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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Biography
About me
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Posts
Next Generation AI-Enhanced Multi-Modal Database Optimizer
Published:
We develop the next generation multi-modal query optimizer with the latest AI techniques. In our recent paper LaPuda: LLM-Enabled Policy-Based Query Optimizer for Multi-Modal Data, a large language model (LLM) based query optimizer is designed for efficient multi-modal, semantic query processing.
Combining powerful LLM and traditional database optimization techniques, the new optimizer achieves significant performance to optimize the multi-modal query plans (with both structured and semantic information, covering multiple data modalities), resulting in 3x query execution speedup for complex multi-modal queries. The design scheme also proves the effectiveness of using LLM in modern query optimizers, especially for complex semantic queries. This project is an important step towards practical design of multi-modal data systems in the LLM era.
Notes on using Milvus
Published:
Notes on using Milvus v2.1.x
Why you must implement a template class in the header file?
Published:
The only portable way of using templates at the moment is to implement them in header files by using inline functions.
C++ Notes (1)
Published:
Notes on C++ (1).
Elixir Notes (1) – Basic Issues
Published:
Basic notes for learning Elixir.
Leetcode # 201-250
Published:
My solutions to some Leetcode problems ranging in #201-250.
Some Notes on ASM
Published:
ASM is an important tool for manipulating java bytecode. Here is a summary of typical problems when I was implementing a compiler using Java and ASM.
portfolio
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Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
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). PDF
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 PDF
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. PDF
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 PDF
PilotScope: Steering Databases with Machine Learning Drivers.
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 PDF
Xling: A Learned Filter Framework for Accelerating High-Dimensional Approximate Similarity Join.
Yifan Wang, Vyom Pathak, and Daisy Zhe Wang. "Xling: A Learned Filter Framework for Accelerating High-Dimensional Approximate Similarity Join." arXiv preprint arXiv:2402.13397 (2024). PDF
LaPuda: LLM-Enabled Policy-Based Query Optimizer for Multi-Modal Data.
Yifan Wang, Haodi Ma, and Daisy Zhe Wang. "LaPuda: LLM-Enabled Policy-Based Query Optimizer for Multi-Modal Data". Advances in Knowledge Discovery and Data Mining. PAKDD 2025.
SCOPE: A Generative Approach for LLM Prompt Compression
Tinghui Zhang, Yifan Wang, Daisy Zhe Wang. "SCOPE: A Generative Approach for LLM Prompt Compression". arXiv preprint arXiv:2508.15813
talks
teaching
Teaching assistant for course “Intro to Data Science” in Fall 2019
Undergraduate/Graduate course, University of Florida, 2019
Giving lectures for lab work of the course, grading and question answering.
Teaching assistant for course “Information and Database Systems I” in Fall 2022
Undergraduate course, University of Florida, 2022
Instructing lab work of the course, grading and question answering.
Teaching assistant for course “Computer Networks” in Spring 2023
Graduate course, University of Florida, 2023
Assisting in classes, grading assignments/exams/projects, holding office hours and question answering.
Teaching assistant for course “Data Engineering” in Spring 2024
Graduate course, University of Florida, 2024
Assisting in classes, making up exams, grading assignments/exams/projects, holding office hours and question answering.