郑晓｜湖北工业大学｜学者主页

2026

Task-Aware Information Decoupling for Multimodal Clustering

Zixiao Jin, Xiao Zheng, Chang Tang, Chuankun Li, Yuanyuan Liu, Xinwang Liu

IEEE Transactions on Knowledge and Data Engineering

DOI

2026

Spatially Resolved Transcriptomics Data Clustering With Modality Conflict Modulation

Yuang Xiao, Zhenglai Li, Xiao Zheng, Chang Tang, Kun Sun, Xinwang Liu

IEEE Transactions on Emerging Topics in Computational Intelligence

DOI

2026

Game Theory Inspired Cross-View Interaction Alignment for Partially View-Aligned Clustering

Shanghui Deng, Xiao Zheng, Chang Tang, Lianbo Guo, Xinwang Liu

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2026

Cross-level interaction and multi-granularity contrastive learning for multi-view clustering

Shanghui Deng, Chang Tang, Xiao Zheng, Yuanyuan Liu, Kun Sun, Xinwang Liu

Science China Information Sciences

DOI

2026

Disagreement-Aware Multi-View Clustering with Permutation-Aligned Anchor Graphs

Xiao Zheng, Miaomiao Li, Chuan Tang, Jun Wang, Renxiang Guan, Chang Tang, En Zhu, Xinwang Liu

IEEE Transactions on Circuits and Systems for Video Technology

DOI

2025

基于视频描述增强和双流特征融合的视频异常检测方法

郑晓，陈鹤，周东傲，宫永顺

《山东大学学报(工学版)》

2025

Find True Collaborators: Banzhaf Index-based Cross View Alignment for Partially View-aligned Clustering

Shanghui Deng, Xiao Zheng, Chang Tang, Kun Sun, Yuanyuan Liu, Xinwang Liu

ACM International Conference on Multimedia (ACM MM)

DOI

2025

scSPAF: Cell Similarity Purified Adaptive Fusion Network for Single-Cell Multi-Omics Clustering

Shanghui Deng, Xiao Zheng, Chang Tang, Xinwang Liu, Yuanyuan Liu, Shan An

IEEE Transactions on Computational Biology and Bioinformatics

DOI

2025

Spatially Resolved Transcriptomics Data Clustering with Tailored Spatial-scale Modulation

Yuang Xiao, Yanran Zhu, Chang Tang, Xiao Zheng, Yuanyuan Liu, Kun Sun, Xinwang Liu

International Joint Conference on Artificial Intelligence

DOI

2025

LRGR: Self-Supervised Incomplete Multi-View Clustering via Local Refinement and Global Realignment

Yanwanyu Xi, Xiao Zheng, Chang Tang, Xingchen Hu, Yuanyuan Liu, Junjie Huang, Xinwang Liu

International Joint Conference on Artificial Intelligence

DOI

2025

Mutual Calibration Network for Multi-View Clustering

Yuang Xiao, Chang Tang, Xiao Zheng, Weiqing Yan, Yuanyuan Liu, Xinwang Liu

IEEE Transactions on Circuits and Systems for Video Technology

DOI

2025

Contrastive Representation Learning for Cross-Domain Blood Cell Image Classification With Denoising Mechanism

Renyu Fu, Xiao Zheng, Hua Zhou, Chengfu Ji, Sen Xiang, Guanghui Yue, Tianyi Wang, Chang Tang

IEEE Journal of Biomedical and Health Informatics

DOI

2025

BMCST: Balanced multi-view clustering for spatially resolved transcriptomics with Mamba-driven dynamic feature refinement

Yanran Zhu, Xiao Zheng, Xiao He, Xin Guo Zou, Pei-hong Wang, Chang Tang, Xinwang Liu, Kunlun He

Information Fusion

DOI

2025

DD-HGNN$^+$: Drug-Disease Association Prediction via General Hypergraph Neural Network With Hierarchical Contrastive Learning and Cross Attention Learning

