About Me
Hi, I'm Xi Fang. I completed my PhD in the Department of Biomedical Engineering at Rensselaer Polytechnic Institute, where I was advised by Pingkun Yan, and received my bachelor's degree from the School of Computer Science at Wuhan University, where I worked with Bo Du.
I am currently a machine learning engineer at Noah Medical. My background also includes internships at Infervision, the State Key Laboratory of Intelligent Technology and Systems at Tsinghua University, and the Immersive Media Lab of Tencent America.
Technical & Research Focus
I build computer vision and multimodal ML systems for robotics, medical imaging, and deployable real-world applications, with a focus on turning strong research into deployable systems, supported by publications, technical reports, and projects.
- Computer Vision: multi-view geometry, 3D reconstruction, NeRF, Gaussian splatting, implicit neural representations, and perception tasks such as segmentation, detection, and registration.
- Robotics Learning: multimodal learning, VLMs, VLAs, world models, and deployable systems for robotics and embodied intelligence.
- Medical Image Analysis: clinically grounded methods for medical imaging, surgical planning, image analysis, in-context learning, and reliable decision support systems.
Recent News
Aug 2026. Volunteered to present the evolution of AI and robotics at the Computer History Museum. More details.
Jun 2024. Received the Runner-Up prize for the NVIDIA Bench-to-Bedside Award at IPCAI 2024.
Sep 2022. Received the MICCAI 2022 Young Scientist Award.
Jun 2022. Received the MICCAI 2022 Student Travel Award.