Hao Yu
Orcid: 0000-0002-4334-604XAffiliations:
- Boston University, MA, USA
According to our database1,
Hao Yu
authored at least 11 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Demonstration of CameraMouseAI: A Head-Based Mouse-Control System for People with Severe Motor Disabilities.
Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility, 2024
Affect Behavior Prediction: Using Transformers and Timing Information to Make Early Predictions of Student Exercise Outcome.
Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024
2023
ATL-BP: A Student Engagement Dataset and Model for Affect Transfer Learning for Behavior Prediction.
IEEE Trans. Biom. Behav. Identity Sci., July, 2023
COVES: A Cognitive-Affective Deep Model that Personalizes Math Problem Difficulty in Real Time and Improves Student Engagement with an Online Tutor.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the 6th IEEE International Conference on Multimedia Information Processing and Retrieval, 2023
Proceedings of the Workshop "Towards the Future of AI-augmented Human Tutoring in Math Learning" co-located with The 24th International Conference on Artificial Intelligence in Education (AIED 2023), 2023
2022
Measurements and Interventions to Improve Student Engagement Through Facial Expression Recognition.
Proceedings of the Adaptive Instructional Systems, 2022
2021
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Measuring and Integrating Facial Expressions and Head Pose as Indicators of Engagement and Affect in Tutoring Systems.
Proceedings of the Adaptive Instructional Systems. Adaptation Strategies and Methods, 2021
Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021
2018
Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond.
CoRR, 2018