Ruiping Wang is a researcher affiliated with the Chinese Academy of Sciences in China, with a primary focus on computer science and related subfields. Their body of work includes significant contributions to computer vision, pattern recognition, and artificial intelligence. The scientist's research spans various domains, including advanced neural network applications and domain adaptation, emphasizing multimodal machine learning applications and advanced image and video retrieval techniques.
They have published more than 100 papers, with 66 in computer vision and pattern recognition and 34 related to artificial intelligence. Additional subfields include computational mechanics, polymers and plastics, and media technology. Major topics covered in their research include:
Ruiping Wang has collaborated frequently with a number of co-authors, reflecting a broad network within the field. These co-authors include Xilin Chen, Shiguang Shan, Miaojun Xu, Xian Sun, and Peijin Wang.
The scientist's recent publication record features works in notable venues, predominantly:
Selected recent publications exemplify the scope of their research interests and outputs:
The topics addressed in these publications indicate active engagement with remote sensing, few-shot learning, and continual learning challenges in computer vision. The synthesis of domain adaptation methodologies with advanced machine learning techniques appears central to their contributions.
Haomiao Liu;Ruiping Wang;Shiguang Shan;Xilin Chen
Ruiping Wang;Shiguang Shan;Xilin Chen;Wen Gao
Ruiping Wang;Huimin Guo;Larry S. Davis;Qionghai Dai
Mengyi Liu;Shiguang Shan;Ruiping Wang;Xilin Chen
Ruiping Wang;Xilin Chen
Mengyi Liu;Shaoxin Li;Shiguang Shan;Ruiping Wang
Wen Wang;Ruiping Wang;Zhiwu Huang;Shiguang Shan
Unknown
Zhiwu Huang;Ruiping Wang;Shiguang Shan;Xilin Chen
Yong Liu;Ruiping Wang;Shiguang Shan;Xilin Chen
Zhiwu Huang;Ruiping Wang;Shiguang Shan;Xianqiu Li
Sijin Wang;Ruiping Wang;Ziwei Yao;Shiguang Shan
Mengyi Liu;Ruiping Wang;Shaoxin Li;Shiguang Shan
Huajie Jiang;Ruiping Wang;Shiguang Shan;Xilin Chen
Zhiwu Huang;Shiguang Shan;Ruiping Wang;Haihong Zhang
Ruiping Wang;Shiguang Shan;Xilin Chen;Qionghai Dai
Huajie Jiang;Ruiping Wang;Shiguang Shan;Xilin Chen
Huajie Jiang;Ruiping Wang;Shiguang Shan;Yi Yang
Difei Gao;Ke Li;Ruiping Wang;Shiguang Shan
Zhiwu Huang;Ruiping Wang;Shiguang Shan;Xilin Chen
Zhiwu Huang;Ruiping Wang;Shiguang Shan;Xilin Chen
If you think any of the details on this page are incorrect, let us know.
Choosing to study Computer Science in the USA opens up a wide range of flexible online degree options. Many students are interested in cheap online college classes to control costs while gaining essential skills. Affordable programs make it easier to start your journey without a large financial burden.
If you’re concerned about past academic performance, there are online colleges that accept low gpa. These institutions provide a second chance to thrive in tech and related fields. For those eager to accelerate their studies, many schools now offer accelerated cs degree programs, letting you graduate and launch your career faster.
The skills gained from a Computer Science degree lead to diverse professional opportunities. Beyond tech roles, computer science can also prepare you for careers in fields like environmental science and more. If you want to explore options outside tech, check out some possible jobs for environmental science majors as well.
University of Alberta
University of Alberta
TU Dresden
University of Oslo
University of Tübingen
Istituto Superiore di Sanità
University of Montana
Federal University of Rio de Janeiro
Centers for Disease Control and Prevention
Uppsala University
D. E. Shaw Research
University of California, Irvine
University of Melbourne
Centers for Disease Control and Prevention
University of Minnesota
University of Louisville