Jiye Liang is affiliated with Shanxi University in China and specializes in computer science, with a strong focus on artificial intelligence and related subfields. Their research portfolio encompasses areas such as advanced graph neural networks, face and expression recognition, and domain adaptation and few-shot learning.
Their scholarly output includes publications in a variety of prominent venues, including:
Jiye Liang's recent research papers demonstrate a diverse interest in graph algorithms, clustering methods, and multi-modal data analysis. Selected recent works include:
In terms of research topics, Jiye Liang's work frequently addresses:
Their collaborative network includes multiple frequent co-authors, reflecting a consistent interdisciplinary engagement with peers. Frequent collaborators include:
Jiye Liang's contributions mainly fall within the broad field of computer science, with 283 publications contributing to this domain. Their subfield focus spans artificial intelligence, computer vision and pattern recognition, information systems, computational theory and mathematics, and statistical and nonlinear physics.
Yuhua Qian;Jiye Liang;Yiyu Yao;Chuangyin Dang
Yuhua Qian;Jiye Liang;Witold Pedrycz;Chuangyin Dang
Yuhua Qian;Jiye Liang;Chuangyin Dang
Jiye Liang;Jiye Liang;Zhongzhi Shi
Jiye Liang;Kwai-Sang Chin;Chuangyin Dang;Richard C. M. Yam
Yuhua Qian;Hu Zhang;Yanli Sang;Jiye Liang
Yunsheng Song;Jiye Liang;Jing Lu;Xingwang Zhao
Jiye Liang;Z. Shi;Deyu Li;Mark J. Wierman
Jiye Liang;Feng Wang;Chuangyin Dang;Yuhua Qian
Jiye Liang;Zongben Xu
Yuhua Qian;Jiye Liang;Chuangyin Dang
Yuhua Qian;Jiye Liang;Chuangyin Dang
Yuhua Qian;Jiye Liang;Witold Pedrycz;Chuangyin Dang
Jiye Liang;Feng Wang;Chuangyin Dang;Yuhua Qian
Yuhua Qian;Chuangyin Dang;Jiye Liang;Dawei Tang
Unknown
Yuhua Qian;Jiye Liang;Wei-zhi Z Wu;Chuangyin Dang
Yuhua Qian;Jiye Liang
Liang Bai;Liang Bai;Liang Bai;Xueqi Cheng;Jiye Liang;Huawei Shen
Jiye Liang;Junhong Wang;Yuhua Qian
Y.H. Qian;J.Y. Liang
If you think any of the details on this page are incorrect, let us know.
Exploring Computer Science in the USA opens up a wide range of flexible online education and career opportunities. For those seeking a quicker route into the tech industry, there are easy certifications to get that enable you to boost your resume and earning potential in months, rather than years.
If you’re looking to advance quickly, consider enrolling in one of the fastest masters degree online programs. These accelerated options allow you to obtain an advanced qualification without putting your life or career on hold for an extended period.
Demand for tech-savvy graduates remains high. Researching the most in demand masters degrees can help you align your education with high-growth fields such as data science, cybersecurity, and artificial intelligence.
Alternatively, a 2 year online degree in computer science or related areas offers a cost-effective and time-efficient pathway to entry-level roles in IT, software development, and support. These diverse learning options ensure that students can match their studies to their career goals and life circumstances.
Sultan Qaboos University
Warsaw University of Life Sciences
University of Catania
Rice University
Erasmus University Rotterdam
University of Toronto
Harvard University
Seoul National University
National Taiwan University of Science and Technology
Stanford University
Imperial College London
Central South University
University Medical Center Groningen
Imperial College London
Sapienza University of Rome
King Abdullah University of Science and Technology