Bokai Cao

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 52

Top Topics

Unsupervised Feature Selection

Heterogeneous Information Networks

Information Networks

Top Venues

Publications

Jieying Zhou, Junyao Zheng, Bokai Cao, Weigang Wu
MVMAFOL: A Multi-Access Three-Layer Federated Online Learning Algorithm for Internet of Vehicles. IJCNN (2023)
Danyang Xiao, Bokai Cao, Weigang Wu
EFL-WP: Federated Learning-Based Workload Prediction in Inter-Cloud Environments. IJCNN (2022)
Bokai Cao, Weigang Wu, Congcong Zhan, Jieying Zhou
Reuse of Client Models in Federated Learning. SMARTCOMP (2022)
Chengang Yang, Danyang Xiao, Bokai Cao, Weigang Wu
RTGA: Robust ternary gradients aggregation for federated learning. Inf. Sci. 616 (2022)
Lichao Sun, Bokai Cao, Ji Wang, Witawas Srisa-an, Philip S. Yu, Alex D. Leow, Stephen Checkoway
Kollector: Detecting Fraudulent Activities on Mobile Devices Using Deep Learning. IEEE Trans. Mob. Comput. 20 (4) (2021)
Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu
Private Model Compression via Knowledge Distillation. AAAI (2019)
Ye Liu, Lifang He, Bokai Cao, Philip S. Yu, Ann B. Ragin, Alex D. Leow
Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis. CoRR (2018)
Ji Wang, Jianguo Zhang, Weidong Bao, Xiaomin Zhu, Bokai Cao, Philip S. Yu
Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud. CoRR (2018)
Lichao Sun, Lifang He, Zhipeng Huang, Bokai Cao, Congying Xia, Xiaokai Wei, Philip S. Yu
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks. ICBK (2018)
Ye Liu, Lifang He, Bokai Cao, Philip S. Yu, Ann B. Ragin, Alex D. Leow
Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis. AAAI (2018)
Ji Wang, Jianguo Zhang, Weidong Bao, Xiaomin Zhu, Bokai Cao, Philip S. Yu
Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud. KDD (2018)
He Huang, Bokai Cao, Philip S. Yu, Chang-Dong Wang, Alex D. Leow
dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction. CoRR (2018)
Chun-Ta Lu, Lifang He, Hao Ding, Bokai Cao, Philip S. Yu
Learning from Multi-View Multi-Way Data via Structural Factorization Machines. WWW (2018)
Ji Wang, Bokai Cao, Philip S. Yu, Lichao Sun, Weidong Bao, Xiaomin Zhu
Deep Learning Towards Mobile Applications. CoRR (2018)
Ji Wang, Bokai Cao, Philip S. Yu, Lichao Sun, Weidong Bao, Xiaomin Zhu
Deep Learning towards Mobile Applications. ICDCS (2018)
Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu
Private Model Compression via Knowledge Distillation. CoRR (2018)
Bokai Cao
Broad Learning for Healthcare. CoRR (2018)
Lichao Sun, Lifang He, Zhipeng Huang, Bokai Cao, Congying Xia, Xiaokai Wei, Philip S. Yu
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks. CoRR (2018)
He Huang, Bokai Cao, Philip S. Yu, Chang-Dong Wang, Alex D. Leow
dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction. ICDM (2018)
Bokai Cao, Lei Zheng, Chenwei Zhang, Philip S. Yu, Andrea Piscitello, John Zulueta, Olu Ajilore, Kelly Ryan, Alex D. Leow
DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection. CoRR (2018)
Xiaokai Wei, Linchuan Xu, Bokai Cao, Philip S. Yu
Cross View Link Prediction by Learning Noise-resilient Representation Consensus. WWW (2017)
Lichao Sun, Yuqi Wang, Bokai Cao, Philip S. Yu, Witawas Srisa-an, Alex D. Leow
Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning. CoRR (2017)
Lei Zheng, Bokai Cao, Vahid Noroozi, Philip S. Yu, Nianzu Ma
Hierarchical collaborative embedding for context-aware recommendations. IEEE BigData (2017)
Lichao Sun, Yuqi Wang, Bokai Cao, Philip S. Yu, Witawas Srisa-an, Alex D. Leow
Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning. ECML/PKDD (3) (2017)
Bokai Cao, Mia Mao, Siim Viidu, Philip S. Yu
Collective Fraud Detection Capturing Inter-Transaction Dependency. ADF@KDD (2017)
Xiaokai Wei, Sihong Xie, Bokai Cao, Philip S. Yu
Rethinking Unsupervised Feature Selection: From Pseudo Labels to Pseudo Must-Links. ECML/PKDD (1) (2017)
Xiaokai Wei, Bokai Cao, Philip S. Yu
Multi-view Unsupervised Feature Selection by Cross-diffused Matrix Alignment. CoRR (2017)
Bokai Cao, Lei Zheng, Chenwei Zhang, Philip S. Yu, Andrea Piscitello, John Zulueta, Olu Ajilore, Kelly Ryan, Alex D. Leow
DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection. KDD (2017)
Jingyuan Zhang, Chun-Ta Lu, Bokai Cao, Yi Chang, Philip S. Yu
Connecting emerging relationships from news via tensor factorization. IEEE BigData (2017)
Chun-Ta Lu, Lifang He, Weixiang Shao, Bokai Cao, Philip S. Yu
Multilinear Factorization Machines for Multi-Task Multi-View Learning. WSDM (2017)
Lei Zheng, Jingyuan Zhang, Bokai Cao, Philip S. Yu, Ann B. Ragin
A novel ensemble approach on regionalized neural networks for brain disorder prediction. SAC (2017)
Xiaokai Wei, Bokai Cao, Philip S. Yu
Multi-view unsupervised feature selection by cross-diffused matrix alignment. IJCNN (2017)
Shen Wang, Lifang He, Bokai Cao, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin
Structural Deep Brain Network Mining. KDD (2017)
Xiaokai Wei, Bokai Cao, Philip S. Yu
Unsupervised Feature Selection with Heterogeneous Side Information. CIKM (2017)
Bokai Cao, Mia Mao, Siim Viidu, Philip S. Yu
HitFraud: A Broad Learning Approach for Collective Fraud Detection in Heterogeneous Information Networks. ICDM (2017)
Bokai Cao, Lifang He, Xiaokai Wei, Mengqi Xing, Philip S. Yu, Heide Klumpp, Alex D. Leow
t-BNE: Tensor-based Brain Network Embedding. SDM (2017)
Bokai Cao, Mia Mao, Siim Viidu, Philip S. Yu
HitFraud: A Broad Learning Approach for Collective Fraud Detection in Heterogeneous Information Networks. CoRR (2017)
Bokai Cao, Hucheng Zhou, Guoqiang Li, Philip S. Yu
Multi-view Machines. WSDM (2016)
Xiaokai Wei, Bokai Cao, Weixiang Shao, Chun-Ta Lu, Philip S. Yu
Community detection with partially observable links and node attributes. IEEE BigData (2016)
Xiaokai Wei, Bokai Cao, Philip S. Yu
Nonlinear Joint Unsupervised Feature Selection. SDM (2016)
Guixiang Ma, Lifang He, Bokai Cao, Jiawei Zhang, Philip S. Yu, Ann B. Ragin
Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain Networks. ECML/PKDD (1) (2016)
Xiaokai Wei, Bokai Cao, Philip S. Yu
Unsupervised Feature Selection on Networks: A Generative View. AAAI (2016)
Jingyuan Zhang, Bokai Cao, Sihong Xie, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin
Identifying Connectivity Patterns for Brain Diseases via Multi-side-view Guided Deep Architectures. SDM (2016)
Bokai Cao, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu, Alex D. Leow
Semi-supervised Tensor Factorization for Brain Network Analysis. ECML/PKDD (1) (2016)
Bokai Cao, Xiangnan Kong, Jingyuan Zhang, Philip S. Yu, Ann B. Ragin
Mining Brain Networks Using Multiple Side Views for Neurological Disorder Identification. ICDM (2015)
Bokai Cao, Xiangnan Kong, Philip S. Yu
A review of heterogeneous data mining for brain disorder identification. Brain Informatics 2 (4) (2015)
Bokai Cao, Francine Chen, Dhiraj Joshi, Philip S. Yu
Inferring crowd-sourced venues for tweets. IEEE BigData (2015)
Bokai Cao, Xiangnan Kong, Jingyuan Zhang, Philip S. Yu, Ann B. Ragin
Mining Brain Networks using Multiple Side Views for Neurological Disorder Identification. CoRR (2015)
Bokai Cao, Liang Zhan, Xiangnan Kong, Philip S. Yu, Nathalie Vizueta, Lori L. Altshuler, Alex D. Leow
Identification of Discriminative Subgraph Patterns in fMRI Brain Networks in Bipolar Affective Disorder. BIH (2015)
Bokai Cao, Hucheng Zhou, Philip S. Yu
Multi-view Machines. CoRR (2015)
Bokai Cao, Xiangnan Kong, Jingyuan Zhang, Philip S. Yu, Ann B. Ragin
Identifying HIV-induced subgraph patterns in brain networks with side information. Brain Informatics 2 (4) (2015)
Bokai Cao, Xiangnan Kong, Philip S. Yu
A review of heterogeneous data mining for brain disorders. CoRR (2015)
Bokai Cao, Xiangnan Kong, Philip S. Yu
Collective Prediction of Multiple Types of Links in Heterogeneous Information Networks. ICDM (2014)
Bokai Cao, Lifang He, Xiangnan Kong, Philip S. Yu, Zhifeng Hao, Ann B. Ragin
Tensor-Based Multi-view Feature Selection with Applications to Brain Diseases. ICDM (2014)
Xiangnan Kong, Bokai Cao, Philip S. Yu, Ying Ding, David J. Wild
Meta Path-Based Collective Classification in Heterogeneous Information Networks CoRR (2013)
Xiangnan Kong, Bokai Cao, Philip S. Yu
Multi-label classification by mining label and instance correlations from heterogeneous information networks. KDD (2013)