Qingshan Liu is affiliated with Nanjing University of Information Science and Technology in China. Their research primarily spans the fields of Computer Science and Engineering, with a significant focus on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Atmospheric Science, and Computational Mechanics.
The scientist's work addresses a range of advanced topics including Advanced Neural Network Applications, Advanced Image and Video Retrieval Techniques, Remote-Sensing Image Classification, Visual Attention and Saliency Detection, Domain Adaptation and Few-Shot Learning, Human Pose and Action Recognition, and Advanced Vision and Imaging.
Qingshan Liu has published extensively with frequent appearances in several reputable venues. These include:
The researcher has collaborated multiple times with several frequent co-authors such as Renlong Hang, Kaihua Zhang, Hui Shuai, Yubao Sun, and Guiyu Xia. This indicates a strong network of partnerships particularly focused on remote sensing and image analysis topics.
Recent notable papers authored or co-authored by Qingshan Liu include:
The focus of these publications highlights an emphasis on hyperspectral image analysis, machine learning methodologies such as convolutional neural networks and generative adversarial networks, and application domains including remote sensing and facial expression recognition.
Renlong Hang;Qingshan Liu;Danfeng Hong;Pedram Ghamisi
Jun Xu;Lei Xiang;Qingshan Liu;Hannah Gilmore
Kaihua Zhang;Lei Zhang;Qingshan Liu;Dapeng Zhang
Hongliang Jin;Qingshan Liu;Hanqing Lu;Xiaofeng Tong
Lin Zhong;Qingshan Liu;Peng Yang;Bo Liu
Qingshan Liu;Xiaoou Tang;Hongliang Jin;Hanqing Lu
Rui Huang;Qingshan Liu;Hanqing Lu;Songde Ma
Kaihua Zhang;Qingshan Liu;Yi Wu;Ming-Hsuan Yang
Renlong Hang;Zhu Li;Pedram Ghamisi;Danfeng Hong
Yuchi Huang;Qingshan Liu;Shaoting Zhang;Dimitris N. Metaxas
Huihui Song;Qingshan Liu;Guojie Wang;Renlong Hang
Zengqun Zhao;Qingshan Liu;Shanmin Wang
Qingshan Liu;Feng Zhou;Renlong Hang;Xiaotong Yuan
Renlong Hang;Zhu Li;Qingshan Liu;Pedram Ghamisi
Jing Yang;Qingshan Liu;Kaihua Zhang
Xinyi Cui;Qingshan Liu;Mingchen Gao;Dimitris N. Metaxas
Qingshan Liu;Hanqing Lu;Songde Ma
Jing Liu;Mingjing Li;Qingshan Liu;Hanqing Lu
Yuchi Huang;Qingshan Liu;Dimitris Metaxas
Feng Zhou;Renlong Hang;Qingshan Liu;Xiaotong Yuan
Qingshan Liu;Rui Huang;Hanqing Lu;Songde Ma
If you think any of the details on this page are incorrect, let us know.
Exploring Computer Science in the USA often goes hand-in-hand with other STEM fields. Many students consider related areas such as engineering, data science, and physics, as these disciplines share foundational skills and overlapping career pathways.
If you are interested in sustainable technology or the environmental impact of computing, an environmental engineering bachelor's degree online can open the door to careers in green technology and resource management. For those who are passionate about applied problem-solving, an online degree in mechanical engineering lets you combine computing with the design and analysis of mechanical systems.
A strong understanding of core scientific principles is also crucial. Consider the cheapest online physics degree to enhance your analytical skills and prepare for interdisciplinary work. Finally, for students interested in big data and analytics, an affordable data science degree is an excellent complement or alternative to traditional computer science studies. These flexible, online options provide a range of affordable and accessible pathways to a rewarding tech career.
University of California, Berkeley
University of Pennsylvania
University of Münster
National Radio Astronomy Observatory
University of Oxford
Institute of Cancer Research
National Institutes of Health
University of Copenhagen
Hong Kong Polytechnic University
Harvard Medical School
Centre national de la recherche scientifique, CNRS
World Bank
Heinrich Heine University Düsseldorf
Virginia Commonwealth University
University of Cambridge
University of Waterloo
