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Gang Pan

15 papers hereh-index 10444 citations38 works total

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

author position
  • last author15

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.AI4
  • cs.CV2
  • eess.SP2
  • cs.CL1
  • eess.IV1
same name
  • Gang Pan — 20 papers, h 49
  • Gang Pan — 14 papers, h 18
  • Gang Pan — 11 papers, h 14
  • Gang Pan — 10 papers, h 5
  • Gang Pan — 7 papers, h 7
  • Gang Pan — 6 papers, h 5

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
20232026
most citedCBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding

3 citations · 7 across the 14 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.LG2024

Personalized Sleep Staging Leveraging Source-free Unsupervised Domain Adaptation

Yangxuan Zhou, Sha Zhao, Jiquan Wang +5

Sleep staging is crucial for assessing sleep quality and diagnosing related disorders. Recent deep learning models for automatic sleep staging using polysomnography often suffer fr…

cs.CV2024

A Framework For Image Synthesis Using Supervised Contrastive Learning

Yibin Liu, Jianyu Zhang, Li Zhang +2

Text-to-image (T2I) generation aims at producing realistic images corresponding to text descriptions. Generative Adversarial Network (GAN) has proven to be successful in this task.…

eess.SP2024★ 3 cited

CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding

Jiquan Wang, Sha Zhao, Zhiling Luo +5

Electroencephalography (EEG) is a non-invasive technique to measure and record brain electrical activity, widely used in various BCI and healthcare applications. Early EEG decoding…

eess.SP2024★ 1 cited

Generalizable Sleep Staging via Multi-Level Domain Alignment

Jiquan Wang, Sha Zhao, Haiteng Jiang +3

Automatic sleep staging is essential for sleep assessment and disorder diagnosis. Most existing methods depend on one specific dataset and are limited to be generalized to other un…

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