Haoyu Fu

Orcid: 0000-0002-2108-7729

According to our database1, Haoyu Fu authored at least 13 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multi-Semantic Markov Random Field Model for Semantic Segmentation of High-Resolution Remote Sensing Images.
Proceedings of the IGARSS 2024, 2024

2023
Decoupled and Reparameterized Compound Attention-Based Light Field Depth Estimation Network.
IEEE Access, 2023

2022
High Spatial Resolution Remote Sensing Imagery Classification Based on Markov Random Field Model Integrating Granularity and Semantic Features.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

2021
Multigranularity Multiclass-Layer Markov Random Field Model for Improving Remote Sensing Image Classification.
Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

2020
Guaranteed Recovery of One-Hidden-Layer Neural Networks via Cross Entropy.
IEEE Trans. Signal Process., 2020

2019
Local Geometry of Cross Entropy Loss in Learning One-Hidden-Layer Neural Networks.
Proceedings of the IEEE International Symposium on Information Theory, 2019

2018
Quantized Spectral Compressed Sensing: Cramer-Rao Bounds and Recovery Algorithms.
IEEE Trans. Signal Process., 2018

Local Geometry of One-Hidden-Layer Neural Networks for Logistic Regression.
CoRR, 2018

Multi-Layer Terahertz Imaging of Non-Overlapping Contents.
Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018

Terahertz Imaging of Binary Reflectance with Variational Bayesian Inference.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Subspace Learning From Bits.
IEEE Trans. Signal Process., 2017

Compressive spectrum estimation using quantized measurements.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Principal subspace estimation for low-rank Toeplitz covariance matrices with binary sensing.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016


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