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个人简介
My research is to bridge Cyber Physical Systems (CPS), Data Science and Applied Machine Learning in extreme-scale urban infrastructure from a sociotechnical perspective. In the last 10 years, my group has been focused on the life cycle of CPS from mobile sensing to uncertainty-oriented prediction to socially-informed decision-making, by exploring fundamental and use-inspired CPS science. Our application domains include transportation (e.g., taxis, buses, subways, bikes, cars, electric vehicles), telecommunication (e.g., cellphones and Wi-Fi), payment (e.g., smartcards), social networks (e.g., check-in), and sharing economy (e.g., on-demand delivery) across 8 cities on 3 continents with 500 thousand vehicles, 10 million phones, 16 million smartcards, and 100 million residents involved. Our intellectual core is \textit{trustworthiness} on mutually-beneficial Human-CPS partnerships via their synergistic interaction focusing on real-time human mobility.
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Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologiesno. 2 (2024): 1-26
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologiesno. 2 (2024): 1-26
user-618b9067e554220b8f259598(2023)
IEEE Transactions on Knowledge and Data Engineeringno. 10 (2023): 10497-10513
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PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023pp.4879-4886, (2023)
PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023pp.3402-3411, (2023)
IJCAIpp.6130-6137, (2023)
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