Jian Huang

Orcid: 0000-0002-4638-2636

Affiliations:
  • Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China


According to our database1, Jian Huang authored at least 22 papers between 2017 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Multimodal Spatiotemporal Representation for Automatic Depression Level Detection.
IEEE Trans. Affect. Comput., 2023

2021
Learning long-term temporal contexts using skip RNN for continuous emotion recognition.
Virtual Real. Intell. Hardw., 2021

Correction to: Semi-supervised Ladder Networks for Speech Emotion Recognition.
Int. J. Autom. Comput., 2021

2020
Expression Analysis Based on Face Regions in Real-world Conditions.
Int. J. Autom. Comput., 2020

Conversational Emotion Recognition Using Self-Attention Mechanisms and Graph Neural Networks.
Proceedings of the Interspeech 2020, 2020

Context-Dependent Domain Adversarial Neural Network for Multimodal Emotion Recognition.
Proceedings of the Interspeech 2020, 2020

Learning Utterance-Level Representations with Label Smoothing for Speech Emotion Recognition.
Proceedings of the Interspeech 2020, 2020

Multimodal Transformer Fusion for Continuous Emotion Recognition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Semi-supervised Ladder Networks for Speech Emotion Recognition.
Int. J. Autom. Comput., 2019

Expression Analysis Based on Face Regions in Read-world Conditions.
CoRR, 2019

Domain adversarial learning for emotion recognition.
CoRR, 2019

Speech Emotion Recognition via Contrastive Loss under Siamese Networks.
CoRR, 2019

Unsupervised Representation Learning with Future Observation Prediction for Speech Emotion Recognition.
Proceedings of the Interspeech 2019, 2019

Conversational Emotion Analysis via Attention Mechanisms.
Proceedings of the Interspeech 2019, 2019

Discriminative Video Representation with Temporal Order for Micro-expression Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2019

Efficient Modeling of Long Temporal Contexts for Continuous Emotion Recognition.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019

2018
Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition.
CoRR, 2018

Deep Learning for Continuous Multiple Time Series Annotations.
Proceedings of the 2018 on Audio/Visual Emotion Challenge and Workshop, 2018

Multimodal Continuous Emotion Recognition with Data Augmentation Using Recurrent Neural Networks.
Proceedings of the 2018 on Audio/Visual Emotion Challenge and Workshop, 2018

Speech Emotion Recognition from Variable-Length Inputs with Triplet Loss Function.
Proceedings of the Interspeech 2018, 2018

End-to-End Continuous Emotion Recognition from Video Using 3D Convlstm Networks.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Continuous Multimodal Emotion Prediction Based on Long Short Term Memory Recurrent Neural Network.
Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge, Mountain View, CA, USA, October 23, 2017


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