Zixiao Jin, Xiao Zheng, Hua Zhou, Chengfu Ji, Sen Xiang, Chang Tang

IEEE Journal of Biomedical and Health Informatics

DOI

2025

SparseMVC: Probing Cross-view Sparsity Variations for Multi-view Clustering

Ruimeng Liu, Xin Zou, Chang Tang, Xiao Zheng, Xingchen Hu, Kun Sun, Xinwang Liu

neural information processing systems

DOI

2025

Discriminative Binary Multi-View Clustering

Yunning You, Chang Tang, Xiao Zheng, Xin-Wang Liu, Yuan-Yuan Liu, Xianju Li, Liang Jiang

Journal of Computational Science and Technology

DOI

2025

PolyMamba: Spatial-Prior Guided Mamba for Polyp Segmentation with High-Frequency Enhancement

Renyu Fu, Shu-Rui Hu, Xiao Zheng, Chang Tang, Xin-Wang Liu

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2024

基于卷积神经网络的中草药识别算法研究

郭灿璨，朱玉祥，张俊明，郑晓

《中医药信息》

2024

Fast Approximated Multiple Kernel K-Means

Jun Wang, Chang Tang, Xiao Zheng, Xin-Wang Liu, Wei Zhang, En Zhu, Xin-Zhong Zhu

IEEE Transactions on Knowledge and Data Engineering

DOI

2024

Global Context Relation-Guided Feature Aggregation Network for Salient Object Detection in Optical Remote Sensing Images

Jian Li, Chuankun Li, Xiao Zheng, Xin-Wang Liu, Chang Tang

Remote Sensing

DOI

2023

DPNET: Dynamic Poly-attention Network for Trustworthy Multi-modal Classification

Xin Zou, Chang Tang, Xiao Zheng, Zhenglai Li, Xiao He, Shan An, Xin-Wang Liu

ACM Multimedia

DOI

2023

Inclusivity induced adaptive graph learning for multi-view clustering

Xin Zou, Chang Tang, Xiao Zheng, Kun Sun, Wei Zhang, De-Qiong Ding

Knowledge-Based Systems

DOI

2023

Unsupervised feature selection via multiple graph fusion and feature weight learning

Chang Tang, Xiao Zheng, Wei Zhang, Xin-Wang Liu, Xinzhong Zhu, En Zhu

Science China Information Sciences

DOI

2023

Predicting miRNA-disease association via graph attention learning and multiplex adaptive modality fusion

Zixiao Jin, Minhui Wang, Chang Tang, Xiao Zheng, Wen Zhang, Xiaofeng Sha, Shan An

Comput. Biol. Medicine

DOI

2023

Spatial and Spectral Structure Preserved Self-Representation for Unsupervised Hyperspectral Band Selection

Chang Tang, Jun Wang, Xiao Zheng, Xin-Wang Liu, Wei-Ying Xie, Xianju Li, Xin-Zhong Zhu

IEEE Transactions on Geoscience and Remote Sensing

DOI

2023

Adaptive Discriminative Regions Learning Network for Remote Sensing Scene Classification

Chuan Tang, Xiao Zheng, Chang Tang

Italian National Conference on Sensors

DOI

2023

Multi-Level Confidence Learning for Trustworthy Multimodal Classification

Xiao Zheng, Chang Tang, Zhiguo Wan, Cheng Hu, Wei Zhang

AAAI Conference on Artificial Intelligence

DOI

2023

Mutual structure learning for multiple kernel clustering

Zhenglai Li, Chang Tang, Xiao Zheng, Zhiguo Wan, Kun Sun, Wei Zhang, Xinzhong Zhu

Information Sciences

DOI

2023

Multi-view subspace clustering via adaptive graph learning and late fusion alignment

Chuan Tang, Kun Sun, Chang Tang, Xiao Zheng, Xin-Wang Liu, Jun-Jie Huang, Wei Zhang

