To attend the workshop, here is the Zoom Workshop Link (for Nov 1, 2021):
Morning Sessions
Session Chairs: Yanhua Li & Huimin Ren
09:00-09:10PM (UTC+8) Opening and Welcome
9:10-10:00AM (UTC+8) Keynote #1: Daqing Zhang, Title: Continuous Daily Status Monitoring of Elders with Commodity Wi-Fi Devices
10:10-11:20AM (UTC+8) Session 1: Four Paper Presentations

  • Transportation Scenario Planning with Graph Neural Networks (Short) [PDF]
    Ana Alice Peregrino (Universidade Federal de Pernambuco), Soham Pradhan (UIC), Zhicheng Liu (Southeast University), Nivan Ferreira (Universidade Federal de Pernambuco) and Fabio Miranda (UIC)

  • A Transfer Learning Approach for Park Classification Using Images [PDF]
    Si Chen, Mario Lopez Gonzalez, Hongpeng Guo, Klara Nahrstedt and Brian Deal (UIUC)

  • Incorporating Spatial Network Information to Improve Demand Prediction for Bike Share System Expansion [PDF]
    Zhaoyu Kou and Hua Cai (Purdue University)

  • Attention-based Contextual Multi-View Graph Convolutional Networks for Short-term Population Prediction [PDF]
    Yuki Kubota, Yuki Ohira and Tetsuo Shimizu (Tokyo Metropolitan University)

  • Lunch Break
    Afternoon Sessions
    Session Chairs: Jie Bao & Sijie Ruan
    13:30-14:20PM (UTC+8) Keynote #2: Kai Chen, Title: Towards a High-Performance AI Computing Platform for Smart City Applications
    14:30-15:10PM (UTC+8) Session 2: Two Paper Presentations

  • Intra-urban Region-based Traffic Flow Prediction Based on Spatial-Temporal Graph Convolutional Network Enhanced by Spatial Context [PDF]
    Guikai Xi (Shenzhen Institutes of Advanced Technology, CAS; UCAS), Ling Yin (Shenzhen Institutes of Advanced Technology, CAS) and Kang Liu (Shenzhen Institutes of Advanced Technology, CAS)

  • On-street Parking and Park and Ride Prediction with Interpretable Time Series Models [PDF]
    Elisabeth Fokker (Vrije Universiteit Amsterdam), Thomas Koch (Centrum Wiskunde en Informatica) and Elenna Dugundji (Vrije Universiteit Amsterdam)

  • 15:10-16:00PM (UTC+8) Keynote #3: Chuishi Meng , Title: Urban Computing: Building Intelligent Cities with Big Data and AI
    16:10-17:00PM (UTC+8) Session 3: Three Paper Presentations

  • A Novel Post Prediction Segmentation Technique for Urban Bus Travel Time Estimation [PDF]
    Laura Dunne and Gavin McArdle (University College Dublin)

  • Back to Basics: Deep Reinforcement Learning in Traffic Signal Control [PDF]
    Sierk Kanis (University of Amsterdam), Laurens Samson (City of Amsterdam), Daan Bloembergen (City of Amsterdam) and Tim Bakker (University of Amsterdam)

  • Automatic Labelling of Urban Point Clouds using Data Fusion (Short) [PDF]
    Daan Bloembergen and Chris Eijgenstein (City of Amsterdam)

  • 17:00-17:10PM (UTC+8) Award and Closing