Jun (Luke)  Huan
Jun (Luke) Huan
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Efficient mining of frequent subgraphs in the presence of isomorphism
J Huan, W Wang, J Prins
Third IEEE international conference on data mining, 549-552, 2003
The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models
L Shi, G Campbell, WD Jones, F Campagne, Z Wen, SJ Walker, Z Su, ...
Nature biotechnology 28 (8), 827, 2010
Spin: mining maximal frequent subgraphs from graph databases
J Huan, W Wang, J Prins, J Yang
Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004
Deep-learning: investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data
A Koutsoukas, KJ Monaghan, X Li, J Huan
Journal of cheminformatics 9 (1), 1-13, 2017
Graph database indexing using structured graph decomposition
DW Williams, J Huan, W Wang
2007 IEEE 23rd International Conference on Data Engineering, 976-985, 2006
UTS: An unbalanced tree search benchmark
S Olivier, J Huan, J Liu, J Prins, J Dinan, P Sadayappan, CW Tseng
Languages and Compilers for Parallel Computing: 19th International Workshop …, 2007
Mining protein family specific residue packing patterns from protein structure graphs
J Huan, W Wang, D Bandyopadhyay, J Snoeyink, J Prins, A Tropsha
Proceedings of the eighth annual international conference on Research in …, 2004
Large margin transductive transfer learning
B Quanz, J Huan
Proceedings of the 18th ACM conference on Information and knowledge …, 2009
DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks
X Li, H Xiong, H Wang, Y Rao, L Liu, J Huan
The Seventh International Conference on Learning Representations (ICLR'19), 2019
Comparing graph representations of protein structure for mining family-specific residue-based packing motifs
J Huan, D Bandyopadhyay, W Wang, J Snoeyink, J Prins, A Tropsha
Journal of Computational Biology 12 (6), 657-671, 2005
Inductive multi-task learning with multiple view data
J Zhang, J Huan
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
Knowledge transfer with low-quality data: A feature extraction issue
B Quanz, J Huan, M Mishra
IEEE Transactions on Knowledge and Data Engineering 24 (10), 1789-1802, 2012
Accurate classification of protein structural families using coherent subgraph analysis
J Huan, W Wang, A Washington, J Prins, R Shah, A Tropsha
Biocomputing 2004, 411-422, 2003
An efficient graph-mining method for complicated and noisy data with real-world applications
Y Jia, J Zhang, J Huan
Knowledge and Information Systems 28, 423-447, 2011
On the noisy gradient descent that generalizes as sgd
J Wu, W Hu, H Xiong, J Huan, V Braverman, Z Zhu
International Conference on Machine Learning, 10367-10376, 2020
Structured feature selection and task relationship inference for multi-task learning
H Fei, J Huan
Knowledge and information systems 35, 345-364, 2013
Anomaly localization for network data streams with graph joint sparse PCA
R Jiang, H Fei, J Huan
Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011
G-hash: towards fast kernel-based similarity search in large graph databases
X Wang, A Smalter, J Huan, GH Lushington
Proceedings of the 12th international conference on extending database …, 2009
Structure‐based function inference using protein family‐specific fingerprints
D Bandyopadhyay, J Huan, J Liu, J Prins, J Snoeyink, W Wang, ...
Protein Science 15 (6), 1537-1543, 2006
Data dropout: Optimizing training data for convolutional neural networks
T Wang, J Huan, B Li
2018 IEEE 30th international conference on tools with artificial …, 2018
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