Bokai Cao

Weigang Wu

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Kollector: Detecting Fraudulent Activities on Mobile Devices Using Deep Learning.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2021

2019

Private Model Compression via Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Broad Learning for Healthcare.

[BibT_eX]

[DOI]

CoRR, 2018

Learning from Multi-View Multi-Way Data via Structural Factorization Machines.

[BibT_eX]

[DOI]

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Deep Learning towards Mobile Applications.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Cross View Link Prediction by Learning Noise-resilient Representation Consensus.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on World Wide Web, 2017

Multilinear Factorization Machines for Multi-Task Multi-View Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

t-BNE: Tensor-based Brain Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

A novel ensemble approach on regionalized neural networks for brain disorder prediction.

[BibT_eX]

[DOI]

Proceedings of the Symposium on Applied Computing, 2017

Rethinking Unsupervised Feature Selection: From Pseudo Labels to Pseudo Must-Links.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Structural Deep Brain Network Mining.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Collective Fraud Detection Capturing Inter-Transaction Dependency.

[BibT_eX]

[DOI]

Proceedings of the KDD 2017 Workshop on Anomaly Detection in Finance, 2017

Multi-view unsupervised feature selection by cross-diffused matrix alignment.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

HitFraud: A Broad Learning Approach for Collective Fraud Detection in Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Unsupervised Feature Selection with Heterogeneous Side Information.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Hierarchical collaborative embedding for context-aware recommendations.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Connecting emerging relationships from news via tensor factorization.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Multi-view Machines.

[BibT_eX]

[DOI]

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Identifying Connectivity Patterns for Brain Diseases via Multi-side-view Guided Deep Architectures.

[BibT_eX]

[DOI]

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Nonlinear Joint Unsupervised Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain Networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Semi-supervised Tensor Factorization for Brain Network Analysis.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Community detection with partially observable links and node attributes.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Unsupervised Feature Selection on Networks: A Generative View.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Multi-view Machines.

[BibT_eX]

[DOI]

Hucheng Zhou

CoRR, 2015

A review of heterogeneous data mining for brain disorders.

[BibT_eX]

[DOI]

CoRR, 2015

Identifying HIV-induced subgraph patterns in brain networks with side information.

[BibT_eX]

[DOI]

Brain Informatics, 2015

A review of heterogeneous data mining for brain disorder identification.

[BibT_eX]

[DOI]

Brain Informatics, 2015

Mining Brain Networks Using Multiple Side Views for Neurological Disorder Identification.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Identification of Discriminative Subgraph Patterns in fMRI Brain Networks in Bipolar Affective Disorder.

[BibT_eX]

[DOI]

Proceedings of the Brain Informatics and Health - 8th International Conference, 2015

Inferring crowd-sourced venues for tweets.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

Collective Prediction of Multiple Types of Links in Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Tensor-Based Multi-view Feature Selection with Applications to Brain Diseases.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013

Meta Path-Based Collective Classification in Heterogeneous Information Networks

[BibT_eX]

[DOI]

CoRR, 2013

Multi-label classification by mining label and instance correlations from heterogeneous information networks.

[BibT_eX]

[DOI]