Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond. - Krishna Kumar Singh; Hao Yu 014; Aron Sarmasi; Gautam Pradeep; Yong Jae Lee (CoRR, 2018)

Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System. - Nataniel Ruiz; Hao Yu 014; Danielle Allessio; Mona Jalal; Ajjen Joshi; Thomas J. Murray 001; John J. Magee; Jacob Whitehill; Vitaly Ablavsky; Ivon Arroyo; Beverly P. Woolf; Stan Sclaroff; et al. (FG, 2021)

Measuring and Integrating Facial Expressions and Head Pose as Indicators of Engagement and Affect in Tutoring Systems. - Hao Yu 014; Ankit Gupta 016; Will Lee 002; Ivon Arroyo; Margrit Betke; Danielle Allesio; Tom Murray 001; John J. Magee; Beverly P. Woolf (HCI (32), 2021)

Student Engagement Dataset. - Kevin Delgado; Juan Manuel Origgi; Tania Hasanpoor; Hao Yu 014; Danielle Allessio; Ivon Arroyo; William Lee 002; Margrit Betke; Beverly P. Woolf; Sarah Adel Bargal (ICCVW, 2021)

Measurements and Interventions to Improve Student Engagement Through Facial Expression Recognition. - Will Lee 002; Danielle Allessio; William Rebelsky; Sai Satish Gattupalli; Hao Yu 014; Ivon Arroyo; Margrit Betke; Sarah Adel Bargal; Tom Murray 001; Frank Sylvia; Beverly P. Woolf (HCI (31), 2022)

Face Readers: The Frontier of Computer Vision and Math Learning. - Beverly P. Woolf; Margrit Betke; Hao Yu 014; Sarah Adel Bargal; Ivon Arroyo; John J. Magee; Danielle Allessio; William Rebelsky (Human-AI Math Tutoring@AIED, 2023)

Bridging the Capacity Gap for Online Knowledge Distillation. - Maorong Wang; Hao Yu 014; Ling Xiao 001; Toshihiko Yamasaki (MIPR, 2023)

COVES: A Cognitive-Affective Deep Model that Personalizes Math Problem Difficulty in Real Time and Improves Student Engagement with an Online Tutor. - Hao Yu 014; Danielle A. Allessio; Will Lee 002; William Rebelsky; Frank Sylvia; Tom Murray 001; John J. Magee; Ivon Arroyo; Beverly P. Woolf; Sarah Adel Bargal; Margrit Betke (ACM Multimedia, 2023)

ATL-BP: A Student Engagement Dataset and Model for Affect Transfer Learning for Behavior Prediction. - Nataniel Ruiz; Hao Yu 014; Danielle Allessio; Mona Jalal; Ajjen Joshi; Tom Murray 001; John J. Magee; Kevin Delgado; Vitaly Ablavsky; Stan Sclaroff; Ivon Arroyo; Beverly P. Woolf; et al. (IEEE Trans. Biom. Behav. Identity Sci., 2023)

Affect Behavior Prediction: Using Transformers and Timing Information to Make Early Predictions of Student Exercise Outcome. - Hao Yu 014; Danielle A. Allessio; William Rebelsky; Tom Murray 001; John J. Magee; Ivon Arroyo; Beverly P. Woolf; Sarah Adel Bargal; Margrit Betke (AIED (2), 2024)

Demonstration of CameraMouseAI: A Head-Based Mouse-Control System for People with Severe Motor Disabilities. - Farid Karimli; Hao Yu 014; Srishti Jain; Emmanuel Sarpong Akosah; Margrit Betke; Wenxin Feng 001 (ASSETS, 2024)

GenEAva: Generating Cartoon Avatars with Fine-Grained Facial Expressions from Realistic Diffusion-based Faces. - Hao Yu 014; Rupayan Mallick; Margrit Betke; Sarah Adel Bargal (CoRR, 2025)