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Wenzhan Song

3 papers hereh-index 314 citations13 works total

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

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.LG1
  • eess.SP1
same name
  • Wenzhan Song — 3 papers, h 38
  • Wenzhan Song — 2 papers, h 23
  • WenZhan Song — 1 paper
  • Wenzhan Song — 1 paper, h 3

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

most citedCross-Subject Generalization for EEG Decoding: A Survey of Deep Learning Methods

3 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

eess.SP2026

Physics-Constrained Deep Learning Model for Contactless Blood Pressure Monitoring from Triaxial Bodyseismography

Yuanyuan Zhang, Yida Zhang, Jiahui Li +6

Ballistocardiography (BCG) is promising for unobtrusive long-term blood pressure (BP) monitoring in laboratory settings, but traditional BCG signals are vulnerable to the variation…

cs.AI2026

EarlyDx: An Admission-Anchored Benchmark for Open-Ended Generation of Evidence-Supported ED-Encounter Diagnoses

Jiahui Li, Ruili Fang, Zishuai Liu +5

Clinical diagnosis at hospital admission must be made rapidly from limited, incomplete evidence. Existing diagnosis-prediction benchmarks are poorly suited to this setting: they re…

cs.LG2026★ 3 cited

Cross-Subject Generalization for EEG Decoding: A Survey of Deep Learning Methods

Taida Li, Yujun Yan, Fei Dou +2

Deep learning for cross-subject EEG decoding is hindered by high inter-subject variability, which introduces a severe domain shift between training and unseen test subjects. This s…

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