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researcher

Shuhao Mei

7 papers hereh-index 228 citations10 works total

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

author position
  • first author2
  • middle author4

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • astro-ph.CO1
  • cs.AI1
  • cs.CV1
  • q-bio.NC1

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedDeep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series

22 citations · 23 across the 7 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2026

Fronto-parietal and fronto-temporal EEG coherence as predictive neuromarkers of transcutaneous auricular vagus nerve stimulation response in treatment-resistant schizophrenia: A machine learning study

Yapeng Cui, Ruoxi Yun, Shumin Zhang +16

Response variability limits the clinical utility of transcutaneous auricular vagus nerve stimulation (taVNS) for negative symptoms in treatment-resistant schizophrenia (TRS). This…

cs.LG2026

Rethinking Time Series Domain Generalization via Structure-Stratified Calibration

Jinyang Li, Shuhao Mei, Xiaoyu Xiao +3

For time series arising from latent dynamical systems, existing cross-domain generalization methods commonly assume that samples are comparably meaningful within a shared represent…

cs.LG2024★ 22 cited

Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series

Shuhao Mei, Xin Li, Yuxi Zhou +9

Chronic Obstructive Pulmonary Disease (COPD) is a chronic lung condition characterized by airflow obstruction. Current diagnostic methods primarily rely on identifying prominent fe…

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