Bo Yuan

A Parallel GPU-Based Approach to Clustering Very Fast Data Streams

2015

Clustering data streams has become a hot topic in the era of big data. Driven by the ever increasing volume, velocity and variety of data, more efficient algorithms for clustering large-scale complex data streams are …

How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?

2020 · arXiv (Cornell University)

Unsupervised domain adaptation (UDA) aims to train a target classifier with labeled samples from the source domain and unlabeled samples from the target domain. Classical UDA learning bounds show that target risk is upper bounded …

When Large Language Models Meet Vector Databases: A Survey

2024 · arXiv (Cornell University)

This survey explores the synergistic potential of Large Language Models (LLMs) and Vector Databases (VecDBs), a burgeoning but rapidly evolving research area. With the proliferation of LLMs comes a host of challenges, including hallucinations, outdated …