CORTEXA
← Browse

Nan Li

5 papers indexed

openalexFrontiers in Nutrition2026-07-24

Pretreatment creatinine-to-cystatin c ratio as a prognostic marker in digestive tract cancers: a meta-analysis with reconstructed individual patient data and trial sequential analysis

Yongping Hao, Wenhua Li, Guangwei Tian, Nan Li

Background Sarcopenia, characterized by loss of skeletal muscle, is associated with unfavorable clinical outcomes in patients with cancer. The creatinine-to-cystatin C ratio (CCR) has emerged as a readily available marker related to muscle reserve. This meta-analysis aimed to exa…

View free PDFSource page
openalex˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences2026-07-23

LiDAR Point Cloud Classification by 3D Sparse CNN for large-scale Mobile Laser Scanning

Nan Li, H. Teufelsbauer, Florian Pöppl, Andreas Ullrich

Abstract. Semantic classification is a fundamental step in Mobile Laser Scanning (MLS) point clouds processing, and remains a non-trivial task. In this work, we propose a classification framework based on a 3D Sparse Convolutional Neural Network (SparseCNN) for efficient processi…

View free PDFSource page
arxivcs.AIcs.CL2026-07-09

The complexities of patient-centred conversational artificial intelligence

João Matos, Olivia Buege, Donny Cheung, Gary S. Collins, Paula Dhiman, Nan Li, et al.

Consumer-facing health chatbots powered by large language models (LLMs) are increasingly used for symptom assessment. However, chatbot development and evaluation often rely on cooperative, articulate, simulated patients. We analysed 2,053 real patient-chatbot conversations and fo…

View free PDFSource page
arxivcs.CLcs.AI2026-06-30

Seeing Is Not Sharing: Some Vision-Language Models Overestimate Common Ground in Asymmetric Dialogue

Nan Li, Albert Gatt, Massimo Poesio

In collaborative dialogue, shared perception does not guarantee shared interpretation. Mutual understanding must be established through interaction. We investigate whether vision-language models (VLMs) can distinguish what could be shared from what has been shared between dialogu…

View free PDFSource page
crossrefActuators2025-12-13Cited by 2

Cloud-Assisted Nonlinear Model Predictive Control with Deep Reinforcement Learning for Autonomous Vehicle Path Tracking

Yuxuan Zhang, Bing Chen, Yan Wang, Nan Li

Model Predictive Control (MPC) stands out as a prominent method for achieving optimal control in autonomous driving applications. However, the effectiveness of MPC approaches critically depends on the availability of accurate dynamic models and often necessitates substantial comp…

View free PDFSource page