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VIRO: A virtual routing method for eliminating dead end in Opportunistic Mobile Social Network.

, , , and . ICC, page 3234-3239. IEEE, (2015)

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Sampling Based Katz Centrality Estimation for Large-Scale Social Networks., , , , and . ICA3PP (2), volume 11945 of Lecture Notes in Computer Science, page 584-598. Springer, (2019)Efficient Multicast Algorithms in Opportunistic Mobile Social Networks using Community and Social Features., , , , and . Comput. Networks, (2016)Predicting Smartphone App Usage with Recurrent Neural Networks., , , , , , , and . WASA, volume 10874 of Lecture Notes in Computer Science, page 532-544. Springer, (2018)The allocation of marginal surplus for cooperative games with transferable utility., , , and . Int. J. Game Theory, 51 (2): 353-377 (2022)TS2ACT: Few-Shot Human Activity Sensing with Cross-Modal Co-Learning., , , and . Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 7 (4): 188:1-188:22 (December 2023)VIRO: A virtual routing method for eliminating dead end in Opportunistic Mobile Social Network., , , and . ICC, page 3234-3239. IEEE, (2015)ActiveTracker: Uncovering the Trajectory of App Activities over Encrypted Internet Traffic Streams., , , , and . SECON, page 1-9. IEEE, (2019)Resource-Efficient Training for Large Graph Convolutional Networks with Label-Centric Cumulative Sampling., , , , and . WWW, page 1170-1180. ACM, (2022)Multi-Domain Generalized Graph Meta Learning., , , , , and . AAAI, page 4479-4487. AAAI Press, (2023)FIREPruning: Learning-based Filter Pruning for Convolutional Neural Network Compression., , , and . ACML, volume 129 of Proceedings of Machine Learning Research, page 385-400. PMLR, (2020)