Yu Jun (於俊)
Associate Professor Jun Yu leads multimedia computing and intelligent robotics research and serves in the USTC/Huawei ICT Academy.
At a glance
Yu Jun (於俊)
Associate Professor Jun Yu leads multimedia computing and intelligent robotics research and serves in the USTC/Huawei ICT Academy.
Research leadership themes include multimedia computing and intelligent robotics.
Research contributions and academic biography
Yu Jun (於俊) | Research contributions and academic biography
Yu Jun's research links multimedia computing, artificial intelligence and intelligent robotics. Multimodal analysis asks how visual, textual and other forms of information can be combined into reliable computer interpretations. Applications include image understanding and robotic perception. His USTC profile describes leadership of a multimedia and intelligent robotics research center and involvement with the USTC/Huawei ICT Academy, connecting academic inquiry with technology education.
Multimedia computing and intelligent robotics
Yu Jun’s work connects computer vision, multimedia understanding and robotics. An intelligent robot must integrate information from images and sensors, then act under uncertainty; multimedia models similarly interpret information across multiple formats.
His faculty record describes leadership of research activity in multimedia computing and intelligent robotics and identifies a West Campus office in the Science and Technology Experiment Twin Towers.
Academic profile and research
Multimedia intelligence and intelligent robotics
Research focus
Associate Professor Jun Yu works on artificial intelligence with particular emphasis on multimedia computing and intelligent robots. His research links machine perception, multimodal analysis and systems capable of interacting with complex environments.
Academic background
The USTC faculty page identifies him as director of a multimedia computing and intelligent robotics research center and lists leadership responsibilities connected with the USTC/Huawei ICT Academy. His laboratory integrates computer vision, learning algorithms and robotic applications.
Research contributions
His faculty profile records publications across leading AI and multimedia venues and participation in research challenges. The university gives his West Campus office as Room 411 in the West Main Building of the Science and Technology Experiment Twin Towers and lists a university contact address.