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)

Counterfactual Fairness for Facial Expression Recognition. - Jiaee Cheong; Sinan Kalkan; Hatice Gunes (ECCV Workshops (5), 2022)

Towards Causal Replay for Knowledge Rehearsal in Continual Learning. - Nikhil Churamani; Jiaee Cheong; Sinan Kalkan; Hatice Gunes (AAAI Bridge Program, 2023)

"It's not Fair!" - Fairness for a Small Dataset of Multi-modal Dyadic Mental Well-being Coaching. - Jiaee Cheong; Micol Spitale; Hatice Gunes (ACII, 2023)

Towards Gender Fairness for Mental Health Prediction. - Jiaee Cheong; Selim Kuzucu; Sinan Kalkan; Hatice Gunes (IJCAI, 2023)

Causal Structure Learning of Bias for Fair Affect Recognition. - Jiaee Cheong; Sinan Kalkan; Hatice Gunes (WACV (Workshops), 2023)

Uncertainty-based Fairness Measures. - Selim Kuzucu; Jiaee Cheong; Hatice Gunes; Sinan Kalkan (CoRR, 2023)

Multimodal Gender Fairness in Depression Prediction: Insights on Data from the USA & China. - Joseph Cameron; Jiaee Cheong; Micol Spitale; Hatice Gunes (ACII (Workshops and Demos), 2024)

Causal-HRI: Causal Learning for Human-Robot Interaction. - Jiaee Cheong; Nikhil Churamani; Luke Guerdan; Tabitha Edith Lee; Zhao Han; Hatice Gunes (HRI (Companion), 2024)

FairReFuse: Referee-Guided Fusion for Multi-Modal Causal Fairness in Depression Detection. - Jiaee Cheong; Sinan Kalkan; Hatice Gunes (IJCAI, 2024)

U-Fair: Uncertainty-based Multimodal Multitask Learning for Fairer Depression Detection. - Jiaee Cheong; Aditya Bangar; Sinan Kalkan; Hatice Gunes (ML4H@NeurIPS, 2024)

Underneath the Numbers: Quantitative and Qualitative Gender Fairness in LLMs for Depression Prediction. - Micol Spitale; Jiaee Cheong; Hatice Gunes (CoRR, 2024)

Small but Fair! Fairness for Multimodal Human-Human and Robot-Human Mental Wellbeing Coaching. - Jiaee Cheong; Micol Spitale; Hatice Gunes (CoRR, 2024)

Uncertainty as a Fairness Measure. - Selim Kuzucu; Jiaee Cheong; Hatice Gunes; Sinan Kalkan (J. Artif. Intell. Res., 2024)

Machine Learning Fairness for Depression Detection Using EEG Data. - Angus Man Ho Kwok; Jiaee Cheong; Sinan Kalkan; Hatice Gunes (ISBI, 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, 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, 2025)

Gender Fairness of Machine Learning Algorithms for Pain Detection. - Dylan Green; Yuting Shang; Jiaee Cheong; Yang Liu; Hatice Gunes (CoRR, 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, 2025)