Zhaoyan Lyu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Generalization Error

Algorithmic Stability

Top Venues

Publications

Zhaoyan Lyu, Gholamali Aminian, Miguel R. D. Rodrigues
Synthetic Labeling: A Novel Approach to Advancing Few-Shot Learning. Tiny Papers @ ICLR (2024)
Chao Zhou, Zhaoyan Lyu, Miguel R. D. Rodrigues
BITS-Net: Blind Image Transparency Separation Network. ICIP (2023)
Zhaoyan Lyu, Gholamali Aminian, Miguel R. D. Rodrigues
On Neural Networks Fitting, Compression, and Generalization Behavior via Information-Bottleneck-like Approaches. Entropy 25 (7) (2023)
Jaweria Amjad, Zhaoyan Lyu, Miguel R. D. Rodrigues
Regression with Deep Neural Networks: Generalization Error Guarantees, Learning Algorithms, and Regularizers. EUSIPCO (2021)
Jaweria Amjad, Zhaoyan Lyu, Miguel R. D. Rodrigues
Deep Learning Model-Aware Regulatization With Applications to Inverse Problems. IEEE Trans. Signal Process. 69 (2021)
Zhaoyan Lyu, Gholamali Aminian, Miguel R. D. Rodrigues
Toward Minimal-Sufficiency in Regression Tasks: An Approach Based on a Variational Estimation Bottleneck. MLSP (2021)
Jaweria Amjad, Zhaoyan Lyu, Miguel R. D. Rodrigues
Model-Aware Regularization For Learning Approaches To Inverse Problems. CoRR (2020)
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)
Jaweria Amjad, Zhaoyan Lyu, Miguel R. D. Rodrigues
Deep Learning for Inverse Problems: Bounds and Regularizers. CoRR (2019)