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Xingwang Zhao
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2020 – today
- 2024
- [j25]Xingwang Zhao
, Shujun Wang, Xiaolin Liu, Jiye Liang:
Multi-view clustering via dynamic unified bipartite graph learning. Pattern Recognit. 156: 110715 (2024) - 2023
- [j24]Shaoshuai Ya
Improved BDS-2/3 Satellite Ultra-Fast Clock Bias Prediction Based with the SSA-ELM Model. Sensors 23(5): 2453 (2023) - 2022
- [j23]Kaihan Zhang, Zhiqiang Wang, Jiye Liang
A Bayesian matrix factorization model for dynamic user embedding in recommender system. Frontiers Comput. Sci. 16(5): 165346 (2022) - [j22]Chunyang Liu, Chao Liu, Jian Wang, Xingwang Zhao, Jian Chen, Ya Fan:
Assessment of Galileo FOC + IOV Signals and Geometry-Based Single-Epoch Resolution of Quad-Frequency Carrier Ambiguities. Remote. Sens. 14(18): 4673 (2022) - 2021
- [j21]Xingwang Zhao
A community detection algorithm based on graph compression for large-scale social networks. Inf. Sci. 551: 358-372 (2021) - [j20]Chao Liu, Yuan Tao, Haiqiang Xin, Xingwang Zhao, Chunyang Liu, Haojie Hu, Tengfei Zhou:
A Single-Difference Multipath Hemispherical Map for Multipath Mitigation in BDS-2/BDS-3 Short Baseline Positioning. Remote. Sens. 13(2): 304 (2021) - [c2]Chunyu Qu, Xingwang Zhao:
Total Factor Productivity Analysis of High-tech Industries for Supply-side Structural Reform. ICACI 2021: 46-51 - 2020
- [j19]Jian Chen
A New Cycle Slip Detection and Repair Method for Galileo Four-Frequency Observations. IEEE Access 8: 56528-56543 (2020) - [j18]Jian Chen, Dongjie Yue, Shaolin Zhu, Zhiqiang Liu, Xingwang Zhao, Wei Xu:
Corrections to "A New Cycle Slip Detection and Repair Method for Galileo Four-Frequency Observations". IEEE Access 8: 91586 (2020) - [j17]Liqin Yu
Combining attribute content and label information for categorical data ensemble clustering. Appl. Math. Comput. 381: 125280 (2020) - [j16]Yan Xia, Shuguo Pan, Xiaolin Meng
Anomaly Detection for Urban Vehicle GNSS Observation with a Hybrid Machine Learning System. Remote. Sens. 12(6): 971 (2020)
2010 – 2019
- 2019
- [j15]Jie Wang, Jiye Liang
Protein complex detection algorithm based on multiple topological characteristics in PPI networks. Inf. Sci. 489: 78-92 (2019) - [j14]Jie Wang, Jiye Liang, Xingwang Zhao, Wenping Zheng:
一种基于同配性的重叠蛋白质复合体检测算法 (Overlapping Protein Complexes Detection Algorithm Based on Assortativity in PPI Networks). 计算机科学 46(2): 294-300 (2019) - [j13]Xingwang Zhao
A stratified sampling based clustering algorithm for large-scale data. Knowl. Based Syst. 163: 416-428 (2019) - [j12]Yulong Ge
Performance of Multi-GNSS Precise Point Positioning Time and Frequency Transfer with Clock Modeling. Remote. Sens. 11(3): 347 (2019) - 2018
- [j11]Xingwang Zhao
A sequential ensemble clusterings generation algorithm for mixed data. Appl. Math. Comput. 335: 264-277 (2018) - [j10]Xingwang Zhao, Jiye Liang, Lanjie Guo:
一种基于空间变换的协同过滤推荐算法 (Collaborative Filtering Recommendation Algorithm Based on Space Transformation). 计算机科学 45(7): 16-21 (2018) - [j9]Fuyuan Cao
An Algorithm for Clustering Categorical Data With Set-Valued Features. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4593-4606 (2018) - 2017
- [j8]Yunsheng Song
An efficient instance selection algorithm for k nearest neighbor regression. Neurocomputing 251: 26-34 (2017) - [j7]Jian Deng
A Robust Method for GPS/BDS Pseudorange Differential Positioning Based on the Helmert Variance Component Estimation. J. Sensors 2017: 8172342:1-8172342:8 (2017) - [j6]Xingwang Zhao
Clustering ensemble selection for categorical data based on internal validity indices. Pattern Recognit. 69: 150-168 (2017) - 2016
- [j5]Tianjie Pang, Xingwang Zhao:
一种基于先验信息的混合数据聚类个数确定算法 (Algorithm to Determine Number of Clusters for Mixed Data Based on Prior Information). 计算机科学 43(2): 101-104 (2016) - 2015
- [c1]Cuiying Zhang, Xuexiang Yu, Xingwang Zhao:
Real-Time Land Information Survey System Based on GPS/GIS/PDA. GRMSE 2015: 267-276 - 2014
- [j4]Xingwang Zhao
A simple and effective outlier detection algorithm for categorical data. Int. J. Mach. Learn. Cybern. 5(3): 469-477 (2014) - 2013
- [j3]Fuyuan Cao, Jiye Liang
A weighting k-modes algorithm for subspace clustering of categorical data. Neurocomputing 108: 23-30 (2013) - 2012
- [j2]Jiye Liang
Determining the number of clusters using information entropy for mixed data. Pattern Recognit. 45(6): 2251-2265 (2012) - 2010
- [j1]Fuyuan Cao, Jiye Liang
A Framework for Clustering Categorical Time-Evolving Data. IEEE Trans. Fuzzy Syst. 18(5): 872-882 (2010)
Coauthor Index
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