Zhenhua Yu

Orcid: 0000-0001-6526-6991

Affiliations:
  • Ningxia University, School of Information Engineering, Yinchuan, China
  • University of Science and Technology of China, School of Information Science and Technology, China (PhD 2016)
  • Collaborative Innovation Center for Ningxia Big Data and Artificial Intelligence, Yinchuan, China


According to our database1, Zhenhua Yu authored at least 24 papers between 2012 and 2023.

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

Timeline

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Bibliography

2023
rcCAE: a convolutional autoencoder method for detecting intra-tumor heterogeneity and single-cell copy number alterations.
Briefings Bioinform., May, 2023

bmVAE: a variational autoencoder method for clustering single-cell mutation data.
Bioinform., January, 2023

DARTS-PAP: Differentiable Neural Architecture Search by Polarization of Instance Complexity Weighted Architecture Parameters.
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

2022
CAP: instance complexity-aware network pruning.
CoRR, 2022

AMC: accurate mutation clustering from single-cell DNA sequencing data.
Bioinform., 2022

A parametric model for clustering single-cell mutation data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Enhanced Bayesian detection for copy number alterations from next-generation sequencing data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Similarity-Aware and Variational Deep Adversarial Learning for Robust Facial Age Estimation.
IEEE Trans. Multim., 2020

SimuSCoP: reliably simulate Illumina sequencing data based on position and context dependent profiles.
BMC Bioinform., 2020

SCSsim: an integrated tool for simulating single-cell genome sequencing data.
Bioinform., 2020

GANcon: Protein Contact Map Prediction With Deep Generative Adversarial Network.
IEEE Access, 2020

Network Architecture Reasoning Via Deep Deterministic Policy Gradient.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Learning Neighborhood-Reasoning Label Distribution (NRLD) for Facial Age Estimation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Towards Omni-Supervised Face Alignment for Large Scale Unlabeled Videos.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Dual-Cycle Deep Reinforcement Learning for Stabilizing Face Tracking.
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

Similarity-Aware Deep Adversarial Learning for Facial Age Estimation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Multi-Agent Deep Collaboration Learning for Face Alignment Under Different Perspectives.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Learning Deformable Hourglass Networks (DHGN) for Unconstrained Face Alignment.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Learning Relational-Structural Networks for Robust Face Alignment.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

2018
Integrated Modeling of GC-Content, Mappability, Tumor Impurity and Aneuploidy for Accurate Detection of Genomic Aberrations.
IEEE Access, 2018

2016
CloneCNA: detecting subclonal somatic copy number alterations in heterogeneous tumor samples from whole-exome sequencing data.
BMC Bioinform., 2016

2015
DeAnnCNV: a tool for online detection and annotation of copy number variations from whole-exome sequencing data.
Nucleic Acids Res., 2015

2014
CLImAT: accurate detection of copy number alteration and loss of heterozygosity in impure and aneuploid tumor samples using whole-genome sequencing data.
Bioinform., 2014

2012
PISV: A novel algorithm for peptide identification using spectrum vector.
Proceedings of the 5th International Conference on BioMedical Engineering and Informatics, 2012


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