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researcher

Jie Chen

4 papers here

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

author position
  • first author2
  • middle author2

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

fields
  • cs.CV1
  • eess.AS1
  • eess.IV1
  • stat.ML1
ORCID 0000-0001-8419-4620
same name
  • Jie Chen — 7 papers
  • Jie Chen — 5 papers, h 12
  • Jie Chen — 5 papers
  • Jie Chen — 4 papers
  • Jie Chen — 3 papers, h 44
  • Jie Chen — 2 papers

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 citedDFSMN-SAN with Persistent Memory Model for Automatic Speech Recognition

5 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

eess.IV2020

Deep Spatial-angular Regularization for Compressive Light Field Reconstruction over Coded Apertures

Mantang Guo, Junhui Hou, Jing Jin +2

Coded aperture is a promising approach for capturing the 4-D light field (LF), in which the 4-D data are compressively modulated into 2-D coded measurements that are further decode…

stat.ML2020

Adaptive Explainable Neural Networks (AxNNs)

Jie Chen, Joel Vaughan, Vijayan N. Nair +1

While machine learning techniques have been successfully applied in several fields, the black-box nature of the models presents challenges for interpreting and explaining the resul…

eess.AS2019★ 5 cited

DFSMN-SAN with Persistent Memory Model for Automatic Speech Recognition

Zhao You, Dan Su, Jie Chen +2

Self-attention networks (SAN) have been introduced into automatic speech recognition (ASR) and achieved state-of-the-art performance owing to its superior ability in capturing long…

cs.CV2019

Stratified Labeling for Surface Consistent Parallax Correction and Occlusion Completion

Jie Chen, Lap-Pui Chau, Junhui Hou

The light field faithfully records the spatial and angular configurations of the scene, which facilitates a wide range of imaging possibilities. In this work, we propose an LF synt…

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