Associated professor at Yangzhou University, China
Dr. Yi Yang is an associated professor in the College of Veterinary Medicine at Yangzhou University, located at 48 East Wenhui Road, Yangzhou, Jiangsu, China (225009). He earned his Doctor of Veterinary Medicine (DVM) in 2013 and completed his PhD in Preventive Veterinary Medicine in 2018, both from Yangzhou University. Dr. Yang’s academic journey includes a visiting scholar position at the College of Veterinary Medicine, Kansas State University, from December 2015 to December 2016. His research interests encompass molecular diagnosis, vector-borne agents with zoonotic importance, and Bovine Leukemia Virus…
Professional Profiles:
scopus profile
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googlescholar profile
ResearchGate profile
Education:
PhD in Preventive Veterinary Medicine, Yangzhou University, 2018 DVM in Veterinary Medicine, Yangzhou University, 2013 
Research Interests:
Molecular diagnosis, Vector-borne agents with zoonotic importance, Bovine Leukemia Virus.
Research Focus:
The person’s research focus appears to center around computer vision, specifically with a strong emphasis on person re-identification. They have contributed significantly to the field, exploring techniques such as random erasing data augmentation, beyond part models for person retrieval, and the use of unlabeled samples generated by GANs to enhance person re-identification. Additionally, their work extends to areas like filter pruning for neural network acceleration, domain adaptation, and discriminative feature selection. The individual’s research demonstrates a comprehensive understanding of both theoretical and practical aspects of computer vision, with a particular interest in advancing person re-identification methodologies for real-world applications. 
Peer Reviewer & Academic Engagements:
Dr. Yi Yang citation metrics and indices from Google Scholar are as follows:
Citations: 62989 (All), 55714 (Since 2018)
h-index: 120 (All), 106 (Since 2018)
i10-index: 406 (All), 386 (Since 2018)
Publications (TOP NOTES)
Beyond part models: Person retrieval with refined part pooling (and a strong convolutional baseline), cited by: 1141, publication date: 2018
Improving person re-identification by attribute and identity learning, cited by: 571, publication date: 2019/11/1
Contrastive adaptation network for unsupervised domain adaptation, cited by: 870, publication date: 2019
Joint discriminative and generative learning for person re-identification, cited by: 818, publication date: 2019
Nas-bench-201: Extending the scope of reproducible neural architecture search, cited by: 644, publication date: 2020/1/2
Invariance matters: Exemplar memory for domain adaptive person re-identification, cited by: 644, publication date: 2019
Sg-one: Similarity guidance network for one-shot semantic segmentation, cited by: 383, publication date: 2020/6/4
Collaborative video object segmentation by foreground-background integration, cited by: 225, publication date: 2020/8/23
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