Bo Yang

Orcid: 0000-0001-6200-8727

Affiliations:
  • Xi'an Polytechnic University, School of Computer Science, Shaanxi Key Laboratory of Clothing Intelligence, China
  • Xi'an Jiaotong University, China (PhD 2015)


According to our database1, Bo Yang authored at least 25 papers between 2016 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
AugGCL: Multimodal graph learning for spatial transcriptomics analysis with enhanced gene and morphological data.
PLoS Comput. Biol., 2026

Deep embedding with consensus self-expressiveness for subspace clustering.
Neurocomputing, 2026

2025
Multi-layer matrix factorization for cancer subtyping using full and partial multi-omics dataset.
Briefings Bioinform., September, 2025

MC$^{2}$2LS: Towards Efficient Collective Location Selection in Competition.
IEEE Trans. Knowl. Data Eng., February, 2025

Multi-view multi-level contrastive graph convolutional network for cancer subtyping on multi-omics data.
Briefings Bioinform., January, 2025

PGC-CSS: A parallel graph clustering framework with collaborative self-supervision.
Knowl. Based Syst., 2025

MC<sup>2</sup>LS: Towards Efficient Collective Location Selection in Competition: (Extended Abstract).
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Towards Lightweight Time Series Forecasting: A Patch-Wise Transformer with Weak Data Enriching.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024
Deep learning-based X-ray diagnostic method for Kashin-Beck disease.
Proceedings of the 8th International Conference on Digital Signal Processing, 2024

2023
MRGCN: cancer subtyping with multi-reconstruction graph convolutional network using full and partial multi-omics dataset.
Bioinform., 2023

2022
Tensor-based multi-view clustering with consistency exploration and diversity regularization.
Knowl. Based Syst., 2022

Deep structure integrative representation of multi-omics data for cancer subtyping.
Bioinform., 2022

2021
Integrating Multi-Omic Data With Deep Subspace Fusion Clustering for Cancer Subtype Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Deep Subspace Mutual Learning for cancer subtypes prediction.
Bioinform., 2021

Joint Deep Dictionary Learning.
Proceedings of the Ninth International Conference on Advanced Cloud and Big Data, 2021

2020
Structured feature for multi-label learning.
Neurocomputing, 2020

Spatial-Content Image Search in Complex Scenes.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Deep Denoising Sparse Coding.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Deep Denoising Subspace Single-Cell Clustering.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Skeleton-Based 3D Object Retrieval Using Retina-Like Feature Descriptor.
IEEE Access, 2019

2018
Deep Subspace Similarity Fusion for the Prediction of Cancer Subtypes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Isometric hashing for image retrieval.
Signal Process. Image Commun., 2017

Low-rank preserving embedding.
Pattern Recognit., 2017

Graph regularized nonnegative sparse coding using incoherent dictionary for approximate nearest neighbor search.
Pattern Recognit., 2017

2016
Multi-manifold Discriminant Isomap for visualization and classification.
Pattern Recognit., 2016


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