Haoyu Fu

21 papers B 1C 1Misc 3Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Posture optimization for improving the kinematics performance of robotic polishing under combined constraints by using a KC-ADP method.
Robotics Comput. Integr. Manuf.
Yingpeng Wang, Huipeng Song, Haoyu Fu, Yuwen Sun
2025 J jnl
Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous Driving.
CoRR
Zongchuang Zhao, Haoyu Fu, Dingkang Liang, Xin Zhou, Dingyuan Zhang, Hongwei Xie, Bing Wang, Xiang Bai
2025 J jnl
MindDrive: A Vision-Language-Action Model for Autonomous Driving via Online Reinforcement Learning.
CoRR
Haoyu Fu, Diankun Zhang, Zongchuang Zhao, Jianfeng Cui, Hongwei Xie, Bing Wang, Guang Chen, Dingkang Liang, Xiang Bai
2025 J jnl
OMRF-HS: Object Markov Random Field With Hierarchical Semantic Regularization for High-Resolution Image Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens.
Haoyu Fu, Ruiqi Yang, Nan Chen, Qinling Dai, Yili Zhao, Weiheng Xu, Guanglong Ou, Chen Zheng, Leiguang Wang
2025 J jnl
ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation.
CoRR
Haoyu Fu, Diankun Zhang, Zongchuang Zhao, Jianfeng Cui, Dingkang Liang, Chong Zhang, Dingyuan Zhang, Hongwei Xie, Bing Wang, Xiang Bai
2025 J jnl
Object based Markov random field model for hierarchical semantic segmentation of remote sensing imagery.
Int. J. Digit. Earth
Jun Wang, Chen Zheng, Haoyu Fu, Yili Zhao, Qinling Dai, Xin Huang, Junfeng Xie, Leiguang Wang
2025 J jnl
Reads: A Personalized Federated Learning Framework With Fine-Grained Layer Aggregation and Decentralized Clustering.
IEEE Trans. Mob. Comput.
Haoyu Fu, Fengsen Tian, Guoqiang Deng, Lingyu Liang, Xinglin Zhang
2024 C conf
Multi-Semantic Markov Random Field Model for Semantic Segmentation of High-Resolution Remote Sensing Images.
IGARSS
Haoyu Fu, Chen Zheng, Weiheng Xu, Yili Zhao, Leiguang Wang
2023 J jnl
Decoupled and Reparameterized Compound Attention-Based Light Field Depth Estimation Network.
IEEE Access
Wan Liao, Xiaoqi Bai, Qian Zhang, Jie Cao, Haoyu Fu, Wei Wei, Bin Wang, Tao Yan
2022 — conf
High Spatial Resolution Remote Sensing Imagery Classification Based on Markov Random Field Model Integrating Granularity and Semantic Features.
PRCV (3)
Jun Wang, Qinling Dai, Leiguang Wang, Yili Zhao, Haoyu Fu, Yue Zhang
2021 — conf
Multigranularity Multiclass-Layer Markov Random Field Model for Improving Remote Sensing Image Classification.
HPCC/DSS/SmartCity/DependSys
Jun Wang, Haoyu Fu, Chen Zheng, Leiguang Wang, Qinling Dai
2020 J jnl
Guaranteed Recovery of One-Hidden-Layer Neural Networks via Cross Entropy.
IEEE Trans. Signal Process.
Haoyu Fu, Yuejie Chi, Yingbin Liang
2019 B conf
Local Geometry of Cross Entropy Loss in Learning One-Hidden-Layer Neural Networks.
ISIT
Haoyu Fu, Yuejie Chi, Yingbin Liang
2018 J jnl
Local Geometry of One-Hidden-Layer Neural Networks for Logistic Regression.
CoRR
Haoyu Fu, Yuejie Chi, Yingbin Liang
2018 — conf
Multi-Layer Terahertz Imaging of Non-Overlapping Contents.
SAM
Pu Wang, Haoyu Fu, Toshiaki Koike-Akino, Philip V. Orlik
2018 J jnl
Quantized Spectral Compressed Sensing: Cramer-Rao Bounds and Recovery Algorithms.
IEEE Trans. Signal Process.
Haoyu Fu, Yuejie Chi
2018 Misc conf
Terahertz Imaging of Binary Reflectance with Variational Bayesian Inference.
ICASSP
Pu Wang, Toshiaki Koike-Akino, Philip V. Orlik, Haoyu Fu, Yuejie Chi
2017 Misc conf
Compressive spectrum estimation using quantized measurements.
ACSSC
Haoyu Fu, Yuejie Chi
2017 J jnl
Quantized Spectral Compressed Sensing: Cramer-Rao Bounds and Recovery Algorithms.
CoRR
Haoyu Fu, Yuejie Chi
2017 J jnl
Subspace Learning From Bits.
IEEE Trans. Signal Process.
Yuejie Chi, Haoyu Fu
2016 Misc conf
Principal subspace estimation for low-rank Toeplitz covariance matrices with binary sensing.
ACSSC
Haoyu Fu, Yuejie Chi