Neural Networks

DOI

2023

Multi-view clustering via matrix factorization assisted k-means

Xiao Zheng, Chang Tang, Xin-Wang Liu, En Zhu

Neurocomputing

DOI

2022

Latent Features Embedded Dynamic Graph Evolution Deep Clustering Network

De-Qiong Ding, Dan Zhuang, Xiaogao Yang, Xiao Zheng, Chang Tang

Signal Processing

DOI

2022

High-Order Correlation Preserved Incomplete Multi-View Subspace Clustering

Zhenglai Li, Chang Tang, Xiao Zheng, Xin-Wang Liu, Wei Zhang, En Zhu

IEEE Transactions on Image Processing

DOI

2022

Unified K-means coupled self-representation and neighborhood kernel learning for clustering single-cell RNA-sequencing data

Zheng Li, Chang Tang, Xiao Zheng, Zhenglai Li, Wei Zhang, Lijuan Cao

Neurocomputing

DOI

2022

MiRNA-Disease association prediction via non-negative matrix factorization based matrix completion

Xiao Zheng, Chu-Jie Zhang, Cheng Wan

Signal Processing

DOI

2022

Cross-View Locality Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection

Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, Jing Zhang, Jian Xiong, Li-Zhe Wang

IEEE Transactions on Knowledge and Data Engineering

DOI

2022

Graph regularized spatial-spectral subspace clustering for hyperspectral band selection

Jun Wang, Chang Tang, Xiao Zheng, Xin-Wang Liu, Wei Zhang, En Zhu

Neural Networks

DOI

2021

基于深度学习的安全帽监管系统

郑晓，王淑琴，张文聪，郑京瑞，周游

《计算机系统应用》

DOI

2021

Consensus Graph Learning for Multi-View Clustering

Zhenglai Li, Chang Tang, Xinwang Liu, Xiao Zheng, Guanghui Yue, Wei Zhang, En Zhu

IEEE transactions on multimedia

DOI

2021

Adaptive partial graph learning and fusion for incomplete multi‐view clustering

Xiao Zheng, Xin-Wang Liu, Jiajia Chen, En Zhu

International Journal of Intelligent Systems

DOI

2021

Tensor-Based Multi-View Block-Diagonal Structure Diffusion for Clustering Incomplete Multi-View Data

Zhenglai Li, Chang Tang, Xinwang Liu, Xiao Zheng, Wei Zhang, En Zhu

IEEE International Conference on Multimedia and Expo

DOI

2021

Gene selection for microarray data classification via dual latent representation learning

Xiao Zheng, Chu-Jie Zhang

Neurocomputing

DOI

2020

Single-Cell RNA-Sequencing Data Clustering via Locality Preserving Kernel Matrix Alignment

Xiao Zheng, Jiajia Chen, Chang Tang, Su-Qin Zhou

IEEE Access

DOI

2020

DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Discriminative Multi-Scale Deep Features

Chang Tang, Xinwang Liu, Xiao Zheng, Wan-Qing Li, Jian Xiong, Li-Zhe Wang, Albert Y. Zomaya, Antonella Longo

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2019

Gene selection for microarray data classification via adaptive hypergraph embedded dictionary learning.

Xiao Zheng, Wen-Yan Zhu, Chang Tang, Minhui Wang

Gene

DOI

2019

Dual Laplacian regularized matrix completion for microRNA-disease associations prediction

Chang Tang, Hua Zhou, Xiao Zheng, Yan-Ming Zhang, X. Sha

RNA Biology

DOI

2019

Quaternion Grassmann average network for learning representation of histopathological image

Jun Shi, Xiao Zheng, Jinjie Wu, Bangming Gong, Qi Zhang, Shi-Hui Ying

Pattern Recognition

DOI

2018

Multimodal Neuroimaging Feature Learning With Multimodal Stacked Deep Polynomial Networks for Diagnosis of Alzheimer's Disease

