A Survey on Efficient Processing of Similarity Queries over Neural Embeddings.
Yifan Wang. "A Survey on Efficient Processing of Similarity Queries over Neural Embeddings." arXiv preprint arXiv:2204.07922 (2022).
CV
Education
- Doctor of Philosophy in Computer Science, University of Florida, 2019 - 2024
- Master of Science in Computer Science, University of Florida, 2017 - 2019
- Bachelor of Engineering in Electronics and Information Engineering, Huazhong University of Science and Technology, 2013 - 2017
Research interests
- Database systems
- High-dimensional data management (e.g., vector database and vector search)
- AI + DB
- Data analytic systems
- Information retrieval
Professional service
- Program Committee: CIKM 2022, VLDB 2025
Work experience
- Summer 2023: Research Intern
- Alibaba (DAMO Academy)
- Duties included: Working on PilotScope (github.com/alibaba/pilotscope), as well as conducting research on high-performance vector databases
- Summer 2021: Software Engineer Intern
- Amazon (Aurora Team)
- Duties included: Building a random SQL query generation tool using C++ to test Babelfish for Aurora PostgreSQL, the top project in AWS open source projects
- Summer 2018: Software Engineer Intern
- Oak Ridge National Laboratory
- Duties included: (1) Building an online monitoring system for large-scale 3D printers using C# and ASP.NET, jQuery and Bootstrap. (2) Optimizing circle packing algorithm module of large-scale 3D printing and made it 10 times faster.
Skills
- Parallel computing
- Distributed computing
- C/C++/C#
- Python
- Java, Scala
- Apache Spark
- MySQL, PostgreSQL, SQLite
- OpenMP
Publications
Extensible Database Simulator for Fast Prototyping In-Database Algorithms.
Yifan Wang and Daisy Zhe Wang. 2022. Extensible Database Simulator for Fast Prototyping In-Database Algorithms. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM '22). Association for Computing Machinery, New York, NY, USA, 5029–5033. https://doi.org/10.1145/3511808.3557205
Learned Accelerator Framework for Angular-Distance-Based High-Dimensional DBSCAN
Yifan Wang, and Daisy Zhe Wang. "Learned Accelerator Framework for Angular-Distance-Based High-Dimensional DBSCAN". In Proceedings of the 26th International Conference on Extending Database Technology (EDBT), 28th March-31st March, 2023.
LIDER: An Efficient High-dimensional Learned Index for Large-scale Dense Passage Retrieval.
Yifan Wang, Haodi Ma, and Daisy Zhe Wang. "LIDER: An Efficient High-dimensional Learned Index for Large-scale Dense Passage Retrieval". PVLDB, 16(2): 154 - 166, 2022. doi:10.14778/3565816.3565819
PilotScope: Steering Databases with Machine Learning Drivers.
(Accepted by VLDB 2024) Rong Zhu, Lianggui Weng, Wenqing Wei, Di Wu, Jiazhen Peng, Yifan Wang, Bolin Ding, Defu Lian, Bolong Zheng, Jingren Zhou. "PilotScope: Steering Databases with Machine Learning Drivers." VLDB 2024