Yang Gao is affiliated with Google in the United Kingdom. Their research primarily focuses on the field of Computer Science, with a significant number of publications spanning various subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, and Control and Systems Engineering.
Their work covers a variety of main topics including Domain Adaptation and Few-Shot Learning, Multimodal Machine Learning Applications, Advanced Neural Network Applications, Reinforcement Learning in Robotics, Topic Modeling, Natural Language Processing Techniques, and Advanced Image and Video Retrieval Techniques.
Yang Gao has published extensively across multiple venues, with frequent contributions to:
Among Yang Gao's recent papers are:
Yang Gao collaborates frequently with a group of coauthors including Yinghuan Shi, Jing Huo, Lei Qi, Wenbin Li, and Lei Wang, with the number of joint publications ranging from 19 to 54.
The researcher has also contributed to book publications, notably a title on Big Data published by Springer Science+Business Media in 2022.
Wenbin Li;Lei Wang;Jinglin Xu;Jing Huo
Unknown
Yinghuan Shi;Jian Zhang;Tong Ling;Jiwen Lu
Yang Gao;Hongqiang Rong;Joshua Zhexue Huang
Wenbin Li;Jinglin Xu;Jing Huo;Lei Wang
Yong Liu;Weixun Wang;Yujing Hu;Jianye Hao
Lei Qi;Lei Wang;Jing Huo;Luping Zhou
Xiao-Yuan Jing;Xinyu Zhang;Xiaoke Zhu;Fei Wu
Qian Yu;Yinghuan Shi;Jinquan Sun;Yang Gao
Kelei He;Xiaohuan Cao;Yinghuan Shi;Dong Nie
Pinzhuo Tian;Zhangkai Wu;Lei Qi;Lei Wang
Hongwei Huang;Zhangkai Wu;Wenbin Li;Jing Huo
Weixun Wang;Tianpei Yang;Yong Liu;Jianye Hao
Kelei He;Wei Zhao;Xingzhi Xie;Wen Ji
Yinghuan Shi;Yang Gao;Ruili Wang
Wenbin Li;Lei Wang;Jing Huo;Yinghuan Shi
Huaxiong Li;Chao Zhang;Xiuyi Jia;Yang Gao
Kelei He;Chunfeng Lian;Bing Zhang;Xin Zhang
Yujing Hu;Yang Gao;Bo An
Lei Qi;Jing Huo;Lei Wang;Yinghuan Shi
Zhi-Fen He;Ming Yang;Yang Gao;Hui-Dong Liu
Qian Yu;Yinghuan Shi;Jinquan Sun;Yang Gao
Chang Su;Yang Gao;Jianmei Yang;Bin Luo
Jinhua Song;Yang Gao;Hao Wang;Bo An
Jing Huo;Wenbin Li;Yinghuan Shi;Yang Gao
Kelei He;Wei Zhao;Xingzhi Xie;Wen Ji
If you think any of the details on this page are incorrect, let us know.
Studying Computer Science in the USA opens the door to many flexible education and career options. Many students are now pursuing associates degrees online to gain essential skills quickly and affordably, making them job-ready in just two years.
For those aiming to boost their credentials even faster, consider quick certifications that pay well. These programs specialize in high-demand tech fields, allowing you to enter the workforce or secure a promotion without a lengthy time commitment.
If you’re looking to advance your education rapidly, explore the quickest online masters degree options. Accelerated online master’s programs offer flexibility and can be completed in as little as one year—ideal for busy working professionals.
To ensure your investment in further education pays off, research the most worthwhile masters degrees that align with your career goals. Pursuing an in-demand degree improves your job prospects, earning potential, and long-term success in the tech industry.
Argonne National Laboratory
Aalto University
Xiamen University
University of Michigan–Ann Arbor
University of Alabama in Huntsville
French Agency for Food, Environmental and Occupational Health & Safety
University of East Anglia
Charles University
Universidade de São Paulo
Pusan National University
Hong Kong Polytechnic University
University of Hong Kong
University of Montpellier
University of Oxford
Laurentian University
Temple University
