Yingxia Shao (邵蓥侠)

Professor

Email: shaoyx [AT] bupt.edu.cn

Bio

Yingxia Shao is a Professor at School of Computer Science, Beijing University of Posts and Telecommunications. He obtained his PhD from Peking University in 2016, advised by Prof. Bin Cui. He worked with Prof. Lei Chen as a visiting scholar at HKUST in 2013 and 2014. He has served in the Technical Program Committee of various international conferences including VLDB, ICDE, KDD, AAAI, IJCAI, CIKM, WSDM, DASFAA, BigData, etc. He is serving as a reviewer of international journals including VLDBJ, IEEE TKDE, IEEE TPDS, IEEE TBD, etc. He received the ACM SIGMOD China Rising Star Award, ACM SIGMOD China Doctoral Dissertation Award, was 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.

He is a senior member of ACM, senior member of IEEE, senior member of CCF.

NOTE: I'm looking for highly self-motivated students to work with me as PhD and/or master students. Candidates who are interested please contact me directly.

Research Interests

Large-scale Graph Processing & Analysis, Large-scale Graph Learning, Network/Graph Representation

Publications

Articles on [Google Scholar], [DBLP] or here.

Academic Services

Selected Conference PC Membership
- VLDB: 2019, 2022 (Demo PC), 2023, 2024
- ICDE: 2022, 2023，2025
- KDD: 2019, 2020, 2021, 2022, 2023, 2024, 2025
- AAAI: 2019, 2021，2022 (SPC), 2023 (SPC), 2024 (SPC)
- IJCAI: 2018, 2019, 2020, 2021 (SPC), 2022, 2023
- DASFAA: 2020 (Publicity Co-Chair), 2021, 2022, 2023 (Publication Co-Chair), 2024
- PAKDD: 2023 (SPC), 2024 (SPC)
Journal Reviewers
- VLDBJ, TKDE, TPDS, TNNLS, TBD, TM, TNet, WWWJ, DSE

Research Grants

Research on Key Technologies of Data Processing in Large-Scale Distributed Graph Neural Network Systems. NSFC No. 62272054, 2023-2026
Research on Key Techniques of Knowledge Graph-Based Social Media Management and Analysis. NSFC No. U1936104, 2020-2022
Querying Similar Nodes on Large-scale Knowledge Graphs. NSFC No. 61702015, 2018-2020
Ad-hoc Generation of Weighted Graph with Complex Relation on Large-scale Knowledge Graph. China Postdoctoral Science Foundation No. 2017M610020, 2017-2018