The Models of Variable Precision Multigranulation Rough Sets. - Huili Dou; Xibei Yang; Jiyue Fan; Suping Xu (RSKT, 2012)

Prediction of protein structural classes by decreasing nearest neighbor error rate. - Suping Xu; Xibei Yang; Xiaoning Song; Hualong Yu (ICMLC, 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)

Neighborhood collaborative classifiers. - Suping Xu; Xibei Yang; Eric C. C. Tsang; Eric Appiah Mantey (ICMLC, 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)

Multi-label learning with label-specific feature reduction. - Suping Xu; Xibei Yang; Hualong Yu; Dong-Jun Yu; Jingyu Yang 001; Eric C. C. Tsang (Knowl. Based Syst., 2016)

Attribute Reduction: An Ensemble Strategy. - Suping Xu; Pingxin Wang; Jinhai Li; Xibei Yang; Xiangjian Chen (IJCRS (1), 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)

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)

Latent Semantics Encoding for Label Distribution Learning. - Suping Xu; Lin Shang 001; Furao Shen (IJCAI, 2019)

Foreground Mask Guided Network for Crowd Counting. - Chun Li; Lin Shang 001; Suping Xu (PRICAI (2), 2019)

Label distribution learning: A local collaborative mechanism. - Suping Xu; Hengrong Ju; Lin Shang 001; Witold Pedrycz; Xibei Yang; Chun Li (Int. J. Approx. Reason., 2020)

Robust supervised rough granular description model with the principle of justifiable granularity. - Hengrong Ju; Weiping Ding 001; Xibei Yang; Hamido Fujita; Suping Xu (Appl. Soft Comput., 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)

Attribute-driven image captioning via soft-switch pointer. - Yujie Zhou; Jiefeng Long; Suping Xu; Lin Shang 001 (Pattern Recognit. Lett., 2021)

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)

A Q-learning approach to attribute reduction. - Yuxin Liu; Zhice Gong; Keyu Liu; Suping Xu; Hengrong Ju; Xibei Yang (Appl. Intell., 2023)

Multi-label learning with Relief-based label-specific feature selection. - Jiadong Zhang; Keyu Liu; Xibei Yang; Hengrong Ju; Suping Xu (Appl. Intell., 2023)

Dual-Channel Fuzzy Interaction Information Fused Feature Selection With Fuzzy Sparse and Shared Granularities. - Hengrong Ju; Xiaoxue Fan; Weiping Ding 001; Jiashuang Huang; Suping Xu; Xibei Yang; Witold Pedrycz (IEEE Trans. Fuzzy Syst., 2024)

Incomplete label distribution learning via label correlation decomposition. - Suping Xu; Lin Shang 001; Furao Shen; Xibei Yang; Witold Pedrycz (Inf. Fusion, 2025)

Class-specific semi-supervised feature selection with fuzzy convex balling information granularity. - Hengrong Ju; Jiarong Li; Weiping Ding 001; Xiaoxue Fan; Jiashuang Huang; Suping Xu; Xibei Yang (Inf. Sci., 2025)

Rethinking Label-specific Features for Label Distribution Learning. - Suping Xu; Chuyi Dai; Lin Shang 001; Changbin Shao; Xibei Yang; Witold Pedrycz (CoRR, 2025)

Margin-aware Fuzzy Rough Feature Selection: Bridging Uncertainty Characterization and Pattern Classification. - Suping Xu; Lin Shang 001; Keyu Liu; Hengrong Ju; Xibei Yang; Witold Pedrycz (CoRR, 2025)