Jui-Tse Hung

According to our database, Jui-Tse Hung authored at least 8 papers between 2023 and 2025.

Collaborative distances:

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

2025

Socratic Mind: Impact of a Novel GenAI-Powered Assessment Tool on Student Learning and Higher-Order Thinking.

Jeonghyun Lee, Jui-Tse Hung, Meryem Yilmaz Soylu, Diana M. Popescu, Christopher Zhang Cui, Gayane Grigoryan, David A. Joyner, Stephen Harmon

CoRR, September, 2025

AI Literacy as a Key Driver of User Experience in AI-Powered Assessment: Insights from Socratic Mind.

Meryem Yilmaz Soylu, Jeonghyun Lee, Jui-Tse Hung, Christopher Zhang Cui, David A. Joyner

CoRR, July, 2025

Human-AI Interaction for Augmented Reasoning: Improving Human Reflective and Critical Thinking with Artificial Intelligence.

Valdemar Danry, Pat Pataranutaporn, Christopher Cui, Jui-Tse Hung, Lancelot Blanchard, Zana Buçinca, Chenhao Tan, Thad Starner, Pattie Maes

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

2024

Socratic Mind: Scalable Oral Assessment Powered By AI.

Jui-Tse Hung, Christopher Cui, Diana M. Popescu, Saurabh Chatterjee, Thad Starner

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

Answer Watermarking: Using Answer Generation Assistance Tools to Find Evidence of Cheating.

Christopher Cui, Jui-Tse Hung, Pranav Sharma, Saurabh Chatterjee, Thad Starner

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

Examinator v4.0 : Cheating Detection in Online Take-Home Exams.

Christopher Cui, Jui-Tse Hung, Vaibhav Malhotra, Hardik Goel, Raghav Apoorv, Thad Starner

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

2023

Pareto-Secure Machine Learning (PSML): Fingerprinting and Securing Inference Serving Systems.

Debopam Sanyal, Jui-Tse Hung, Manav Agrawal, Prahlad Jasti, Shahab Nikkhoo, Somesh Jha, Tianhao Wang, Sibin Mohan, Alexey Tumanov

CoRR, 2023

Examinator v3.0: Cheating Detection in Online Take-Home Exams.

Jui-Tse Hung, Christopher Cui, Varun Agarwal, Saurabh Chatterjee, Raghav Apoorv, Rocko Graziano, Thad Starner

Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023