66 citations · 97 across the 15 of their papers we have counts for
4 papers · 1 filter
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches
Rana Muhammad Shahroz Khan, Pingzhi Li, Sukwon Yun +4
As large language models (LLMs) increasingly shape the AI landscape, fine-tuning pretrained models has become more popular than in the pre-LLM era for achieving optimal performance…
Characterizing Disparity Between Edge Models and High-Accuracy Base Models for Vision Tasks
Zhenyu Wang, Shahriar Nirjon
Edge devices, with their widely varying capabilities, support a diverse range of edge AI models. This raises the question: how does an edge model differ from a high-accuracy (base)…
SensEmo: Enabling Affective Learning through Real-time Emotion Recognition with Smartwatches
Kushan Choksi, Hongkai Chen, Karan Joshi +3
Recent research has demonstrated the capability of physiological signals to infer both user emotional and attention responses. This presents an opportunity for leveraging widely av…
Data Distribution Dynamics in Real-World WiFi-Based Patient Activity Monitoring for Home Healthcare
Mahathir Monjur, Jia Liu, Jingye Xu +10
This paper examines the application of WiFi signals for real-world monitoring of daily activities in home healthcare scenarios. While the state-of-the-art of WiFi-based activity re…