Granular computing with multiple granular layers for brain big data processing. - Guoyin Wang 001; Ji Xu 001 (Brain Informatics, 2014)

Multi-granularity Intelligent Information Processing. - Guoyin Wang 001; Ji Xu 001; Qinghua Zhang 001; Yuchao Liu (RSFDGrC, 2015)

Leading Tree in DPCLUS and Its Impact on Building Hierarchies. - Ji Xu 001; Guoyin Wang 001 (CoRR, 2015)

A multi-granularity combined prediction model based on fuzzy trend forecasting and particle swarm techniques. - Weihui Deng; Guoyin Wang 001; Xuerui Zhang; Ji Xu 001; Guangdi Li (Neurocomputing, 2016)

Piecewise two-dimensional normal cloud representation for time-series data mining. - Weihui Deng; Guoyin Wang 001; Ji Xu 001 (Inf. Sci., 2016)

DenPEHC: Density peak based efficient hierarchical clustering. - Ji Xu 001; Guoyin Wang 001; Weihui Deng (Inf. Sci., 2016)

Non-iterative Label Propagation on Optimal Leading Forest. - Ji Xu 001; Guoyin Wang 001 (CoRR, 2017)

Fat node leading tree for data stream clustering with density peaks. - Ji Xu 001; Guoyin Wang 001; Tianrui Li 001; Weihui Deng; Guanglei Gou (Knowl. Based Syst., 2017)

Self-training semi-supervised classification based on density peaks of data. - Di Wu 056; Mingsheng Shang 001; Xin Luo 001; Ji Xu 001; Huyong Yan; Weihui Deng; Guoyin Wang 001 (Neurocomputing, 2018)

Local-Density-Based Optimal Granulation and Manifold Information Granule Description. - Ji Xu 001; Guoyin Wang 001; Tianrui Li 001; Witold Pedrycz (IEEE Trans. Cybern., 2018)

LaPOLeaF: Label propagation in an optimal leading forest. - Ji Xu 001; Tianrui Li 001; Yongming Wu; Guoyin Wang 001 (Inf. Sci., 2021)

hier2vec: interpretable multi-granular representation learning for hierarchy in social networks. - Shun Fu; Guoyin Wang 001; Ji Xu 001 (Int. J. Mach. Learn. Cybern., 2021)

Semi-supervised Learning with Deterministic Labeling and Large Margin Projection. - Ji Xu 001; Gang Ren; Yao Xiao; Shaobo Li 001; Guoyin Wang 001 (CoRR, 2022)

IbLT: An effective granular computing framework for hierarchical community detection. - Shun Fu; Guoyin Wang 001; Ji Xu 001; Shuyin Xia (J. Intell. Inf. Syst., 2022)

Determinate Node Selection for Semi-supervised Classification Oriented Graph Convolutional Networks. - Yao Xiao; Ji Xu 001; Jing Yang 017; Shaobo Li 001 (CoRR, 2023)

Long-Tailed Classification Based on Coarse-Grained Leading Forest and Multi-Center Loss. - Jinye Yang; Ji Xu 001 (CoRR, 2023)

Hyp-DAN: Hyperbolic Distance-Aware Attention Networks. - Fuchuan Xiang; Jianhang Tang; Shaobo Li 001; Guoyin Wang 001; Ji Xu 001 (IJCRS (1), 2024)

Faithful Density-Peaks Clustering via Matrix Computations on MPI Parallelization System. - Ji Xu 001; Tianlong Xiao; Jinye Yang; Panpan Zhu (CoRR, 2024)

GGT-SNN: Graph learning and Gaussian prior integrated spiking graph neural network for event-driven tactile object recognition. - Jing Yang 017; Zukun Yu; Shaobo Li 001; Yang Cao; Jianjun Hu; Ji Xu 001 (Inf. Sci., 2024)

UAV-Assisted Digital-Twin Synchronization With Tiny-Machine-Learning-Based Semantic Communications. - Jianhang Tang; Jiangtian Nie; Jingpan Bai; Ji Xu 001; Shaobo Li 001; Yang Zhang 025; Yanli Yuan (IEEE Internet Things J., 2024)

Determinate node selection for semi-supervised classification oriented graph convolutional networks. - Yao Xiao; Ji Xu 001; Jing Yang 017; Shaobo Li 001; Guoyin Wang 001 (Int. J. Bio Inspired Comput., 2025)

AOGN-CZSL: An Attribute- and Object-Guided Network for Compositional Zero-Shot Learning. - Jing Yang 017; Xingjiang Ma; Yuankai Wu; Chengjiang Li; Zhidong Su; Ji Xu 001; Yixiong Feng (Inf. Fusion, 2025)

Multi-Level Transfer Learning for irregular clinical time series prediction. - Xingwang Li; Fei Teng 001; Minbo Ma; Zhen Qin; Jinhong Guo; Ji Xu 001; Tianrui Li 001 (Knowl. Based Syst., 2025)

SLRNode: node similarity-based leading relationship representation layer in graph neural networks for node classification. - Fuchuan Xiang; Yao Xiao; Fenglin Cen; Ji Xu 001 (J. Supercomput., 2025)

Selecting Central and Divergent Samples via Leading Tree Metric Space for Semisupervised Learning. - Ji Xu 001; Gang Ren; Jianhang Tang; Weiping Ding 001; Guoyin Wang 001 (IEEE Trans. Fuzzy Syst., 2025)

Long-Tailed Classification Based on Coarse-Grained Leading Forest and Multi-Center Loss. - Jinye Yang; Ji Xu 001; Di Wu 056; Jianhang Tang; Shaobo Li 001; Guoyin Wang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)