Hongliang Fei
Hongliang Fei
Baidu Research USA
Verified email at baidu.com
Title
Cited by
Cited by
Year
Structured Feature Selection and Task Relationship Inference for Multi-task Learning
JH Hongliang Fei
International conference on Data Mining, 2011
56*2011
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
522011
Boosting with structure information in the functional space: an application to graph classification
H Fei, J Huan
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
512010
Structure feature selection for graph classification
H Fei, J Huan
Proceedings of the 17th ACM conference on Information and knowledge …, 2008
482008
A family of joint sparse PCA algorithms for anomaly localization in network data streams
R Jiang, H Fei, J Huan
IEEE Transactions on Knowledge and Data Engineering 25 (11), 2421-2433, 2012
352012
Content based social behavior prediction: a multi-task learning approach
H Fei, R Jiang, Y Yang, B Luo, J Huan
Proceedings of the 20th ACM international conference on Information and …, 2011
332011
Heat pump detection from coarse grained smart meter data with positive and unlabeled learning
H Fei, Y Kim, S Sahu, M Naphade, SK Mamidipalli, J Hutchinson
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
302013
End-to-end Deep Reinforcement Learning Based Coreference Resolution
H Fei, X Li, D Li, P Li
Proceedings of the 57th Conference of the Association for Computational …, 2019
232019
Augmented LSTM framework to construct medical self-diagnosis android
C Liu, H Sun, N Du, S Tan, H Fei, W Fan, T Yang, H Wu, Y Li, C Zhang
2016 IEEE 16th International Conference on Data Mining (ICDM), 251-260, 2016
192016
Computational prediction of toxicity
M Mishra, H Fei, J Huan
2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2010
162010
L2 norm regularized feature kernel regression for graph data
H Fei, J Huan
Proceedings of the 18th ACM conference on Information and knowledge …, 2009
132009
Analytics for understanding customer behavior in the energy and utility industry
Y Kim, A Aravkin, H Fei, A Zondervan, M Wolf
IBM Journal of Research and Development 60 (1), 11: 1-11: 13, 2016
122016
Structured sparse boosting for graph classification
H Fei, J Huan
ACM Transactions on Knowledge Discovery from Data (TKDD) 9 (1), 1-22, 2014
122014
Regularization and feature selection for networked features
H Fei, B Quanz, J Huan
Proceedings of the 19th ACM international conference on Information and …, 2010
112010
Automated medical diagnosis by ranking clusters across the symptom-disease network
J Ni, H Fei, W Fan, X Zhang
2017 IEEE International Conference on Data Mining (ICDM), 1009-1014, 2017
92017
Cross-lingual unsupervised sentiment classification with multi-view transfer learning
H Fei, P Li
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
82020
Coreference Aware Representation Learning for Neural Named Entity Recognition
Z Dai, H Fei, P Li
Proceedings of the 28th International Joint Conference on Artificial …, 2019
82019
Hierarchical multi-task word embedding learning for synonym prediction
H Fei, S Tan, P Li
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
82019
Mobility enhanced advertising on internet protocol television
H Fei, M Li, S Sahu
US Patent 9,584,836, 2017
82017
Semi-supervised clustering of graph objects: A subgraph mining approach
X Huang, H Cheng, J Yang, JX Yu, H Fei, J Huan
International Conference on Database Systems for Advanced Applications, 197-212, 2012
82012
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