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T-SPP: Improving GNSS Single-Point Positioning Performance Using Transformer-Based Correction 期刊论文
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2024, 卷号: 2024, 页码: 15
作者:  Wu, Fan;  Wei, Liangrui;  Luo, Haiyong;  Zhao, Fang;  Ma, Xin;  Ning, Bokun
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Dual-View Curricular Optimal Transport for Cross-Lingual Cross-Modal Retrieval 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 卷号: 33, 页码: 1522-1533
作者:  Wang, Yabing;  Wang, Shuhui;  Luo, Hao;  Dong, Jianfeng;  Wang, Fan;  Han, Meng;  Wang, Xun;  Wang, Meng
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Visualization  Noise measurement  Estimation  Costs  Transportation  Training  Task analysis  Cross-modal retrieval  noise correspondence learning  cross-lingual transfer  optimal transport  machine translation  
Res-EMSA: Adaptive Adjustment of Innovation Based on Efficient Multihead Self-Attention in GNSS/INS Tightly Integrated Navigation System 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024, 卷号: 21, 页码: 5
作者:  Xu, Hongfu;  Luo, Haiyong;  Wu, Zijian;  Zhao, Fang
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Technological innovation  Global navigation satellite system  Navigation  Feature extraction  Adaptation models  Measurement uncertainty  Kalman filters  Deep learning  extended Kalman filter (EKF)  innovation matrix  integrated navigation  
FeCrypto: Instruction Set Architecture for Cryptographic Algorithms Based on FeFET-Based In-Memory Computing 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 9, 页码: 2889-2902
作者:  Liu, Rui;  Zhang, Xiaoyu;  Xie, Zhiwen;  Wang, Xinyu;  Li, Zerun;  Chen, Xiaoming;  Han, Yinhe;  Tang, Minghua
收藏  |  浏览/下载：9/0  |  提交时间：2023/12/04
Computing-in-memory (CiM)  cryptographic algorithm  ferroelectric field-effect transistor (FeFET)  instruc-tion set architecture (ISA)  
Federated Data Quality Assessment Approach: Robust Learning With Mixed Label Noise 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Zeng, Bixiao;  Yang, Xiaodong;  Chen, Yiqiang;  Yu, Hanchao;  Hu, Chunyu;  Zhang, Yingwei
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Noise measurement  Servers  Task analysis  Adaptation models  Data models  Data integrity  Computers  Data quality assessment  federated learning (FL)  noise-robust algorithm  
Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 6, 页码: 3154-3169
作者:  Xu, Qianqian;  Yang, Zhiyong;  Jiang, Yangbangyan;  Cao, Xiaochun;  Yao, Yuan;  Huang, Qingming
收藏  |  浏览/下载：21/0  |  提交时间：2022/12/07
Noise measurement  Annotations  Task analysis  Predictive models  Robustness  Visualization  Training  Subjective visual property (SVP)  robustness  outlier detection  probabilistic model  
Towards Predicting the Measurement Noise Covariance with a Transformer and Residual Denoising Autoencoder for GNSS/INS Tightly-Coupled Integrated Navigation 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 7, 页码: 22
作者:  Xu, Hongfu;  Luo, Haiyong;  Wu, Zijian;  Wu, Fan;  Bao, Linfeng;  Zhao, Fang
收藏  |  浏览/下载：19/0  |  提交时间：2022/12/07
tightly coupled integrated navigation  measurement noise estimation  transformer  adaptive Kalman filtering  
High-Resolution Land Cover Mapping Through Learning With Noise Correction 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 13
作者:  Dong, Runmin;  Fang, Weizhen;  Fu, Haohuan;  Gan, Lin;  Wang, Jie;  Gong, Peng
收藏  |  浏览/下载：18/0  |  提交时间：2022/12/07
Noise measurement  Training  Task analysis  Image resolution  Satellites  Noise robustness  Image segmentation  Deep learning  high-resolution imagery  noisy label  semantic segmentation  
PRDP: Person Reidentification With Dirty and Poor Data 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13
作者:  Xu, Furong;  Ma, Bingpeng;  Chang, Hong;  Shan, Shiguang
收藏  |  浏览/下载：22/0  |  提交时间：2022/06/21
Training  Noise measurement  Data models  Task analysis  Training data  Predictive models  Heuristic algorithms  Dirty  metric learning  person reidentification (ReID)  poor  
Predicting the Noise Covariance With a Multitask Learning Model for Kalman Filter-Based GNSS/INS Integrated Navigation 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 13
作者:  Wu, Fan;  Luo, Haiyong;  Jia, Hongwei;  Zhao, Fang;  Xiao, Yimin;  Gao, Xile
收藏  |  浏览/下载：36/0  |  提交时间：2021/12/01
Adaptive integrated navigation  deep learning  denoising autoencoder (DAE)  Kalman filter (KF)  measurement noise  process noise