Bokai Cao

61 papers A* 15A 7B 4Misc 1Journal 22Unranked 12
YearRankTypeTitle / Venue / Authors
2026 A* conf
Financial Wind Tunnel: A Retrieval-Augmented Market Simulator.
WWW
Bokai Cao, Xueyuan Lin, Yiyan Qi, Chengjin Xu, Cehao Yang, Jian Guo
2025 — conf
CSPO: Cross-Market Synergistic Stock Price Movement Forecasting with Pseudo-volatility Optimization.
WWW (Companion Volume)
Sida Lin, Yankai Chen, Yiyan Qi, Chenhao Ma, Bokai Cao, Yifei Zhang, Xue Liu, Jian Guo
2025 J jnl
CSPO: Cross-Market Synergistic Stock Price Movement Forecasting with Pseudo-volatility Optimization.
CoRR
Sida Lin, Yankai Chen, Yiyan Qi, Chenhao Ma, Bokai Cao, Yifei Zhang, Xue Liu, Jian Guo
2025 J jnl
Financial Wind Tunnel: A Retrieval-Augmented Market Simulator.
CoRR
Bokai Cao, Xueyuan Lin, Yiyan Qi, Chengjin Xu, Cehao Yang, Jian Guo
2025 J jnl
From Deep Learning to LLMs: A survey of AI in Quantitative Investment.
CoRR
Bokai Cao, Saizhuo Wang, Xinyi Lin, Xiaojun Wu, Haohan Zhang, Lionel M. Ni, Jian Guo
2023 B conf
MVMAFOL: A Multi-Access Three-Layer Federated Online Learning Algorithm for Internet of Vehicles.
IJCNN
Jieying Zhou, Junyao Zheng, Bokai Cao, Weigang Wu
2022 B conf
EFL-WP: Federated Learning-Based Workload Prediction in Inter-Cloud Environments.
IJCNN
Danyang Xiao, Bokai Cao, Weigang Wu
2022 J jnl
RTGA: Robust ternary gradients aggregation for federated learning.
Inf. Sci.
Chengang Yang, Danyang Xiao, Bokai Cao, Weigang Wu
2022 B conf
Reuse of Client Models in Federated Learning.
SMARTCOMP
Bokai Cao, Weigang Wu, Congcong Zhan, Jieying Zhou
2021 J jnl
Kollector: Detecting Fraudulent Activities on Mobile Devices Using Deep Learning.
IEEE Trans. Mob. Comput.
Lichao Sun, Bokai Cao, Ji Wang, Witawas Srisa-an, Philip S. Yu, Alex D. Leow, Stephen Checkoway
2019 A* conf
Private Model Compression via Knowledge Distillation.
AAAI
Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu
2018 J jnl
Broad Learning for Healthcare.
CoRR
Bokai Cao
2018 J jnl
Deep Learning Towards Mobile Applications.
CoRR
Ji Wang, Bokai Cao, Philip S. Yu, Lichao Sun, Weidong Bao, Xiaomin Zhu
2018 A conf
Deep Learning towards Mobile Applications.
ICDCS
Ji Wang, Bokai Cao, Philip S. Yu, Lichao Sun, Weidong Bao, Xiaomin Zhu
2018 J jnl
DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection.
CoRR
Bokai Cao, Lei Zheng, Chenwei Zhang, Philip S. Yu, Andrea Piscitello, John Zulueta, Olu Ajilore, Kelly Ryan, Alex D. Leow
2018 — conf
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks.
ICBK
Lichao Sun, Lifang He, Zhipeng Huang, Bokai Cao, Congying Xia, Xiaokai Wei, Philip S. Yu
2018 J jnl
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks.
CoRR
Lichao Sun, Lifang He, Zhipeng Huang, Bokai Cao, Congying Xia, Xiaokai Wei, Philip S. Yu
2018 A* conf
Learning from Multi-View Multi-Way Data via Structural Factorization Machines.
WWW
Chun-Ta Lu, Lifang He, Hao Ding, Bokai Cao, Philip S. Yu
2018 A* conf
Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis.
