Xiangzhu Meng

According to our database, Xiangzhu Meng authored at least 22 papers between 2017 and 2024.

Collaborative distances:

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

2024

Rodar: Robust Gesture Recognition Based on mmWave Radar Under Human Activity Interference.

Can Jin, Xiangzhu Meng, Xuanheng Li, Jie Wang, Miao Pan, Yuguang Fang

IEEE Trans. Mob. Comput., December, 2024

A Unified Framework Based on Graph Consensus Term for Multiview Learning.

Xiangzhu Meng, Lin Feng, Chonghui Guo, Huibing Wang, Shu Wu

IEEE Trans. Neural Networks Learn. Syst., March, 2024

CvFormer: Cross-view transFormers with pre-training for fMRI analysis of human brain.

Xiangzhu Meng, Wei Wei, Qiang Liu, Yu Wang, Min Li, Liang Wang

Pattern Recognit. Lett., 2024

Waveguide Eavesdropping Threat for Terahertz Wireless Communications.

Wenbo Liu, Peian Li, Xiangzhu Meng, Liangbin Zhao, Yige Qiao, Xiang Gao, Jianjun Ma, Houjun Sun

IEEE Commun. Mag., 2024

2023

OPM²L: An optimal instance partition-based multi-metric learning method for heterogeneous dataset classification.

Huiyuan Deng, Xiangzhu Meng, Huibing Wang, Lin Feng

Inf. Sci., November, 2023

FedBrain: A robust multi-site brain network analysis framework based on federated learning for brain disease diagnosis.

Chang Zhang, Xiangzhu Meng, Qiang Liu, Shu Wu, Liang Wang, Huansheng Ning

Neurocomputing, November, 2023

UNIT: A unified metric learning framework based on maximum entropy regularization.

Huiyuan Deng, Xiangzhu Meng, Fengxia Deng, Lin Feng

Appl. Intell., October, 2023

TCGF: A unified tensorized consensus graph framework for multi-view representation learning.

Xiangzhu Meng, Wei Wei, Qiang Liu, Shu Wu, Liang Wang

CoRR, 2023

TiBGL: Template-induced Brain Graph Learning for Functional Neuroimaging Analysis.

Xiangzhu Meng, Wei Wei, Qiang Liu, Shu Wu, Liang Wang

CoRR, 2023

2022

Theoretical Study on Recognition of Icy Road Surface Condition by Low-Terahertz Frequencies.

Xiangzhu Meng, Peian Li, Yuning Hu, Fei Song, Jianjun Ma

IEEE Trans. Geosci. Remote. Sens., 2022

Multimodal-aware weakly supervised metric learning with self-weighting triplet loss.

Huiyuan Deng, Xiangzhu Meng, Lin Feng

Multim. Tools Appl., 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

Hierarchical multi-view metric learning with HSIC regularization.

Huiyuan Deng, Xiangzhu Meng, Huibing Wang, Lin Feng

Neurocomputing, 2022

2021

Secrecy performance of terahertz wireless links in rain and snow.

Rong Wang, Yu Mei, Xiangzhu Meng, Jianjun Ma

Nano Commun. Networks, 2021

Re-weighted multi-view clustering via triplex regularized non-negative matrix factorization.

Lin Feng, Wenzhe Liu, Xiangzhu Meng, Yong Zhang

Neurocomputing, 2021

Multi-view Low-rank Preserving Embedding: A novel method for multi-view representation.

Xiangzhu Meng, Lin Feng, Huibing Wang

Eng. Appl. Artif. Intell., 2021

Locality Relationship Constrained Multi-view Clustering Framework.

Xiangzhu Meng, Wei Wei, Wenzhe Liu

CoRR, 2021

A unified framework based on graph consensus term for multi-view learning.

Xiangzhu Meng, Lin Feng, Chonghui Guo

CoRR, 2021

2020

The similarity-consensus regularized multi-view learning for dimension reduction.

Xiangzhu Meng, Huibing Wang, Lin Feng

Knowl. Based Syst., 2020

Multi-view Locality Low-rank Embedding for Dimension Reduction.

Lin Feng, Xiangzhu Meng, Huibing Wang

Knowl. Based Syst., 2020

Scatter Balance based Semi-supervised Dimensional Reduction.

Rui Yang, Xiangzhu Meng, Lin Feng

Proceedings of the 2020 IEEE International Conference on Smart Internet of Things, 2020

2017

Multi-view metric learning based on KL-divergence for similarity measurement.

Huibing Wang, Lin Feng, Xiangzhu Meng, Zhaofeng Chen, Laihang Yu, Hongwei Zhang

Neurocomputing, 2017