Suping Xu

According to our database, Suping Xu authored at least 21 papers between 2012 and 2025.

Collaborative distances:

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

2025

Class-specific semi-supervised feature selection with fuzzy convex balling information granularity.

Hengrong Ju, Jiarong Li, Weiping Ding, Xiaoxue Fan, Jiashuang Huang, Suping Xu, Xibei Yang

Inf. Sci., 2025

Incomplete label distribution learning via label correlation decomposition.

Suping Xu, Lin Shang, Furao Shen, Xibei Yang, Witold Pedrycz

Inf. Fusion, 2025

2024

Dual-Channel Fuzzy Interaction Information Fused Feature Selection With Fuzzy Sparse and Shared Granularities.

Hengrong Ju, Xiaoxue Fan, Weiping Ding, Jiashuang Huang, Suping Xu, Xibei Yang, Witold Pedrycz

IEEE Trans. Fuzzy Syst., November, 2024

2023

Multi-label learning with Relief-based label-specific feature selection.

Jiadong Zhang, Keyu Liu, Xibei Yang, Hengrong Ju, Suping Xu

Appl. Intell., August, 2023

A Q-learning approach to attribute reduction.

Yuxin Liu, Zhice Gong, Keyu Liu, Suping Xu, Hengrong Ju, Xibei Yang

Appl. Intell., February, 2023

2022

Triple-G: a new MGRS and attribute reduction.

Jing Ba, Keyu Liu, Hengrong Ju, Suping Xu, Taihua Xu, Xibei Yang

Int. J. Mach. Learn. Cybern., 2022

2021

Attribute-driven image captioning via soft-switch pointer.

Yujie Zhou, Jiefeng Long, Suping Xu, Lin Shang

Pattern Recognit. Lett., 2021

Research on Comprehensive Evaluation of Data Source Quality in Big Data Environment.

Wenquan Li, Suping Xu, Xindong Peng

Int. J. Comput. Intell. Syst., 2021

Robust supervised rough granular description model with the principle of justifiable granularity.

Hengrong Ju, Weiping Ding, Xibei Yang, Hamido Fujita, Suping Xu

Appl. Soft Comput., 2021

2020

Label distribution learning: A local collaborative mechanism.

Suping Xu, Hengrong Ju, Lin Shang, Witold Pedrycz, Xibei Yang, Chun Li

Int. J. Approx. Reason., 2020

2019

Foreground Mask Guided Network for Crowd Counting.

Chun Li, Lin Shang, Suping Xu

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Latent Semantics Encoding for Label Distribution Learning.

Suping Xu, Lin Shang, Furao Shen

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2017

一种基于邻域协同表达的分类方法 (Neighborhood Collaborative Representation Based Classification Method).

Suping Xu, Xibei Yang, Hualong Yu, Dongjun Yu

计算机科学, 2017

Multigranulation rough set: A multiset based strategy.

Xibei Yang, Suping Xu, Huili Dou, Xiaoning Song, Hualong Yu, Jingyu Yang

Int. J. Comput. Intell. Syst., 2017

Attribute Reduction: An Ensemble Strategy.

Suping Xu, Pingxin Wang, Jinhai Li, Xibei Yang, Xiangjian Chen

Proceedings of the Rough Sets - International Joint Conference, 2017

2016

Multi-label learning with label-specific feature reduction.

Suping Xu, Xibei Yang, Hualong Yu, Dong-Jun Yu, Jingyu Yang, Eric C. C. Tsang

Knowl. Based Syst., 2016

基于样本选择的启发式属性约简方法研究 (New Heuristic Attribute Reduction Algorithm Based on Sample Selection).

Xibei Yang, Xu Yan, Suping Xu, Hualong Yu

计算机科学, 2016

Neighborhood collaborative classifiers.

Suping Xu, Xibei Yang, Eric C. C. Tsang, Eric Appiah Mantey

Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

2015

Sparse auto-encoder based feature learning for human body detection in depth image.

Songzhi Su, Zhi-Hui Liu, Suping Xu, Shaozi Li, Rongrong Ji

Signal Process., 2015

Prediction of protein structural classes by decreasing nearest neighbor error rate.

Suping Xu, Xibei Yang, Xiaoning Song, Hualong Yu

Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

2012

The Models of Variable Precision Multigranulation Rough Sets.

Huili Dou, Xibei Yang, Jiyue Fan, Suping Xu

Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012