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ORCIDU Kang
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- affiliation: Seoul National University, Department of Computer Science and Engineering, South Korea
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2020 – today
- 2020
[j25]Jinhong Jung, Woojeong Jin, U Kang:
Random walk-based ranking in signed social networks: model and algorithms. Knowl. Inf. Syst. 62(2): 571-610 (2020)- [c63]Dawon Ahn, Sangjun Son, U Kang:
Gtensor: Fast and Accurate Tensor Analysis System using GPUs. CIKM 2020: 3361-3364 - [c62]Jinhong Jung, Ha-Myung Park, U Kang:
BalanSiNG: Fast and Scalable Generation of Realistic Signed Networks. EDBT 2020: 193-204 - [c61]Jun-Gi Jang, U Kang:
D-Tucker: Fast and Memory-Efficient Tucker Decomposition for Dense Tensors. ICDE 2020: 1850-1853 - [c60]Bonhun Koo, Hyunsik Jeon, U Kang:
Accurate News Recommendation Coalescing Personal and Global Temporal Preferences. PAKDD (1) 2020: 78-90 - [c59]Jaemin Yoo, U Kang, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon:
Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference. WSDM 2020: 708-716 - [i25]Yong-chan Park, Jun-Gi Jang, U Kang:
Fast Partial Fourier Transform. CoRR abs/2008.12559 (2020) - [i24]Seongmin Lee, Hyunsik Jeon, U Kang:
Ensemble Multi-Source Domain Adaptation with Pseudolabels. CoRR abs/2009.14248 (2020) - [i23]Hyun Dong Lee, Seongmin Lee, U Kang:
AUBER: Automated BERT Regularization. CoRR abs/2009.14409 (2020) - [i22]Ikhyun Cho, U Kang:
Pea-KD: Parameter-efficient and Accurate Knowledge Distillation. CoRR abs/2009.14822 (2020) - [i21]Dawon Ahn, Jun-Gi Jang, U Kang:
Time-Aware Tensor Decomposition for Missing Entry Prediction. CoRR abs/2012.08855 (2020) - [i20]Jaehun Jung, Jinhong Jung, U Kang:
T-GAP: Learning to Walk across Time for Temporal Knowledge Graph Completion. CoRR abs/2012.10595 (2020) - [i19]Jun-Gi Jang, Chaeheum Park, Changwon Jang, Geonsoo Kim, U Kang:
Finding Key Structures in MMORPG Graph with Hierarchical Graph Summarization. CoRR abs/2012.12487 (2020) - [i18]Jinhong Jung, Jaemin Yoo, U Kang:
Signed Graph Diffusion Network. CoRR abs/2012.14191 (2020)
2010 – 2019
- 2019
- [j24]Yongsub Lim, In-Jae Yu
, Dongmin Seo, U Kang, Lee Sael:
PS-MCL: parallel shotgun coarsened Markov clustering of protein interaction networks. BMC Bioinform. 20-S(13): 381:1-381:12 (2019) - [j23]Minsoo Jung, Yongsub Lim, Sunmin Lee, U Kang:
FURL: Fixed-memory and uncertainty reducing local triangle counting for multigraph streams. Data Min. Knowl. Discov. 33(5): 1225-1253 (2019) - [j22]Sejoon Oh, Namyong Park, Jun-Gi Jang, Lee Sael, U Kang:
High-Performance Tucker Factorization on Heterogeneous Platforms. IEEE Trans. Parallel Distributed Syst. 30(10): 2237-2248 (2019) - [j21]Namyong Park, Sejoon Oh, U Kang:
Fast and scalable method for distributed Boolean tensor factorization. VLDB J. 28(4): 549-574 (2019) - [c58]Hyunsik Jeon, Bonhun Koo, U Kang:
Data Context Adaptation for Accurate Recommendation with Additional Information. BigData 2019: 800-809 - [c57]Jaemin Yoo, Hyunsik Jeon, U Kang:
