Zeng Yu

Affiliations:

Southwest Jiaotong University, Chengdu, China

According to our database¹, Zeng Yu authored at least 30 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

Article

PhD thesis

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Bibliography

2024

Gaussian mixture model with local consistency: a hierarchical minimum message length-based approach.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., February, 2024

2023

Pyramidal temporal frame prediction for efficient anomalous event detection in smart surveillance systems.

[BibT_eX]

[DOI]

Muhammad Hafeez Javed

Knowl. Based Syst., December, 2023

Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., October, 2023

learning anomalous human actions using frames of interest and decoderless deep embedded clustering.

[BibT_eX]

[DOI]

Muhammad Hafeez Javed

Int. J. Mach. Learn. Cybern., October, 2023

Feature Selection With Local Density-Based Fuzzy Rough Set Model for Noisy Data.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., May, 2023

A Parted-based Method for Unsupervised Visible-Infrared Re-identification.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

Gaussian Function Representation of 2nd-Order Normal Cloud Model.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

Content-Based Video Clustering Using Hybrid Multi -View Spatio- Temporal Feature Learning.

[BibT_eX]

[DOI]

Muhammad Hafeez Javed

Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

2022

Hybrid two-stream dynamic CNN for view adaptive human action recognition using ensemble learning.

[BibT_eX]

[DOI]

Muhammad Hafeez Javed

Int. J. Mach. Learn. Cybern., 2022

2021

Tri-regularized nonnegative matrix tri-factorization for co-clustering.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Unsupervised attribute reduction for mixed data based on fuzzy rough sets.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Multi-source information fusion based on rough set theory: A review.

[BibT_eX]

[DOI]

Inf. Fusion, 2021

2019

Reconstruction of Hidden Representation for Robust Feature Extraction.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2019

DCEF: Deep Collaborative Encoder Framework for Unsupervised Clustering.

[BibT_eX]

[DOI]

CoRR, 2019

Three-Stream Convolutional Networks for Video-based Person Re-Identification.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Evaluating Segmentation Quality via Reference Segmentations in Tree-like Structure.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Hierarchical Region Merging for Multi-scale Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

2018

Convolutional networks with cross-layer neurons for image recognition.

[BibT_eX]

[DOI]

Inf. Sci., 2018

A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Survey on encoding schemes for genomic data representation and feature learning - from signal processing to machine learning.

[BibT_eX]

[DOI]

Ning Yu

Zhihua Li

Zeng Yu

Big Data Min. Anal., 2018

2017

Deep Learning in Genomic and Medical Image Data Analysis: Challenges and Approaches.

[BibT_eX]

[DOI]

J. Inf. Process. Syst., 2017

An incremental attribute reduction approach based on knowledge granularity with a multi-granulation view.

[BibT_eX]

[DOI]

Inf. Sci., 2017

Three-Stream Convolutional Networks for Video-based Person Re-Identification.

[BibT_eX]

[DOI]

CoRR, 2017

A deep learning method for lincRNA detection using auto-encoder algorithm.

[BibT_eX]

[DOI]

Ning Yu

Zeng Yu

Yi Pan

BMC Bioinform., 2017

Evaluating the Impact of Encoding Schemes on Deep Auto-Encoders for DNA Annotation.

[BibT_eX]

[DOI]

Proceedings of the Bioinformatics Research and Applications - 13th International Symposium, 2017

2016

An incremental approach for attribute reduction based on knowledge granularity.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

A Comprehensive Review of Emerging Computational Methods for Gene Identification.

[BibT_eX]

[DOI]

J. Inf. Process. Syst., 2016

Predicting MicroRNA-Disease Associations by Random Walking on Multiple Networks.

[BibT_eX]

[DOI]

Proceedings of the Bioinformatics Research and Applications - 12th International Symposium, 2016

A deep learning method for lincRNA identification using auto-encoder algorithm.

[BibT_eX]

[DOI]

Ning Yu

Zeng Yu

Yi Pan

Proceedings of the 6th IEEE International Conference on Computational Advances in Bio and Medical Sciences, 2016

A Novel Deep Learning Network Architecture with Cross-Layer Neurons.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016

Zeng Yu

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