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Privacy preserving online matching on ridesharing platforms., , and . Neurocomputing, (2020)Hierarchical representation of on-chip context to reduce reconfiguration time and implementation area for coarse-grained reconfigurable architecture., , , , , , and . Sci. China Inf. Sci., 56 (11): 1-20 (2013)Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms., , , , , , , , and . KDD, page 3605-3615. ACM, (2021)Fed-LTD: Towards Cross-Platform Ride Hailing via Federated Learning to Dispatch., , , , , , and . KDD, page 4079-4089. ACM, (2022)Configuration Approaches to Enhance Computing Efficiency of Coarse-Grained Reconfigurable Array., , , , , and . Journal of Circuits, Systems, and Computers, 24 (3): 1550043:1-1550043:21 (2015)Row-based configuration mechanism for a 2-D processing element array in coarse-grained reconfigurable architecture., , , , , and . Sci. China Inf. Sci., 57 (10): 1-18 (2014)On-Chip Memory Hierarchy in One Coarse-Grained Reconfigurable Architecture to Compress Memory Space and to Reduce Reconfiguration Time and Data-Reference Time., , , , , , and . IEEE Trans. Very Large Scale Integr. Syst., 22 (5): 983-994 (2014)Interaction Management in Crowdsourcing., , , , , , , and . IEEE Data Eng. Bull., 42 (4): 23-34 (2019)Federated Learning in the Lens of Crowdsourcing., , and . IEEE Data Eng. Bull., 43 (3): 26-36 (2020)Configuration approaches to improve computing efficiency of coarse-grained reconfigurable multimedia processor., , , , , and . FPL, page 1-4. IEEE, (2014)