Jun Shi, Xiao Zheng, Yan Li, Qi Zhang, Shi-Hui Ying

IEEE journal of biomedical and health informatics

DOI

2018

Multiple Kernel Learning Based Classification of Parkinson’s Disease With Multi-Modal Transcranial Sonography

Jun Shi, Minjun Yan, Yun Dong, Xiao Zheng, Qi Zhang, H. An

Annual International Conference of the IEEE Engineering in Medicine and Biology Society

DOI

2018

A two-stage multi-view learning framework based computer-aided diagnosis of liver tumors with contrast enhanced ultrasound images

Le-Hang Guo, Dan Wang, Yi-Yi Qian, Xiao Zheng, Chong-Ke Zhao, Xiao-Long Li, Xiao-Wan Bo, Wen-Wen Yue, Qi Zhang, Jun Shi, Hui-Xiong Xu

Clinical Hemorheology and Microcirculation

DOI

2017

OCT despeckling via weighted nuclear norm constrained non-local low-rank representation

Chang Tang, Xiao Zheng, Lijuan Cao

DOI

2017

Speckle noise reduction for optical coherence tomography images via non-local weighted group low-rank representation

Chang Tang, Lijuan Cao, Jiajia Chen, Xiao Zheng

DOI

2017

Gene selection for microarray data classification via subspace learning and manifold regularization

Chang Tang, Lijuan Cao, Xiao Zheng, Minhui Wang

Medical and Biological Engineering and Computing

DOI

2017

Improving MRI-based diagnosis of Alzheimer's disease via an ensemble privileged information learning algorithm

Xiao Zheng, Jun Shi, Qi Zhang, Shi-Hui Ying, Yan Li

IEEE International Symposium on Biomedical Imaging

DOI

2017

CEUS-based classification of liver tumors with deep canonical correlation analysis and multi-kernel learning

Le-Hang Guo, Dan Wang, Huixiong Xu, Yi-Yi Qian, Chaofeng Wang, Xiao Zheng, Qi Zhang, Jun Shi

Annual International Conference of the IEEE Engineering in Medicine and Biology Society

DOI

2017

Multimodal Ultrasound imaging based diagnosis of liver cancers with a two-stage multi-view learning framework.

Yi-Yi Qian, Jun Shi, Xiao Zheng, Qi Zhang, Le-Hang Guo, Dan Wang, Huixiong Xu

Conference proceedings

DOI

2016

Improving Single-Modal Neuroimaging Based Diagnosis of Brain Disorders via Boosted Privileged Information Learning Framework

Xiao Zheng, Jun Shi, Shi-Hui Ying, Qi Zhang, Yan Li

MLMI@MICCAI

DOI

2016

Multi-modality stacked deep polynomial network based feature learning for Alzheimer's disease diagnosis

Xiao Zheng, Jun Shi, Yan Li, Xiao Liu, Qi Zhang

IEEE International Symposium on Biomedical Imaging

DOI

精选作品

期刊论文

Task-Aware Information Decoupling for Multimodal Clustering

Spatially Resolved Transcriptomics Data Clustering With Modality Conflict Modulation

Game Theory Inspired Cross-View Interaction Alignment for Partially View-Aligned Clustering

Cross-level interaction and multi-granularity contrastive learning for multi-view clustering

Disagreement-Aware Multi-View Clustering with Permutation-Aligned Anchor Graphs

基于视频描述增强和双流特征融合的视频异常检测方法

Find True Collaborators: Banzhaf Index-based Cross View Alignment for Partially View-aligned Clustering

scSPAF: Cell Similarity Purified Adaptive Fusion Network for Single-Cell Multi-Omics Clustering

Spatially Resolved Transcriptomics Data Clustering with Tailored Spatial-scale Modulation

LRGR: Self-Supervised Incomplete Multi-View Clustering via Local Refinement and Global Realignment

