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ORCIDJi Xu 0001
Person information
- affiliation: Guizhou University, State Key Laboratory of Public Big Data, Guiyang, China
- affiliation (PhD 2017): Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China
Other persons with the same name
- Ji Xu — disambiguation page
- Ji Xu 0002
![[0000-0001-6480-6220]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-6480-6220")
— Dalian Polytechnic University, School of Information Science and Engineering, China - Ji Xu 0003 — Columbia University, Department of Computer Science, NY, USA
- Ji Xu 0004 — Chinese Academy of Sciences (CAS), Institute of Acoustics, Beijing, China (and 1 more)
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2020 – today
- 2025
[j18]Yao Xiao, Ji Xu, Jing Yang, Shaobo Li, Guoyin Wang:
Determinate node selection for semi-supervised classification oriented graph convolutional networks. Int. J. Bio Inspired Comput. 25(1): 1-10 (2025)- [j17]Jing Yang, Xingjiang Ma, Yuankai Wu, Chengjiang Li, Zhidong Su, Ji Xu, Yixiong Feng:
AOGN-CZSL: An Attribute- and Object-Guided Network for Compositional Zero-Shot Learning. Inf. Fusion 120: 103096 (2025) - [j16]Xingwang Li, Fei Teng, Minbo Ma, Zhen Qin, Jinhong Guo, Ji Xu, Tianrui Li:
Multi-Level Transfer Learning for irregular clinical time series prediction. Knowl. Based Syst. 324: 113825 (2025) - [j15]Jinye Yang, Ji Xu, Di Wu, Jianhang Tang, Shaobo Li, Guoyin Wang:
Long-Tailed Classification Based on Coarse-Grained Leading Forest and Multi-Center Loss. IEEE Trans. Emerg. Top. Comput. Intell. 9(3): 2093-2107 (2025) - [j14]Ji Xu, Gang Ren, Jianhang Tang, Weiping Ding, Guoyin Wang:
Selecting Central and Divergent Samples via Leading Tree Metric Space for Semisupervised Learning. IEEE Trans. Fuzzy Syst. 33(5): 1578-1591 (2025) - [j13]Fuchuan Xiang, Yao Xiao, Fenglin Cen, Ji Xu:
SLRNode: node similarity-based leading relationship representation layer in graph neural networks for node classification. J. Supercomput. 81(5): 657 (2025) - 2024
- [j12]Jianhang Tang, Jiangtian Nie, Jingpan Bai, Ji Xu, Shaobo Li, Yang Zhang, Yanli Yuan:
UAV-Assisted Digital-Twin Synchronization With Tiny-Machine-Learning-Based Semantic Communications. IEEE Internet Things J. 11(17): 28437-28451 (2024) - [j11]Jing Yang, Zukun Yu, Shaobo Li, Yang Cao, Jianjun Hu, Ji Xu:
GGT-SNN: Graph learning and Gaussian prior integrated spiking graph neural network for event-driven tactile object recognition. Inf. Sci. 677: 120998 (2024) - [c2]Fuchuan Xiang, Jianhang Tang, Shaobo Li, Guoyin Wang, Ji Xu:
Hyp-DAN: Hyperbolic Distance-Aware Attention Networks. IJCRS (1) 2024: 314-328 - [i6]Ji Xu, Tianlong Xiao, Jinye Yang, Panpan Zhu:
Faithful Density-Peaks Clustering via Matrix Computations on MPI Parallelization System. CoRR abs/2406.12297 (2024) - 2023
- [i5]Yao Xiao, Ji Xu, Jing Yang, Shaobo Li:
Determinate Node Selection for Semi-supervised Classification Oriented Graph Convolutional Networks. CoRR abs/2301.04381 (2023) - [i4]Jinye Yang, Ji Xu:
Long-Tailed Classification Based on Coarse-Grained Leading Forest and Multi-Center Loss. CoRR abs/2310.08206 (2023) - 2022
- [j10]Shun Fu, Guoyin Wang, Ji Xu, Shuyin Xia:
IbLT: An effective granular computing framework for hierarchical community detection. J. Intell. Inf. Syst. 58(1): 175-196 (2022) - [i3]Ji Xu, Gang Ren, Yao Xiao, Shaobo Li, Guoyin Wang:
Semi-supervised Learning with Deterministic Labeling and Large Margin Projection. CoRR abs/2208.08058 (2022) - 2021
- [j9]Ji Xu, Tianrui Li, Yongming Wu, Guoyin Wang:
LaPOLeaF: Label propagation in an optimal leading forest. Inf. Sci. 575: 133-154 (2021) - [j8]Shun Fu, Guoyin Wang, Ji Xu:
hier2vec: interpretable multi-granular representation learning for hierarchy in social networks. Int. J. Mach. Learn. Cybern. 12(9): 2543-2557 (2021)
2010 – 2019
- 2018
- [j7]Di Wu, Mingsheng Shang, Xin Luo, Ji Xu, Huyong Yan, Weihui Deng, Guoyin Wang:
Self-training semi-supervised classification based on density peaks of data. Neurocomputing 275: 180-191 (2018) - [j6]Ji Xu, Guoyin Wang, Tianrui Li, Witold Pedrycz:
Local-Density-Based Optimal Granulation and Manifold Information Granule Description. IEEE Trans. Cybern. 48(10): 2795-2808 (2018) - 2017
- [j5]Ji Xu, Guoyin Wang, Tianrui Li, Weihui Deng, Guanglei Gou:
Fat node leading tree for data stream clustering with density peaks. Knowl. Based Syst. 120: 99-117 (2017) - [i2]Ji Xu, Guoyin Wang:
Non-iterative Label Propagation on Optimal Leading Forest. CoRR abs/1709.08426 (2017) - 2016
- [j4]Weihui Deng, Guoyin Wang, Xuerui Zhang, Ji Xu, Guangdi Li:
A multi-granularity combined prediction model based on fuzzy trend forecasting and particle swarm techniques. Neurocomputing 173: 1671-1682 (2016) - [j3]Ji Xu, Guoyin Wang, Weihui Deng:
DenPEHC: Density peak based efficient hierarchical clustering. Inf. Sci. 373: 200-218 (2016) - [j2]Weihui Deng, Guoyin Wang, Ji Xu:
Piecewise two-dimensional normal cloud representation for time-series data mining. Inf. Sci. 374: 32-50 (2016) - 2015
- [c1]Guoyin Wang, Ji Xu, Qinghua Zhang, Yuchao Liu:
Multi-granularity Intelligent Information Processing. RSFDGrC 2015: 36-48 - [i1]Ji Xu, Guoyin Wang:
Leading Tree in DPCLUS and Its Impact on Building Hierarchies. CoRR abs/1506.03879 (2015) - 2014
- [j1]Guoyin Wang, Ji Xu:
Granular computing with multiple granular layers for brain big data processing. Brain Informatics 1(1-4): 1-10 (2014)
Coauthor Index
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