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cs.DB2026

MojoFrame: Dataframe Library in Mojo Language

Shengya Huang, Zhaoheng Li, Derek Warner +1

Mojo is an emerging programming language built on MLIR (Multi-Level Intermediate Representation) and supports JIT (Just-in-Time) compilation. It enables transparent hardware-specif…

cs.DB2025

Cloud-Native Vector Search: A Comprehensive Performance Analysis

Zhaoheng Li, Wei Ding, Silu Huang +5

Vector search has been widely employed in recommender system and retrieval-augmented-generation pipelines, commonly performed with vector indexes to efficiently find similar items…

cs.DB2025

Chipmink: Efficient Delta Identification for Massive Object Graph

Supawit Chockchowwat, Sumay Thakurdesai, Zhaoheng Li +2

Ranging from batch scripts to computational notebooks, modern data science tools rely on massive and evolving object graphs that represent structured data, models, plots, and more.…

cs.DB2025

QStore: Quantization-Aware Compressed Model Storage

Raunak Shah, Zhaoheng Li, Yongjoo Park

Modern applications commonly leverage large, multi-modal foundation models. These applications often feature complex workflows that demand the storage and usage of similar models i…

cs.DB2025

SIEVE: Effective Filtered Vector Search with Collection of Indexes

Zhaoheng Li, Silu Huang, Wei Ding +2

Many real-world tasks such as recommending videos with the kids tag can be reduced to finding most similar vectors associated with hard predicates. This task, filtered vector searc…

cs.DB2025

Kishu: Time-Traveling for Computational Notebooks

Zhaoheng Li, Supawit Chockchowwat, Ribhav Sahu +2

Computational notebooks (e.g., Jupyter, Google Colab) are widely used by data scientists. A key feature of notebooks is the interactive computing model of iteratively executing cel…