Belief Propagation Network for Hard Inductive Semi-Supervised Learning. IJCAI 2019: 4178-4184 - [c56]Seungcheol Park, Shuyu Wang, Hunjung Lim, U Kang:
Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance. IROS 2019: 6459-6464 - [c55]Jaemin Yoo, Minyong Cho, Taebum Kim, U Kang:
Knowledge Extraction with No Observable Data. NeurIPS 2019: 2701-2710 - [i17]Hyunsik Jeon, Bonhun Koo, U Kang:
Data Context Adaptation for Accurate Recommendation with Additional Information. CoRR abs/1908.08469 (2019) - [i16]Chun Quan, Jun-Gi Jang, Hyun Dong Lee, U Kang:
FALCON: Fast and Lightweight Convolution for Compressing and Accelerating CNN. CoRR abs/1909.11321 (2019) - [i15]Seungcheol Park, Huiwen Xu, Taehun Kim, Inhwan Hwang, Kyung-Jun Kim, U Kang:
How to Pick the Best Source Data? Measuring Transferability for Heterogeneous Domains. CoRR abs/1912.13366 (2019) - 2018
- [j20]Mauro Scanagatta, Giorgio Corani, Marco Zaffalon, Jaemin Yoo, U Kang:
Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets. Int. J. Approx. Reason. 95: 152-166 (2018) - [j19]Yongsub Lim, Minsoo Jung, U Kang:
Memory-Efficient and Accurate Sampling for Counting Local Triangles in Graph Streams: From Simple to Multigraphs. ACM Trans. Knowl. Discov. Data 12(1): 4:1-4:28 (2018) - [j18]Ha-Myung Park, Francesco Silvestri, Rasmus Pagh, Chin-Wan Chung, Sung-Hyon Myaeng, U Kang:
Enumerating Trillion Subgraphs On Distributed Systems. ACM Trans. Knowl. Discov. Data 12(6): 71:1-71:30 (2018) - [c54]Ha-Myung Park, Chiwan Park, U Kang:
PegasusN: A Scalable and Versatile Graph Mining System. AAAI 2018: 8214-8215 - [c53]Jun-Gi Jang, Dongjin Choi, Jinhong Jung, U Kang:
Zoom-SVD: Fast and Memory Efficient Method for Extracting Key Patterns in an Arbitrary Time Range. CIKM 2018: 1083-1092 - [c52]Sejoon Oh, Namyong Park, Lee Sael, U Kang:
Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries. ICDE 2018: 1120-1131 - [c51]Minji Yoon, Jinhong Jung, U Kang:
TPA: Fast, Scalable, and Accurate Method for Approximate Random Walk with Restart on Billion Scale Graphs. ICDE 2018: 1132-1143 - [c50]Saehan Jo, Jaemin Yoo, U Kang:
Fast and Scalable Distributed Loopy Belief Propagation on Real-World Graphs. WSDM 2018: 297-305 - [c49]Minji Yoon, Woojeong Jin, U Kang:
Fast and Accurate Random Walk with Restart on Dynamic Graphs with Guarantees. WWW 2018: 409-418 - [c48]Junghwan Kim, Haekyu Park, Ji-Eun Lee, U Kang:
SIDE: Representation Learning in Signed Directed Networks. WWW 2018: 509-518 - [i14]Mauro Scanagatta, Giorgio Corani, Marco Zaffalon, Jaemin Yoo, U Kang:
Efficient Learning of Bounded-Treewidth Bayesian Networks from Complete and Incomplete Data Sets. CoRR abs/1802.02468 (2018) - [i13]Jun-Gi Jang, Dongjin Choi, Jinhong Jung, U Kang:
TR-SVD: Fast and Memory Efficient Method for Time Ranged Singular Value Decomposition. CoRR abs/1805.00754 (2018) - 2017
- [j17]Yongsub Lim, U Kang:
Time-weighted counting for recently frequent pattern mining in data streams. Knowl. Inf. Syst. 53(2): 391-422 (2017) - [j16]Kijung Shin, Lee Sael, U Kang:
