Fast, Accurate, and Scalable Method for Sparse Coupled Matrix-Tensor Factorization. - Dongjin Choi; Jun-Gi Jang; U Kang (CoRR, 2017)

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)

TR-SVD: Fast and Memory Efficient Method for Time Ranged Singular Value Decomposition. - Jun-Gi Jang; Dongjin Choi; Jinhong Jung; U Kang (CoRR, 2018)

FALCON: Fast and Lightweight Convolution for Compressing and Accelerating CNN. - Chun Quan; Jun-Gi Jang; Hyun Dong Lee; U Kang (CoRR, 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)

D-Tucker: Fast and Memory-Efficient Tucker Decomposition for Dense Tensors. - Jun-Gi Jang; U Kang (ICDE, 2020)

Fast Partial Fourier Transform. - Yong-chan Park; Jun-Gi Jang; U Kang (CoRR, 2020)

Time-Aware Tensor Decomposition for Missing Entry Prediction. - Dawon Ahn; Jun-Gi Jang; U Kang (CoRR, 2020)

VEST: Very Sparse Tucker Factorization of Large-Scale Tensors. - Moonjeong Park; Jun-Gi Jang; Lee Sael (BigComp, 2021)

Fast and Memory-Efficient Tucker Decomposition for Answering Diverse Time Range Queries. - Jun-Gi Jang; U Kang (KDD, 2021)

Fast and Accurate Partial Fourier Transform for Time Series Data. - Yong-chan Park; Jun-Gi Jang; U Kang (KDD, 2021)

Accurate PARAFAC2 Decomposition for Temporal Irregular Tensors with Missing Values. - Jun-Gi Jang; Jeongyoung Lee; Jiwon Park; U Kang (IEEE Big Data, 2022)

DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors. - Jun-Gi Jang; U Kang (ICDE, 2022)

Accurate Bundle Matching and Generation via Multitask Learning with Partially Shared Parameters. - Hyunsik Jeon; Jun-Gi Jang; Taehun Kim; U Kang (CoRR, 2022)

Time-aware tensor decomposition for sparse tensors. - Dawon Ahn; Jun-Gi Jang; U Kang (Mach. Learn., 2022)

Large-scale tucker Tensor factorization for sparse and accurate decomposition. - Jun-Gi Jang; Moonjeong Park; Jongwuk Lee; Lee Sael (J. Supercomput., 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)

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)

Falcon: lightweight and accurate convolution based on depthwise separable convolution. - Jun-Gi Jang; Chun Quan; Hyun Dong Lee; U Kang (Knowl. Inf. Syst., 2023)

Static and Streaming Tucker Decomposition for Dense Tensors. - Jun-Gi Jang; U Kang (ACM Trans. Knowl. Discov. Data, 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, 2023)

Fast and Accurate PARAFAC2 Decomposition for Time Range Queries on Irregular Tensors. - Jun-Gi Jang; Yong-chan Park; U Kang (CIKM, 2024)

Fast and Accurate Domain Adaptation for Irregular Tensor Decomposition. - Junghun Kim; Ka Hyun Park; Jun-Gi Jang; U Kang (KDD, 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 (KDD, 2024)

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 (Proc. VLDB Endow., 2024)

Improving Group Fairness in Tensor Completion via Imbalance Mitigating Entity Augmentation. - Dawon Ahn; Jun-Gi Jang; Evangelos E. Papalexakis (PAKDD (2), 2025)

Compact lossy compression of tensors via neural tensor-train decomposition. - Taehyung Kwon; Jihoon Ko; Jinhong Jung; Jun-Gi Jang; Kijung Shin (Knowl. Inf. Syst., 2025)

Tensor Convolutional Network for Higher-Order Interaction Prediction in Sparse Tensors. - Jun-Gi Jang; Jingrui He; Andrew Margenot; Hanghang Tong (CoRR, 2025)