Shang Wu

PhD Student @ NU

Northwestern University

Biography

I am a first-year Ph.D. student in the Computer Science department at Northwestern University, advised by Professor Han Liu in MAGICS lab. My primary research interest lies in the efficient and robust deep learning and generative AI. Besides the school and research work, I will speed time on skydive and league of legends. Currently, I am an USPA B license skydiver ✈️.

Interests

Model Compression
Robustness
Computational Vision
Generative Model

Education

PhD in Computer Science, 2023-Present
Northwestern University
Master in Electrical and Computer Engineering, 2022-2023
Rice University
BSc in Computer Science, 2018-2021
George Washington University

Experience

Research Assistant

July 2021 – May 2023 Houston

Efficient and Robust deep learning

Publications

Jyotikrishna Dass, Shang Wu, Huihong Shi, Chaojian Li, Zhifan Ye, Zhongfeng Wang, Yingyan Lin (2023). Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?. In HPCA 2023.

Yonggan Fu, Shunyao Zhang, Shang Wu, Cheng Wan, Yingyan Lin (2022). Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?. In ICLR 2022.