Recent Advances in Natural Language Processing and Computer Vision through A Lens from Statistical Learning

Oregon Convention Center 

Room: CC-G131 

In this session, we will delve into recent developments in natural language processing and computer vision from a statistical perspective, encompassing advancements in both theory and practical applications. Researchers from both academia and industry will present three compelling projects. Given the rapid evolution of technology, the session's focus on natural language processing and computer vision is both timely and essential. The proposed talks not only delve into cutting-edge theories but also showcase real-world applications, making the session appealing to a broad audience, including researchers, practitioners, and industry professionals.

Session Timeline:
1. Title: Actor-Critic Graph Neural Networks: A Comprehensive Recipe for Neural Decoding
Speaker: Wenzhuo Zhou (UIUC)
2. Title: Towards Trustworthy Machine Learning: A Focus on Explainability
Speaker: Hengrui Cai (UCI)
3. Title: Statistical Computer Vision for Medical Research
Speaker: Ruonan Li (Merck & Co.)

Each talk is allocated 20 minutes, followed by a 5-minute Q&A session. After the three talks, we will dedicate 15 minutes to peer discussion, fostering collaboration and knowledge exchange.

Yes

International Chinese Statistical Association

Committee on Women in Statistics

Section on Statistical Learning and Data Science