Junbiao Cui - researchr alias

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Viewing Publication 1 - 9 from 9

2024

A zero-shot learning boosting framework via concept-constrained clusteringQin Yue, Junbiao Cui, Liang Bai, Jianqing Liang, Jiye Liang. PR, 145:109937, January 2024. [doi]

2023

Unsupervised Dimensionality Reduction Based on Fusing Multiple Clustering ResultsWei Wei 0018, Qin Yue, Kai-Feng, Junbiao Cui, Jiye Liang. tkde, 35(3):3211-3223, March 2023. [doi]

A General Representation Learning Framework with Generalization Performance GuaranteesJunbiao Cui, Jianqing Liang, Qin Yue, Jiye Liang. icml 2023: 6522-6544 [doi]

2022

Fuzzy Learning MachineJunbiao Cui, Jiye Liang. nips 2022: [doi]

Dual Bidirectional Graph Convolutional Networks for Zero-shot Node ClassificationQin Yue, Jiye Liang, Junbiao Cui, Liang Bai. kdd 2022: 2408-2417 [doi]

2021

Graph-based semi-supervised learning via improving the quality of the graph dynamicallyJiye Liang, Junbiao Cui, Jie Wang, Wei Wei 0018. ml, 110(6):1345-1388, 2021. [doi]

Semi-supervised learning with mixed-order graph convolutional networksJie Wang, Jianqing Liang, Junbiao Cui, Jiye Liang. isci, 573:171-181, 2021. [doi]

2018

Discernibility matrix based incremental attribute reduction for dynamic dataWei Wei, Xiaoying Wu, Jiye Liang, Junbiao Cui, Yijun Sun. kbs, 140:142-157, 2018. [doi]

2016

Fuzzy rough approximations for set-valued dataWei Wei, Junbiao Cui, Jiye Liang, Junhong Wang. isci, 360:181-201, 2016. [doi]

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