Xuan Shen

I am a ZJU100 Young Professor in the College of Computer Science and Technology at Zhejiang University. Previously, I obtained my Ph.D. in Electrical and Computer Engineering from Northeastern University at Boston in August 2025, advised by Prof. Yanzhi Wang. Earlier, I received my M.S. degree at Northeastern University in 2020 and my B.S. degree at Nanjing University of Science and Technology in 2018.

My research interests center on efficient deep learning, with a particular focus on optimizing large foundation models and diffusion models for text and visual generation. I emphasize scalability, latency reduction, and deployment efficiency across a wide range of hardware platforms, including GPUs, mobile devices, FPGAs, and ASICs.

I am always looking for highly self-motivated and curious undergraduate interns as well as graduate students to join our research group. If you are passionate about efficient and scalable AI systems, and interested in working on cutting-edge topics such as foundation models, diffusion models, or AI/robotics infra, please feel free to reach out with your CV.

Now, we still positions for Ph.D. and M.S. students in Fall 2027, as well as visiting students for Summer 2026, to work on research projects in world models and embodied AI.