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Xiang Lan

10 papers hereh-index 9798 citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author7

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CL5
  • cs.LG2
  • eess.SP2
  • cs.CV1
same name
  • Xiang Lan — 5 papers, h 3
  • Xiang Lan — 4 papers, h 8
  • Xiang Lan — 2 papers, h 1
  • Xiang Lan — 1 paper, h 4
  • Xiang Lan — 1 paper, h 1
  • Xiang Lan — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212025
most citedA Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics

28 citations · 37 across the 9 of their papers we have counts for

collaborators
Showing 2025Show all

3 papers · 1 filter

cs.CL2025

Prediction of mortality and resource utilization in critical care: a deep learning approach using multimodal electronic health records with natural language processing techniques

Yucheng Ruan, Xiang Lan, Daniel J. Tan +2

Background Predicting mortality and resource utilization from electronic health records (EHRs) is challenging yet crucial for optimizing patient outcomes and managing costs in inte…

eess.SP2025

MEETI: A Multimodal ECG Dataset from MIMIC-IV-ECG with Signals, Images, Features and Interpretations

Deyun Zhang, Xiang Lan, Shijia Geng +4

Electrocardiogram (ECG) plays a foundational role in modern cardiovascular care, enabling non-invasive diagnosis of arrhythmias, myocardial ischemia, and conduction disorders. Whil…

cs.CL2025★ 1 cited

GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images

Xiang Lan, Feng Wu, Kai He +3

While recent multimodal large language models (MLLMs) have advanced automated ECG interpretation, they still face two key limitations: (1) insufficient multimodal synergy between t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.