Fully Scalable Methods for Distributed Tensor Factorization. IEEE Trans. Knowl. Data Eng. 29(1): 100-113 (2017) - [j15]Yongsub Lim, Won-Jo Lee, Ho-Jin Choi, U Kang:
MTP: discovering high quality partitions in real world graphs. World Wide Web 20(3): 491-514 (2017) - [c47]Haekyu Park, Jinhong Jung, U Kang:
A comparative study of matrix factorization and random walk with restart in recommender systems. BigData 2017: 756-765 - [c46]Kyung-min Kim, Jinhong Jung, Jihee Ryu, Ha-Myung Park, Joseph P. Joohee, Seokwoo Jeong, U Kang, Sung-Hyon Myaeng:
A New Question Answering Approach with Conceptual Graphs. CORIA 2017: 218-234 - [c45]Namyong Park, Sejoon Oh, U Kang:
Fast and Scalable Distributed Boolean Tensor Factorization. ICDE 2017: 1071-1082 - [c44]Jaemin Yoo, Saehan Jo, U Kang:
Supervised Belief Propagation: Scalable Supervised Inference on Attributed Networks. ICDM 2017: 595-604 - [c43]Jinhong Jung, Namyong Park, Lee Sael, U Kang:
BePI: Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart. SIGMOD Conference 2017: 789-804 - [e1]U Kang, Ee-Peng Lim, Jeffrey Xu Yu, Yang-Sae Moon:
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2017 Workshops, MLSDA, BDM, DM-BPM, Jeju, South Korea, May 23, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10526, Springer 2017, ISBN 978-3-319-67273-1 [contents] - [i12]Minji Yoon, Jinhong Jung, U Kang:
TPA: Two Phase Approximation for Random Walk with Restart. CoRR abs/1708.02574 (2017) - [i11]Dongjin Choi, Jun-Gi Jang, U Kang:
Fast, Accurate, and Scalable Method for Sparse Coupled Matrix-Tensor Factorization. CoRR abs/1708.08640 (2017) - [i10]Haekyu Park, Jinhong Jung, U Kang:
A Comparative Study of Matrix Factorization and Random Walk with Restart in Recommender Systems. CoRR abs/1708.09088 (2017) - [i9]Chiwan Park, Ha-Myung Park, Minji Yoon, U Kang:
PMV: Pre-partitioned Generalized Matrix-Vector Multiplication for Scalable Graph Mining. CoRR abs/1709.09099 (2017) - [i8]Sejoon Oh, Namyong Park, Lee Sael, U Kang:
Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries. CoRR abs/1710.02261 (2017) - [i7]Woojeong Jin, Jinhong Jung, U Kang:
Supervised and Extended Restart in Random Walks for Ranking and Link Prediction in Networks. CoRR abs/1710.06609 (2017) - [i6]Haekyu Park, Hyunsik Jeon, Junghwan Kim, Beunguk Ahn, U Kang:
UniWalk: Explainable and Accurate Recommendation for Rating and Network Data. CoRR abs/1710.07134 (2017) - [i5]Minji Yoon, Woojeong Jin, U Kang:
Fast and Accurate Random Walk with Restart on Dynamic Graphs with Guarantees. CoRR abs/1712.00595 (2017) - 2016
- [j14]Jinhong Jung, Kijung Shin, Lee Sael, U Kang:
Random Walk with Restart on Large Graphs Using Block Elimination. ACM Trans. Database Syst. 41(2): 12:1-12:43 (2016) - [j13]Inah Jeon, Evangelos E. Papalexakis, Christos Faloutsos, Lee Sael, U Kang:
Mining billion-scale tensors: algorithms and discoveries. VLDB J. 25(4): 519-544 (2016) - [c42]Min-Hee Jang, Christos Faloutsos, Sang-Wook Kim, U Kang, Jiwoon Ha:
