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)
Alessia ANTELMI
Assistant Professor
University of Turin, Italy
Talk Title: Analyzing Open-Source Software at Scale
Junyang CHEN
Assistant Professor
Shenzhen University, China
Talk Title: Sparse Enhanced Network: An AdversarialGeneration Method for RobustAugmentation in Sequential Recommendation
Zipei FAN
Professor
Jilin University, China
Talk Title: Retrieval-based Citywide Mobility Digital Twin
Jiarui GAN
Assistant Professor
Oxford University, UK
Talk Title: Stochastic Principal-Agent Problems: Efficient Computation and Learning
Li LING
Professor
Curtin University, Australia
Talk Title: Multiple Instance Learning for Fault-Tolerant Structural Damage Identification
Pengfei WANG
Associate Research Fellow
Computer Network Information Center, Chinese Academy of Sciences, China
Talk Title: Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction
Leo ZHANG
Senior Lecturer
Griffith University, Australia
Talk Title: Manipulating Object Detector via Backdoor Attack to Catastrophic Overload