Multimodal Affect Models: An Investigation of Relative Salience of Audio and Visual Cues for Emotion Prediction. - Jingyao Wu 002; Ting Dang; Vidhyasaharan Sethu; Eliathamby Ambikairajah (Frontiers Comput. Sci., 2021)

A Novel Sequential Monte Carlo Framework for Predicting Ambiguous Emotion States. - Jingyao Wu 002; Ting Dang; Vidhyasaharan Sethu; Eliathamby Ambikairajah (ICASSP, 2022)

Belief Mismatch Coefficient (BMC): A Novel Interpretable Measure of Prediction Accuracy for Ambiguous Emotion States. - Jingyao Wu 002; Ting Dang; Vidhyasaharan Sethu; Eliathamby Ambikairajah (ACII, 2023)

Constrained Dynamical Neural ODE for Time Series Modelling: A Case Study on Continuous Emotion Prediction. - Ting Dang; Antoni Dimitriadis; Jingyao Wu 002; Vidhyasaharan Sethu; Eliathamby Ambikairajah (ICASSP, 2023)

From Interval to Ordinal: A HMM based Approach for Emotion Label Conversion. - Jingyao Wu 002; Ting Dang; Vidhyasaharan Sethu; Eliathamby Ambikairajah (INTERSPEECH, 2023)

A Novel Markovian Framework for Integrating Absolute and Relative Ordinal Emotion Information. - Jingyao Wu 002; Ting Dang; Vidhyasaharan Sethu; Eliathamby Ambikairajah (IEEE Trans. Affect. Comput., 2023)

Emotion Recognition Systems Must Embrace Ambiguity. - Jingyao Wu 002; Ting Dang; Vidhyasaharan Sethu; Eliathamby Ambikairajah (ACII (Workshops and Demos), 2024)

Dual-Constrained Dynamical Neural ODEs for Ambiguity-aware Continuous Emotion Prediction. - Jingyao Wu 002; Ting Dang; Vidhyasaharan Sethu; Eliathamby Ambikairajah (INTERSPEECH, 2024)

Can Modelling Inter-Rater Ambiguity Lead To Noise-Robust Continuous Emotion Predictions? - Ya-Tse Wu; Jingyao Wu 002; Vidhyasaharan Sethu; Chi-Chun Lee (INTERSPEECH, 2024)

Speech Based Continuous Emotion Recognition: Modelling of Ambiguity and Temporal Dynamics. - Jingyao Wu 002 (2024)