科研成果

学术论文——社群智能

1.CityGuard: Citywide Fire Risk Forecasting Using A Machine Learning Approach.

ACM UbiComp'2020

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2.ShopSense: Customer Localization in Multi-person Scenario with Passive RFID Tags.

IEEE TMC'2020

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3.Knowledge Transfer with Weighted Adversarial Network for Cold-Start Store Site Recommendation.

ACM TKDD'2020

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4.From Crowdsourcing to Crowdmining: Using Implicit Human Intelligence for Better Understanding of Crowdsourced Data.

World Wide Web Journal'2020

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5.CrowdOS: A Ubiquitous Operating System for Crowdsourcing and Mobile Crowd Sensing.

IEEE TMC'2020

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6.A Force-directed Approach to Seeking Route Recommendation in Ride-on-demand Service Using Multi-source Urban Data.

IEEE TMC'2020

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7.Inferring User Profile Attributes from Multi-dimensional Mobile Phone Sensory Data.

IEEE Internet of Things'2019

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8.Modeling and Forecasting the Popularity Evolution of Mobile Apps: A Multivariate Hawkes Process Approach.

ACM UbiComp'2019

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9.CityTransfer: Transferring Inter- and Intra-City Knowledge for Chain Store Site Recommendation based on Multi-Source Urban Data.

ACM UbiComp'2018

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学术论文——人机物融合群体智能

1.Context-aware Adaptive Surgery: A fast and effective framework for adaptative model partition.

ACM UbiComp'2021

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2.AdaSpring: Context-adaptive and Runtime-evolutionary Deep Model Compression for Mobile Applications.

ACM UbiComp'2021

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3.The Future of False Information Detection on Social Media: New Perspectives and Trends.

ACM CSUR'2021

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4.Conditional Text Generation for Harmonious Human-Machine Interaction.

ACM TIST'2020

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5.Towards information-rich, logical dialogue systems with knowledge-enhanced neural models.

Neurocomputing'2021

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6.MateBot: The Design of a Human-Like, Context-Sensitive Virtual Bot for Harmonious Human-Computer Interaction.

GPC'2020

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7.CrowdTravel: Leveraging Cross-Modal CrowdSourced Data for Fine-grained and Context-based Travel Route Recommendation.

IEEE UIC'2019

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8.TL-SDD: A Transfer Learning-Based Method for Surface Defect Detection with Few Samples.

BigCom'2021

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学术论文——移动群智感知

1.Collaborative Mobile Crowdsensing in Opportunistic D2D Networks: A Graph-Based Approach.

ACM TOSN'2019

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2.CrowdTracking: Real-Time Vehicle Tracking Through Mobile Crowdsensing.

IEEE Internet of Things'2019

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3.Task Allocation in Spatial Crowdsourcing: Current State and Future Directions.

IEEE Internet of Things'2018

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4.CrowdTracker: Optimized Urban Moving Object Tracking Using Mobile Crowd Sensing.

IEEE Internet of Things'2018

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5.TaskMe: Toward a Dynamic and Quality-Enhanced Incentive Mechanism for Mobile Crowd Sensing.

IJHCS'2017 (ESI Highly Citation Paper)

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6.ActiveCrowd: A Framework for Optimized Multi-Task Allocation in Mobile Crowdsensing Systems.

IEEE Trans. on Human-Machine Systems'2017 (ESI Highly Citation Paper)

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7.CrowdTracker: Object Tracking Using Mobile Crowd Sensing.

ACM UbiComp'2017

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8.Toward Real-time and Cooperative Mobile Visual Sensing and Sharing.

IEEE INFOCOM'2016

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