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ORCIDZiwen Liu 0001
Person information
- affiliation: Beijing University of Posts and Telecommunications (BUPT), School of Mathematical Sciences, Beijing, ChinaX
- affiliation: University of Chinese Academy of Sciences (UCAS), School of Artificial Intelligence, Beijing, China
- affiliation (PhD 2023): University of Chinese Academy of Sciences, School of Mathematical Sciences, Beijing, China
Other persons with the same name
- Ziwen Liu — disambiguation page
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2020 – today
- 2026
[j4]Shangwu Feng
, Ziwen Liu, Ge Yang:
Confidence-aware dual-consistency and pixel-sampled dual-contrastive learning for semi-supervised biomedical image segmentation. Neurocomputing 669: 132422 (2026)- 2025
- [c4]Shangwu Feng, Ziwen Liu, Ge Yang:
IYNet: Asymmetric Multi-Input Network with Wavelet-Driven LF/HF Perturbation for Semi-Supervised Biomedical Image Segmentation. BIBM 2025: 3550-3555 - [c3]Jia He, Bonan Li, Ge Yang, Ziwen Liu:
Blaze3DM: Integrating Triplane Representation with Diffusion for Solving 3D Inverse Problems in Medical Imaging. MICCAI (2) 2025: 56-66 - 2024
- [j3]Ziwen Liu, Mingqiang Li, Congying Han, Siqi Tang, Tiande Guo:
STDNet: Rethinking Disentanglement Learning With Information Theory. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10407-10421 (2024) - [c2]Yanfeng Zhou, Lingrui Li, Zichen Wang, Guole Liu, Ziwen Liu, Ge Yang:
XNet v2: Fewer Limitations, Better Results and Greater Universality. BIBM 2024: 4070-4075 - [c1]Zicheng Zhang, Ruobing Zheng, Bonan Li, Congying Han, Tianqi Li, Meng Wang, Tiande Guo, Jingdong Chen, Ziwen Liu, Ming Yang:
Learning Dynamic Tetrahedra for High-Quality Talking Head Synthesis. CVPR 2024: 5209-5219 - [i6]Zicheng Zhang, Ruobing Zheng, Ziwen Liu, Congying Han, Tianqi Li, Meng Wang, Tiande Guo, Jingdong Chen, Bonan Li, Ming Yang:
Learning Dynamic Tetrahedra for High-Quality Talking Head Synthesis. CoRR abs/2402.17364 (2024) - [i5]Jia He, Bonan Li, Ge Yang, Ziwen Liu:
Blaze3DM: Marry Triplane Representation with Diffusion for 3D Medical Inverse Problem Solving. CoRR abs/2405.15241 (2024) - [i4]Yanfeng Zhou, Lingrui Li, Zichen Wang, Guole Liu, Ziwen Liu, Ge Yang:
XNet v2: Fewer Limitations, Better Results and Greater Universality. CoRR abs/2409.00947 (2024) - 2023
- [j2]Ziwen Liu, Chenguang Wang, Congying Han, Tiande Guo:
Learning graph representation by aggregating subgraphs via mutual information maximization. Neurocomputing 548: 126392 (2023) - 2022
- [i3]Ziwen Liu, Bonan Li, Congying Han, Tiande Guo, Xuecheng Nie:
Masked Reconstruction Contrastive Learning with Information Bottleneck Principle. CoRR abs/2211.09013 (2022) - 2021
- [i2]Ziwen Liu, Mingqiang Li, Congying Han:
Blocked and Hierarchical Disentangled Representation From Information Theory Perspective. CoRR abs/2101.08408 (2021) - [i1]Chenguang Wang, Ziwen Liu:
Graph Representation Learning by Ensemble Aggregating Subgraphs via Mutual Information Maximization. CoRR abs/2103.13125 (2021)
2010 – 2019
- 2019
- [j1]Li Sun, Kang Zhao, Congying Han, Ziwen Liu:
Enhancing Hyperspectral Unmixing With Two-Stage Multiplicative Update Nonnegative Matrix Factorization. IEEE Access 7: 171023-171031 (2019)
Coauthor Index
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