AAAI
Ye Liu, Lifang He, Bokai Cao, Philip S. Yu, Ann B. Ragin, Alex D. Leow
2018 J jnl
Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis.
CoRR
Ye Liu, Lifang He, Bokai Cao, Philip S. Yu, Ann B. Ragin, Alex D. Leow
2018 A* conf
Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud.
KDD
Ji Wang, Jianguo Zhang, Weidong Bao, Xiaomin Zhu, Bokai Cao, Philip S. Yu
2018 J jnl
Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud.
CoRR
Ji Wang, Jianguo Zhang, Weidong Bao, Xiaomin Zhu, Bokai Cao, Philip S. Yu
2018 J jnl
Private Model Compression via Knowledge Distillation.
CoRR
Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu
2018 A* conf
dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction.
ICDM
He Huang, Bokai Cao, Philip S. Yu, Chang-Dong Wang, Alex D. Leow
2018 J jnl
dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction.
CoRR
He Huang, Bokai Cao, Philip S. Yu, Chang-Dong Wang, Alex D. Leow
2017 Misc conf
A novel ensemble approach on regionalized neural networks for brain disorder prediction.
SAC
Lei Zheng, Jingyuan Zhang, Bokai Cao, Philip S. Yu, Ann B. Ragin
2017 — conf
Collective Fraud Detection Capturing Inter-Transaction Dependency.
ADF@KDD
Bokai Cao, Mia Mao, Siim Viidu, Philip S. Yu
2017 — conf
Connecting emerging relationships from news via tensor factorization.
IEEE BigData
Jingyuan Zhang, Chun-Ta Lu, Bokai Cao, Yi Chang, Philip S. Yu
2017 A* conf
Cross View Link Prediction by Learning Noise-resilient Representation Consensus.
WWW
Xiaokai Wei, Linchuan Xu, Bokai Cao, Philip S. Yu
2017 A* conf
DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection.
KDD
Bokai Cao, Lei Zheng, Chenwei Zhang, Philip S. Yu, Andrea Piscitello, John Zulueta, Olu Ajilore, Kelly Ryan, Alex D. Leow
2017 — conf
Hierarchical collaborative embedding for context-aware recommendations.
IEEE BigData
Lei Zheng, Bokai Cao, Vahid Noroozi, Philip S. Yu, Nianzu Ma
2017 A* conf
HitFraud: A Broad Learning Approach for Collective Fraud Detection in Heterogeneous Information Networks.
ICDM
Bokai Cao, Mia Mao, Siim Viidu, Philip S. Yu
2017 J jnl
HitFraud: A Broad Learning Approach for Collective Fraud Detection in Heterogeneous Information Networks.
CoRR
Bokai Cao, Mia Mao, Siim Viidu, Philip S. Yu
2017 J jnl
Multi-view Unsupervised Feature Selection by Cross-diffused Matrix Alignment.
CoRR
Xiaokai Wei, Bokai Cao, Philip S. Yu
2017 B conf
Multi-view unsupervised feature selection by cross-diffused matrix alignment.
IJCNN
Xiaokai Wei, Bokai Cao, Philip S. Yu
2017 A conf
Multilinear Factorization Machines for Multi-Task Multi-View Learning.
WSDM
Chun-Ta Lu, Lifang He, Weixiang Shao, Bokai Cao, Philip S. Yu
2017 — conf
Rethinking Unsupervised Feature Selection: From Pseudo Labels to Pseudo Must-Links.
ECML/PKDD (1)
Xiaokai Wei, Sihong Xie, Bokai Cao, Philip S. Yu
2017 — conf
Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning.
ECML/PKDD (3)
Lichao Sun, Yuqi Wang, Bokai Cao, Philip S. Yu, Witawas Srisa-an, Alex D. Leow
2017 J jnl
Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning.
CoRR
Lichao Sun, Yuqi Wang, Bokai Cao, Philip S. Yu, Witawas Srisa-an, Alex D. Leow
2017 A* conf
Structural Deep Brain Network Mining.
