DrHouse: An LLM-empowered Diagnostic Reasoning System through Harnessing Outcomes from Sensor Data and Expert Knowledge

no code implementations • 21 May 2024 • Bufang Yang, Siyang Jiang, Lilin Xu, Kaiwei Liu, Hai Li, Guoliang Xing, Hongkai Chen, Xiaofan Jiang, Zhenyu Yan

Large language models (LLMs) have the potential to transform digital healthcare, as evidenced by recent advances in LLM-based virtual doctors.

MESEN: Exploit Multimodal Data to Design Unimodal Human Activity Recognition with Few Labels

no code implementations • 2 Apr 2024 • Lilin Xu, Chaojie Gu, Rui Tan, Shibo He, Jiming Chen

Human activity recognition (HAR) will be an essential function of various emerging applications.

Contrastive Learning Human Activity Recognition

Detection of Small Targets in Sea Clutter Based on RepVGG and Continuous Wavelet Transform

no code implementations • 14 Nov 2023 • Jingchen Ni, Haoru Li, Lilin Xu, Jing Liang

In this work, we propose a RepVGGA0-CWT detector, where RepVGG is a residual network that gains a high detection accuracy.

Generalized Global Ranking-Aware Neural Architecture Ranker for Efficient Image Classifier Search

1 code implementation • 30 Jan 2022 • Bicheng Guo, Tao Chen, Shibo He, Haoyu Liu, Lilin Xu, Peng Ye, Jiming Chen

The NAR explores the quality tiers of the search space globally and classifies each individual to the tier they belong to according to its global ranking.

Neural Architecture Search Reinforcement Learning (RL)