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2020 – today
- 2023
[c37]Jieying Zhou, Junyao Zheng, Bokai Cao, Weigang Wu:
MVMAFOL: A Multi-Access Three-Layer Federated Online Learning Algorithm for Internet of Vehicles. IJCNN 2023: 1-8- 2022
- [j4]Chengang Yang, Danyang Xiao, Bokai Cao, Weigang Wu:
RTGA: Robust ternary gradients aggregation for federated learning. Inf. Sci. 616: 427-443 (2022) - [c36]Danyang Xiao, Bokai Cao, Weigang Wu:
EFL-WP: Federated Learning-Based Workload Prediction in Inter-Cloud Environments. IJCNN 2022: 1-10 - [c35]Bokai Cao, Weigang Wu, Congcong Zhan, Jieying Zhou:
Reuse of Client Models in Federated Learning. SMARTCOMP 2022: 356-361 - 2021
- [j3]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): 1465-1476 (2021)
2010 – 2019
- 2019
- [c34]Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu:
Private Model Compression via Knowledge Distillation. AAAI 2019: 1190-1197 - 2018
- [c33]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: 117-124 - [c32]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: 131-138 - [c31]Ji Wang, Bokai Cao, Philip S. Yu, Lichao Sun, Weidong Bao, Xiaomin Zhu:
Deep Learning towards Mobile Applications. ICDCS 2018: 1385-1393 - [c30]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: 157-166 - [c29]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: 2407-2416 - [c28]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: 1593-1602 - [i15]Bokai Cao:
Broad Learning for Healthcare. CoRR abs/1803.08978 (2018) - [i14]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 abs/1803.08986 (2018) - [i13]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 abs/1806.07703 (2018) - [i12]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 abs/1808.09852 (2018) - [i11]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 abs/1809.03428 (2018) - [i10]Ji Wang, Bokai Cao, Philip S. Yu, Lichao Sun, Weidong Bao, Xiaomin Zhu:
Deep Learning Towards Mobile Applications. CoRR abs/1809.03559 (2018) - [i9]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 abs/1809.04110 (2018) - [i8]Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu:
Private Model Compression via Knowledge Distillation. CoRR abs/1811.05072 (2018) - 2017
- [c27]Lei Zheng, Bokai Cao, Vahid Noroozi, Philip S. Yu, Nianzu Ma:
Hierarchical collaborative embedding for context-aware recommendations. IEEE BigData 2017: 867-876 - [c26]Jingyuan Zhang, Chun-Ta Lu, Bokai Cao, Yi Chang, Philip S. Yu:
Connecting emerging relationships from news via tensor factorization. IEEE BigData 2017: 1223-1232 - [c25]Xiaokai Wei, Bokai Cao, Philip S. Yu:
Unsupervised Feature Selection with Heterogeneous Side Information. CIKM 2017: 2359-2362 - [c24]Bokai Cao, Mia Mao, Siim Viidu, Philip S. Yu:
HitFraud: A Broad Learning Approach for Collective Fraud Detection in Heterogeneous Information Networks. ICDM 2017: 769-774 - [c23]Xiaokai Wei, Bokai Cao, Philip S. Yu:
Multi-view unsupervised feature selection by cross-diffused matrix alignment. IJCNN 2017: 494-501 - [c22]Bokai Cao, Mia Mao, Siim Viidu, Philip S. Yu:
Collective Fraud Detection Capturing Inter-Transaction Dependency. ADF@KDD 2017: 66-75 - [c21]Shen Wang, Lifang He, Bokai Cao, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin:
Structural Deep Brain Network Mining. KDD 2017: 475-484 - [c20]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: 747-755 - [c19]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: 228-240 - [c18]Xiaokai Wei, Sihong Xie, Bokai Cao, Philip S. Yu:
Rethinking Unsupervised Feature Selection: From Pseudo Labels to Pseudo Must-Links. ECML/PKDD (1) 2017: 272-287 - [c17]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: 817-823 - [c16]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: 189-197 - [c15]Chun-Ta Lu, Lifang He, Weixiang Shao, Bokai Cao, Philip S. Yu:
Multilinear Factorization Machines for Multi-Task Multi-View Learning. WSDM 2017: 701-709 - [c14]Xiaokai Wei, Linchuan Xu, Bokai Cao, Philip S. Yu:
Cross View Link Prediction by Learning Noise-resilient Representation Consensus. WWW 2017: 1611-1619 - [i7]Xiaokai Wei, Bokai Cao, Philip S. Yu:
Multi-view Unsupervised Feature Selection by Cross-diffused Matrix Alignment. CoRR abs/1705.00825 (2017) - [i6]Bokai Cao, Mia Mao, Siim Viidu, Philip S. Yu:
HitFraud: A Broad Learning Approach for Collective Fraud Detection in Heterogeneous Information Networks. CoRR abs/1709.04129 (2017) - [i5]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 abs/1711.02703 (2017) - 2016
- [c13]Xiaokai Wei, Bokai Cao, Philip S. Yu:
Unsupervised Feature Selection on Networks: A Generative View. AAAI 2016: 2215-2221 - [c12]Xiaokai Wei, Bokai Cao, Weixiang Shao, Chun-Ta Lu, Philip S. Yu:
Community detection with partially observable links and node attributes. IEEE BigData 2016: 773-782 - [c11]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: 17-32 - [c10]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: 476-492 - [c9]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: 36-44 - [c8]Xiaokai Wei, Bokai Cao, Philip S. Yu:
Nonlinear Joint Unsupervised Feature Selection. SDM 2016: 414-422 - [c7]Bokai Cao, Hucheng Zhou, Guoqiang Li, Philip S. Yu:
Multi-view Machines. WSDM 2016: 427-436 - 2015
- [j2]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): 211-223 (2015) - [j1]Bokai Cao, Xiangnan Kong, Philip S. Yu:
A review of heterogeneous data mining for brain disorder identification. Brain Informatics 2(4): 253-264 (2015) - [c6]Bokai Cao, Francine Chen, Dhiraj Joshi, Philip S. Yu:
Inferring crowd-sourced venues for tweets. IEEE BigData 2015: 639-648 - [c5]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: 105-114 - [c4]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: 709-714 - [i4]Bokai Cao, Hucheng Zhou, Philip S. Yu:
Multi-view Machines. CoRR abs/1506.01110 (2015) - [i3]Bokai Cao, Xiangnan Kong, Philip S. Yu:
A review of heterogeneous data mining for brain disorders. CoRR abs/1508.01023 (2015) - [i2]Bokai Cao, Xiangnan Kong, Jingyuan Zhang, Philip S. Yu, Ann B. Ragin:
Mining Brain Networks using Multiple Side Views for Neurological Disorder Identification. CoRR abs/1508.04554 (2015) - 2014
- [c3]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: 40-49 - [c2]Bokai Cao, Xiangnan Kong, Philip S. Yu:
Collective Prediction of Multiple Types of Links in Heterogeneous Information Networks. ICDM 2014: 50-59 - 2013
- [c1]Xiangnan Kong, Bokai Cao, Philip S. Yu:
Multi-label classification by mining label and instance correlations from heterogeneous information networks. KDD 2013: 614-622 - [i1]Xiangnan Kong, Bokai Cao, Philip S. Yu, Ying Ding, David J. Wild:
Meta Path-Based Collective Classification in Heterogeneous Information Networks. CoRR abs/1305.4433 (2013)
Coauthor Index
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