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ORCIDZhaoyan Lyu
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Journal Articles
- 2023
[j2]Zhaoyan Lyu
, Gholamali Aminian, Miguel R. D. Rodrigues:
On Neural Networks Fitting, Compression, and Generalization Behavior via Information-Bottleneck-like Approaches. Entropy 25(7): 1063 (2023)- 2021
- [j1]Jaweria Amjad, Zhaoyan Lyu, Miguel R. D. Rodrigues:
Deep Learning Model-Aware Regulatization With Applications to Inverse Problems. IEEE Trans. Signal Process. 69: 6371-6385 (2021)
Conference and Workshop Papers
- 2024
- [c5]Zhaoyan Lyu, Gholamali Aminian, Miguel R. D. Rodrigues:
Synthetic Labeling: A Novel Approach to Advancing Few-Shot Learning. Tiny Papers @ ICLR 2024 - 2023
- [c4]Chao Zhou, Zhaoyan Lyu, Miguel R. D. Rodrigues:
BITS-Net: Blind Image Transparency Separation Network. ICIP 2023: 375-379 - 2021
- [c3]Jaweria Amjad, Zhaoyan Lyu, Miguel R. D. Rodrigues:
Regression with Deep Neural Networks: Generalization Error Guarantees, Learning Algorithms, and Regularizers. EUSIPCO 2021: 1481-1485 - [c2]Zhaoyan Lyu, Gholamali Aminian, Miguel R. D. Rodrigues:
Toward Minimal-Sufficiency in Regression Tasks: An Approach Based on a Variational Estimation Bottleneck. MLSP 2021: 1-6 - 2020
- [c1]Ke Li, Zhaoyan Lyu, Heng Liu, Pingzhi Fan:
A Popularity- and Mobility-Aware Multi-layer Caching with Feedback Mechanism for Highway Vehicular Networks. VTC Fall 2020: 1-6
Informal and Other Publications
- 2020
- [i2]Jaweria Amjad, Zhaoyan Lyu, Miguel R. D. Rodrigues:
Model-Aware Regularization For Learning Approaches To Inverse Problems. CoRR abs/2006.10869 (2020) - 2019
- [i1]Jaweria Amjad, Zhaoyan Lyu, Miguel R. D. Rodrigues:
Deep Learning for Inverse Problems: Bounds and Regularizers. CoRR abs/1901.11352 (2019)
Coauthor Index
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