AI and Big Data Track
This track aims to present the most recent challenges and developments in urban Big Data and intelligent technologies for smart cities. The broad emphasis of this track is on exploring how data-centric approaches can support the development of smart cities. The track provides the discussion on the following topics (but not limited to): Urban computing and Big Data analytics, Social computing and social network analysis for smart cities, Data analysis and machine learning for smart city applications, Big Data infrastructures and warehouses for smart cities, Privacy protection in urban Big Data, Future advancements of urban Big Data and intelligent technologies for smart cities.
Invited Speakers (in alphabetical order)
Junyang CHEN
Assistant Professor, Shenzhen University
Talk Title: Point-of-interest Recommendation Based on Multimodal Data in Smart Cities
Bo LI
Assistant professor, Hong Kong Polytechnic University
Talk Title: Ordinal Approximation Algorithms for MMS Allocation of Chores
Yuanman LI
Assistant Professor, Shenzhen University
Talk Title: Operation chain detection for digital images
Wei LU
Professor, Sun Yat-sen University
Talk Title: Secure Robust JPEG Steganography for Social Networks
Leye WANG
Assistant Professor, Peking University
Talk Title: Principle of Least Sensing: Building an Intelligent System with Minimum Data
Pengyang WANG
Assistant professor, University of Macau
Talk Title: Spatial-Temporal Representation Learning for Driving Behavior Analysis
Wei WANG
Associate Professor, Sun Yat-sen University
Talk Title: Artificial Intelligence of Things for Psychophysiological Health Condition Monitoring
Yuanbo XU
Post-doctoral Fellow, Jilin University
Talk Title: GPS Trajectory Analysis for Urban Function Definitions
Yiyang YANG
Assistant professor, Guangdong University of Technology
Talk Title: Clustering by Quick Estimation on the Large-scale KNN Graph
