Haoyu Fu

According to our database, Haoyu Fu authored at least 18 papers between 2016 and 2026.

Collaborative distances:

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

2026

Posture optimization for improving the kinematics performance of robotic polishing under combined constraints by using a KC-ADP method.

Yingpeng Wang, Huipeng Song, Haoyu Fu, Yuwen Sun

Robotics Comput. Integr. Manuf., 2026

2025

Reads: A Personalized Federated Learning Framework With Fine-Grained Layer Aggregation and Decentralized Clustering.

Haoyu Fu, Fengsen Tian, Guoqiang Deng, Lingyu Liang, Xinglin Zhang

IEEE Trans. Mob. Comput., August, 2025

Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous Driving.

Zongchuang Zhao, Haoyu Fu, Dingkang Liang, Xin Zhou, Dingyuan Zhang, Hongwei Xie, Bing Wang, Xiang Bai

CoRR, May, 2025

ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation.

Haoyu Fu, Diankun Zhang, Zongchuang Zhao, Jianfeng Cui, Dingkang Liang, Chong Zhang, Dingyuan Zhang, Hongwei Xie, Bing Wang, Xiang Bai

CoRR, March, 2025

OMRF-HS: Object Markov Random Field With Hierarchical Semantic Regularization for High-Resolution Image Semantic Segmentation.

Haoyu Fu, Ruiqi Yang, Nan Chen, Qinling Dai, Yili Zhao, Weiheng Xu, Guanglong Ou, Chen Zheng, Leiguang Wang

IEEE Trans. Geosci. Remote. Sens., 2025

2024

Multi-Semantic Markov Random Field Model for Semantic Segmentation of High-Resolution Remote Sensing Images.

Haoyu Fu, Chen Zheng, Weiheng Xu, Yili Zhao, Leiguang Wang

Proceedings of the IGARSS 2024, 2024

2023

Decoupled and Reparameterized Compound Attention-Based Light Field Depth Estimation Network.

Wan Liao, Xiaoqi Bai, Qian Zhang, Jie Cao, Haoyu Fu, Wei Wei, Bin Wang, Tao Yan

IEEE Access, 2023

2022

High Spatial Resolution Remote Sensing Imagery Classification Based on Markov Random Field Model Integrating Granularity and Semantic Features.

Jun Wang, Qinling Dai, Leiguang Wang, Yili Zhao, Haoyu Fu, Yue Zhang

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.

Jun Wang, Haoyu Fu, Chen Zheng, Leiguang Wang, Qinling Dai

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.

Haoyu Fu, Yuejie Chi, Yingbin Liang

IEEE Trans. Signal Process., 2020

2019

Local Geometry of Cross Entropy Loss in Learning One-Hidden-Layer Neural Networks.

Haoyu Fu, Yuejie Chi, Yingbin Liang

Proceedings of the IEEE International Symposium on Information Theory, 2019

2018

Quantized Spectral Compressed Sensing: Cramer-Rao Bounds and Recovery Algorithms.

Haoyu Fu, Yuejie Chi

IEEE Trans. Signal Process., 2018

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

Haoyu Fu, Yuejie Chi, Yingbin Liang

CoRR, 2018

Multi-Layer Terahertz Imaging of Non-Overlapping Contents.

Pu Wang, Haoyu Fu, Toshiaki Koike-Akino, Philip V. Orlik

Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018

Terahertz Imaging of Binary Reflectance with Variational Bayesian Inference.

Pu Wang, Toshiaki Koike-Akino, Philip V. Orlik, Haoyu Fu, Yuejie Chi

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Subspace Learning From Bits.

Yuejie Chi, Haoyu Fu

IEEE Trans. Signal Process., 2017

Compressive spectrum estimation using quantized measurements.

Haoyu Fu, Yuejie Chi

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.

Haoyu Fu, Yuejie Chi

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016