Zhaoyan Lyu

According to our database, Zhaoyan Lyu authored at least 8 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

On Neural Networks Fitting, Compression, and Generalization Behavior via Information-Bottleneck-like Approaches.

Zhaoyan Lyu, Gholamali Aminian, Miguel R. D. Rodrigues

Entropy, July, 2023

BITS-Net: Blind Image Transparency Separation Network.

Chao Zhou, Zhaoyan Lyu, Miguel R. D. Rodrigues

Proceedings of the IEEE International Conference on Image Processing, 2023

2021

Deep Learning Model-Aware Regulatization With Applications to Inverse Problems.

Jaweria Amjad, Zhaoyan Lyu, Miguel R. D. Rodrigues

IEEE Trans. Signal Process., 2021

Toward Minimal-Sufficiency in Regression Tasks: An Approach Based on a Variational Estimation Bottleneck.

Zhaoyan Lyu, Gholamali Aminian, Miguel R. D. Rodrigues

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Regression with Deep Neural Networks: Generalization Error Guarantees, Learning Algorithms, and Regularizers.

Jaweria Amjad, Zhaoyan Lyu, Miguel R. D. Rodrigues

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Model-Aware Regularization For Learning Approaches To Inverse Problems.

Jaweria Amjad, Zhaoyan Lyu, Miguel R. D. Rodrigues

CoRR, 2020

A Popularity- and Mobility-Aware Multi-layer Caching with Feedback Mechanism for Highway Vehicular Networks.

Ke Li, Zhaoyan Lyu, Heng Liu, Pingzhi Fan

Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

2019

Deep Learning for Inverse Problems: Bounds and Regularizers.

Jaweria Amjad, Zhaoyan Lyu, Miguel R. D. Rodrigues

CoRR, 2019