PIN-TRUST: Fast Trust Propagation Exploiting Positive, Implicit, and Negative Information. CIKM 2016: 629-638 - [c41]Namyong Park, Byungsoo Jeon, Jungwoo Lee, U Kang:
BIGtensor: Mining Billion-Scale Tensor Made Easy. CIKM 2016: 2457-2460 - [c40]Byungsoo Jeon, Inah Jeon, Lee Sael, U Kang:
SCouT: Scalable coupled matrix-tensor factorization - algorithm and discoveries. ICDE 2016: 811-822 - [c39]Ha-Myung Park, Namyong Park, Sung-Hyon Myaeng, U Kang:
Partition Aware Connected Component Computation in Distributed Systems. ICDM 2016: 420-429 - [c38]Jinhong Jung, Woojeong Jin, Lee Sael, U Kang:
Personalized Ranking in Signed Networks Using Signed Random Walk with Restart. ICDM 2016: 973-978 - [c37]Ha-Myung Park, Sung-Hyon Myaeng, U Kang:
PTE: Enumerating Trillion Triangles On Distributed Systems. KDD 2016: 1115-1124 - [c36]Hugo Gualdron, Robson L. F. Cordeiro, José Fernando Rodrigues Jr., Duen Horng (Polo) Chau, Minsuk Kahng, U Kang:
M-Flash: Fast Billion-Scale Graph Computation Using a Bimodal Block Processing Model. ECML/PKDD (2) 2016: 623-640 - [i4]Minsoo Jung, Sunmin Lee, Yongsub Lim, U Kang:
FURL: Fixed-memory and Uncertainty Reducing Local Triangle Counting for Graph Streams. CoRR abs/1611.06615 (2016) - 2015
- [j12]Lee Sael, Inah Jeon, U Kang:
Scalable Tensor Mining. Big Data Res. 2(2): 82-86 (2015) - [j11]Jeong-Hoon Park, Chin-Wan Chung, U Kang:
Reverse nearest neighbor search with a non-spatial aspect. Inf. Syst. 54: 92-112 (2015) - [j10]Ho Lee, Bin Shao, U Kang:
Fast graph mining with HBase. Inf. Sci. 315: 56-66 (2015) - [j9]Danai Koutra, U Kang, Jilles Vreeken, Christos Faloutsos:
Summarizing and understanding large graphs. Stat. Anal. Data Min. 8(3): 183-202 (2015) - [c35]Won-Jo Lee, Chae-Gyun Lim, U Kang, Ho-Jin Choi:
An extension of the automatic cross-association method with a 3-dimensional matrix. BigComp 2015: 43-46 - [c34]Yongsub Lim, Won-Jo Lee, Ho-Jin Choi, U Kang:
Discovering large subsets with high quality partitions in real world graphs. BigComp 2015: 186-193 - [c33]Inah Jeon, Evangelos E. Papalexakis, U Kang, Christos Faloutsos:
HaTen2: Billion-scale tensor decompositions. ICDE 2015: 1047-1058 - [c32]Byungsoo Jeon, Inah Jeon, U Kang:
TeGViz: Distributed Tera-Scale Graph Generation and Visualization. ICDM Workshops 2015: 1620-1623 - [c31]Yongsub Lim, U Kang:
MASCOT: Memory-efficient and Accurate Sampling for Counting Local Triangles in Graph Streams. KDD 2015: 685-694 - [c30]Kijung Shin, Jinhong Jung, Lee Sael, U Kang:
BEAR: Block Elimination Approach for Random Walk with Restart on Large Graphs. SIGMOD Conference 2015: 1571-1585 - [i3]Hugo Gualdron, Robson L. F. Cordeiro, José Fernando Rodrigues Jr., Duen Horng Chau, Minsuk Kahng, U Kang:
M-Flash: Fast Billion-scale Graph Computation Using Block Partition Model. CoRR abs/1506.01406 (2015) - 2014
- [j8]U Kang, Brendan Meeder, Evangelos E. Papalexakis, Christos Faloutsos:
HEigen: Spectral Analysis for Billion-Scale Graphs. IEEE Trans. Knowl. Data Eng. 26(2): 350-362 (2014) - [j7]Yongsub Lim, U Kang, Christos Faloutsos:
