Para-Pred: Addressing Heterogeneity for City-Wide Indoor Status Estimation in On-Demand Delivery - researchr publication authors

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Wei Liu, Yi Ding, Shuai Wang 0008, Yu Yang 0010, Desheng Zhang. Para-Pred: Addressing Heterogeneity for City-Wide Indoor Status Estimation in On-Demand Delivery. In Aidong Zhang, Huzefa Rangwala, editors, KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022. pages 3407-3417, ACM, 2022. [doi]

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