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Yunpeng Shi is an Assistant Professor at the University of California, Davis in the Department of Mathematics. He completed his Ph.D. in Mathematics at the University of Minnesota, under the supervision of Prof. Gilad Lerman. His research interests lie in 3D Computer Vision and Image Processing, specifically focusing on Cryo-electron Microscopy Imaging, Robust Estimation, Outlier Detection, and Scalable Computational Methods. He has contributed to various prominent conferences and journals including NeurIPS, ICML, CVPR, and has been involved in academic services such as serving as an Area Chair for NeurIPS and ICML. Dr. Shi is actively seeking Ph.D. students and encourages interested candidates to reach out with their CVs. He is known for his contributions in optimal transport and manifold learning, along with his work on global camera pose estimation and image alignment techniques, where he has published several influential papers.
University of California, Davis • Davis, CA
Teaching and conducting research in mathematics, focusing on computer vision and image processing.
Program in Applied and Computational Mathematics, Princeton University • Princeton, NJ
Conducted research under supervision of Prof. Amit Singer.
Department of Computer Science. GRE is NOT required.