Jiaee Cheong

According to our database, Jiaee Cheong authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

2024

Causal-HRI: Causal Learning for Human-Robot Interaction.

Jiaee Cheong, Nikhil Churamani, Luke Guerdan, Tabitha Edith Lee, Zhao Han, Hatice Gunes

Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023

Uncertainty-based Fairness Measures.

Selim Kuzucu, Jiaee Cheong, Hatice Gunes, Sinan Kalkan

CoRR, 2023

Causal Structure Learning of Bias for Fair Affect Recognition.

Jiaee Cheong, Sinan Kalkan, Hatice Gunes

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

Towards Gender Fairness for Mental Health Prediction.

Jiaee Cheong, Selim Kuzucu, Sinan Kalkan, Hatice Gunes

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

"It's not Fair!" - Fairness for a Small Dataset of Multi-modal Dyadic Mental Well-being Coaching.

Jiaee Cheong, Micol Spitale, Hatice Gunes

Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, 2023

Towards Causal Replay for Knowledge Rehearsal in Continual Learning.

Nikhil Churamani, Jiaee Cheong, Sinan Kalkan, Hatice Gunes

Proceedings of the AAAI Bridge Program on Continual Causality, 2023

2022

Counterfactual Fairness for Facial Expression Recognition.

Jiaee Cheong, Sinan Kalkan, Hatice Gunes

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

The Hitchhiker's Guide to Bias and Fairness in Facial Affective Signal Processing: Overview and techniques.

Jiaee Cheong, Sinan Kalkan, Hatice Gunes

IEEE Signal Process. Mag., 2021