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Wenzhan Song

6 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 author4
  • last author1

Across the 5 of 6 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.AI1
  • cs.CV1
  • eess.SP1
same name
  • Wenzhan Song — 3 papers, h 38
  • Wenzhan Song — 3 papers, h 23
  • Wenzhan Song — 3 papers, h 3
  • Wenzhan Song — 3 papers, h 8
  • WenZhan Song — 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

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

3 citations · 3 across the 5 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2026

Peak-Detector: Explainable Peak Detection via Instruction-Tuned Large Language Models in Physiological Sign

Jiahui Li, Yida Zhang, Zixuan Zeng +10

Accurate peak detection across diverse cardiac physiological signals, including the Electrocardiogram (ECG), Photoplethysmogram (PPG), Ballistocardiogram (BCG), and Bodyseismograph…

cs.LG2026

DeepArrhythmia: Segment-Contextualized ECG Arrhythmia Classification via Selective Evidence Acquisition

Jiahui Li, Ruili Fang, Zishuai Liu +3

Beat-level Electrocardiography (ECG) arrhythmia detection aims to assign an arrhythmia class to each beat in a recording, yet many existing systems treat beats as isolated local in…

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.