Baochang Zhang is affiliated with Beihang University in China and has contributed extensively to the fields of computer science and engineering. Their primary research areas include computer vision and pattern recognition, artificial intelligence, radiology, nuclear medicine and imaging, aerospace engineering, and electrical and electronic engineering.
The scientist's work focuses on several main topics, including advanced neural network applications, domain adaptation and few-shot learning, advanced image and video retrieval techniques, video surveillance and tracking methods, human pose and action recognition, anomaly detection techniques and applications, and adversarial robustness in machine learning.
Baochang Zhang has published numerous papers in a variety of peer-reviewed venues, with a significant number of contributions to arXiv (Cornell University). Other frequent publication venues include the Proceedings of the AAAI Conference on Artificial Intelligence, the International Journal of Computer Vision, Neurocomputing, and IEEE Transactions on Neural Networks and Learning Systems.
The frequent coauthors collaborating with Baochang Zhang are:
Among recent papers authored or coauthored by Baochang Zhang are:
Baochang Zhang has also contributed to the domain through book publications, including the title Neural Networks with Model Compression, published by Springer International Publishing in 2024.
Baochang Zhang;Yongsheng Gao;Sanqiang Zhao;Jianzhuang Liu
Mingbao Lin;Rongrong Ji;Yan Wang;Yichen Zhang
Baochang Zhang;Shiguang Shan;Xilin Chen;Wen Gao
Shaohui Lin;Rongrong Ji;Chenqian Yan;Baochang Zhang
Xiaolong Jiang;Zehao Xiao;Baochang Zhang;Xiantong Zhen
Shangzhen Luan;Baochang Zhang;Chen Chen;Xianbin Cao
Peicheng Zhou;Junwei Han;Gong Cheng;Baochang Zhang
Unknown
Mingbao Lin;Rongrong Ji;Yuxin Zhang;Baochang Zhang
Hong Liu;Rongrong Ji;Yongjian Wu;Feiyue Huang
Shangzhen Luan;Chen Chen;Baochang Zhang;Jungong Han
Shaohui Lin;Rongrong Ji;Yuchao Li;Yongjian Wu
Chen Chen;Baochang Zhang;Hongjun Su;Wei Li
Baochang Zhang;Yun Yang;Chen Chen;Linlin Yang
Unknown
Unknown
Gengshen Wu;Zijia Lin;Jungong Han;Li Liu
Baochang Zhang;Lei Zhang;David Zhang;Linlin Shen
Ce Li;Chunyu Xie;Baochang Zhang;Jungong Han
Baochang Zhang;Zhili Mao;Wanquan Liu;Jianzhuang Liu
Xiao Song;Kai Chen;Xu Li;Jinghan Sun
Yuchao Li;Shaohui Lin;Baochang Zhang;Jianzhuang Liu
Xiaolong Jiang;Zehao Xiao;Baochang Zhang;Xiantong Zhen
Mingbao Lin;Rongrong Ji;Zihan Xu;Baochang Zhang
Chunyu Xie;Ce Li;Baochang Zhang;Chen Chen
If you think any of the details on this page are incorrect, let us know.
Pursuing a Computer Science degree in the USA opens doors to a wide variety of online programs and career options that complement this field. For those interested in the theoretical and mathematical foundations of technology, enrolling in an online theoretical physics degree can deepen your understanding of computational principles.
Data-driven roles are also in high demand. If you want advanced analytical skills without a heavy financial burden, consider the cheapest master in data science programs available online. These courses provide industry-relevant skills for roles in big data, AI, and analytics.
For a technology-focused path, the online master’s in electrical engineering degree can upgrade your expertise in hardware, software integration, and emerging tech.
Looking for a quicker route into tech careers? Explore short certificate programs that pay well. These streamlined options suit those aiming for in-demand jobs or career switches without committing to a full degree.
South China University of Technology
University of California, San Diego
University of Padua
California Institute of Technology
Carnegie Mellon University
Université Paris Cité
University of California, San Diego
National University of Rosario
University of Cambridge
Washington University in St. Louis
University of Lausanne
Ben-Gurion University of the Negev
Ames Research Center
Waseda University
Jilin University
ETH Zurich