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.
 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.
 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.
 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.
 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.
 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.