Mi-Xiao Hou

Orcid: 0000-0002-6470-0351

According to our database¹, Mi-Xiao Hou authored at least 21 papers between 2016 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2023

Semantic Alignment Network for Multi-Modal Emotion Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., September, 2023

Multimodal Emotion Interaction and Visualization Platform.

[BibT_eX]

[DOI]

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

2022

Multi-View Speech Emotion Recognition Via Collective Relation Construction.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Recursive Feature Diversity Network for audio super-resolution.

[BibT_eX]

[DOI]

Speech Commun., 2022

Improved Deep Unsupervised Hashing with Fine-grained Semantic Similarity Mining for Multi-Label Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Multi-Modal Emotion Recognition with Self-Guided Modality Calibration.

[BibT_eX]

[DOI]

Mixiao Hou

Zheng Zhang

Guangming Lu

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Multimodal Emotion Recognition With Temporal and Semantic Consistency.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Hierarchical Network Based on the Fusion of Static and Dynamic Features for Speech Emotion Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

A supervised non-negative matrix factorization model for speech emotion recognition.

[BibT_eX]

[DOI]

Mi-Xiao Hou

Jinxing Li

Guangming Lu

Speech Commun., 2020

2019

Hypergraph Regularized Discriminative Nonnegative Matrix Factorization on Sample Classification and Co-Differentially Expressed Gene Selection.

[BibT_eX]

[DOI]

Complex., 2019

Network analysis based on low-rank method for mining information on integrated data of multi-cancers.

[BibT_eX]

[DOI]

Comput. Biol. Chem., 2019

PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression data.

[BibT_eX]

[DOI]

BMC Bioinform., 2019

An Integrated Graph Regularized Non-Negative Matrix Factorization Model for Gene Co-Expression Network Analysis.

[BibT_eX]

[DOI]

IEEE Access, 2019

An Integrated Robust Graph Regularized Non-negative Matrix Factorization for Multi-dimensional Genomic Data Analysis.

[BibT_eX]

[DOI]

Proceedings of the Recent Advances in Data Science, 2019

2018

Identifying Characteristic Genes and Clustering via an Lp-Norm Robust Feature Selection Method for Integrated Data.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2018

Performance Analysis of Non-negative Matrix Factorization Methods on TCGA Data.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2018

Sparse Orthogonal Nonnegative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Tumor Samples.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Robust Nonnegative Matrix Factorization via Joint Graph Laplacian and Discriminative Information for Identifying Differentially Expressed Genes.

[BibT_eX]

[DOI]

Complex., 2017

2016

Comparison of Non-negative Matrix Factorization Methods for Clustering Genomic Data.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2016

A p-norm singular value decomposition method for robust tumor clustering.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Robust graph regularized discriminative nonnegative matrix factorization for characteristic gene selection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Mi-Xiao Hou

Timeline

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