We stand with Ukraine

We stand with Ukraine

Ziwen Liu

Orcid: 0000-0003-3894-1677

Affiliations:

Beijing University of Posts and Telecommunications (BUPT), School of Mathematical Sciences, Beijing, ChinaX
University of Chinese Academy of Sciences (UCAS), School of Artificial Intelligence, Beijing, China
University of Chinese Academy of Sciences, School of Mathematical Sciences, Beijing, China (PhD 2023)

According to our database¹, Ziwen Liu authored at least 12 papers between 2019 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

Confidence-aware dual-consistency and pixel-sampled dual-contrastive learning for semi-supervised biomedical image segmentation.

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Neurocomputing, 2026

2025

Blaze3DM: Integrating Triplane Representation with Diffusion for Solving 3D Inverse Problems in Medical Imaging.

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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

IYNet: Asymmetric Multi-Input Network with Wavelet-Driven LF/HF Perturbation for Semi-Supervised Biomedical Image Segmentation.

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

2024

STDNet: Rethinking Disentanglement Learning With Information Theory.

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IEEE Trans. Neural Networks Learn. Syst., August, 2024

Blaze3DM: Marry Triplane Representation with Diffusion for 3D Medical Inverse Problem Solving.

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CoRR, 2024

Learning Dynamic Tetrahedra for High-Quality Talking Head Synthesis.

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

XNet v2: Fewer Limitations, Better Results and Greater Universality.

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

2023

Learning graph representation by aggregating subgraphs via mutual information maximization.

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Neurocomputing, 2023

2022

Masked Reconstruction Contrastive Learning with Information Bottleneck Principle.

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CoRR, 2022

2021

Graph Representation Learning by Ensemble Aggregating Subgraphs via Mutual Information Maximization.

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CoRR, 2021

Blocked and Hierarchical Disentangled Representation From Information Theory Perspective.

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CoRR, 2021

2019

Enhancing Hyperspectral Unmixing With Two-Stage Multiplicative Update Nonnegative Matrix Factorization.

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IEEE Access, 2019

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