Ji Xu

According to our database, Ji Xu authored at least 26 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

Long-Tailed Classification Based on Coarse-Grained Leading Forest and Multi-Center Loss.

Jinye Yang, Ji Xu, Di Wu, Jianhang Tang, Shaobo Li, Guoyin Wang

IEEE Trans. Emerg. Top. Comput. Intell., June, 2025

Selecting Central and Divergent Samples via Leading Tree Metric Space for Semisupervised Learning.

Ji Xu, Gang Ren, Jianhang Tang, Weiping Ding, Guoyin Wang

IEEE Trans. Fuzzy Syst., May, 2025

SLRNode: node similarity-based leading relationship representation layer in graph neural networks for node classification.

Fuchuan Xiang, Yao Xiao, Fenglin Cen, Ji Xu

J. Supercomput., April, 2025

Multi-Level Transfer Learning for irregular clinical time series prediction.

Xingwang Li, Fei Teng, Minbo Ma, Zhen Qin, Jinhong Guo, Ji Xu, Tianrui Li

Knowl. Based Syst., 2025

AOGN-CZSL: An Attribute- and Object-Guided Network for Compositional Zero-Shot Learning.

Jing Yang, Xingjiang Ma, Yuankai Wu, Chengjiang Li, Zhidong Su, Ji Xu, Yixiong Feng

Inf. Fusion, 2025

Determinate node selection for semi-supervised classification oriented graph convolutional networks.

Yao Xiao, Ji Xu, Jing Yang, Shaobo Li, Guoyin Wang

Int. J. Bio Inspired Comput., 2025

2024

UAV-Assisted Digital-Twin Synchronization With Tiny-Machine-Learning-Based Semantic Communications.

Jianhang Tang, Jiangtian Nie, Jingpan Bai, Ji Xu, Shaobo Li, Yang Zhang, Yanli Yuan

IEEE Internet Things J., September, 2024

GGT-SNN: Graph learning and Gaussian prior integrated spiking graph neural network for event-driven tactile object recognition.

Jing Yang, Zukun Yu, Shaobo Li, Yang Cao, Jianjun Hu, Ji Xu

Inf. Sci., 2024

Faithful Density-Peaks Clustering via Matrix Computations on MPI Parallelization System.

Ji Xu, Tianlong Xiao, Jinye Yang, Panpan Zhu

CoRR, 2024

Hyp-DAN: Hyperbolic Distance-Aware Attention Networks.

Fuchuan Xiang, Jianhang Tang, Shaobo Li, Guoyin Wang, Ji Xu

Proceedings of the Rough Sets - International Joint Conference, 2024

2023

Long-Tailed Classification Based on Coarse-Grained Leading Forest and Multi-Center Loss.

Jinye Yang, Ji Xu

CoRR, 2023

Determinate Node Selection for Semi-supervised Classification Oriented Graph Convolutional Networks.

Yao Xiao, Ji Xu, Jing Yang, Shaobo Li

CoRR, 2023

2022

IbLT: An effective granular computing framework for hierarchical community detection.

Shun Fu, Guoyin Wang, Ji Xu, Shuyin Xia

J. Intell. Inf. Syst., 2022

Semi-supervised Learning with Deterministic Labeling and Large Margin Projection.

Ji Xu, Gang Ren, Yao Xiao, Shaobo Li, Guoyin Wang

CoRR, 2022

2021

hier2vec: interpretable multi-granular representation learning for hierarchy in social networks.

Shun Fu, Guoyin Wang, Ji Xu

Int. J. Mach. Learn. Cybern., 2021

LaPOLeaF: Label propagation in an optimal leading forest.

Ji Xu, Tianrui Li, Yongming Wu, Guoyin Wang

Inf. Sci., 2021

2018

Local-Density-Based Optimal Granulation and Manifold Information Granule Description.

Ji Xu, Guoyin Wang, Tianrui Li, Witold Pedrycz

IEEE Trans. Cybern., 2018

Self-training semi-supervised classification based on density peaks of data.

Di Wu, Mingsheng Shang, Xin Luo, Ji Xu, Huyong Yan, Weihui Deng, Guoyin Wang

Neurocomputing, 2018

2017

Fat node leading tree for data stream clustering with density peaks.

Ji Xu, Guoyin Wang, Tianrui Li, Weihui Deng, Guanglei Gou

Knowl. Based Syst., 2017

Non-iterative Label Propagation on Optimal Leading Forest.

Ji Xu, Guoyin Wang

CoRR, 2017

2016

DenPEHC: Density peak based efficient hierarchical clustering.

Ji Xu, Guoyin Wang, Weihui Deng

Inf. Sci., 2016

Piecewise two-dimensional normal cloud representation for time-series data mining.

Weihui Deng, Guoyin Wang, Ji Xu

Inf. Sci., 2016

A multi-granularity combined prediction model based on fuzzy trend forecasting and particle swarm techniques.

Weihui Deng, Guoyin Wang, Xuerui Zhang, Ji Xu, Guangdi Li

Neurocomputing, 2016

2015

Leading Tree in DPCLUS and Its Impact on Building Hierarchies.

Ji Xu, Guoyin Wang

CoRR, 2015

Multi-granularity Intelligent Information Processing.

Guoyin Wang, Ji Xu, Qinghua Zhang, Yuchao Liu

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

2014

Granular computing with multiple granular layers for brain big data processing.

Guoyin Wang, Ji Xu

Brain Informatics, 2014