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.
PhD students
Names | Years | Topic | Highlights | |
---|---|---|---|---|
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 | CIKM PhD Symposium 2020 |