5 papers
EyeCue: Driver Cognitive Distraction Detection via Gaze-Empowered Egocentric Video Understanding
Lang Zhang, JinYi Yoon, Matthew Corbett +2
Driver cognitive distraction is a major cause of road collisions and remains difficult to detect. Unlike manual or visual distraction, cognitive distraction is diverted by thoughts…
iMAD: Intelligent Multi-Agent Debate for Efficient and Accurate LLM Inference
Wei Fan, JinYi Yoon, Bo Ji
Large Language Model (LLM) agent systems have advanced rapidly, driven by their strong generalization in zero-shot settings. To further enhance reasoning and accuracy on complex ta…
S2M3: Split-and-Share Multi-Modal Models for Distributed Multi-Task Inference on the Edge
JinYi Yoon, JiHo Lee, Ting He +2
With the advancement of Artificial Intelligence (AI) towards multiple modalities (language, vision, speech, etc.), multi-modal models have increasingly been used across various app…
P3SL: Personalized Privacy-Preserving Split Learning on Heterogeneous Edge Devices
Wei Fan, JinYi Yoon, Xiaochang Li +2
Split Learning (SL) is an emerging privacy-preserving machine learning technique that enables resource constrained edge devices to participate in model training by partitioning a m…
HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models
Kazi Hasan Ibn Arif, JinYi Yoon, Dimitrios S. Nikolopoulos +3
High-resolution Vision-Language Models (VLMs) are widely used in multimodal tasks to enhance accuracy by preserving detailed image information. However, these models often generate…