Jiaee Cheong

According to our database, Jiaee Cheong authored at least 19 papers between 2021 and 2025.

Collaborative distances:

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

2025

Automatic Depression Assessment using Machine Learning: A Comprehensive Survey.

Siyang Song, Yupeng Huo, Shiqing Tang, Jiaee Cheong, Rui Gao, Michel F. Valstar, Hatice Gunes

CoRR, June, 2025

Gender Fairness of Machine Learning Algorithms for Pain Detection.

Dylan Green, Yuting Shang, Jiaee Cheong, Yang Liu, Hatice Gunes

CoRR, June, 2025

FG 2025 TrustFAA: the First Workshop on Towards Trustworthy Facial Affect Analysis: Advancing Insights of Fairness, Explainability, and Safety (TrustFAA).

Jiaee Cheong, Yang Liu, Harold Soh, Hatice Gunes

CoRR, June, 2025

Exploring Causality for HRI: A Case Study on Robotic Mental Well-being Coaching.

Micol Spitale, Srikar Babu, Serhan Cakmak, Jiaee Cheong, Hatice Gunes

CoRR, March, 2025

Machine Learning Fairness for Depression Detection Using EEG Data.

Angus Man Ho Kwok, Jiaee Cheong, Sinan Kalkan, Hatice Gunes

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

Uncertainty as a Fairness Measure.

Selim Kuzucu, Jiaee Cheong, Hatice Gunes, Sinan Kalkan

J. Artif. Intell. Res., 2024

Small but Fair! Fairness for Multimodal Human-Human and Robot-Human Mental Wellbeing Coaching.

Jiaee Cheong, Micol Spitale, Hatice Gunes

CoRR, 2024

Underneath the Numbers: Quantitative and Qualitative Gender Fairness in LLMs for Depression Prediction.

Micol Spitale, Jiaee Cheong, Hatice Gunes

CoRR, 2024

U-Fair: Uncertainty-based Multimodal Multitask Learning for Fairer Depression Detection.

Jiaee Cheong, Aditya Bangar, Sinan Kalkan, Hatice Gunes

Proceedings of the Machine Learning for Health, 2024

FairReFuse: Referee-Guided Fusion for Multi-Modal Causal Fairness in Depression Detection.

Jiaee Cheong, Sinan Kalkan, Hatice Gunes

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

Multimodal Gender Fairness in Depression Prediction: Insights on Data from the USA & China.

Joseph Cameron, Jiaee Cheong, Micol Spitale, Hatice Gunes

Proceedings of the 12th International Conference on Affective Computing and Intelligent 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