Guobin Shen is affiliated with Zepp Labs in the United States, focusing on research that intersects engineering, computer science, and neuroscience. Their work primarily spans areas such as electrical and electronic engineering, cognitive neuroscience, and artificial intelligence.
The scientist's research topics cover a diverse array of subjects, including:
Guobin Shen has contributed to several recent publications in high-profile venues, including:
The scientist frequently collaborates with researchers such as Dongcheng Zhao, Yi Zeng, Jindong Li, Yiting Dong, and Feifei Zhao. These collaborations have contributed to a body of work featured in venues including arXiv (Cornell University), SSRN Electronic Journal, Patterns, Proceedings of the AAAI Conference on Artificial Intelligence, and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
Guobin Shen's body of work includes extensive contributions in engineering and computer science, with 59 and 51 publications respectively, and 32 in neuroscience. Subfields of focus extend into electrical and electronic engineering, cognitive neuroscience, artificial intelligence, computer vision and pattern recognition, and signal processing.
Chunyi Peng;Guobin Shen;Yongguang Zhang;Yanlin Li
Liqun Li;Pan Hu;Chunyi Peng;Guobin Shen
Guo Bin Shen;Shipeng Li
Yuanchao Shu;Cheng Bo;Guobin Shen;Chunshui Zhao
Guobin Shen;Zhuo Chen;Peichao Zhang;Thomas Moscibroda
Pengfei Zhou;Yuanqing Zheng;Zhenjiang Li;Mo Li
Pengfei Zhou;Mo Li;Guobin Shen
Yuanqing Zheng;Guobin Shen;Liqun Li;Chunshui Zhao
Yuanqing Zheng;Guobin Shen;Liqun Li;Chunshui Zhao
Changxi Zheng;Guobin Shen;Shipeng Li;Scott Shenker
Guobin Shen;Hao Wang;Shipeng Li
Shahriar Nirjon;Robert F. Dickerson;Qiang Li;Philip Asare
Liqun Li;Guobin Shen;Chunshui Zhao;Thomas Moscibroda
Jiangtao Li;Angli Liu;Guobin Shen;Liqun Li
Sandeep Kishan Singhal;Peter Bernard Key;Ming Zhang;Guobin Shen
Anran Wang;Zhuoran Li;Chunyi Peng;Guobin Shen
Xieyang Xu;Yang Shen;Junrui Yang;Chenren Xu
Changxi Zheng;Guobin Shen;Shipeng Li
Huatao Xu;Pengfei Zhou;Rui Tan;Mo Li
Guobin Shen;Ye Wang;Yongqiang Xiong;Ben Y. Zhao
Guobin Shen;Guang-Ping Gao;Shipeng Li;Heung-Yeung Shum
If you think any of the details on this page are incorrect, let us know.
Exploring online degrees in computer science can open a wide range of career opportunities, whether you’re just starting or advancing your expertise. Many students are now opting for an online associate degree to build foundational knowledge and quickly enter the workforce.
If you’re looking to boost your career prospects further, consider reviewing which master's degree is most in demand in USA. Graduate qualifications, especially in fields like computer science, can lead to higher earning potential and specialized roles.
Cost is always a significant factor. Fortunately, there are options for everyone, including the most affordable online colleges offering accredited programs without the hefty price tag.
Worried about your academic record? Many students ask, will grad schools accept low gpa? The good news is that several respected colleges provide flexible admissions policies, making higher education more accessible.
The University of Texas at Austin
Chalmers University of Technology
McMaster University
Oklahoma State University
University of California, Santa Barbara
California State University, Fullerton
Roche (Switzerland)
University of Geneva
Heidelberg University
Uppsala University
Beijing University of Civil Engineering and Architecture
University of Canterbury
Brunel University London
Pennsylvania State University
Shiga University of Medical Science
Centre national de la recherche scientifique, CNRS