Junbiao Cui

According to our database, Junbiao Cui authored at least 12 papers between 2016 and 2025.

Collaborative distances:

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

2025

Learning Textual Prompts for Open-World Semi-Supervised Learning.

Yuxin Fan, Junbiao Cui, Jiye Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Class Semantic Attribute Perception Guided Zero-Shot Learning.

Qin Yue, Junbiao Cui, Jianqing Liang, Liang Bai

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Label Noise Correction via Fuzzy Learning Machine.

Jiye Liang, Yixiao Li, Junbiao Cui

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

A zero-shot learning boosting framework via concept-constrained clustering.

Qin Yue, Junbiao Cui, Liang Bai, Jianqing Liang, Jiye Liang

Pattern Recognit., January, 2024

2023

Unsupervised Dimensionality Reduction Based on Fusing Multiple Clustering Results.

Wei Wei, Qin Yue, Kai Feng, Junbiao Cui, Jiye Liang

IEEE Trans. Knowl. Data Eng., March, 2023

A General Representation Learning Framework with Generalization Performance Guarantees.

Junbiao Cui, Jianqing Liang, Qin Yue, Jiye Liang

Proceedings of the International Conference on Machine Learning, 2023

2022

Fuzzy Learning Machine.

Junbiao Cui, Jiye Liang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Dual Bidirectional Graph Convolutional Networks for Zero-shot Node Classification.

Qin Yue, Jiye Liang, Junbiao Cui, Liang Bai

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Graph-based semi-supervised learning via improving the quality of the graph dynamically.

Jiye Liang, Junbiao Cui, Jie Wang, Wei Wei

Mach. Learn., 2021

Semi-supervised learning with mixed-order graph convolutional networks.

Jie Wang, Jianqing Liang, Junbiao Cui, Jiye Liang

Inf. Sci., 2021

2018

Discernibility matrix based incremental attribute reduction for dynamic data.

Wei Wei, Xiaoying Wu, Jiye Liang, Junbiao Cui, Yijun Sun

Knowl. Based Syst., 2018

2016

Fuzzy rough approximations for set-valued data.

Wei Wei, Junbiao Cui, Jiye Liang, Junhong Wang

Inf. Sci., 2016