U Kang
机构: Professor of Computer Science and Engineering, Seoul National University
主页: snu.ac.kr
每年引用次数
引用次数
引用: 7,537
H-指数: 44
I10-指数 : 103
出版物: 172
Large Graph Mining System for Patterns, Anomalies & Visualization
Leman Akoglu , Duen Horng Chau , U Kang , Danai Koutra
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2012
2012
Big data clustering
Tong Hanghang , U Kang
Data Clustering 259 -276
15
2018
HaTen2: Billion-scale Tensor Decompositions
Inah Jeon , Evangelos E Papalexakis , U Kang , Christos Faloutsos
IEEE ICDE 2015
178
2015
Fast and scalable method for distributed boolean tensor factorization
Namyong Park , Sejoon Oh , U Kang
The VLDB Journal 28 ( 4) 549 -574
20
2019
Big graph mining for the web and social media: algorithms, anomaly detection, and applications.
U Kang , Leman Akoglu , Duen Horng Chau
WSDM 14 677 -678
16
2014
Big graph mining: Algorithms, anomaly detection, and applications
U Kang , Leman Akoglu , Duen Horng Polo Chau
Proceedings of the ACM ASONAM 13 25 -28
9
2013
Inference of beliefs on billion-scale graphs
U Kang , Duen Horng Chau
36
2010
M-flash: Fast billion-scale graph computation using block partition model
Hugo Gualdron , Robson Cordeiro , Jose F Rodrigues Jr , Duen Horng Polo Chau
arXiv preprint arXiv:1506.01406
2
2015
Clustering Very Large Multi-dimensional Datasets with MapReduce
Robson LF Cordeiro , Caetano Traina Jr , Agma JM Traina , Julio López
ACM SIGKDD Conference on Knowledge Discovery and Data Mining 690 -698
223
2011
Fully scalable methods for distributed tensor factorization
Kijung Shin , Lee Sael , U Kang
IEEE Transactions on Knowledge and Data Engineering 29 ( 1) 100 -113
89
2016
Random walk with restart on large graphs using block elimination
Jinhong Jung , Kijung Shin , Lee Sael , U Kang
ACM Transactions on Database Systems (TODS) 41 ( 2) 1 -43
47
2016
Fast and Scalable Approximate Spectral Graph Matching for Correspondence Problems
U Kang , Martial Hebert , Soonyong Park
Information Sciences
44
2012
Large Scale Tensor Decompositions: Algorithmic Developments and Applications
Evangelos Papalexakis , U Kang , Christos Faloutsos , Nicholas Sidiropoulos
Bulletin of the Technical Committee on Data Engineering 36 ( 3) 59 -66
33
2013
Midas: Representative sampling from real-world hypergraphs
Minyoung Choe , Jaemin Yoo , Geon Lee , Woonsung Baek
1080 -1092
23
2022
Accurate stock movement prediction with self-supervised learning from sparse noisy tweets
Yejun Soun , Jaemin Yoo , Minyong Cho , Jihyeong Jeon
2022 IEEE International Conference on Big Data (Big Data) 1691 -1700
21
2022
Model-agnostic augmentation for accurate graph classification
Jaemin Yoo , Sooyeon Shim , U Kang
1281 -1291
21
2022
Time-aware tensor decomposition for sparse tensors
Dawon Ahn , Jun-Gi Jang , U Kang
2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA) 1 -2
20
2021
Signed graph diffusion network
Jinhong Jung , Jaemin Yoo , U Kang
arXiv preprint arXiv:2012.14191
19
2020
Attention-based autoregression for accurate and efficient multivariate time series forecasting
Jaemin Yoo , U Kang
Society for Industrial and Applied Mathematics 531 -539
18
2021
Fast and memory-efficient tucker decomposition for answering diverse time range queries
Jun-Gi Jang , U Kang
725 -735
17
2021