Huiyu Zhou
researcher
Facts
4 properties- Instance of
- human
- Occupation
- researcher
- Employer
- University of Leicester (2020–present), University of Leicester (2018–2020), Queen's University Belfast (2012–2017)[2][3][4]
- Imported from
- wholeness_audit_2026-05-02
🏷️ Also known as
en Huiyu Zhou
🔖 Identifiers · 12
- ORCID iD
- 0000-0003-1634-9840
- VIAF cluster ID
- 9270165814881659860007
- GND ID
- 1262282551
- OpenAlex ID
- A5066119228, A5124348614, A5125451852, A5125534301, A5125940396, A5128725651, A5128733042, A5135854326, A5136143788, A5140182508, A5151098808as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- DBLP author ID
- 36/1648
- DDB person (GND) ID
- 1262282551
- Dimensions author ID
- 012122744017.77
- Gateway to Research person ID
- 59A38156-54C3-4231-B4EE-F6D5DA0090D4
- Google Scholar author ID
- bRWUiGIAAAAJ
- IEEE Xplore author ID
- 37405366100
- ResearcherID
- O-2692-2014
- Scopus author ID
- 23062556900, 57195644165
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 190
A benchmark image dataset for industrial tools,
A Biologically Inspired Appearance Model for Robust Visual Tracking,
Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Information,
Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation,
A Deep Convolutional Generative Adversarial Networks (DCGANs)-Based Semi-Supervised Method for Object Recognition in Synthetic Aperture Radar (SAR) Images,
Adversarial-Based Domain Adaptation Networks for Unsupervised Tumour Detection in Histopathology,
Aerial Image Road Extraction Based on an Improved Generative Adversarial Network,
A Few-Shot Learning Method for SAR Images Based on Weighted Distance and Feature Fusion
+182 more
← Authored by 190
A benchmark image dataset for industrial tools,
A Biologically Inspired Appearance Model for Robust Visual Tracking,
Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Information,
Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation,
A Deep Convolutional Generative Adversarial Networks (DCGANs)-Based Semi-Supervised Method for Object Recognition in Synthetic Aperture Radar (SAR) Images,
Adversarial-Based Domain Adaptation Networks for Unsupervised Tumour Detection in Histopathology,
Aerial Image Road Extraction Based on an Improved Generative Adversarial Network,
A Few-Shot Learning Method for SAR Images Based on Weighted Distance and Feature Fusion
+182 more
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Summary
Huiyu Zhou worked as a researcher[1].
Body
Career and Affiliations
Employers include University of Leicester[2], a university[5], in United Kingdom[6], founded in 1921[7], headquartered in Leicester[8] and Queen's University Belfast[4], a public research university[9], in United Kingdom[10], founded in 1845[11].
FAQs
What did Huiyu Zhou do for work?
Huiyu Zhou worked as researcher[1].