Li Guo (郭丽)

Li Guo is an Associate Professor of Practice in Computer Science at NYU Shanghai. She joined NYU Shanghai in 2019, after working at the Damo Academy of Alibaba, where she specialized in computer vision. Her current research interests include computer vision and the mathematical foundations for deep learning.

Select Publications 

• Andriopoulos, G., Dong, Z., Guo, L., Zhao, Z. and Ross, K., 2024. The prevalence of neural collapse in neural multivariate regression. NeurIPS 2024. 
• Guo, L., Ross, K., Zhao, Z., George, A., Ling, S., Xu, Y., Dong, Z. (2024). Cross Entropy versus Label Smoothing: A Neural Collapse Perspective. arXiv preprint arXiv:2402.03979.
• Guo, L., Xia, Y., Wang, S. Enhanced Label Propagation through Affinity Matrix Fusion for Source-Free Domain Adaptation, InConference on Lifelong Learning Agents 2024, PMLR.
• Liu, H., Guo, L., Zhou, Z., Zhang, H. (2022). Pyramid-Context Guided Feature Fusion for RGB-D Semantic Segmentation. 2022 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), pp. 1-6.

Courses Taught

• SHU CSCI 360: Machine Learning
• SHU DATS 420: Data Science Senior Projects
• SHU DATS 377: Computer Vision