A Framework for Clustering Categorical Time-Evolving Data. - Fuyuan Cao; Jiye Liang; Liang Bai 001; Xingwang Zhao 001; Chuangyin Dang (IEEE Trans. Fuzzy Syst., 2010)

Determining the number of clusters using information entropy for mixed data. - Jiye Liang; Xingwang Zhao 001; Deyu Li 001; Fuyuan Cao; Chuangyin Dang (Pattern Recognit., 2012)

A weighting k-modes algorithm for subspace clustering of categorical data. - Fuyuan Cao; Jiye Liang; Deyu Li 001; Xingwang Zhao 001 (Neurocomputing, 2013)

A simple and effective outlier detection algorithm for categorical data. - Xingwang Zhao 001; Jiye Liang; Fuyuan Cao (Int. J. Mach. Learn. Cybern., 2014)

An efficient instance selection algorithm for k nearest neighbor regression. - Yunsheng Song; Jiye Liang; Jing Lu; Xingwang Zhao 001 (Neurocomputing, 2017)

Clustering ensemble selection for categorical data based on internal validity indices. - Xingwang Zhao 001; Jiye Liang; Chuangyin Dang (Pattern Recognit., 2017)

A sequential ensemble clusterings generation algorithm for mixed data. - Xingwang Zhao 001; Fuyuan Cao; Jiye Liang (Appl. Math. Comput., 2018)

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). - Xingwang Zhao 001; Jiye Liang; Lanjie Guo (计算机科学, 2018)

An Algorithm for Clustering Categorical Data With Set-Valued Features. - Fuyuan Cao; Joshua Zhexue Huang; Jiye Liang; Xingwang Zhao 001; Yinfeng Meng; Kai Feng; Yuhua Qian (IEEE Trans. Neural Networks Learn. Syst., 2018)

Protein complex detection algorithm based on multiple topological characteristics in PPI networks. - Jie Wang 046; Jiye Liang; Wenping Zheng; Xingwang Zhao 001; Junfang Mu (Inf. Sci., 2019)

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). - Jie Wang 046; Jiye Liang; Xingwang Zhao 001; Wenping Zheng (计算机科学, 2019)

A stratified sampling based clustering algorithm for large-scale data. - Xingwang Zhao 001; Jiye Liang; Chuangyin Dang (Knowl. Based Syst., 2019)

Combining attribute content and label information for categorical data ensemble clustering. - Liqin Yu; Fuyuan Cao; Xingwang Zhao 001; Xiaodan Yang; Jiye Liang (Appl. Math. Comput., 2020)

A community detection algorithm based on graph compression for large-scale social networks. - Xingwang Zhao 001; Jiye Liang; Jie Wang 046 (Inf. Sci., 2021)

A Bayesian matrix factorization model for dynamic user embedding in recommender system. - Kaihan Zhang; Zhiqiang Wang 005; Jiye Liang; Xingwang Zhao 001 (Frontiers Comput. Sci., 2022)

Multi-view clustering via dynamic unified bipartite graph learning. - Xingwang Zhao 001; Shujun Wang; Xiaolin Liu; Jiye Liang (Pattern Recognit., 2024)

Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation. - Zhiqiang Wang 005; Jiayi Pan 006; Xingwang Zhao 001; Jianqing Liang; Chenjiao Feng; Kaixuan Yao (AAAI, 2025)

Uncertainty-guided Graph Contrastive Learning from a Unified Perspective. - Zhiqiang Li; Jie Wang 046; Jianqing Liang; Junbiao Cui; Xingwang Zhao 001; Jiye Liang (IJCAI, 2025)

Dynamic Graph Neural Network with Motif Reconstruction. - Zhiqiang Wang 005; Baijing Hu; Xingwang Zhao 001; Yajun Lin; Yuqi Wang (IJCNN, 2025)

Multilayer Graph Clustering with Lightweight Contrastive Learning. - Wentao Li; Xingwang Zhao 001; Zhiqiang Wang 005 (ICMR, 2025)

Time-varying Interaction Graph ODE for Dynamic Graph Representation Learning. - Xiaoyi Wang; Zhiqiang Wang 005; Jianqing Liang; Xingwang Zhao 001; Chuangyin Dang; Zhen Jin 001; Jiye Liang (CoRR, 2026)