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
Ling LI
Professor
Curtin University, Australia
Talk Title: Multiple Instance Learning for Fault-Tolerant Structural Damage Identification
Jeonghan UHM
BLT IP & Law Firm, Korea
Talk Title: Design of Infectious Disease Bigdata Platform Based On Patent Information
Dingqi YANG
Associate Professor
University of Macau, China
Talk Title: Learning with Hyper-Relational Knowledge Graphs
Leo ZHANG
Senior Lecturer
Griffith University, Australia
Talk Title: Manipulating Object Detector via Backdoor Attack to Catastrophic Overload
Leo is currently a Senior Lecturer with the School of ICT, Griffith University, QLD, Australia. His current research focuses on trustworthy AI and applied cryptography, and he has published over 100 articles in refereed journals and conferences, such as TIFS, TDSC, Oakland, AsiaCCS, ICML, NeurIPS, CVPR, ICCV, IJCAI, AAAI, etc.