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Jingyao Wu
Jingyao Wu
PhD Candidate, UNSW Sydney; Postdoc Associate, MIT Media Lab (Spring 2025)
Verified email at unsw.edu.au - Homepage
Title
Cited by
Cited by
Year
A novel markovian framework for integrating absolute and relative ordinal emotion information
J Wu, T Dang, V Sethu, E Ambikairajah
IEEE Transactions on Affective Computing 14 (3), 2089-2101, 2022
72022
A novel sequential monte carlo framework for predicting ambiguous emotion states
J Wu, T Dang, V Sethu, E Ambikairajah
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
62022
Multimodal affect models: An investigation of relative salience of audio and visual cues for emotion prediction
J Wu, T Dang, V Sethu, E Ambikairajah
Frontiers in Computer Science 3, 767767, 2021
62021
Constrained dynamical neural ode for time series modelling: A case study on continuous emotion prediction
T Dang, A Dimitriadis, J Wu, V Sethu, E Ambikairajah
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
32023
Belief Mismatch Coefficient (BMC): A Novel Interpretable Measure of Prediction Accuracy for Ambiguous Emotion States
J Wu, T Dang, V Sethu, E Ambikairajah
ACII 2023 International Conference on Affective Computing and Intelligent …, 2023
22023
Dual-Constrained Dynamical Neural ODEs for Ambiguity-aware Continuous Emotion Prediction
J Wu, T Dang, V Sethu, E Ambikairajah
arXiv preprint arXiv:2407.21344, 2024
12024
Emotion Recognition Systems Must Embrace Ambiguity
J Wu, T Dang, V Sethu, E Ambikairajah
Affective Computing + Intelligent Interaction (ACII) EASE Workshop 2024, 2024
2024
Can Modelling Inter-Rater Ambiguity Lead To Noise-Robust Continuous Emotion Predictions?
YT Wu, J Wu, V Sethu, CC Lee
Interspeech, Kos, Greece, 2024
2024
From Interval to Ordinal: A HMM based Approach for Emotion Label Conversion
J Wu, T Dang, V Sethu, E Ambikairajah
Interspeech, Dublin, Ireland, 1843--1847, 2023
2023
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