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)

Chongqing University, China
Talk Title: AI+Smart Mobility: A perspective from taxi GPS trajectory data

Associate Professor
University of Queensland, Australia
Talk Title: Building Resilient Data Pipelines

Kunpeng LIU
Associate Professor
Portland State University, Portland
Talk Title: Automated Feature Engineering: Bridging the Gap between Feature Engineering and Self-optimization

Shengxin LIU
Assistant Professor
Harbin Institute of Technology (Shenzhen), China
Talk Title: On Generalizations of the Classic Fair Division Problem

Leilei SUN
Associate Professor
Beihang University, China
Talk Title: Urban Sensing Via Human Mobility Analysis

Biaoshuai TAO
Assistant Professor
Shanghai Jiaotong University, China
Talk Title: The Incentive Guarantees Behind Nash Welfare in Divisible Resources Allocation

Pengyang WANG
Assistant Professor
University of Macau, Macau
Talk Title: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting

Bihan WEN
Assistant Professor
Nanyang Technological University, Singapore
Talk Title: Physics-driven Machine Learning for Image Restoration and Reconstruction

Xiaolin WU
Chair Professor
McMaster University, Canada
Talk Title: Learnt Adaptive Dual-layer Down and Up Sampling for Image Compression

Xiaowei WU
Assistant Professor
University of Macau, Macau
Talk Title: Quantile Query Based Prophet Inequality