James Wang

Job Description

The mission of our group is to advance knowledge related to the analysis, management, and making sense of large and complex visual data, and to contribute to the society through dissemination of research findings, developing innovative solutions to real-world problems that impact society and improve people’s lives, and education of future leaders in this field.
Our research is driven by a strong commitment to multidisciplinary collaboration, excellence, and ethical responsibility, as we work towards a future in which machine intelligence enhances and augments human capabilities. The group has published two monographs and over 70 journal articles (Google Scholar profile). Notable technologies developed by the group include the SIMPLIcity image retrieval engine (at Stanford), the ALIPR real-time automatic image annotation system, the Acquine aesthetic quality inference engine, evoked emotion prediction system, bodily expressed emotion understanding system, and the brushstroke style analysis methods for oil paintings.
We actively engage Ph.D. and M.S. students in research. Our past Ph.D. students have achieved great success after graduation, taking on tenure-track faculty and research scientist positions and making significant contributions in fields such as AI, robotics, autonomous driving, computer vision, data science, cloud computing, and computational photography.