Yan Zhao

Orcid: 0000-0003-4577-7078

According to our database¹, Yan Zhao authored at least 29 papers between 2008 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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Bibliography

2025

Towards Domain-Specific Cross-Corpus Speech Emotion Recognition Approach.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., October, 2025

AMGCN: An adaptive multi-graph convolutional network for speech emotion recognition.

[BibT_eX]

[DOI]

Speech Commun., 2025

Low-rank joint distribution adaptation for cross-corpus speech emotion recognition.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2025

2024

Layer-Adapted Implicit Distribution Alignment Networks for Cross-Corpus Speech Emotion Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., August, 2024

CFEW: A Large-Scale Database for Understanding Child Facial Expression in Real World.

[BibT_eX]

[DOI]

IEEE Trans. Affect. Comput., 2024

Exploring corpus-invariant emotional acoustic feature for cross-corpus speech emotion recognition.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

Temporal Label Hierachical Network for Compound Emotion Recognition.

[BibT_eX]

[DOI]

CoRR, 2024

Confidence-aware Hypothesis Transfer Networks for Source-Free Cross-Corpus Speech Emotion Recognition.

[BibT_eX]

[DOI]

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Boosting Cross-Corpus Speech Emotion Recognition using CycleGAN with Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Towards Realistic Emotional Voice Conversion using Controllable Emotional Intensity.

[BibT_eX]

[DOI]

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Hierarchical Distribution Adaptation for Unsupervised Cross-corpus Speech Emotion Recognition.

[BibT_eX]

[DOI]

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Emotion-Aware Contrastive Adaptation Network for Source-Free Cross-Corpus Speech Emotion Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Speech Swin-Transformer: Exploring a Hierarchical Transformer with Shifted Windows for Speech Emotion Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Improving Speaker-Independent Speech Emotion Recognition using Dynamic Joint Distribution Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Speech Emotion Recognition via an Attentive Time-Frequency Neural Network.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., December, 2023

A Survey of Deep Learning-Based Multimodal Emotion Recognition: Speech, Text, and Face.

[BibT_eX]

[DOI]

Entropy, October, 2023

Group Sparse Reduced Rank Tensor Regression for Micro-Expression Recognition.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., April, 2023

Label Distribution Adaptation for Multimodal Emotion Recognition with Multi-label Learning.

[BibT_eX]

[DOI]

Proceedings of the 1st International Workshop on Multimodal and Responsible Affective Computing, 2023

Multimodal Emotion Recognition in Noisy Environment Based on Progressive Label Revision.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Learning Local to Global Feature Aggregation for Speech Emotion Recognition.

[BibT_eX]

[DOI]

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Time-Frequency Transformer: A Novel Time Frequency Joint Learning Method for Speech Emotion Recognition.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Audio-Visual Group-based Emotion Recognition using Local and Global Feature Aggregation based Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Multimodal Interaction, 2023

Deep Implicit Distribution Alignment Networks for cross-Corpus Speech Emotion Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Deep Transductive Transfer Regression Network for Cross-Corpus Speech Emotion Recognition.

[BibT_eX]

[DOI]

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Detecting Depression from Speech through an Attentive LSTM Network.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2021

Multi-Head Attention-Based Long Short-Term Memory for Depression Detection From Speech.

[BibT_eX]

[DOI]

Frontiers Neurorobotics, 2021

2009

Speech emotion recognition based on re-composition of two-class classifiers.

[BibT_eX]

[DOI]

Proceedings of the Affective Computing and Intelligent Interaction, 2009

2008

A local time Fukunage-Koontz transformation for speech emotional recognition.

[BibT_eX]

[DOI]

Yan Zhao

Haixian Wang

Li Zhao

Proceedings of the 2008 International Conference on Advanced Infocomm Technology, 2008

Modified quadratic discrimination function for non-normal distribution and its application in speech emotion recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2008

Yan Zhao

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