Следене
Jun-Gi Jang
Jun-Gi Jang
Потвърден имейл адрес: illinois.edu - Начална страница
Заглавие
Позовавания
Позовавания
Година
S3CMTF: Fast, accurate, and scalable method for incomplete coupled matrix-tensor factorization
D Choi, JG Jang, U Kang
PloS one 14 (6), e0217316, 2019
43*2019
D-tucker: Fast and memory-efficient tucker decomposition for dense tensors
JG Jang, U Kang
2020 IEEE 36th International Conference on Data Engineering (ICDE), 1850-1853, 2020
302020
High-performance tucker factorization on heterogeneous platforms
S Oh, N Park, JG Jang, L Sael, U Kang
IEEE Transactions on Parallel and Distributed Systems 30 (10), 2237-2248, 2019
302019
Time-aware tensor decomposition for sparse tensors
D Ahn, JG Jang, U Kang
2021 IEEE 8th International Conference on Data Science and Advanced …, 2021
282021
Falcon: lightweight and accurate convolution based on depthwise separable convolution
JG Jang, C Quan, HD Lee, U Kang
Knowledge and Information Systems 65 (5), 2225-2249, 2023
25*2023
Fast and memory-efficient tucker decomposition for answering diverse time range queries
JG Jang, U Kang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
252021
Static and streaming tucker decomposition for dense tensors
JG Jang, U Kang
ACM Transactions on Knowledge Discovery from Data 17 (5), 1-34, 2023
182023
Zoom-svd: Fast and memory efficient method for extracting key patterns in an arbitrary time range
JG Jang, D Choi, J Jung, U Kang
Proceedings of the 27th ACM International Conference on Information and …, 2018
172018
Fast and accurate partial fourier transform for time series data
Y Park, JG Jang, U Kang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
16*2021
VeST: Very sparse tucker factorization of large-scale tensors
M Park, JG Jang, L Sael
2021 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2021
142021
Dpar2: Fast and scalable parafac2 decomposition for irregular dense tensors
JG Jang, U Kang
2022 IEEE 38th International Conference on Data Engineering (ICDE), 2454-2467, 2022
112022
Accurate bundle matching and generation via multitask learning with partially shared parameters
H Jeon, JG Jang, T Kim, U Kang
Plos one 18 (3), e0280630, 2023
92023
Accurate PARAFAC2 decomposition for temporal irregular tensors with missing values
JG Jang, J Lee, J Park, U Kang
2022 IEEE International Conference on Big Data (Big Data), 982-991, 2022
62022
TUCKET: A tensor time series data structure for efficient and accurate factor analysis over time ranges
R Qiu, JG Jang, X Lin, L Liu, H Tong
arXiv preprint arXiv:2501.06647, 2025
42025
Fast and accurate dual-way streaming parafac2 for irregular tensors-algorithm and application
JG Jang, J Lee, Y Park, U Kang
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
42023
Fast and accurate interpretation of workload classification model
S Shim, D Kim, JG Jang, S Chae, J Lee, U Kang
Plos one 18 (3), e0282595, 2023
42023
Large-scale tucker Tensor factorization for sparse and accurate decomposition
JG Jang, M Park, J Lee, L Sael
The Journal of Supercomputing 78 (16), 17992-18022, 2022
42022
Fast and accurate domain adaptation for irregular tensor decomposition
J Kim, KH Park, JG Jang, U Kang
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
22024
Fast and accurate parafac2 decomposition for time range queries on irregular tensors
JG Jang, Y Park, U Kang
Proceedings of the 33rd ACM International Conference on Information and …, 2024
12024
Compact decomposition of irregular tensors for data compression: From sparse to dense to high-order tensors
T Kwon, J Ko, J Jung, JG Jang, K Shin
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024
12024
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