Ruitao Xie is an associate professor at the CSSE Shenzhen University. She leads the Intelligent Cloud-Edge Computing group in IOT Research Center. Her research interests include scheduling system resources to improve the performance of AI applications, edge computing, cloud computing, and mobile computing. She is the principal investigator of several projects, including two projects funded by the National Natural Science Foundation of China (NSFC) and a project funded by the Natural Science Foundation of Guangdong Province of China. She has published 20 research papers in international leading journals and conferences, like JSAC, TPDS, TMC, TCC, TVT, TIFS, MWC, INFOCOM, etc.
I am looking for strongly motivated graduate students to join our research group.
Leveraging emerging edge computing and 5G networks, researchers proposed to offload the 3D rendering of interactive multimedia …
Leveraging emerging mobile edge computing and 5G networks, researchers proposed to offload the 3D rendering of interactive applications …
Mobile edge computing provides users with low response time and avoids unnecessary data transmission. Due to the deployment of 5G, the …
Recently, deep learning has been used to tackle mobile sensing problems, and the inference phase of deep learning is preferred to be …
Many big-data computing applications have been deployed in cloud platforms. These applications normally demand concurrent data …
Virtual machine migration has been touted as one of the crucial technologies in improving data center efficiency, such as reducing …
Compressive sensing (CS) can reduce the number of data transmissions and balance the traffic load throughout networks. However, the …
Academic Year and Semester | Course | Score | Evaluation Relative Ranking (TOP) |
---|---|---|---|
2022-2023 Spring | Computer Networks | 98.39 | 4.84% |
2021-2022 Spring | Computer Networks | 97.44 | 14.62% |
2020-2021 Spring | Computer Networks | 96.15 | 11.76% |
2021-2022 Fall | Discrete Mathematics | 97.48 | 10.97% |
2019-2020 Fall | Discrete Mathematics | 93.05 | 16.15% |
2018-2019 Fall | Discrete Mathematics | 92.66 | 14.81% |