معرفی
Wang Fengjiao is an Assistant Professor and Lecturer at the Kahlert School of Computing, University of Utah. Her research focuses on machine learning, data mining, and social network analysis, with notable contributions to semi-supervised learning, generative models, and social media analysis. She holds a position in one of the founding institutions of the internet (ARPANET), leveraging computational advancements for interdisciplinary challenges.
Her work spans theoretical innovations and applied systems, including algorithms for tabular data, image generation via Fréchet distance minimization, and probabilistic text recommendation models. Recent trends in her publications emphasize scalable learning frameworks, spatial-temporal event modeling, and privacy-preserving techniques in multi-platform social networks.
Wang's research has addressed challenges such as user geolocation inference, collaborative co-clustering in heterogeneous data, and steering information diffusion under attention constraints. Her contributions to content-aware POI recommendations and distance-based social discovery further highlight her expertise in integrating machine learning with real-world social systems.
No scientific awards or grants are explicitly mentioned in the provided materials. Contact information is available at fengjiao@cs.utah.edu, and her office is located in MEB 3102.
