Unsupervised Feature Selection via Local Structure Learning and Self-Representation. - Shichao Zhang 001; Cong Lei; Yue Fang; Yangding Li; Rongyao Hu; Xiaoyi Hu (ICBK, 2017)

Unsupervised Spectral Feature Selection with Local Structure Learning. - Shichao Zhang 001; Yue Fang; Cong Lei; Yangding Li; Rongyao Hu; Yonggang Li (ICBK, 2017)

一种基于SimRank得分的谱聚类算法 (Spectral Clustering Algorithm Based on SimRank Score). - Pengqing Li; Yangding Li; Xuelian Deng; Yonggang Li; Yue Fang (计算机科学, 2018)

Hypergraph expressing low-rank feature selection algorithm. - Yue Fang; Yangding Li; Cong Lei; Yonggang Li; Xuelian Deng (Multim. Tools Appl., 2018)

Abnormal frontostriatal tracts in young male tobacco smokers. - Kai Yuan; Dahua Yu; Meng Zhao; Min Li; Ruonan Wang; Yangding Li; Peter Manza; Ehsan Shokri-Kojori; Corinde E. Wiers; Gene-Jack Wang; Jie Tian 001 (NeuroImage, 2018)

Unsupervised feature selection by combining subspace learning with feature self-representation. - Yangding Li; Cong Lei; Yue Fang; Rongyao Hu; Yonggang Li; Shichao Zhang 001 (Pattern Recognit. Lett., 2018)

Feature selection via kernel sparse representation. - Zhizheng Lv; Yangding Li; Jieye Li (SSCI, 2019)

Nonlinear sparse feature selection algorithm via low matrix rank constraint. - Leyuan Zhang; Yangding Li; Jilian Zhang; Pengqing Li; Jiaye Li 001 (Multim. Tools Appl., 2019)

Spectral clustering algorithm combining local covariance matrix with normalization. - Tingting Du; Guoqiu Wen; Zhiguo Cai; Wei Zheng; Malong Tan; Yangding Li (Neural Comput. Appl., 2020)

Local Structure Preservation for Nonlinear Clustering. - Linjun Chen; Guangquan Lu; Yangding Li; Jiaye Li 001; Malong Tan (Neural Process. Lett., 2020)

One-step spectral clustering based on self-paced learning. - Tao Tong; Jiangzhang Gan; Guoqiu Wen; Yangding Li (Pattern Recognit. Lett., 2020)

Adaptive Graph Learning for Semi-supervised Classification of GCNs. - Yingying Wan; Mengmeng Zhan; Yangding Li (ADC, 2021)

Multi-Graph Based Hierarchical Semantic Fusion for Cross-Modal Representation. - Lei Zhu 005; Chengyuan Zhang 001; Jiayu Song; Liangchen Liu; Shichao Zhang 001; Yangding Li (ICME, 2021)

Adaptive Cross-stitch Graph Convolutional Networks. - Zehui Hu; Zidong Su; Yangding Li; Junbo Ma (MMAsia, 2021)

Hierarchical Graph Representation Learning with Local Capsule Pooling. - Zidong Su; Zehui Hu; Yangding Li (MMAsia, 2021)

Chinese medical dialogue information extraction via contrastive multi-utterance inference. - Jianhua Dai; Chao Jiang; Ruoyao Peng; Daojian Zeng; Yangding Li (Briefings Bioinform., 2022)

CSDM: A context-sensitive deep matching model for medical dialogue information extraction. - Daojian Zeng; Ruoyao Peng; Chao Jiang; Yangding Li; Jianhua Dai (Inf. Sci., 2022)

A Robust Cost-Sensitive Feature Selection Via Self-Paced Learning Regularization. - Yangding Li; Chaoqun Ma; Yiling Tao; Zehui Hu; Zidong Su; Meiling Liu (Neural Process. Lett., 2022)

Semi-supervised Learning with Graph Convolutional Networks Based on Hypergraph. - Yangding Li; Yingying Wan; Xingyi Liu (Neural Process. Lett., 2022)

PPIS-JOIN: A Novel Privacy-Preserving Image Similarity Join Method. - Chengyuan Zhang 001; Fangxin Xie; Hao Yu; Jianfeng Zhang; Lei Zhu 005; Yangding Li (Neural Process. Lett., 2022)

Self-Adaptive Clustering of Dynamic Multi-Graph Learning. - Bo Zhou; Yangding Li; Xincheng Huang; Jiaye Li 001 (Neural Process. Lett., 2022)

Reachable Distance Function for KNN Classification. - Shichao Zhang 001; Jiaye Li 001; Yangding Li (IEEE Trans. Knowl. Data Eng., 2023)

Centrality-based Relation aware Heterogeneous Graph Neural Network. - Yangding Li; Shaobin Fu; Yangyang Zeng; Hao Feng; Ruoyao Peng; Jinghao Wang; Shichao Zhang 001 (Knowl. Based Syst., 2024)

Quantum Support Vector Machine for Classifying Noisy Data. - Jiaye Li 001; Yangding Li; Jiagang Song; Jian Zhang 048; Shichao Zhang 001 (IEEE Trans. Computers, 2024)

MvHAAN: multi-view hierarchical attention adversarial network for person re-identification. - Lei Zhu; Weiren Yu; Xinghui Zhu; Chengyuan Zhang; Yangding Li; Shichao Zhang (World Wide Web (WWW), 2024)

GNN-transformer contrastive learning explores homophily. - Yangding Li; Yangyang Zeng; Xiangchao Zhao; Jiawei Chai; Hao Feng; Shaobin Fu; Cui Ye; Shichao Zhang 001 (Inf. Process. Manag., 2025)

Node transfer with graph contrastive learning for class-imbalanced node classification. - Yangding Li; Xiangchao Zhao; Yangyang Zeng; Hao Feng; Jiawei Chai; Hao Xie; Shaobin Fu; Shichao Zhang 001 (Neural Networks, 2025)

Label-Specific Multilabel Feature Selection Based on Fuzzy Implication Granularity Information. - Yangding Li; Hao Xie; Jianhua Dai (IEEE Trans. Fuzzy Syst., 2025)

Light disentangled graph learning for social recommendation. - Yangding Li; Hao Feng; Yangyang Zeng; Xiangchao Zhao; Jiawei Chai; Shaobin Fu; Cui Ye; Shichao Zhang 001 (World Wide Web (WWW), 2025)