Multi-label classification by mining label and instance correlations from heterogeneous information networks. - Xiangnan Kong; Bokai Cao; Philip S. Yu (KDD, 2013)

Meta Path-Based Collective Classification in Heterogeneous Information Networks - Xiangnan Kong; Bokai Cao; Philip S. Yu; Ying Ding 001; David J. Wild 001 (CoRR, 2013)

Tensor-Based Multi-view Feature Selection with Applications to Brain Diseases. - Bokai Cao; Lifang He 001; Xiangnan Kong; Philip S. Yu; Zhifeng Hao; Ann B. Ragin (ICDM, 2014)

Collective Prediction of Multiple Types of Links in Heterogeneous Information Networks. - Bokai Cao; Xiangnan Kong; Philip S. Yu (ICDM, 2014)

Inferring crowd-sourced venues for tweets. - Bokai Cao; Francine Chen 001; Dhiraj Joshi; Philip S. Yu (IEEE BigData, 2015)

Identification of Discriminative Subgraph Patterns in fMRI Brain Networks in Bipolar Affective Disorder. - Bokai Cao; Liang Zhan; Xiangnan Kong; Philip S. Yu; Nathalie Vizueta; Lori L. Altshuler; Alex D. Leow (BIH, 2015)

Mining Brain Networks Using Multiple Side Views for Neurological Disorder Identification. - Bokai Cao; Xiangnan Kong; Jingyuan Zhang; Philip S. Yu; Ann B. Ragin (ICDM, 2015)

A review of heterogeneous data mining for brain disorder identification. - Bokai Cao; Xiangnan Kong; Philip S. Yu (Brain Informatics, 2015)

Identifying HIV-induced subgraph patterns in brain networks with side information. - Bokai Cao; Xiangnan Kong; Jingyuan Zhang; Philip S. Yu; Ann B. Ragin (Brain Informatics, 2015)

A review of heterogeneous data mining for brain disorders. - Bokai Cao; Xiangnan Kong; Philip S. Yu (CoRR, 2015)

Multi-view Machines. - Bokai Cao; Hucheng Zhou; Philip S. Yu (CoRR, 2015)

Unsupervised Feature Selection on Networks: A Generative View. - Xiaokai Wei; Bokai Cao; Philip S. Yu (AAAI, 2016)

Community detection with partially observable links and node attributes. - Xiaokai Wei; Bokai Cao; Weixiang Shao; Chun-Ta Lu; Philip S. Yu (IEEE BigData, 2016)

Semi-supervised Tensor Factorization for Brain Network Analysis. - Bokai Cao; Chun-Ta Lu; Xiaokai Wei; Philip S. Yu; Alex D. Leow (ECML/PKDD (1), 2016)

Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain Networks. - Guixiang Ma; Lifang He 001; Bokai Cao; Jiawei Zhang 001; Philip S. Yu; Ann B. Ragin (ECML/PKDD (1), 2016)

Nonlinear Joint Unsupervised Feature Selection. - Xiaokai Wei; Bokai Cao; Philip S. Yu (SDM, 2016)

Identifying Connectivity Patterns for Brain Diseases via Multi-side-view Guided Deep Architectures. - Jingyuan Zhang; Bokai Cao; Sihong Xie; Chun-Ta Lu; Philip S. Yu; Ann B. Ragin (SDM, 2016)

Multi-view Machines. - Bokai Cao; Hucheng Zhou; Guoqiang Li 008; Philip S. Yu (WSDM, 2016)

Connecting emerging relationships from news via tensor factorization. - Jingyuan Zhang; Chun-Ta Lu; Bokai Cao; Yi Chang 001; Philip S. Yu (IEEE BigData, 2017)

Hierarchical collaborative embedding for context-aware recommendations. - Lei Zheng 001; Bokai Cao; Vahid Noroozi; Philip S. Yu; Nianzu Ma (IEEE BigData, 2017)

Unsupervised Feature Selection with Heterogeneous Side Information. - Xiaokai Wei; Bokai Cao; Philip S. Yu (CIKM, 2017)

HitFraud: A Broad Learning Approach for Collective Fraud Detection in Heterogeneous Information Networks. - Bokai Cao; Mia Mao; Siim Viidu; Philip S. Yu (ICDM, 2017)

Multi-view unsupervised feature selection by cross-diffused matrix alignment. - Xiaokai Wei; Bokai Cao; Philip S. Yu (IJCNN, 2017)

Collective Fraud Detection Capturing Inter-Transaction Dependency. - Bokai Cao; Mia Mao; Siim Viidu; Philip S. Yu (ADF@KDD, 2017)

DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection. - Bokai Cao; Lei Zheng 001; Chenwei Zhang; Philip S. Yu; Andrea Piscitello; John Zulueta; Olu Ajilore; Kelly Ryan; Alex D. Leow (KDD, 2017)

