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Multi-Task Learning for Abstractive and Extractive Summarization.

, , , and . Data Sci. Eng., 4 (1): 14-23 (2019)

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Understanding Quality of Experiences on Different Mobile Browsers: Measurements, Analysis, and Implications., and . CoRR, (2017)Moving Deep Learning into Web Browser: How Far Can We Go?, , , , and . WWW, page 1234-1244. ACM, (2019)FLASH: Heterogeneity-Aware Federated Learning at Scale., , , , , , , , , and 1 other author(s). IEEE Trans. Mob. Comput., 23 (1): 483-500 (January 2024)Programming Situational Mobile Web Applications with Cloud-Mobile Convergence: An Internetware-Oriented Approach., , , , , and . IEEE Trans. Serv. Comput., 12 (1): 6-19 (2019)Roaming across the Castle Tunnels: an Empirical Study of Inter-App Navigation Behaviors of Android Users., , , and . CoRR, (2017)C3DRec: Cloud-Client Cooperative Deep Learning for Temporal Recommendation in the Post-GDPR Era., and . CoRR, (2021)A Hybrid Security and Compressive Sensing-Based Sensor Data Gathering Scheme., , , and . IEEE Access, (2015)Data-driven synthesis of multiple recommendation patterns to create situational Web mashups., , , , and . Sci. China Inf. Sci., 56 (8): 1-16 (2013)Self-adaptive resource allocation for cloud-based software services based on progressive QoS prediction model., , , , , and . Sci. China Inf. Sci., 62 (11): 219101:1-219101:3 (2019)MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization., , , , and . ICPR, page 407-414. IEEE, (2020)