My research spans the areas of Big Data, databases systems and
management, with emphasis on graph data, graph query models and
languages, distributed and dynamic graphs. My current work has
concentrated on effective data analytics in emerging applications such
as knowledge graphs, network security and social newtork analysis. My
broader interests include data quality, network science, web services
and information visualization.
2017.8 Qi Song is awarded SIGIR Student Travel Grant for CIKM conference.
paper "Discovering Temporal Graph Association Rules" is accepted by CIKM 17.
to Qi Song
and Jin Tao
for being selected with full travel support to NSF Graduate Data
Science Workshop, Seattle!
to Qi Song
for winning a full travel grant for EDBT summer school, Barcelona Spain!
I am looking for highly motivated and hardworking students who are
interested in tackling challenges (theory, algorithms, systems) in
different areas, including data science, databases, networking, social
If you are interested in these areas and working with me at WSU, please
send me an email with your CV, transcripts, publications (if
applicable), and any additional materials.
Spring 17, CPT_S 580-06Advanced Databases (WSU online course)
Fall 15, 16, 17 Tu/Th 4:15-5:30 pm CPT_S
Spring 16 Tu/Th 9:10-10:30 CPT_S 580-06 Advanced Databases
Spring 15 Tu/Th 4:15-5:30 pm CPT_S
Introduction to Big
Graph Data Science
Association and causality Analysis
Graph dependencies and associations [VLDB 15] [SIGMOD 16] [CIKM 17]