Schedule





Schedule

To attend the workshop, here is the Zoom Workshop Link (for Aug 24. 2020):
https://zoom.us/j/92322586778?pwd=WUZ0cmtSdVp2SjAvSjBZU1dVcS9rQT09
8:00-8:10AM (PDT) Opening and Welcome
8:10-9:00AM (PDT) Invited Talk #1: Yang Liu, Title: Towards Building Federated Learning Powered Applications for Urban Management
(Live talk)
9:10-10:00AM (PDT) Invited Talk #2: Tony Qin, Title: Deep Reinforcement Learning in a Ride-sharing Marketplace
(Live talk)
10:10-11:00AM (PDT) Invited Talk #3: Jie Bao, Title: Urban Computing: Building Inteligent Cities with Big Data and AI
(Prerecorded video)
11:10-11:50AM (PDT) Session 1: Four Paper Presentations

  • Towards Dynamic Urban Bike Usage Prediction for Station Network Reconfiguration [PDF]
    Xi Yang and Suining He (The University of Connecticut)

  • Leveraging Change Point Detection for Activity Transition Mining in the Context of Environmental Crowdsensing [PDF]
    Hafsa El Hafyani(UVSQ-Université Paris-Saclay), Karine Zeitouni(UVSQ-Université Paris-Saclay), Yehia Taher(UVSQ-Université Paris-Saclay), Mohammad Abboud(Lebanese University)

  • The Anatomy of the Daily Usage of Bike Sharing Systems: Elevation, Distance and Seasonality [PDF]
    Injung Kim(University of Pittsburgh), Konstantinos Pelechrinis(University of Pittsburgh), Adam J. Lee(University of Pittsburgh)

  • A Distributed Travel Time Estimation Capability for Metropolitan-sized Road Transportation Networks [PDF]
    AArif Khan(Pacific Northwest National Laboratory), Arun V Sathanur(Pacific Northwest National Laboratory), Kelsey Maass(University of Washington), Robert Rallo(Pacific Northwest National Laboratory)

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    12:00-13:30PM (PDT) Lunch Break
    13:30-14:10PM (PDT) Session 2: Four Full Paper Presentations

  • An Interactive Data Visualization and Analytics Tool to Evaluate Mobility and Sociability Trends During COVID-19 [PDF]
    Fan Zuo(New York University), Jingxing Wang(University of Washington), Jingqin Gao(New York University), Kaan Ozbay(New York University), Xuegang Jeff Ban(University of Washington), Yubin Shen(New York University), Hong Yang(Old Dominion University), Shri Iyer(New York University)

  • Trends Drift Discovery for Individual Highway Drivers through Ensemble Learning [PDF]
    Weilong Ding(North China University of Technology), Zhe Wang(North China University of Technology), Jianwu Wang(University of Maryland), and Yanbo Han(North China University of Technology)

  • Cross-Domain Customer Profiling: Mining Passengers’ Food Ordering Patterns From Transportation Habits [PDF]
    Xueou Wang(National University of Singapore), Yifang Yin(National University of Singapore), Bryan Hooi(National University of Singapore), See Kiong Ng(National University of Singapore), Wynne Hsu(National University of Singapore), Renrong Weng(Grab), Xiang Hui Nicholas Lim(Grab), Rui Tan(Grab)

  • Speed Anomalies and Safe Departure Times from Uber Movement Data [PDF]
    Nabil Al Nahin Ch(University of New Hampshire), John Krumm(Microsoft Research), Andrew Kun(University of New Hampshire)

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    14:10-14:30PM (PDT) Coffee Break
    14:30-15:10PM (PDT) Session 3: Four Full Paper Presentations

  • Bus Fuel Consumption Problem: An in-depth Analysis and Prediction [PDF]
    Thanh-Nam Doan, Le Tuan Phan, Mina Sartipi. (University of Tennessee at Chattanooga)

  • Online Weighted Bipartite Matching with Capacity Constraints [PDF]
    Hao Wang, Zhenzhen Yan, Xiaohui Bei. (Nanyang Technological University)

  • TESLA: A Centralized Taxi Dispatching Approach to Optimizing Revenue Efficiency with Global Fairness [PDF]
    Huigui Rong(Hunan University), Qun Zhang(Hunan University), Xun Zhou(University of Iowa), Hongbo Jiang(Hunan University), Da Cao(Hunan University), Keqin Li(SUNY New Platz).

  • RAD: Rapid Automobile Data Analytics Framework for Structured Data [PDF]
    Nikhil Muralidhar(Virginia Polytechnic Institute and State University), Brian Mayer(Virginia Polytechnic Institute and State University), Nathan Self(Virginia Polytechnic Institute and State University), Naren Ramakrishnan(Virginia Polytechnic Institute and State University), Panduranga Kondoju(Ford Motor Company), Basavaraj Tonshal(Ford Motor Company), John Schmotzer(Ford Motor Company)
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