiwon Park, U Kang
2022 A* conf
DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors.
ICDE
Jun-Gi Jang, U Kang
2022 J jnl
DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors.
CoRR
Jun-Gi Jang, U Kang
2022 J jnl
Finding Key Structures in MMORPG Graph with Hierarchical Graph Summarization.
ACM Trans. Knowl. Discov. Data
Jun-Gi Jang, Chaeheum Park, Changwon Jang, Geonsoo Kim, U Kang
2022 J jnl
Large-scale tucker Tensor factorization for sparse and accurate decomposition.
J. Supercomput.
Jun-Gi Jang, MoonJeong Park, Jongwuk Lee, Lee Sael
2022 J jnl
Time-aware tensor decomposition for sparse tensors.
Mach. Learn.
Dawon Ahn, Jun-Gi Jang, U Kang
2021 A* conf
Fast and Accurate Partial Fourier Transform for Time Series Data.
KDD
Yong-chan Park, Jun-Gi Jang, U Kang
2021 A* conf
Fast and Memory-Efficient Tucker Decomposition for Answering Diverse Time Range Queries.
KDD
Jun-Gi Jang, U Kang
2021 B conf
Time-Aware Tensor Decomposition for Sparse Tensors.
DSAA
Dawon Ahn, Jun-Gi Jang, U Kang
2021 — conf
VEST: Very Sparse Tucker Factorization of Large-Scale Tensors.
BigComp
MoonJeong Park, Jun-Gi Jang, Lee Sael
2020 A* conf
D-Tucker: Fast and Memory-Efficient Tucker Decomposition for Dense Tensors.
ICDE
Jun-Gi Jang, U Kang
2020 J jnl
Fast Partial Fourier Transform.
CoRR
Yong-chan Park, Jun-Gi Jang, U Kang
2020 J jnl
Finding Key Structures in MMORPG Graph with Hierarchical Graph Summarization.
CoRR
Jun-Gi Jang, Chaeheum Park, Changwon Jang, Geonsoo Kim, U Kang
2020 J jnl
Time-Aware Tensor Decomposition for Missing Entry Prediction.
CoRR
Dawon Ahn, Jun-Gi Jang, U Kang
2019 J jnl
FALCON: Fast and Lightweight Convolution for Compressing and Accelerating CNN.
CoRR
Chun Quan, Jun-Gi Jang, Hyun Dong Lee, U Kang
2019 J jnl
High-Performance Tucker Factorization on Heterogeneous Platforms.
IEEE Trans. Parallel Distributed Syst.
Sejoon Oh, Namyong Park, Jun-Gi Jang, Lee Sael, U Kang
2019 J jnl
VeST: Very Sparse Tucker Factorization of Large-Scale Tensors.
CoRR
MoonJeong Park, Jun-Gi Jang, Lee Sael
2018 J jnl
TR-SVD: Fast and Memory Efficient Method for Time Ranged Singular Value Decomposition.
CoRR
Jun-Gi Jang, Dongjin Choi, Jinhong Jung, U Kang
2018 A conf
Zoom-SVD: Fast and Memory Efficient Method for Extracting Key Patterns in an Arbitrary Time Range.
CIKM
Jun-Gi Jang, Dongjin Choi, Jinhong Jung, U Kang
2017 J jnl
Fast, Accurate, and Scalable Method for Sparse Coupled Matrix-Tensor Factorization.
CoRR
Dongjin Choi, Jun-Gi Jang, U Kang