Scholar
Yingxia Shao
Google Scholar ID: h6gVF8YAAAAJ
SCS, BUPT
Citations & Impact
Citations
3,360
H-index
33
i10-index
68
Publications
20
Co-authors
39
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Recipient of ACM SIGMOD China Rising Star Award, ACM SIGMOD China Doctoral Dissertation Award, selected into the MSRA Star-Track Young Scholar Program, won the VLDB 2022 Best Regular Research Paper Award, and the DASFAA 2020 Best Student Paper Award. Principal investigator on multiple National Natural Science Foundation of China (NSFC) grants, including research on key technologies of data processing in large-scale distributed graph neural network systems (NSFC No. 62272054), and research on key techniques of knowledge graph-based social media management and analysis (NSFC No. U1936104).
Research Experience
- Served on the Technical Program Committee for various international conferences such as VLDB, ICDE, KDD, AAAI, IJCAI, CIKM, WSDM, DASFAA, BigData, etc. Reviewer for international journals including VLDBJ, IEEE TKDE, IEEE TPDS, IEEE TBD, etc.
Education
- Ph.D. from Peking University in 2016, advised by Prof. Bin Cui. Visiting scholar at HKUST in 2013-2014, working with Prof. Lei Chen.
Background
- Professor at the School of Computer Science, Beijing University of Posts and Telecommunications. Research interests include large-scale graph processing & analysis, large-scale graph learning, network/graph representation.
Miscellany
- Distinguished member of CCF, senior member of ACM, and IEEE. Looking for highly self-motivated students to work with him as PhD and/or master students (Fall 2026).
