Edge LLM Papers

Papers on Edge LLMs and Mobile Agents.

Key Contributors to EdgeLLMs

Song Han: Song Han is an associate professor at MIT and a member of the MIT-IBM Watson AI Lab. He is known for his work on deep learning model efficiency and is a senior author of the paper on PockEngine.
Yunxin Liu: Yunxin Liu is a researcher known for his work in mobile computing, edge computing, and AI. He has collaborated with Yuanchun Li on various projects, showcasing a strong focus on enhancing mobile and edge computing technologies.
Yuanchun Li: Yuanchun Li is a professor at Tsinghua University, contributing significantly to the field of edge computing and AI. His work includes research on AdaptiveNet for post-deployment neural architecture adaptation and AutoDroid for LLM-powered task automation in Android.
Mengwei Xu: Mengwei Xu is affiliated with Beijing University of Posts and Telecommunications (BUPT). He has made contributions to resource-efficient LLMs, multimodal foundation models, and projects like RROS for dual-kernel OS designed for satellites.
Siheng Chen: Siheng Chen is a tenure-track associate professor of Shanghai Jiao Tong University and co-PI at Shanghai AI laboratory. His research interests include collaborative & graph machine learning.