Distributed Graph Computing (Pregel-Like, IO-Bound) • Cost Model, Algorithm Design and Applications [PVLDB’14], [ICDE’18], [IEEE/ACM TCBB’19 (to appear)] • Novel Computing Model (Block-Centric) [PVLDB’14] • Message Reduction Techniques [WWW’15] • Online Query Answering [PVLDB’16], [SIGMOD’16] • Out-of-Core Execution [TPDS’18] • Fault Tolerance [ICPP’19] • System Performance Comparison [PVLDB’15], [SoCC’17] • Comprehensive Survey & Tutorial [Foundations and Trends® in Databases], [SIGMOD’16], [SpringerBriefs], [Encyclopedia of Big Data Technologies] CPU-Bound Big Data Systems • Parallel Graph Mining [PPoPP’19], [EuroSys’18], [ER’19] Spatial Data Management • Euclidean Space [CIKM’11], [EDBT’12], [TKDE’14], [ICDE’19] • Road Network [PVLDB’11], [ICDE’13], [KAIS’15] • Land Surface [CIKM’12] • Trajectory [KAIS’15] Uncertain Data Management • Top-k & Ranking Queries [DASFAA’11] • Data Mining [ICDE’19], [EDBT’12], [TKDE’14] • Spatial Queries [EDBT’12], [TKDE’14] Data Mining & Cleansing • Sequence Mining [EDBT’12], [TKDE’14] • Static and Temporal Graph Mining [KDD’16], [EuroSys’18], [DASFAA’17], [ER’19] • Location-Based Mining and Inference [ICDE’19], [CIKM’12] • Crowd Sourcing [KDD’13] • Matrix/Tensor Computations [IEEE TFS’18], [ICDE’19] |