Zhongfei Zhang is a researcher affiliated with Binghamton University in the United States, specializing primarily in computer science. Their work encompasses a range of subfields within the discipline, with significant contributions in computer vision and pattern recognition, artificial intelligence, radiology, nuclear medicine and imaging, computational theory and mathematics, and molecular biology.
Their research covers multiple advanced topics, including domain adaptation and few-shot learning, advanced neural network applications, multimodal machine learning applications, advanced image and video retrieval techniques, COVID-19 diagnosis using artificial intelligence, computational drug discovery methods, and machine learning and data classification.
Zhang's publication record reflects diverse engagement with these areas, including various papers published from 2020 to 2023. Notable recent works include:
The researcher frequently publishes in venues such as arXiv (Cornell University), Neurocomputing, Proceedings of the AAAI Conference on Artificial Intelligence, Knowledge-Based Systems, and Briefings in Bioinformatics. This variety indicates a multidisciplinary approach bridging both theoretical and applied aspects of computer science.
Zhang has collaborated regularly with several coauthors, including Zhong Ji, Yingming Li, Yunlong Yu, Xiang Deng, and Yanwei Pang. The frequent cooperation with these colleagues suggests well-established research partnerships within their academic community.
Xi Li;Weiming Hu;Chunhua Shen;Zhongfei Zhang
Yingming Li;Ming Yang;Zhongfei Zhang
Bo Long;Zhongfei (Mark) Zhang;Xiaoyun Wú;Philip S. Yu
Shuangfei Zhai;Yu Cheng;Weining Lu;Zhongfei Zhang
Bo Long;Philip S. Yu;Zhongfei (Mark) Zhang
Bo Long;Zhongfei (Mark) Zhang;Philip S. Yu
Aibing Rao;R.K. Srihari;Zhongfei Zhang
Bin Li;Xi Li;Zhongfei Zhang;Fei Wu
Bo Long;Xiaoyun Wu;Zhongfei (Mark) Zhang;Philip S. Yu
Rohini K. Srihari;Zhongfei Zhang;Aibing Rao
Weiming Hu;Xi Li;Wenhan Luo;Xiaoqin Zhang
Weiming Hu;Xi Li;Xiaoqin Zhang;Xinchu Shi
Ruofei Zhang;Zhongfei Zhang;Mingjing Li;Wei-Ying Ma
Shuangfei Zhai;Zhongfei Mark Zhang
Xi Li;Weiming Hu;Zhongfei Zhang;Xiaoqin Zhang
Yunlong Yu;Zhong Ji;Jungong Han;Zhongfei Zhang
Xi Li;Weiming Hu;Zhongfei Zhang;Xiaoqin Zhang
Z. Zhang
Bo Long;Zhongfei Mark Zhang;Philip S. Yu
Zhongang Qi;Tianchun Wang;Guojie Song;Weisong Hu
If you think any of the details on this page are incorrect, let us know.
Pursuing an online Computer Science degree in the USA can open the door to a wealth of fast-emerging careers in technology and allied fields. If you are looking to launch your professional journey quickly, you might consider one of the fastest computer science degree programs. These options let you earn your degree faster without sacrificing quality, helping you enter the job market sooner.
Online degrees also provide flexible pathways to closely related fields. For those interested in sustainability and technology, exploring environmental engineer degree online programs can be a cost-effective choice. Similarly, students aiming to minimize expenses might evaluate the mechanical engineering cost of education when choosing a major.
Not sure which career path matches your interests? Computer Science expertise can also support roles in emerging sectors. For example, our resource on jobs for environmental science majors outlines unique, interdisciplinary opportunities for graduates who combine computer skills with environmental knowledge.
Shaanxi Normal University
University of Cambridge
University of Waterloo
University of La Laguna
New York Hospital Queens
Cardiff University
University of Coimbra
University of Southern California
Thomas Jefferson University
Renmin University of China
University of Oxford
Erasmus University Rotterdam
National Defense Medical College
Duke University
Parthenope University of Naples
Central South University