My research interests are to design efficient algorithms and systems to enhance the big data analytics. Please refer to my homepagehttp://abelgo.cn for more details about my research. In specific my research areas including：Database，Probabilistic Database, Large Scale Stream Processing, Large Scale Analysis of Big Graph, Data Mining over Data Stream, etc.

[1] Qingsong Guo, Yongluan Zhou.Stateful Load Balancing for Parallel Stream Processing. Auto-DaSP 2017 in conjunction with Euro-Par 2017, August 29, 2017, Santiago de Compostela, Spain.
[2] Qingsong Guo, Yongluan Zhou.CBP: A New Parallelization Paradigm for Massively Distributed Stream Processing. The 22nd International Conference on Database Systems for Advanced Applications (DASFAA 2017), March 27-30, 2017, Suzhou, China.
[3] Qingsong Guo, Yongluan Zhou. A Framework for Structural Refinement of XML Keyword Search. 4th International Workshop on Semantic Search Over the Web in conjunction with VLDB 2014, September 5, 2014, Hangzhou, China.
[4] Yongluan Zhou, Chunyang Ma, Qingsong Guo, Lidan Shou, Gang Chen.Sequence Pattern Matching over Time-Series Data with Temporal Uncertainty. 17th International Conference on Extending Database Technology(EDBT 2014), March 24-28, 2014, Athens, Greece.
[5] Qingsong Guo, Yongluan Zhou, Li Su.Multi-Scale Dissemination of Time Series Data.Proceedings of the 25th International Conference on Scientific and Statistical Database Management (SSDBM 2013), July 29-31, 2013, Baltimore, Maryland.