Advices to my students
Read as many as papers you can and understand their main ideas.
Learn more mathematics.
I am very happy to discuss with you for every detail of your idea and paper.
Be active, disciplined, persistent, hard working, honest, and creative.
|Juwei Shi||2014-2018||Big data system automatic tuning||VLDB 2015, 2014||Thesis: Performance Evaluation, Models and Optimization for Big Data Analytics Platforms|
|Zhao'an Dong||2014-2018||Crowdsourcing and entity matching||BigComp 2016, Cluster computing 2017||Thesis: Crowdsourcing-Based Knowledge Acquisition. Co-supervised with Prof. Xiaofang Zhou, Prof Ju Fan in RUC|
|Yu Liu||2015-2018||Big graph management||VLDB 2017, 2015||Thesis: Structural-Based Approximate Algorithms for Massive Graphs. Co-supervised with Prof. Zhewei Wei in RUC|
|Pengfei Xu||2016-||Big data management and String processing||DASFAA 2017, CIKM 2018, VLDB 2019|
|Chao Zhang||2016-||Multi-model data management||VLDB PhD Workshop 2018, TPCTC 2018, DPD Journal|
|Yuxing Chen||2017-||Multi-model data management and Big data management||SIGMOD SRC 2018, VLDB 2019 tutorial, CIKM 2019, ACM Survey Journal, Big Data Journal|
|Gongsheng Yuan||2017-||Multi-model data management and Quantum mechanism|