Xin Luo is affiliated with the Chinese Academy of Sciences in China and focuses on research in the fields of Computer Science and Engineering. The scientist has contributed extensively to various subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Molecular Biology, and Information Systems.
Their research encompasses several main topics such as Face and Expression Recognition, Recommender Systems and Techniques, Advanced Graph Neural Networks, Tensor Decomposition and Applications, Complex Network Analysis Techniques, Robotic Mechanisms and Dynamics, and Robot Manipulation and Learning.
Xin Luo has published numerous papers with notable recent works including:
Frequent coauthors of Xin Luo include MengChu Zhou, Long Jin, Ye Yuan, Shuai Li, and Zhibin Li. Their collaborative efforts have led to a substantial body of work characterized by interdisciplinary applications.
The scientist frequently publishes in venues such as arXiv (Cornell University), IEEE/CAA Journal of Automatica Sinica, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Systems Man and Cybernetics Systems, and SSRN Electronic Journal.
Xin Luo has contributed to book publications with Springer Nature, authoring titles including Dynamic Network Representation Based on Latent Factorization of Tensors (2023), Robot Control and Calibration (2023), and Latent Factor Analysis for High-dimensional and Sparse Matrices (2022).
Xin Luo;Mengchu Zhou;Yunni Xia;Qingsheng Zhu
Long Jin;Shuai Li;Hung Manh La;Xin Luo
Zhibin Li;Shuai Li;Xin Luo
Xin Luo;MengChu Zhou;Shuai Li;Zhuhong You
Xin Luo;Hao Wu;Huaqiang Yuan;MengChu Zhou
Ameer Hamza Khan;Shuai Li;Xin Luo
Xin Luo;MengChu Zhou;Yunni Xia;Qingsheng Zhu
Xin Luo;Ye Yuan;Sili Chen;Nianyin Zeng
Xin Luo;MengChu Zhou;Shuai Li;YunNi Xia
Xin Luo;Yunni Xia;Qingsheng Zhu
Long Jin;Shuai Li;Xin Luo;Yangming Li
Xin Luo;MengChu Zhou;Shuai Li;MingSheng Shang
Di Wu;Xin Luo;Mingsheng Shang;Yi He
Yu-An Huang;Zhu-Hong You;Xing Chen;Keith C. C. Chan
Shuai Li;MengChu Zhou;Xin Luo
Di Wu;Xin Luo;Mingsheng Shang;Yi He
Huiyan Lu;Long Jin;Xin Luo;Bolin Liao
Xin Luo;Jianpei Sun;Zidong Wang;Shuai Li
Xin Luo;Zhigang Liu;Shuai Li;Mingsheng Shang
Xin Luo;Dexian Wang;MengChu Zhou;Huaqiang Yuan
Xin Luo;Wen Qin;Ani Dong;Khaled Sedraoui
Xin Luo;MengChu Zhou;Shuai Li;Di Wu
Di Wu;Yi He;Xin Luo;Meng Chu Zhou
If you think any of the details on this page are incorrect, let us know.
Exploring online education can open several pathways for students interested in computer science. For those eager to fast-track their qualifications, the quickest online masters degree options are available, allowing you to advance your knowledge and career in a shorter timeframe.
Choosing the right field is essential when considering a graduate degree. Discovering the most worthwhile masters degrees can help you concentrate on programs that are in high demand and provide the best return on your investment.
If you’re just starting your academic journey or want a flexible entry point, pursuing an associate degree online is a cost-effective way to build foundational knowledge before committing to a four-year program.
Budget-conscious learners can also benefit from seeking out the cheap online college classes that deliver quality education without a hefty price tag. With so many affordable and flexible online options, launching your computer science career has never been more accessible.
University of Maryland, College Park
California Institute of Technology
National University of Singapore
Jaume I University
Karolinska Institute
Centre national de la recherche scientifique, CNRS
Arizona State University
University of North Carolina at Greensboro
Aarhus University
University of Hong Kong
National Institutes of Health
University of Iowa
Northwestern University
National Technical University of Athens
University of Vienna
Centre for Research on Ecology and Forestry Applications