Structural Deep Brain Network Mining. - Shen Wang 005; Lifang He 001; Bokai Cao; Chun-Ta Lu; Philip S. Yu; Ann B. Ragin (KDD, 2017)

Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning. - Lichao Sun 001; Yuqi Wang; Bokai Cao; Philip S. Yu; Witawas Srisa-an; Alex D. Leow (ECML/PKDD (3), 2017)

Rethinking Unsupervised Feature Selection: From Pseudo Labels to Pseudo Must-Links. - Xiaokai Wei; Sihong Xie; Bokai Cao; Philip S. Yu (ECML/PKDD (1), 2017)

A novel ensemble approach on regionalized neural networks for brain disorder prediction. - Lei Zheng 001; Jingyuan Zhang; Bokai Cao; Philip S. Yu; Ann B. Ragin (SAC, 2017)

t-BNE: Tensor-based Brain Network Embedding. - Bokai Cao; Lifang He 001; Xiaokai Wei; Mengqi Xing; Philip S. Yu; Heide Klumpp; Alex D. Leow (SDM, 2017)

Multilinear Factorization Machines for Multi-Task Multi-View Learning. - Chun-Ta Lu; Lifang He 001; Weixiang Shao; Bokai Cao; Philip S. Yu (WSDM, 2017)

Cross View Link Prediction by Learning Noise-resilient Representation Consensus. - Xiaokai Wei; Linchuan Xu; Bokai Cao; Philip S. Yu (WWW, 2017)

Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis. - Ye Liu 006; Lifang He 001; Bokai Cao; Philip S. Yu; Ann B. Ragin; Alex D. Leow (AAAI, 2018)

Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks. - Lichao Sun 001; Lifang He 001; Zhipeng Huang 001; Bokai Cao; Congying Xia; Xiaokai Wei; Philip S. Yu (ICBK, 2018)

Deep Learning towards Mobile Applications. - Ji Wang 002; Bokai Cao; Philip S. Yu; Lichao Sun 001; Weidong Bao 001; Xiaomin Zhu 001 (ICDCS, 2018)

dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction. - He Huang 008; Bokai Cao; Philip S. Yu; Chang-Dong Wang 001; Alex D. Leow (ICDM, 2018)

Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud. - Ji Wang 002; Jianguo Zhang 005; Weidong Bao 001; Xiaomin Zhu 001; Bokai Cao; Philip S. Yu (KDD, 2018)

Learning from Multi-View Multi-Way Data via Structural Factorization Machines. - Chun-Ta Lu; Lifang He 001; Hao Ding 003; Bokai Cao; Philip S. Yu (WWW, 2018)

Broad Learning for Healthcare. - Bokai Cao (CoRR, 2018)

Private Model Compression via Knowledge Distillation. - Ji Wang 002; Weidong Bao 001; Lichao Sun 001; Xiaomin Zhu 001; Bokai Cao; Philip S. Yu (AAAI, 2019)

Kollector: Detecting Fraudulent Activities on Mobile Devices Using Deep Learning. - Lichao Sun 001; Bokai Cao; Ji Wang 002; Witawas Srisa-an; Philip S. Yu; Alex D. Leow; Stephen Checkoway (IEEE Trans. Mob. Comput., 2021)

EFL-WP: Federated Learning-Based Workload Prediction in Inter-Cloud Environments. - Danyang Xiao; Bokai Cao; Weigang Wu (IJCNN, 2022)

Reuse of Client Models in Federated Learning. - Bokai Cao; Weigang Wu; Congcong Zhan; Jieying Zhou (SMARTCOMP, 2022)

RTGA: Robust ternary gradients aggregation for federated learning. - Chengang Yang; Danyang Xiao; Bokai Cao; Weigang Wu (Inf. Sci., 2022)

MVMAFOL: A Multi-Access Three-Layer Federated Online Learning Algorithm for Internet of Vehicles. - Jieying Zhou; Junyao Zheng; Bokai Cao; Weigang Wu (IJCNN, 2023)

CSPO: Cross-Market Synergistic Stock Price Movement Forecasting with Pseudo-volatility Optimization. - Sida Lin; Yankai Chen 001; Yiyan Qi; Chenhao Ma 001; Bokai Cao; Yifei Zhang; Xue Liu 001; Jian Guo (WWW (Companion Volume), 2025)

Financial Wind Tunnel: A Retrieval-Augmented Market Simulator. - Bokai Cao; Xueyuan Lin; Yiyan Qi; Chengjin Xu; Cehao Yang; Jian Guo (CoRR, 2025)

From Deep Learning to LLMs: A survey of AI in Quantitative Investment. - Bokai Cao; Saizhuo Wang; Xinyi Lin; Xiaojun Wu; Haohan Zhang; Lionel M. Ni; Jian Guo (CoRR, 2025)