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We stand with Ukraine

Ying Liu

Orcid: 0000-0003-3740-9144

Affiliations:

Hunan University, College of Computer Science and Electronic Engineering, Changsha, China

According to our database¹, Ying Liu authored at least 21 papers between 2017 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2026

HSG-Net: Point Cloud Completion via Heuristic Structure Growing.

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IEEE Trans. Neural Networks Learn. Syst., February, 2026

ISDNet: High-Fidelity Single-View Reconstruction of Indoor Scenes via Instance Separation and Deformation.

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IEEE Trans. Multim., 2026

2025

scGANCL: Bidirectional Generative Adversarial Network for Imputing scRNA-Seq Data With Contrastive Learning.

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IEEE Trans. Comput. Biol. Bioinform., 2025

scTrans: Sparse attention powers fast and accurate cell type annotation in single-cell RNA-seq data.

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PLoS Comput. Biol., 2025

Decoupling upper and lower face transformers for binary interactive video generation.

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Neural Networks, 2025

RWKV-PCSSC: Exploring RWKV Model for Point Cloud Semantic Scene Completion.

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Proceedings of the 33rd ACM International Conference on Multimedia, 2025

MROSS: Multi-Round Region-based Optimization for Scene Sketching.

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Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

High-Frequency-Aware Graph Integration for Subcellular Spatial Transcriptomics.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

iEnhancer-Fusion: Integrating Sequence Semantics and DNA Breathing Dynamics for Enhancer Identification and Strength Classification.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Artistic Portrait Drawing with Vector Strokes.

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CoRR, 2024

Multi-Round Region-Based Optimization for Scene Sketching.

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CoRR, 2024

MiRGraph: A hybrid deep learning approach to identify microRNA-target interactions by integrating heterogeneous regulatory network and genomic sequences.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Spatial-MGCN: a novel multi-view graph convolutional network for identifying spatial domains with attention mechanism.

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Briefings Bioinform., September, 2023

scGCL: an imputation method for scRNA-seq data based on graph contrastive learning.

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Bioinform., March, 2023

SD-Net: Spatially-Disentangled Point Cloud Completion Network.

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

scSRL: Siamese Representation Learning-based method for analyzing single-cell RNA-seq data.

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Inferring RNA-binding protein target preferences using adversarial domain adaptation.

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PLoS Comput. Biol., 2022

2021

SG-LSTM-FRAME: a computational frame using sequence and geometrical information via LSTM to predict miRNA-gene associations.

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Briefings Bioinform., 2021

2020

Identifying lncRNA and mRNA Co-Expression Modules from Matched Expression Data in Ovarian Cancer.

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IEEE ACM Trans. Comput. Biol. Bioinform., 2020

2019

Inferring MicroRNA Targets Based on Restricted Boltzmann Machines.

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IEEE J. Biomed. Health Informatics, 2019

2017

A Novel Group Wise-Based Method for Calculating Human miRNA Functional Similarity.

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IEEE Access, 2017

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