Principal subspace estimation for low-rank Toeplitz covariance matrices with binary sensing. - Haoyu Fu; Yuejie Chi (ACSSC, 2016)

Compressive spectrum estimation using quantized measurements. - Haoyu Fu; Yuejie Chi (ACSSC, 2017)

Subspace Learning From Bits. - Yuejie Chi; Haoyu Fu (IEEE Trans. Signal Process., 2017)

Terahertz Imaging of Binary Reflectance with Variational Bayesian Inference. - Pu Wang 004; Toshiaki Koike-Akino; Philip V. Orlik; Haoyu Fu; Yuejie Chi (ICASSP, 2018)

Multi-Layer Terahertz Imaging of Non-Overlapping Contents. - Pu Wang 004; Haoyu Fu; Toshiaki Koike-Akino; Philip V. Orlik (SAM, 2018)

Local Geometry of One-Hidden-Layer Neural Networks for Logistic Regression. - Haoyu Fu; Yuejie Chi; Yingbin Liang (CoRR, 2018)

Quantized Spectral Compressed Sensing: Cramer-Rao Bounds and Recovery Algorithms. - Haoyu Fu; Yuejie Chi (IEEE Trans. Signal Process., 2018)

Local Geometry of Cross Entropy Loss in Learning One-Hidden-Layer Neural Networks. - Haoyu Fu; Yuejie Chi; Yingbin Liang (ISIT, 2019)

Guaranteed Recovery of One-Hidden-Layer Neural Networks via Cross Entropy. - Haoyu Fu; Yuejie Chi; Yingbin Liang (IEEE Trans. Signal Process., 2020)

Multigranularity Multiclass-Layer Markov Random Field Model for Improving Remote Sensing Image Classification. - Jun Wang 157; Haoyu Fu; Chen Zheng 002; Leiguang Wang; Qinling Dai (HPCC/DSS/SmartCity/DependSys, 2021)

High Spatial Resolution Remote Sensing Imagery Classification Based on Markov Random Field Model Integrating Granularity and Semantic Features. - Jun Wang 157; Qinling Dai; Leiguang Wang; Yili Zhao; Haoyu Fu; Yue Zhang (PRCV (3), 2022)

Decoupled and Reparameterized Compound Attention-Based Light Field Depth Estimation Network. - Wan Liao; Xiaoqi Bai; Qian Zhang 033; Jie Cao; Haoyu Fu; Wei Wei; Bin Wang 052; Tao Yan 003 (IEEE Access, 2023)

Multi-Semantic Markov Random Field Model for Semantic Segmentation of High-Resolution Remote Sensing Images. - Haoyu Fu; Chen Zheng 002; Weiheng Xu; Yili Zhao; Leiguang Wang (IGARSS, 2024)

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 002; Leiguang Wang (IEEE Trans. Geosci. Remote. Sens., 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, 2025)

Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous Driving. - Zongchuang Zhao; Haoyu Fu; Dingkang Liang; Xin Zhou 013; Dingyuan Zhang; Hongwei Xie; Bing Wang; Xiang Bai (CoRR, 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., 2025)

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)