About Me
My research interests range from large-scale graph data analytics (such as disk-based subgraph matching, distributed graph analytics, and graph pattern cardinality estimation) to natural language processing with deep learning. Recently, I am committed to develop techniques for translating natural language to SQL (NL2SQL) and conversational systems for databases.
Experiences
Participated in Parallel Graph AnalytiX (PGX) project - Performance analysis and tuning of graph analytics and graph queries in large-scale graphs on a distributed graph engine, and efficient graph partitioning for a distributed graph engine, PGX/D
Data programming course (Apr. 2020), Advanced data expert course (July. 2019 – Nov. 2019), Data foundation course (Oct. 2017)
Publications
VLDB, 2020