Shilin Zhu

Shilin Zhu is an Assistant Professor in the Department of Computer Science and Engineering at the University of California, San Diego's Jacobs School of Engineering. Having completed their PhD at UCSD in 2021 with a dissertation titled 'Computing Images with Diverse Illumination Effects,' Zhu has established a prolific research career spanning computer graphics, computer vision, and machine learning.

Zhu's research interests center around advanced rendering techniques, autonomous driving perception systems, privacy-preserving technologies, and wireless localization. Their work bridges theoretical computer science with practical applications, particularly in developing robust systems for challenging environments like foggy weather for autonomous vehicles and creating privacy-preserving solutions using smart LED technology. Zhu has made significant contributions to neural rendering, particularly in photon mapping and denoising techniques that improve the efficiency and quality of computer-generated imagery.

Analysis of Zhu's publication record shows a clear progression from foundational work in rendering and computer vision during their PhD studies to increasingly applied research in autonomous systems and privacy technologies. Their most recent work demonstrates a growing interest in interdisciplinary applications, including agricultural technology and bioinformatics, while maintaining technical depth in core computer science areas. The research consistently features innovative applications of deep learning to traditional computer graphics and vision problems.

Zhu has collaborated extensively with leading researchers in the field, including Zexiang Xu, Hao Su, Ravi Ramamoorthi, and Henrik Wann Jensen, reflecting strong integration within the computer graphics and vision research communities. Their work has appeared in top-tier venues including SIGGRAPH, CVPR, and ACM Transactions on Graphics.