B.Eng., Telecommunication Engineering, Shandong University, China, 2010
M.Eng., Information and Communication Engineering, University of Science and Technology of China, 2013
Ph.D., Computer Science, State University of New York at Buffalo, 2017
Mobile computing, cyber-physical systems, human-centered computing
Zhisheng Yan received his Ph.D. degree in Computer Science and Engineering from the University at Buffalo, The State University of New York, in 2017. He was a visiting researcher at Stanford University in 2016.
His research interests broadly lie in the areas of mobile computing and wireless networking. His current focus is on the following topics: (1) Immersive Visual Communication and Networking: interdisciplinary exploration of networking, human-centered computing, and multimedia technology to revolutionize human visual experience (e.g., VR, AR, and MR systems); (2) Mobile and Pervasive Sensing: transformative architecture and system support for the Internet of Things (e.g., healthcare and critical event sensing); (3) Mobile Visual Computing and Learning: radically redesigned algorithms to optimize multimedia processing and interaction (e.g., head-mounted displays and smartphone displays) and to understand big multimedia/user data (e.g., machine learning on mobile user logs).
Z. Yan and C. W. Chen, Too many pixels to perceive: subpixel shutoff for display energy reduction on OLED smartphones, Proceedings of the 25th ACM International Conference on Multimedia (ACM MM ’17), 2017.
B. Liu (co-primary), Z. Yan (co-primary), and C. W. Chen, Medium access control for wireless body area networks with QoS provisioning and energy efficient design, IEEE Transactions on Mobile Computing, vol. 16, no. 2, 2017, pp. 422–434.
Z. Yan, J. Xue and C. W. Chen, Prius: hybrid edge cloud and client adaptation for HTTP adaptive streaming in cellular networks, IEEE Transactions on Circuits and Systems for Video Technology, vol. 27, no. 1, 2017, pp. 209–222.
C. Ma, Z. Yan and C. W. Chen, LARM: a lifetime aware regression model for predicting YouTube video popularity, Proceedings of the 26th ACM International Conference on Information and Knowledge Management (ACM CIKM ’17), 2017.
Z. Yan and C. W. Chen, RnB: rate and brightness adaptation for rate-distortion-energy tradeoff in HTTP adaptive streaming over mobile devices, Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking (ACM MobiCom ’16), 2016, pp. 308–319.
Z. Yan, Q. Liu, T. Zhang, and C. W. Chen, Exploring QoE for power efficiency: a field study on mobile videos with LCD displays, Proceedings of the 23rd ACM International Conference on Multimedia (ACM MM ’15), 2015, pp. 431–440.
Z. Yan, C. W. Chen, and B. Liu, Admission control for wireless adaptive HTTP streaming: an evidence theory based approach, Proceedings of the 22nd ACM International Conference on Multimedia (ACM MM ’14), 2014, pp. 893–896.