Jiaee Cheong

Orcid: 0000-0001-5964-2284

According to our database1, Jiaee Cheong authored at least 13 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Uncertainty as a Fairness Measure.
J. Artif. Intell. Res., 2024

Multimodal Gender Fairness in Depression Prediction: Insights on Data from the USA & China.
CoRR, 2024

Small but Fair! Fairness for Multimodal Human-Human and Robot-Human Mental Wellbeing Coaching.
CoRR, 2024

Underneath the Numbers: Quantitative and Qualitative Gender Fairness in LLMs for Depression Prediction.
CoRR, 2024

FairReFuse: Referee-Guided Fusion for Multi-Modal Causal Fairness in Depression Detection.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Causal-HRI: Causal Learning for Human-Robot Interaction.
Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023
Uncertainty-based Fairness Measures.
CoRR, 2023

Causal Structure Learning of Bias for Fair Affect Recognition.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

Towards Gender Fairness for Mental Health Prediction.
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.
Proceedings of the 11th International Conference on Affective Computing and Intelligent Interaction, 2023

Towards Causal Replay for Knowledge Rehearsal in Continual Learning.
Proceedings of the AAAI Bridge Program on Continual Causality, 2023

2022
Counterfactual Fairness for Facial Expression Recognition.
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.
IEEE Signal Process. Mag., 2021


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