Topics include recommender systems, data privacy, data visualization and etc.
Private Mobile Crowdsourcing
Allocate location based crowdsourcing tasks to participants with privacy protection, while maximizing spatial coverage at the same time.
Private Cross-Domain Recommender System
Provide a privacy preserving way to build recommender systems with sensitive auxiliary information.
Data-driven Reachability Visualization
Visualize reachability using isochrone map and taxi trajectory dataset. Construct an interactive web interface for user query.
Publications
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Chao Huang, Fengli Xu, Yong Li, Xinlei Chen, Pei Zhang, Poster Abstract: Locally Differentially Private Participant Recruitment for Mobile Crowdsourcing, In the Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems
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Chen Gao, Chao Huang, Yue Yu, Huandong Wang, Yong Li, Depeng Jin, Privacy-preserving Cross-domain Location Recommendation, In the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 3 Issue 1, March 2019
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Chrysovalantis Anastasiou, Chao Huang, Seon Ho Kim, Cyrus Shahabi, Time-Dependent Reachability Analysis: A Data-Driven Approach, 2019 20th IEEE International Conference on Mobile Data Management (MDM), Hong Kong, 2019