Multi-view metric learning based on KL-divergence for similarity measurement. - Huibing Wang; Lin Feng 001; Xiangzhu Meng; Zhaofeng Chen; Laihang Yu; Hongwei Zhang (Neurocomputing, 2017)

Scatter Balance based Semi-supervised Dimensional Reduction. - Rui Yang 023; Xiangzhu Meng; Lin Feng 001 (SmartIoT, 2020)

Multi-view Locality Low-rank Embedding for Dimension Reduction. - Lin Feng 001; Xiangzhu Meng; Huibing Wang (Knowl. Based Syst., 2020)

The similarity-consensus regularized multi-view learning for dimension reduction. - Xiangzhu Meng; Huibing Wang; Lin Feng 001 (Knowl. Based Syst., 2020)

A unified framework based on graph consensus term for multi-view learning. - Xiangzhu Meng; Lin Feng 001; Chonghui Guo (CoRR, 2021)

Locality Relationship Constrained Multi-view Clustering Framework. - Xiangzhu Meng; Wei Wei; Wenzhe Liu (CoRR, 2021)

Multi-view Low-rank Preserving Embedding: A novel method for multi-view representation. - Xiangzhu Meng; Lin Feng 001; Huibing Wang (Eng. Appl. Artif. Intell., 2021)

Re-weighted multi-view clustering via triplex regularized non-negative matrix factorization. - Lin Feng 001; Wenzhe Liu; Xiangzhu Meng; Yong Zhang 030 (Neurocomputing, 2021)

Secrecy performance of terahertz wireless links in rain and snow. - Rong Wang; Yu Mei; Xiangzhu Meng; Jianjun Ma (Nano Commun. Networks, 2021)

Hierarchical multi-view metric learning with HSIC regularization. - Huiyuan Deng; Xiangzhu Meng; Huibing Wang; Lin Feng 001 (Neurocomputing, 2022)

Multiview clustering via nonnegative matrix factorization based on graph agreement. - Chengfeng Zhang; Wenjun Fu; Guanglong Wang; Lei Shi; Xiangzhu Meng (J. Electronic Imaging, 2022)

Multimodal-aware weakly supervised metric learning with self-weighting triplet loss. - Huiyuan Deng; Xiangzhu Meng; Lin Feng 001 (Multim. Tools Appl., 2022)

Theoretical Study on Recognition of Icy Road Surface Condition by Low-Terahertz Frequencies. - Xiangzhu Meng; Peian Li; Yuning Hu; Fei Song 001; Jianjun Ma (IEEE Trans. Geosci. Remote. Sens., 2022)

TiBGL: Template-induced Brain Graph Learning for Functional Neuroimaging Analysis. - Xiangzhu Meng; Wei Wei; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2023)

TCGF: A unified tensorized consensus graph framework for multi-view representation learning. - Xiangzhu Meng; Wei Wei; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2023)

UNIT: A unified metric learning framework based on maximum entropy regularization. - Huiyuan Deng; Xiangzhu Meng; Fengxia Deng; Lin Feng 001 (Appl. Intell., 2023)

FedBrain: A robust multi-site brain network analysis framework based on federated learning for brain disease diagnosis. - Chang Zhang; Xiangzhu Meng; Qiang Liu 006; Shu Wu; Liang Wang 001; Huansheng Ning (Neurocomputing, 2023)

OPM2L: An optimal instance partition-based multi-metric learning method for heterogeneous dataset classification. - Huiyuan Deng; Xiangzhu Meng; Huibing Wang; Lin Feng 001 (Inf. Sci., 2023)

Waveguide Eavesdropping Threat for Terahertz Wireless Communications. - Wenbo Liu; Peian Li; Xiangzhu Meng; Liangbin Zhao; Yige Qiao; Xiang Gao 013; Jianjun Ma; Houjun Sun (IEEE Commun. Mag., 2024)

CvFormer: Cross-view transFormers with pre-training for fMRI analysis of human brain. - Xiangzhu Meng; Wei Wei 064; Qiang Liu; Yu Wang; Min Li; Liang Wang (Pattern Recognit. Lett., 2024)

A Unified Framework Based on Graph Consensus Term for Multiview Learning. - Xiangzhu Meng; Lin Feng 001; Chonghui Guo; Huibing Wang; Shu Wu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Rodar: Robust Gesture Recognition Based on mmWave Radar Under Human Activity Interference. - Can Jin; Xiangzhu Meng; Xuanheng Li; Jie Wang 003; Miao Pan; Yuguang Fang (IEEE Trans. Mob. Comput., 2024)