| 2026 | WWW | Financial Wind Tunnel: A Retrieval-Augmented Market Simulator. | Bokai Cao, Xueyuan Lin, Yiyan Qi, Chengjin Xu, Cehao Yang, Jian Guo |
| 2025 | WWW | CSPO: Cross-Market Synergistic Stock Price Movement Forecasting with Pseudo-volatility Optimization. | Sida Lin, Yankai Chen, Yiyan Qi, Chenhao Ma, Bokai Cao, Yifei Zhang, Xue Liu, Jian Guo |
| 2023 | IJCNN | MVMAFOL: A Multi-Access Three-Layer Federated Online Learning Algorithm for Internet of Vehicles. | Jieying Zhou, Junyao Zheng, Bokai Cao, Weigang Wu |
| 2022 | IJCNN | EFL-WP: Federated Learning-Based Workload Prediction in Inter-Cloud Environments. | Danyang Xiao, Bokai Cao, Weigang Wu |
| 2022 | SmartComp | Reuse of Client Models in Federated Learning. | Bokai Cao, Weigang Wu, Congcong Zhan, Jieying Zhou |
| 2019 | AAAI | Private Model Compression via Knowledge Distillation. | Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu |
| 2018 | AAAI | Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis. | Ye Liu, Lifang He, Bokai Cao, Philip S. Yu, Ann B. Ragin, Alex D. Leow |
| 2018 | ICDCS | Deep Learning towards Mobile Applications. | Ji Wang, Bokai Cao, Philip S. Yu, Lichao Sun, Weidong Bao, Xiaomin Zhu |
| 2018 | ICDM | dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction. | He Huang, Bokai Cao, Philip S. Yu, Chang-Dong Wang, Alex D. Leow |
| 2018 | KDD | Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud. | Ji Wang, Jianguo Zhang, Weidong Bao, Xiaomin Zhu, Bokai Cao, Philip S. Yu |
| 2018 | WWW | Learning from Multi-View Multi-Way Data via Structural Factorization Machines. | Chun-Ta Lu, Lifang He, Hao Ding, Bokai Cao, Philip S. Yu |
| 2017 | CIKM | Unsupervised Feature Selection with Heterogeneous Side Information. | Xiaokai Wei, Bokai Cao, Philip S. Yu |
| 2017 | ICDM | HitFraud: A Broad Learning Approach for Collective Fraud Detection in Heterogeneous Information Networks. | Bokai Cao, Mia Mao, Siim Viidu, Philip S. Yu |
| 2017 | IJCNN | Multi-view unsupervised feature selection by cross-diffused matrix alignment. | Xiaokai Wei, Bokai Cao, Philip S. Yu |
| 2017 | KDD | Collective Fraud Detection Capturing Inter-Transaction Dependency. | Bokai Cao, Mia Mao, Siim Viidu, Philip S. Yu |
| 2017 | KDD | DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection. | Bokai Cao, Lei Zheng, Chenwei Zhang, Philip S. Yu, Andrea Piscitello, John Zulueta, Olu Ajilore, Kelly Ryan, Alex D. Leow |
| 2017 | KDD | Structural Deep Brain Network Mining. | Shen Wang, Lifang He, Bokai Cao, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin |
| 2017 | WWW | Cross View Link Prediction by Learning Noise-resilient Representation Consensus. | Xiaokai Wei, Linchuan Xu, Bokai Cao, Philip S. Yu |
| 2017 | SAC | A novel ensemble approach on regionalized neural networks for brain disorder prediction. | Lei Zheng, Jingyuan Zhang, Bokai Cao, Philip S. Yu, Ann B. Ragin |
| 2017 | WSDM | Multilinear Factorization Machines for Multi-Task Multi-View Learning. | Chun-Ta Lu, Lifang He, Weixiang Shao, Bokai Cao, Philip S. Yu |
| 2017 | SDM | t-BNE: Tensor-based Brain Network Embedding. | Bokai Cao, Lifang He, Xiaokai Wei, Mengqi Xing, Philip S. Yu, Heide Klumpp, Alex D. Leow |
| 2016 | AAAI | Unsupervised Feature Selection on Networks: A Generative View. | Xiaokai Wei, Bokai Cao, Philip S. Yu |
| 2016 | WSDM | Multi-view Machines. | Bokai Cao, Hucheng Zhou, Guoqiang Li, Philip S. Yu |
| 2016 | SDM | Nonlinear Joint Unsupervised Feature Selection. | Xiaokai Wei, Bokai Cao, Philip S. Yu |
| 2016 | SDM | 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 |
| 2015 | ICDM | Mining Brain Networks Using Multiple Side Views for Neurological Disorder Identification. | Bokai Cao, Xiangnan Kong, Jingyuan Zhang, Philip S. Yu, Ann B. Ragin |
| 2014 | ICDM | Tensor-Based Multi-view Feature Selection with Applications to Brain Diseases. | Bokai Cao, Lifang He, Xiangnan Kong, Philip S. Yu, Zhifeng Hao, Ann B. Ragin |
| 2014 | ICDM | Collective Prediction of Multiple Types of Links in Heterogeneous Information Networks. | Bokai Cao, Xiangnan Kong, Philip S. Yu |
| 2013 | KDD | Multi-label classification by mining label and instance correlations from heterogeneous information networks. | Xiangnan Kong, Bokai Cao, Philip S. Yu |