Feiran Wang

Hi, I'm Feiran, a PhD student in computer vision at Illinois Tech since 2024, under the supervision of Professor Yan Yan. I earned my Master's degree in Engineering from the University of Illinois Urbana-Champaign, where I received research training under Professor David Forsyth. Before that, I completed my Bachelor's degree at Shanghai University, guided by Professor Xiaoqiang Li. In Fall 2021, I studied at the University of Toronto as a visiting student.

My research interests focus on integrating the physical world into the digital domain, with a particular emphasis on 3D reconstruction, image generation. Additionally, I am interested in advancing research in medical imaging.

Email  /  CV  /  Github  /  Google Scholar

Publication

Rooted in the X-ray imaging process, X-Field presents a novel representation for high-quality X-ray Novel View Synthesis and CT Reconstruction.

To address the challenge of medical data scarcity, ZECO synthesizes high-quality 3D MRI images across various modalities, conditioned on segmentation masks.

Point Clouds captured by Lidar are often colorless, PCCN-RE enables high-quality colorization with a relevance embedding module on Conditional GAN.

Sentific Project

Understanding mophology and distribution of neurons remains a significant challenge in modern neuroscience. We aim to develop a unified framework for sparse-to-dense neural generation and unsupervised segmentation, providing deeper insights into neural activity and connectivity.

Awards

Cyrus Tang Scholarship (Jan 2024 - Dec 2025) Awarded in recognition of academic excellence and contributions to healthcare community development.

Design from Jon Barron's web