Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
Published multiple papers, including but not limited to: 'Progressive Learning with Human Feedback for Personalized Adaptive Video Streaming', 'Generative Flow Networks for Personalized Multimedia Systems: A Case Study on Short Video Feeds', 'EcoLens: Leveraging Multi-Objective Bayesian Optimization for Energy-Efficient Video Processing on Edge Devices', etc.
Research Experience
Currently a Research Scientist at ByteDance Multimedia Lab (San Diego); Previously, Postdoc at UIUC (supervised by Prof. Klara), The University of Hong Kong (supervised by Prof. Chuan Wu), and The Hong Kong University of Science and Technology (supervised by Prof. Bo Li). Collaborates closely with Prof. Jiangchuan Liu at SFU.
Education
Ph.D. from the Department of Computer Science and Technology, Tsinghua University, Beijing, China, 2022, advised by Prof. Lifeng Sun; B.E. from the Department of Electronic Engineering, Tsinghua University, 2017.
Background
Research Interests: Optimization of multimedia systems, particularly in the context of video transmission over real-world networks. Focuses on improving the efficiency and robustness of video streaming under challenging conditions such as packet loss, limited bandwidth, and network variability.
Miscellany
Email: ruixiao [DOT] cs [DOT] zhang [@] gmail [DOT] com