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Benchmarking spatial clustering methods with spatially resolved transcriptomics data 期刊论文
NATURE METHODS, 2024, 页码: 25
作者:  Yuan, Zhiyuan;  Zhao, Fangyuan;  Lin, Senlin;  Zhao, Yu;  Yao, Jianhua;  Cui, Yan;  Zhang, Xiao-Yong;  Zhao, Yi
收藏  |  浏览/下载：0/0  |  提交时间：2024/05/20
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：0/0  |  提交时间：2024/05/20
Dalea: A Persistent Multi-Level Extendible Hashing with Improved Tail Performance 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2023, 卷号: 38, 期号: 5, 页码: 1051-1073
作者:  Xiong, Zi-Wei;  Jiang, De-Jun;  Xiong, Jin;  Ren, Ren
收藏  |  浏览/下载：0/0  |  提交时间：2024/05/20
persistent memory  persistent hashing  indexing structure  
DiamondNet: A Neural-Network-Based Heterogeneous Sensor Attentive Fusion for Human Activity Recognition 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 11
作者:  Zhu, Yida;  Luo, Haiyong;  Chen, Runze;  Zhao, Fang
收藏  |  浏览/下载：6/0  |  提交时间：2023/12/04
Convolutional denoising autoencoders (CDAEs)  global-attention mechanism  graph convolutional networks  human activity recognition (HAR)  multisensor modality  self-attention mechanism  
Recent Advances in Pedestrian Navigation Activity Recognition: A Review 期刊论文
IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 8, 页码: 7499-7518
作者:  Wang, Qu;  Luo, Haiyong;  Wang, Jianquan;  Sun, Lei;  Ma, Zhangchao;  Zhang, Chaoyi;  Fu, Meixia;  Zhao, Fang
收藏  |  浏览/下载：21/0  |  提交时间：2022/12/07
Activity recognition  Sensors  Navigation  Legged locomotion  Performance evaluation  Hidden Markov models  Feature extraction  Pedestrian positioning  human activity recognition  pedestrian navigation activity  public dataset  
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：17/0  |  提交时间：2022/12/07
tightly coupled integrated navigation  measurement noise estimation  transformer  adaptive Kalman filtering  
Floor Identification in Large-Scale Environments With Wi-Fi Autonomous Block Models 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 卷号: 18, 期号: 2, 页码: 847-858
作者:  Shao, Wenhua;  Luo, Haiyong;  Zhao, Fang;  Tian, Hui;  Huang, Jingyu;  Crivello, Antonino
收藏  |  浏览/下载：24/0  |  提交时间：2022/06/21
Autonomous block  fingerprint  floor identification  multistorey buildings  smartphone  Wi-Fi model  
Fine-Grained Trajectory-Based Travel Time Estimation for Multi-City Scenarios Based on Deep Meta-Learning 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 13
作者:  Wang, Chenxing;  Zhao, Fang;  Zhang, Haichao;  Luo, Haiyong;  Qin, Yanjun;  Fang, Yuchen
收藏  |  浏览/下载：17/0  |  提交时间：2022/12/07
Estimation  Trajectory  Task analysis  Urban areas  Roads  Data models  Global Positioning System  Spatial-temporal data mining  travel time estimation  meta learning  deep learning  
A Hierarchical LSTM-Based Indoor Geomagnetic Localization Algorithm 期刊论文
IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 2, 页码: 1227-1237
作者:  Wang, Liying;  Luo, Haiyong;  Wang, Qu;  Shao, Wenhua;  Zhao, Fang
收藏  |  浏览/下载：20/0  |  提交时间：2022/12/07
Location awareness  Sensors  Fingerprint recognition  Smart phones  Wireless communication  Buildings  Wireless fidelity  Location-based service  indoor geomagnetic positioning  data augmentation  hierarchical LSTM network  
MSCPT: Toward Cross-Place Transportation Mode Recognition Based on Multi-Sensor Neural Network Model 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 13
作者:  Zhu, Yida;  Luo, Haiyong;  Chen, Runze;  Zhao, Fang;  Guo, Song
收藏  |  浏览/下载：27/0  |  提交时间：2022/06/21
Transportation  Feature extraction  Data models  Navigation  Computational modeling  Bagging  Accelerometers  Cross-place  transportation mode recognition  SF-SEDNet  global attention  ensemble learning  data augmentation