Fine-tuning visual models has been widely shown promising performance on many
downstream visual tasks. With the surprising development of pre-trained visual foundation …

The Internet of Things (IoT) envisions a world-wide, interconnected network of smart
physical entities. These physical entities generate a large amount of data in operation, and …

Recent efforts applying machine learning techniques to query optimization have shown few
practical gains due to substantive training overhead, inability to adapt to changes, and poor …

We live in an increasingly interconnected world, with many organizations operating across
countries or even continents. To serve their global user base, organizations are replacing …

Hybrid Transactional and Analytical Processing (HTAP) databases require processing
transactional and analytical queries in isolation to remove the interference between them. To …

Configuration tuning is vital to optimize the performance of database management system
(DBMS). It becomes more tedious and urgent for cloud databases (CDB) due to the diverse …

Database and Artificial Intelligence (AI) can benefit from each other. On one hand, AI can
make database more intelligent (AI4DB). For example, traditional empirical database …

Knob tuning plays an important role in database optimization, which tunes knob settings to
optimize the database performance or improve resource utilization. However, there are …

High dimensional black-box optimization has broad applications but remains a challenging
problem to solve. Given a set of samples xi, yi, building a global model (like Bayesian …

Index plays an essential role in modern database engines to accelerate the query
processing. The new paradigm of" learned index" has significantly changed the way of …