KDD
Shen Wang, Lifang He, Bokai Cao, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin
2017 A conf
Unsupervised Feature Selection with Heterogeneous Side Information.
CIKM
Xiaokai Wei, Bokai Cao, Philip S. Yu
2017 A conf
t-BNE: Tensor-based Brain Network Embedding.
SDM
Bokai Cao, Lifang He, Xiaokai Wei, Mengqi Xing, Philip S. Yu, Heide Klumpp, Alex D. Leow
2016 — conf
Community detection with partially observable links and node attributes.
IEEE BigData
Xiaokai Wei, Bokai Cao, Weixiang Shao, Chun-Ta Lu, Philip S. Yu
2016 A conf
Identifying Connectivity Patterns for Brain Diseases via Multi-side-view Guided Deep Architectures.
SDM
Jingyuan Zhang, Bokai Cao, Sihong Xie, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin
2016 — conf
Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain Networks.
ECML/PKDD (1)
Guixiang Ma, Lifang He, Bokai Cao, Jiawei Zhang, Philip S. Yu, Ann B. Ragin
2016 A conf
Multi-view Machines.
WSDM
Bokai Cao, Hucheng Zhou, Guoqiang Li, Philip S. Yu
2016 A conf
Nonlinear Joint Unsupervised Feature Selection.
SDM
Xiaokai Wei, Bokai Cao, Philip S. Yu
2016 — conf
Semi-supervised Tensor Factorization for Brain Network Analysis.
ECML/PKDD (1)
Bokai Cao, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu, Alex D. Leow
2016 A* conf
Unsupervised Feature Selection on Networks: A Generative View.
AAAI
Xiaokai Wei, Bokai Cao, Philip S. Yu
2015 J jnl
A review of heterogeneous data mining for brain disorder identification.
Brain Informatics
Bokai Cao, Xiangnan Kong, Philip S. Yu
2015 J jnl
A review of heterogeneous data mining for brain disorders.
CoRR
Bokai Cao, Xiangnan Kong, Philip S. Yu
2015 — conf
Identification of Discriminative Subgraph Patterns in fMRI Brain Networks in Bipolar Affective Disorder.
BIH
Bokai Cao, Liang Zhan, Xiangnan Kong, Philip S. Yu, Nathalie Vizueta, Lori L. Altshuler, Alex D. Leow
2015 J jnl
Identifying HIV-induced subgraph patterns in brain networks with side information.
Brain Informatics
Bokai Cao, Xiangnan Kong, Jingyuan Zhang, Philip S. Yu, Ann B. Ragin
2015 — conf
Inferring crowd-sourced venues for tweets.
IEEE BigData
Bokai Cao, Francine Chen, Dhiraj Joshi, Philip S. Yu
2015 A* conf
Mining Brain Networks Using Multiple Side Views for Neurological Disorder Identification.
ICDM
Bokai Cao, Xiangnan Kong, Jingyuan Zhang, Philip S. Yu, Ann B. Ragin
2015 J jnl
Mining Brain Networks using Multiple Side Views for Neurological Disorder Identification.
CoRR
Bokai Cao, Xiangnan Kong, Jingyuan Zhang, Philip S. Yu, Ann B. Ragin
2015 J jnl
Multi-view Machines.
CoRR
Bokai Cao, Hucheng Zhou, Philip S. Yu
2014 A* conf
Collective Prediction of Multiple Types of Links in Heterogeneous Information Networks.
ICDM
Bokai Cao, Xiangnan Kong, Philip S. Yu
2014 A* conf
Tensor-Based Multi-view Feature Selection with Applications to Brain Diseases.
ICDM
Bokai Cao, Lifang He, Xiangnan Kong, Philip S. Yu, Zhifeng Hao, Ann B. Ragin
2013 J jnl
Meta Path-Based Collective Classification in Heterogeneous Information Networks
CoRR
Xiangnan Kong, Bokai Cao, Philip S. Yu, Ying Ding, David J. Wild
2013 A* conf
Multi-label classification by mining label and instance correlations from heterogeneous information networks.
KDD
Xiangnan Kong, Bokai Cao, Philip S. Yu