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Achieving an effective, scalable and privacy-preserving data sharing service in cloud computing

Computers & security, 2014-05, Vol.42, p.151-164

2014

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Evolutionary game-based cooperative strategy for effective capacity of multiple-input-multiple-output communications

International journal of distributed sensor networks, 2017-10, Vol.13 (10), p.155014771773796

2017

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Sensing Vehicle Conditions for Detecting Driving Behaviors

1st ed. 2018 edition., 2018

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A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions

ACM transactions on information systems, 2022-12, Vol.41 (2), p.1-39, Article 42

2022

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Modeling Multiple Coexisting Category-Level Intentions for Next Item Recommendation

ACM transactions on information systems, 2021-07, Vol.39 (3), p.1-24

2021

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SMOPAT: Mining semantic mobility patterns from trajectories of private vehicles

Information sciences, 2018-03, Vol.429, p.12-25

2018

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Acoustic-based sensing and applications: A survey

Computer networks (Amsterdam, Netherlands : 1999), 2020-11, Vol.181, p.107447, Article 107447

2020

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Learning from multiple dynamic graphs of student and course interactions for student grade predictions

Neurocomputing (Amsterdam), 2021-03, Vol.431, p.23-33

2021

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EMP: Exploiting Mobility Patterns for Collaborative Localization in Sparse Mobile Networks

International journal of distributed sensor networks, 2014-01, Vol.10 (1), p.370364

2014

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Redundancy-Aware and Budget-Feasible Incentive Mechanism in Crowd Sensing

Computer journal, 2020-01, Vol.63 (1), p.66-79

2020

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Distributed Spectrum Sharing in Cognitive Radio Networks: A Pricing-Based Decomposition Approach

International journal of distributed sensor networks, 2014-01, Vol.10 (11), p.262137

2014

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INFER: Distilling knowledge from human-generated rules with uncertainty for STINs

Information sciences, 2023-10, Vol.645, p.119219, Article 119219

2023

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Contrastive Multi-view Interest Learning for Cross-domain Sequential Recommendation

ACM transactions on information systems, 2023-12, Vol.42 (3), p.1-30, Article 76

2023

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Jointly Modeling Spatio–Temporal Dependencies and Daily Flow Correlations for Crowd Flow Prediction

ACM transactions on knowledge discovery from data, 2021-08, Vol.15 (4), p.1-20

2021

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Modeling multi-aspect preferences and intents for multi-behavioral sequential recommendation

Knowledge-based systems, 2023-11, Vol.280, p.111013, Article 111013

2023

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Enhancing length of stay prediction by learning similarity-aware representations for hospitalized patients

Artificial intelligence in medicine, 2023-10, Vol.144, p.102660-102660, Article 102660

2023

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WiFi Signal-Based User Authentication

1, 2023

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A Profit-maximizing Mechanism for Query-based Data Trading with Personalized Differential Privacy

Computer journal, 2021-02, Vol.64 (2), p.264-280

2021

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VocalLock: Sensing Vocal Tract for Passphrase-Independent User Authentication Leveraging Acoustic Signals on Smartphones

Proceedings of ACM on interactive, mobile, wearable and ubiquitous technologies, 2020-06, Vol.4 (2), p.1-24

2020

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Fusing Satellite Data and Urban Data for Business Location Selection: A Neural Approach

Database Systems for Advanced Applications, p.589-605

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Leveraging app usage contexts for app recommendation: a neural approach

World wide web (Bussum), 2019-11, Vol.22 (6), p.2721-2745

2019

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Truthful incentive mechanisms for mobile crowd sensing with dynamic smartphones

Computer networks (Amsterdam, Netherlands : 1999), 2018-08, Vol.141, p.1-16

2018

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Double Auction for a Data Trading Market with Preferences and Conflicts of Interest

Computer journal, 2019-09, Vol.62 (10), p.1490-1504

2019

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Learning Shared Representations for Recommendation with Dynamic Heterogeneous Graph Convolutional Networks

ACM transactions on knowledge discovery from data, 2023-02, Vol.17 (4), p.1-23, Article 59

2023

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Multifaceted Relation-Aware Meta-Learning with Dual Customization for User Cold-Start Recommendation

ACM transactions on knowledge discovery from data, 2023-11, Vol.17 (9), p.1-27

2023

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Achieving an effective, scalable and privacy-preserving data sharing service in cloud computing

Evolutionary game-based cooperative strategy for effective capacity of multiple-input-multiple-output communications

Sensing Vehicle Conditions for Detecting Driving Behaviors

A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions

Modeling Multiple Coexisting Category-Level Intentions for Next Item Recommendation

SMOPAT: Mining semantic mobility patterns from trajectories of private vehicles

Acoustic-based sensing and applications: A survey

Learning from multiple dynamic graphs of student and course interactions for student grade predictions

EMP: Exploiting Mobility Patterns for Collaborative Localization in Sparse Mobile Networks

Redundancy-Aware and Budget-Feasible Incentive Mechanism in Crowd Sensing

Distributed Spectrum Sharing in Cognitive Radio Networks: A Pricing-Based Decomposition Approach

INFER: Distilling knowledge from human-generated rules with uncertainty for STINs

Contrastive Multi-view Interest Learning for Cross-domain Sequential Recommendation

Jointly Modeling Spatio–Temporal Dependencies and Daily Flow Correlations for Crowd Flow Prediction

Modeling multi-aspect preferences and intents for multi-behavioral sequential recommendation

Enhancing length of stay prediction by learning similarity-aware representations for hospitalized patients

WiFi Signal-Based User Authentication

A Profit-maximizing Mechanism for Query-based Data Trading with Personalized Differential Privacy

VocalLock: Sensing Vocal Tract for Passphrase-Independent User Authentication Leveraging Acoustic Signals on Smartphones

Fusing Satellite Data and Urban Data for Business Location Selection: A Neural Approach

Leveraging app usage contexts for app recommendation: a neural approach

Truthful incentive mechanisms for mobile crowd sensing with dynamic smartphones

Double Auction for a Data Trading Market with Preferences and Conflicts of Interest

Learning Shared Representations for Recommendation with Dynamic Heterogeneous Graph Convolutional Networks

Multifaceted Relation-Aware Meta-Learning with Dual Customization for User Cold-Start Recommendation

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