Kangfei Zhao
Beijing Institute of Technology. (Tenure-track) Professor

Email:zkf1105@gmail.com
I obtained my Ph.D. degree at The Chinese University of Hong Kong (CUHK) in 2019, under the supervison of Prof. Jeffrey Xu Yu. Prior to that, I received the B.Eng. from University of Science and Technology of China (USTC) in 2014.
My research concentrates on ML/DL for Graph and Databases, Graph Data Management, Graph Analytics and Algorithm, In-Database ML.
I’m looking for highly-motivated Ph.D., master and undergraduate students. If you are interested, please drop me an email with the CV. (I plan to support 2-3 master, 1-2 Ph.D. per year, providing personalized academic and career advising, and domestic/oversea intern/RA opportunities in industry and academia.)
selected publications
- VLDBInductive Attributed Community Search: to Learn Communities across GraphsProc. VLDB Endow. 2024
- ICDECommunity Search: A Meta Learning ApproachIn 39th IEEE International Conference on Data Engineering, ICDE 2023 2023
- VLDB JournalLearned sketch for subgraph counting: a holistic approachThe VLDB Journal 2023
- TKDEFinding Critical Users in Social Communities via Graph ConvolutionsIEEE Trans. Knowl. Data Eng. 2023
- SIGMODLightweight and Accurate Cardinality Estimation by Neural Network Gaussian ProcessIn SIGMOD ’22: International Conference on Management of Data, Philadelphia, PA, USA, June 12 - 17, 2022 2022
- TKDESQL-G: Efficient Graph Analytics by SQLIEEE Trans. Knowl. Data Eng. 2021
- SIGMODA Learned Sketch for Subgraph CountingIn SIGMOD ’21: International Conference on Management of Data, Virtual Event, China, June 20-25, 2021 2021
- SIGMODAll-in-One: Graph Processing in RDBMSs RevisitedIn Proceedings of the 2017 ACM International Conference on Management of Data, SIGMOD Conference 2017, Chicago, IL, USA, May 14-19, 2017 2017