SlashBurn: Graph Compression and Mining beyond Caveman Communities. IEEE Trans. Knowl. Data Eng. 26(12): 3077-3089 (2014) - [c29]Zhiyuan Lin, Minsuk Kahng, Kaeser Md. Sabrin, Duen Horng (Polo) Chau, Ho Lee, U Kang:
MMap: Fast billion-scale graph computation on a PC via memory mapping. BigData 2014: 159-164 - [c28]Yongsub Lim, Jihoon Choi, U Kang:
Fast, Accurate, and Space-efficient Tracking of Time-weighted Frequent Items from Data Streams. CIKM 2014: 1109-1118 - [c27]Dongyeop Kang, Woosang Lim, Kijung Shin, Lee Sael, U Kang:
Data/Feature Distributed Stochastic Coordinate Descent for Logistic Regression. CIKM 2014: 1269-1278 - [c26]Ha-Myung Park, Francesco Silvestri, U Kang, Rasmus Pagh:
MapReduce Triangle Enumeration With Guarantees. CIKM 2014: 1739-1748 - [c25]Kijung Shin, U Kang:
Distributed Methods for High-Dimensional and Large-Scale Tensor Factorization. ICDM 2014: 989-994 - [c24]Dongyeop Kang, Donggyun Han, Nahea Park, Sangtae Kim, U Kang, Soobin Lee:
Eventera: Real-Time Event Recommendation System from Massive Heterogeneous Online Media. ICDM Workshops 2014: 1211-1214 - [c23]U Kang, Jay Yoon Lee, Danai Koutra, Christos Faloutsos:
Net-Ray: Visualizing and Mining Billion-Scale Graphs. PAKDD (1) 2014: 348-361 - [c22]Danai Koutra, U Kang, Jilles Vreeken, Christos Faloutsos:
VOG: Summarizing and Understanding Large Graphs. SDM 2014: 91-99 - [c21]U Kang, Leman Akoglu, Duen Horng Chau:
Big graph mining for the web and social media: algorithms, anomaly detection, and applications. WSDM 2014: 677-678 - [c20]Jungeun Kim, Minsoo Choy, Daehoon Kim, U Kang:
Link prediction based on generalized cluster information. WWW (Companion Volume) 2014: 317-318 - [p2]U Kang, Christos Faloutsos:
Mining Tera-Scale Graphs with "Pegasus": Algorithms and Discoveries. Large-Scale Data Analytics 2014: 75-99 - [i2]Danai Koutra, U Kang, Jilles Vreeken, Christos Faloutsos:
VoG: Summarizing and Understanding Large Graphs. CoRR abs/1406.3411 (2014) - [i1]Kijung Shin, U Kang:
Distributed Methods for High-dimensional and Large-scale Tensor Factorization. CoRR abs/1410.5209 (2014) - 2013
- [j6]Evangelos E. Papalexakis, U Kang, Christos Faloutsos, Nicholas D. Sidiropoulos, Abhay Harpale:
Large Scale Tensor Decompositions: Algorithmic Developments and Applications. IEEE Data Eng. Bull. 36(3): 59-66 (2013) - [j5]U Kang, Martial Hebert, Soonyong Park:
Fast and scalable approximate spectral graph matching for correspondence problems. Inf. Sci. 220: 306-318 (2013) - [c19]Zhiyuan Lin, Duen Horng (Polo) Chau, U Kang:
Leveraging memory mapping for fast and scalable graph computation on a PC. BigData 2013: 95-98 - [c18]Zhiyuan Lin, Nan Cao, Hanghang Tong, Fei Wang, U Kang, Duen Horng (Polo) Chau:
Demonstrating Interactive Multi-resolution Large Graph Exploration. ICDM Workshops 2013: 1097-1100 - [c17]Jay Yoon Lee, U Kang, Danai Koutra, Christos Faloutsos:
Fast anomaly detection despite the duplicates. WWW (Companion Volume) 2013: 195-196 - [p1]Hanghang Tong, U Kang:
Big Data Clustering. Data Clustering: Algorithms and Applications 2013: 259-276 - 2012
- [j4]U Kang, Christos Faloutsos:
