Alice Gao

According to our database, Alice Gao authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Don't Look at the Camera: Achieving Perceived Eye Contact.

Alice Gao, Samyukta Jayakumar, Marcello Maniglia, Brian Curless, Ira Kemelmacher-Shlizerman, Aaron R. Seitz, Steven M. Seitz

CoRR, 2024

Exploring Equity, Diversity, and Inclusion in Computer Science Undergraduate Curricula.

Ouldooz Baghban Karimi, Alice Gao, Peggy Lindner, Giulia Toti, Rutwa Engineer, Jinyoung Hur, Fiona McNeill, Shanon M. Reckinger, Rebecca Robinson, Anna Sollazzo, Richard Wicentowski

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2, 2024

2023

Risks and NLP Design: A Case Study on Procedural Document QA.

Nikita Haduong, Alice Gao, Noah A. Smith

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Towards Semantically Aware Word Cloud Shape Generation.

K. J. Kevin Feng, Alice Gao, Johanna Suvi Karras

Proceedings of the Adjunct Publication of the 35th Annual ACM Symposium on User Interface Software and Technology, 2022

COVID-VIT: Classification of Covid-19 from 3D CT chest images based on vision transformer model.

Xiaohong W. Gao, Maleika Heenaye-Mamode Khan, Rui Hui, Zhengmeng Tian, Yu Qian, Alice Gao, Sunilduth Baichoo

Proceedings of the 3rd International Conference on Next Generation Computing Applications, 2022

The Impact of COVID-19 on the CS Student Learning Experience: How the Pandemic has Shaped the Educational Landscape.

Angela A. Siegel, Mark Zarb, Emma Anderson, Brent Crane, Alice Gao, Celine Latulipe, Ellie Lovellette, Fiona McNeill, Debbie Meharg

Proceedings of the 2022 Working Group Reports on Innovation and Technology in Computer Science Education, 2022

COVID-19, Students and the New Educational Landscape.

Angela A. Siegel, Mark Zarb, Emma Anderson, Brent Crane, Alice Gao, Celine Latulipe, Ellie Lovellette, Fiona McNeill, Debbie Meharg

Proceedings of the ITiCSE 2022: Innovation and Technology in Computer Science Education, Dublin, Ireland, July 8, 2022

2021

COVID-VIT: Classification of COVID-19 from CT chest images based on vision transformer models.

Xiaohong Gao, Yu Qian, Alice Gao

CoRR, 2021

COVID-CBR: A Deep Learning Architecture Featuring Case-Based Reasoning for Classification of COVID-19 from Chest X-Ray Images.

Xiaohong W. Gao, Alice Gao

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021