Jingying Wang
Hi, I am Jingying Wang, a third-year Ph.D. candidate from the Computer Science and Engineering department of the University of Michigan. I am luckily co-advised by Prof. Xu Wang from the UM CSE, and Vitaliy Popov from UM Medicine.
My research lies at the intersection of Human-Computer Interaction (HCI) and medical education, with a focus on enhancing the visual understanding in medical training. Due to limited access to OR environments and expert instructors, many trainees rely on learning tools such as surgical videos and 3D simulations. While promising, these tools often fall short in providing personalized, interactive visual feedback necessary for mastering complex tasks. My work addresses these gaps by designing human-AI systems for interactive learning experiences.
[Google Scholar][CV]
News
Mar/2025
Honored to be selected to receive the Barbour Scholarship! [Article]
Sep/2024
Excited to kick off our new project, supported by the NSF award SCH: Multimodal Techniques to Enhance Intra- and Post-operative Learning and Coordination between Attending and Resident Surgeons, advised by Xu Wang, Vitaliy Popov, and Anhong Guo!
Apr/2024
Our paper “Looking Together ≠ Seeing the Same Thing: Understanding Surgeons' Visual Needs During Intra-operative Coordination and Instruction” got an honorable mention award in CHI2024
Publication
Looking Together ≠ Seeing the Same Thing: Understanding Surgeons' Visual Needs During Intra-operative Coordination and Instruction. (CHI '24)
Xinyue Chen*, Vitaliy Popov*, Jingying Wang, Michael Kemp, Gurjit Sandhu, Taylor Kantor, Natalie Mateju, and Xu Wang
[Paper]
Real-time Facial Animation for 3D Stylized Character with Emotion Dynamics. (MM '23)
Ye Pan, Ruisi Zhang, Jingying Wang, Yu Ding, and Kenny Mitchell
[Paper]