Big graph mining: algorithms and discoveries. SIGKDD Explor. 14(2): 29-36 (2012) - [j3]U Kang, Hanghang Tong, Jimeng Sun, Ching-Yung Lin, Christos Faloutsos:
gbase: an efficient analysis platform for large graphs. VLDB J. 21(5): 637-650 (2012) - [c16]U Kang, Duen Horng Chau, Christos Faloutsos:
Pegasus: Mining billion-scale graphs in the cloud. ICASSP 2012: 5341-5344 - [c15]U Kang, Evangelos E. Papalexakis, Abhay Harpale, Christos Faloutsos:
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries. KDD 2012: 316-324 - [c14]U Kang, Hanghang Tong, Jimeng Sun:
Fast Random Walk Graph Kernel. SDM 2012: 828-838 - [c13]Christos Faloutsos, U Kang:
Managing and mining large graphs: patterns and algorithms. SIGMOD Conference 2012: 585-588 - [c12]Leman Akoglu, Duen Horng Chau, U Kang, Danai Koutra, Christos Faloutsos:
OPAvion: mining and visualization in large graphs. SIGMOD Conference 2012: 717-720 - 2011
- [j2]U Kang, Charalampos E. Tsourakakis, Christos Faloutsos:
PEGASUS: mining peta-scale graphs. Knowl. Inf. Syst. 27(2): 303-325 (2011) - [j1]U Kang, Charalampos E. Tsourakakis, Ana Paula Appel, Christos Faloutsos, Jure Leskovec:
HADI: Mining Radii of Large Graphs. ACM Trans. Knowl. Discov. Data 5(2): 8:1-8:24 (2011) - [c11]U Kang, Duen Horng Chau, Christos Faloutsos:
Mining large graphs: Algorithms, inference, and discoveries. ICDE 2011: 243-254 - [c10]U Kang, Christos Faloutsos:
Beyond 'Caveman Communities': Hubs and Spokes for Graph Compression and Mining. ICDM 2011: 300-309 - [c9]Robson Leonardo Ferreira Cordeiro, Caetano Traina Jr., Agma Juci Machado Traina, Julio César López-Hernández, U Kang, Christos Faloutsos:
Clustering very large multi-dimensional datasets with MapReduce. KDD 2011: 690-698 - [c8]U Kang, Hanghang Tong, Jimeng Sun, Ching-Yung Lin, Christos Faloutsos:
GBASE: a scalable and general graph management system. KDD 2011: 1091-1099 - [c7]U Kang, Brendan Meeder, Christos Faloutsos:
Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation. PAKDD (2) 2011: 13-25 - [c6]Danai Koutra, Tai-You Ke, U Kang, Duen Horng Chau, Hsing-Kuo Kenneth Pao, Christos Faloutsos:
Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms. ECML/PKDD (2) 2011: 245-260 - [c5]U Kang, Spiros Papadimitriou, Jimeng Sun, Hanghang Tong:
Centralities in Large Networks: Algorithms and Observations. SDM 2011: 119-130 - 2010
- [c4]U Kang, Mary McGlohon, Leman Akoglu, Christos Faloutsos:
Patterns on the Connected Components of Terabyte-Scale Graphs. ICDM 2010: 875-880 - [c3]U Kang, Charalampos E. Tsourakakis, Ana Paula Appel, Christos Faloutsos, Jure Leskovec:
Radius Plots for Mining Tera-byte Scale Graphs: Algorithms, Patterns, and Observations. SDM 2010: 548-558
2000 – 2009
- 2009
- [c2]U Kang, Charalampos E. Tsourakakis, Christos Faloutsos:
PEGASUS: A Peta-Scale Graph Mining System. ICDM 2009: 229-238 - [c1]Charalampos E. Tsourakakis, U Kang, Gary L. Miller, Christos Faloutsos:
DOULION: counting triangles in massive graphs with a coin. KDD 2009: 837-846
Coauthor Index
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