Mutual Calibration Network for Multi-View Clustering

Contrastive Representation Learning for Cross-Domain Blood Cell Image Classification With Denoising Mechanism

BMCST: Balanced multi-view clustering for spatially resolved transcriptomics with Mamba-driven dynamic feature refinement

DD-HGNN$^+$: Drug-Disease Association Prediction via General Hypergraph Neural Network With Hierarchical Contrastive Learning and Cross Attention Learning

SparseMVC: Probing Cross-view Sparsity Variations for Multi-view Clustering

Discriminative Binary Multi-View Clustering

PolyMamba: Spatial-Prior Guided Mamba for Polyp Segmentation with High-Frequency Enhancement

基于卷积神经网络的中草药识别算法研究

Fast Approximated Multiple Kernel K-Means

Global Context Relation-Guided Feature Aggregation Network for Salient Object Detection in Optical Remote Sensing Images

DPNET: Dynamic Poly-attention Network for Trustworthy Multi-modal Classification

Inclusivity induced adaptive graph learning for multi-view clustering

Unsupervised feature selection via multiple graph fusion and feature weight learning

Predicting miRNA-disease association via graph attention learning and multiplex adaptive modality fusion

Spatial and Spectral Structure Preserved Self-Representation for Unsupervised Hyperspectral Band Selection

Adaptive Discriminative Regions Learning Network for Remote Sensing Scene Classification

Multi-Level Confidence Learning for Trustworthy Multimodal Classification

Mutual structure learning for multiple kernel clustering

Multi-view subspace clustering via adaptive graph learning and late fusion alignment

Multi-view clustering via matrix factorization assisted k-means

Latent Features Embedded Dynamic Graph Evolution Deep Clustering Network

High-Order Correlation Preserved Incomplete Multi-View Subspace Clustering

Unified K-means coupled self-representation and neighborhood kernel learning for clustering single-cell RNA-sequencing data

MiRNA-Disease association prediction via non-negative matrix factorization based matrix completion

Cross-View Locality Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection

Graph regularized spatial-spectral subspace clustering for hyperspectral band selection

基于深度学习的安全帽监管系统

Consensus Graph Learning for Multi-View Clustering

Adaptive partial graph learning and fusion for incomplete multi‐view clustering

Tensor-Based Multi-View Block-Diagonal Structure Diffusion for Clustering Incomplete Multi-View Data

Gene selection for microarray data classification via dual latent representation learning

Single-Cell RNA-Sequencing Data Clustering via Locality Preserving Kernel Matrix Alignment

DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Discriminative Multi-Scale Deep Features

Gene selection for microarray data classification via adaptive hypergraph embedded dictionary learning.

Dual Laplacian regularized matrix completion for microRNA-disease associations prediction

Quaternion Grassmann average network for learning representation of histopathological image

Multimodal Neuroimaging Feature Learning With Multimodal Stacked Deep Polynomial Networks for Diagnosis of Alzheimer's Disease

Multiple Kernel Learning Based Classification of Parkinson’s Disease With Multi-Modal Transcranial Sonography

A two-stage multi-view learning framework based computer-aided diagnosis of liver tumors with contrast enhanced ultrasound images

OCT despeckling via weighted nuclear norm constrained non-local low-rank representation

Speckle noise reduction for optical coherence tomography images via non-local weighted group low-rank representation

Gene selection for microarray data classification via subspace learning and manifold regularization

Improving MRI-based diagnosis of Alzheimer's disease via an ensemble privileged information learning algorithm

CEUS-based classification of liver tumors with deep canonical correlation analysis and multi-kernel learning

Multimodal Ultrasound imaging based diagnosis of liver cancers with a two-stage multi-view learning framework.

Improving Single-Modal Neuroimaging Based Diagnosis of Brain Disorders via Boosted Privileged Information Learning Framework

Multi-modality stacked deep polynomial network based feature learning for Alzheimer's disease diagnosis

研究方向