Hong Jia

Enabling On-Device LLMs Personalization with Smartphone Sensing

2024 · arXiv (Cornell University)

This demo presents a novel end-to-end framework that combines on-device large language models (LLMs) with smartphone sensing technologies to achieve context-aware and personalized services. The framework addresses critical limitations of current personalization solutions via cloud …

FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models

2025

Large Language Models (LLMs) have achieved state-of-the-art results across diverse domains, yet their development remains reliant on vast amounts of publicly available data, raising concerns about data scarcity and the lack of access to domain-specific, …

Foundation Models for Anomaly Detection: Vision and Challenges

2025 · AI Magazine

Abstract As data continues to grow in volume and complexity across domains such as finance, manufacturing, and healthcare, effective anomaly detection is essential for identifying irregular patterns that may signal critical issues. Recently, foundation models …

Categorical Data Clustering via Value Order Estimated Distance Metric Learning

2025 · Proceedings of the ACM on Management of Data

Clustering is a popular machine learning technique for data mining that can process and analyze datasets to automatically reveal sample distribution patterns. Since the ubiquitous categorical data naturally lack a well-defined metric space such as …