Lilin Xu
ICSL Lab
Columbia University
New York, NY
ICSL Lab
Columbia University
New York, NY
I am a first second-year PhD student at Columbia University, advised by Prof. Fred Jiang at the ICSL Lab.
I obtained my M.E. degree from Control Science and Engineering College, Zhejiang University in 2024, advised by Prof. Chaojie Gu and Prof. Shibo He.
I also work with Prof. Rui Tan at Nanyang Technological University.
I received my B.E. degree from Control Science and Engineering College, Zhejiang University in 2021.
My research interests are centered around mobile computing and AIoT (AI + IoT), with a primary focus on developing intelligent sensing systems for practical applications. Recently, I have been working on integrating LLMs into sensing systems to effectively exploit the potential of sensing systems and real-world sensor data.
SocialMind: LLM-based Proactive AR Social Assistive System with Human-like Perception for In-situ Live Interactions
Bufang Yang*, Yunqi Guo*, Lilin Xu* (*equal contribution), Zhenyu Yan, Hongkai Chen, Guoliang Xing, Xiaofan Jiang
ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2025
[Paper]
[Poster]
DrHouse: An LLM-empowered Diagnostic Reasoning System through Harnessing Outcomes from Sensor Data and Expert Knowledge
Bufang Yang, Siyang Jiang, Lilin Xu, Kaiwei Liu, Hai Li, Guoliang Xing, Hongkai Chen, Xiaofan Jiang, Zhenyu Yan
ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2024
[Paper]
Listen to your face: a face authentication scheme based on acoustic signals
Huimin Chen, Chaojie Gu, Lilin Xu, Rui Tan, Shibo He, Jiming Chen
ACM Transactions on Sensor Networks (TOSN), 2025
[Paper]
Latency-aware Neural Architecture Performance Predictor with Query-to-Tier Technique
Bicheng Guo, Lilin Xu, Tao Chen, Peng Ye, Shibo He, Haoyu Liu, Jiming Chen
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023
[Paper]
Generalized Global Ranking-Aware Neural Architecture Ranker for Efficient Image Classifier Search
Bicheng Guo, Tao Chen, Shibo He, Haoyu Liu, Lilin Xu, Peng Ye, Jiming Chen
ACM International Conference on Multimedia (ACM MM), 2022
[Paper]