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researcher

G. Tang

13 papers hereh-index 594 citations22 works total

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

author position
  • first author1
  • middle author12

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • eess.SP6
  • cs.AI3
  • cs.LG3
  • cs.CV1
same name
  • G. Tang — 158 papers, h 17
  • G. Tang — 110 papers, h 26
  • G. Tang — 92 papers, h 5
  • G. Tang — 39 papers, h 5
  • G. Tang — 38 papers, h 6
  • G. Tang — 36 papers, h 2

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
20242026
most citedDeep Imbalanced Regression to Estimate Vascular Age from PPG Data: a Novel Digital Biomarker for Cardiovascular Health

1 citations · 1 across the 11 of their papers we have counts for

collaborators
Showing 2026 · eess.SPShow all

3 papers · 2 filters

eess.SP2026

Wearable Single-Lead ECG Detects Fine-Grained Structural Heart Disease Through Echo-Report Supervision

Chenyang He, Qinghao Zhao, Shun Huang +9

Structural heart disease (SHD) is a primary driver of heart failure and cardiovascular mortality, yet early detection remains constrained by the limited accessibility of echocardio…

eess.SP2026

Holter-to-Sleep: AI-Enabled Repurposing of Single-Lead ECG for Sleep Phenotyping

Donglin Xie, Qingshuo Zhao, Jingyu Wang +9

Sleep disturbances are tightly linked to cardiovascular risk, yet polysomnography (PSG)-the clinical reference standard-remains resource-intensive and poorly suited for multi-night…

eess.SP2026

AnyECG: Evolved ECG Foundation Model for Holistic Health Profiling

Jun Li, Hongling Zhu, Yujie Xiao +8

Background: Artificial intelligence enabled electrocardiography (AI-ECG) has demonstrated the ability to detect diverse pathologies, but most existing models focus on single diseas…

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