🌻 Flow with FlorDB

LSH index for approximate set containment search

Unofficial! English original and Chinese translation of the paper.

PyTorch-Direct code on top of PyTorch-1.8.0nightly (e152ca5) for Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)

NETS:Extremely Fast Outlier Detection from a Data Stream via Set-Based Processing

SQLite which supports Per-Page-Logging approach, published at VLDB 2015

Collaborative Edge and Cloud Neural Networks for Real-Time Video Processing

DBSee represents the Teradata best practice beliefs that can be checked for programmatically. DBSee consists of a set of SQL scripts developed by VLDB that run against the Teradata data dictionary. Each script can be used to inform a user of the current state of their Teradata system.

2022 VLDB Summer School

Read the Paper

Blockchain and Database Related Paper/Researcher List

NETS:Extremely Fast Outlier Detection from a Data Stream via Set-Based Processing

Erebus: Explaining the Outputs of Data Streaming Queries

various readings in Saptiotemporal Database Design

A customized and efficient database tuning system [VLDB'22]