Alice Gao

According to our database, Alice Gao authored at least 18 papers between 2021 and 2026.

Collaborative distances:

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

2026

Training Computer Use Agents to Assess the Usability of Graphical User Interfaces.

Alice Gao, Weixi Tong, Rishab Vempati, Katharina Reinecke, R. Benjamin Shapiro, Tianyi Zhang, Jason Wu

CoRR, April, 2026

Systematic Review of Academic Procrastination Interventions in Computing Higher Education.

Daniel Cheng, Oscar Heath, Daniyaal Farooqi, Evelyn Chou, Alice Gao, Jonathan Calver

CoRR, April, 2026

Interrogating Design Homogenization in Web Vibe Coding.

Donghoon Shin, Alice Gao, Rock Yuren Pang, Jaewook Lee, Katharina Reinecke, Emily Tseng

CoRR, March, 2026

Bridging Prerequisite Gaps: When, How, and How Much?

Lisa Zhang, Alice Gao, Jessica Wen, Alisha Hasan

Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.1, 2026

Framing an AI with Values Reduces AI Reliance in AI-supported Writing Tasks.

Alice Gao, Andrew N. Meltzoff, Maarten Sap, Katharina Reinecke

Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 2026

Regulating AI: Where U.S. State Policy and HCI (Mis)align.

Nino Migineishvili, Alice Gao, Adinawa Adjagbodjou, Dhanaraj Thakur, René Just, Katharina Reinecke

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

Reducing Procrastination on Programming Assignments via Optional Early Feedback.

Alice Gao, Victoria Sakhnini

CoRR, October, 2025

Student Perspectives on the Challenges in Machine Learning.

Naaz Sibia, Amber Richardson, Alice Gao, Andrew Petersen, Lisa Zhang

Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 1, 2025

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

Diversity, Equity, and Inclusion in Computing Science: Culture is the Key, Curriculum Contributes.

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

Proceedings of the 2024 Working Group Reports on Innovation and Technology in Computer Science Education, 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