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Scaling-Up In-Memory Datalog Processing: Observations and Techniques., , , , , and . CoRR, (2018)Digging into Big Provenance (with SPADE): A user interface for querying provenance., , , , and . ACM Queue, 19 (3): 77-106 (2021)Digging into big provenance (with SPADE)., , , , and . Commun. ACM, 64 (12): 48-56 (2021)Non-clairvoyant Weighted Flow Time Scheduling on Different Multi-processor Models., , and . WAOA, volume 7164 of Lecture Notes in Computer Science, page 137-149. Springer, (2011)ROSA: R Optimizations with Static Analysis., , , and . CoRR, (2017)Quickstep: A Data Platform Based on the Scaling-Up Approach., , , , , , , and . Proc. VLDB Endow., 11 (6): 663-676 (2018)Scaling-Up In-Memory Datalog Processing: Observations and Techniques., , , , , and . Proc. VLDB Endow., 12 (6): 695-708 (2019)Non-clairvoyant Weighted Flow Time Scheduling on Different Multi-processor Models., , and . Theory Comput. Syst., 56 (1): 82-95 (2015)Looking Ahead Makes Query Plans Robust., , , and . Proc. VLDB Endow., 10 (8): 889-900 (2017)New results on online job scheduling.. University of Hong Kong, Pokfulam, Hong Kong, (2013)base-search.net (ftunivhongkonghu:oai:hub.hku.hk:10722/191210).