1 citations · 1 across the 7 of their papers we have counts for
7 papers
Beyond Single-Modal Analytics: A Framework for Integrating Heterogeneous LLM-Based Query Systems for Multi-Modal Data
Ruyu Li, Tinghui Zhang, Haodi Ma +2
With the increasing use of multi-modal data, semantic query has become more and more demanded in data management systems, which is an important way to access and analyze multi-moda…
Efficient Filtered-ANN via Learning-based Query Planning
Zhuocheng Gan, Yifan Wang
Filtered ANN search is an increasingly important problem in vector retrieval, yet systems face a difficult trade-off due to the execution order: Pre-filtering (filtering first, the…
SCOPE: A Generative Approach for LLM Prompt Compression
Tinghui Zhang, Yifan Wang, Daisy Zhe Wang
A big issue in modern LLM applications is they tend to feed long context to LLM, which results in high inference cost and latency, and may exceed the context limit. Prompt compress…
LaPuda: LLM-Enabled Policy-Based Query Optimizer for Multi-modal Data
Yifan Wang, Haodi Ma, Daisy Zhe Wang
Large language model (LLM) has marked a pivotal moment in the field of machine learning and deep learning. Recently its capability for query planning has been investigated, includi…
Xling: A Learned Filter Framework for Accelerating High-Dimensional Approximate Similarity Join
Yifan Wang, Vyom Pathak, Daisy Zhe Wang
Similarity join finds all pairs of close points within a given distance threshold. Many similarity join methods have been proposed, but they are usually not efficient on high-dimen…
Learned Accelerator Framework for Angular-Distance-Based High-Dimensional DBSCAN
Yifan Wang, Daisy Zhe Wang
Density-based clustering is a commonly used tool in data science. Today many data science works are utilizing high-dimensional neural embeddings. However, traditional density-based…
Extensible Database Simulator for Fast Prototyping In-Database Algorithms
Yifan Wang, Daisy Zhe Wang
With the rapid increasing of data scale, in-database analytics and learning has become one of the most studied topics in data science community, because of its significance on redu…