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Song‐Can Chen

2 papers here

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

author position
  • last author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • q-bio.GN1
ORCID 0000-0002-1531-9511

identity via Semantic Scholar / OpenAlex

collaborators

2 papers

cs.CV2024

PIE: Physics-inspired Low-light Enhancement

Dong Liang, Zhengyan Xu, Ling Li +2

In this paper, we propose a physics-inspired contrastive learning paradigm for low-light enhancement, called PIE. PIE primarily addresses three issues: (i) To resolve the problem o…

q-bio.GN2014

Detecting Differential Expression from RNA-seq Data with Expression Measurement Uncertainty

Li Zhang, Xuejun Liu, Songcan Chen

High-throughput RNA sequencing (RNA-seq) has emerged as a revolutionary and powerful technology for expression profiling. Most proposed methods for detecting differentially express…

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