Haoyang Wu (吴浩洋)
Hi there! I’m Haoyang (William) Wu, a junior student majoring in Computer Science at the University of Michigan. I’m also pursuing a dual degree in Mechanical Engineering at Shanghai Jiao Tong University (SJTU), with an expected graduation in 2027.
My research interests lie primarily in multimodal learning. I am currently a research intern at Princeton University, advised by Prof. Zhuang Liu. I also work as a research intern in the ARM Lab directed by Prof. Dmitry Berenson. At SJTU, I was deeply engaged in surgical robotics research at the SIRIUS Lab, mentored by Prof. Yutong Ban. I have also had the pleasure of working with many exceptional researchers, including Dr. Gabe Sarch, Abhinav Kumar, Mark Vander Merwe, and Dr. Johnson Tsun-hsuan Wang. You can find my resume (updated 10/17/2025) here
I will be joining Princeton as visiting intern this summer! See you in Princeton
Publications
Holistic Surgical Phase Recognition with Hierarchical Input Dependent State Space Models
In submission to IEEE TMI, 2025
We propose a hierarchical input-dependent state space model that leverages the linear scalability of SSMs for decision-making over full-length videos. Our framework couples a temporally consistent visual encoder with an SSM head to propagate temporal information. The temporal module consists of two components: a local aggregation block for fine-grained dynamics and a global relation block for long-range dependencies.
Haoyang Wu, Tsun-Hsuan Wang, Mathias Lechner, Ramin Hasani, Jennifer A. Eckhoff, Paul Pak, Ozanan R. Meireles, Guy Rosman, Yutong Ban, Daniela Rus
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