Fuzzy rough approximations for set-valued data. - Wei Wei 018; Junbiao Cui; Jiye Liang; Junhong Wang (Inf. Sci., 2016)

Discernibility matrix based incremental attribute reduction for dynamic data. - Wei Wei 018; Xiaoying Wu; Jiye Liang; Junbiao Cui; Yijun Sun (Knowl. Based Syst., 2018)

Semi-supervised learning with mixed-order graph convolutional networks. - Jie Wang 046; Jianqing Liang; Junbiao Cui; Jiye Liang (Inf. Sci., 2021)

Graph-based semi-supervised learning via improving the quality of the graph dynamically. - Jiye Liang; Junbiao Cui; Jie Wang 046; Wei Wei 018 (Mach. Learn., 2021)

Dual Bidirectional Graph Convolutional Networks for Zero-shot Node Classification. - Qin Yue 002; Jiye Liang; Junbiao Cui; Liang Bai (KDD, 2022)

Fuzzy Learning Machine. - Junbiao Cui; Jiye Liang (NeurIPS, 2022)

A General Representation Learning Framework with Generalization Performance Guarantees. - Junbiao Cui; Jianqing Liang; Qin Yue 002; Jiye Liang (ICML, 2023)

Unsupervised Dimensionality Reduction Based on Fusing Multiple Clustering Results. - Wei Wei 018; Qin Yue 002; Kai Feng; Junbiao Cui; Jiye Liang (IEEE Trans. Knowl. Data Eng., 2023)

A zero-shot learning boosting framework via concept-constrained clustering. - Qin Yue 002; Junbiao Cui; Liang Bai; Jianqing Liang; Jiye Liang (Pattern Recognit., 2024)

Label Noise Correction via Fuzzy Learning Machine. - Jiye Liang; Yixiao Li; Junbiao Cui (AAAI, 2025)

Class Semantic Attribute Perception Guided Zero-Shot Learning. - Qin Yue 002; Junbiao Cui; Jianqing Liang; Liang Bai (AAAI, 2025)

Learning Textual Prompts for Open-World Semi-Supervised Learning. - Yuxin Fan; Junbiao Cui; Jiye Liang (CVPR, 2025)