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Junhua Li

4 papers hereh-index 14683 citations27 works total

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

author position
  • first author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG1
  • eess.SP1
same name
  • Junhua Li — 3 papers, h 2
  • Junhua Li — 2 papers, h 0
  • Junhua Li — 1 paper, h 23

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
20142020
most citedFeature Learning from Incomplete EEG with Denoising Autoencoder

166 citations · 366 across the 4 of their papers we have counts for

collaborators

4 papers

eess.SP2020★ 121 cited

Deep Learning in EEG: Advance of the Last Ten-Year Critical Period

Shu Gong, Kaibo Xing, Andrzej Cichocki +1

Deep learning has achieved excellent performance in a wide range of domains, especially in speech recognition and computer vision. Relatively less work has been done for EEG, but t…

cs.LG2019★ 62 cited

Multi-Kernel Capsule Network for Schizophrenia Identification

Tian Wang, Anastasios Bezerianos, Andrzej Cichocki +1

Objective: Schizophrenia seriously affects the quality of life. To date, both simple (linear discriminant analysis) and complex (deep neural network) machine learning methods have…

cs.CV2014★ 166 cited

Feature Learning from Incomplete EEG with Denoising Autoencoder

Junhua Li, Zbigniew Struzik, Liqing Zhang +1

An alternative pathway for the human brain to communicate with the outside world is by means of a brain computer interface (BCI). A BCI can decode electroencephalogram (EEG) signal…

cs.CV2014★ 17 cited

Canonical Polyadic Decomposition with Auxiliary Information for Brain Computer Interface

Junhua Li, Chao Li, Andrzej Cichocki

Physiological signals are often organized in the form of multiple dimensions (e.g., channel, time, task, and 3D voxel), so it is better to preserve original organization structure…

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