Namyong Park
Titolo
Citata da
Citata da
Anno
Bepi: Fast and memory-efficient method for billion-scale random walk with restart
J Jung, N Park, S Lee, U Kang
Proceedings of the 2017 ACM International Conference on Management of Data …, 2017
322017
Bigtensor: Mining billion-scale tensor made easy
N Park, B Jeon, J Lee, U Kang
Proceedings of the 25th ACM International on Conference on Information and …, 2016
292016
Scalable tucker factorization for sparse tensors-algorithms and discoveries
S Oh, N Park, S Lee, U Kang
2018 IEEE 34th International Conference on Data Engineering (ICDE), 1120-1131, 2018
252018
Estimating node importance in knowledge graphs using graph neural networks
N Park, A Kan, XL Dong, T Zhao, C Faloutsos
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
212019
Fast and scalable distributed boolean tensor factorization
N Park, S Oh, U Kang
2017 IEEE 33rd International Conference on Data Engineering (ICDE), 1071-1082, 2017
132017
Partition aware connected component computation in distributed systems
HM Park, N Park, SH Myaeng, U Kang
2016 IEEE 16th International Conference on Data Mining (ICDM), 420-429, 2016
92016
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
82019
Fast and scalable method for distributed boolean tensor factorization
N Park, S Oh, U Kang
The VLDB Journal 28 (4), 549-574, 2019
72019
Evolving the best known approximation to the q function
DN Phong, NX Hoai, RI McKay, C Siriteanu, NQ Uy, N Park
Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012
72012
Predicting acute kidney injury in cancer patients using heterogeneous and irregular data
N Park, E Kang, M Park, H Lee, HG Kang, HJ Yoon, U Kang
PloS one 13 (7), e0199839, 2018
42018
Acute kidney injury predicts all‐cause mortality in patients with cancer
E Kang, M Park, PG Park, N Park, Y Jung, U Kang, HG Kang, DK Kim, ...
Cancer medicine 8 (6), 2740-2750, 2019
32019
Improvement of complex and refractory ecological models: Riverine water quality modelling using evolutionary computation
MH Kim, N Park, RIB McKay, H Shin, YG Lee, KS Jeong, DK Kim
Ecological modelling 291, 205-217, 2014
32014
Cutting evaluation costs: An investigation into early termination in genetic programming
N Park, K Kim, RI McKay
2013 IEEE Congress on Evolutionary Computation, 3291-3298, 2013
22013
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals
N Park, A Kan, XL Dong, T Zhao, C Faloutsos
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
12020
PACC: Large scale connected component computation on Hadoop and Spark
HM Park, N Park, SH Myaeng, U Kang
PLOS ONE 15 (3), e0229936, 2020
12020
J-Recs: Principled and Scalable Recommendation Justification
N Park, A Kan, C Faloutsos, XL Dong
arXiv preprint arXiv:2011.05928, 2020
2020
Dropout Prediction over Weeks in MOOCs via Interpretable Multi-Layer Representation Learning
B Jeon, N Park, S Bang
arXiv preprint arXiv:2002.01598, 2020
2020
Dropout Prediction over Weeks in MOOCs by Learning Representations of Clicks and Videos
B Jeon, N Park
arXiv preprint arXiv:2002.01955, 2020
2020
A Distributed Vertex Rearrangement Algorithm for Compressing and Mining Big Graphs
N Park, C Park, U Kang
Journal of KIISE 43 (10), 1131-1143, 2016
2016
INFOSHIELD: Generalizable Information-Theoretic Human-Trafficking Detection
MC Lee, C Vajiac, A Kulshrestha, S Levy, N Park, C Jones, R Rabbany, ...
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Articoli 1–20