胡文斌｜武汉大学｜学者主页

2026

DC-GCL: A unified framework for graph contrastive learning via Dual-perspective cross augmentation

Ze-Lin Yao, Chuang Liu, Xueqi Ma, Jia Wu, Lei Lei, Wenbin Hu

Information Sciences

2026

Extract and Refine Brain Subgraph for Disorder Analysis via Cross-Domain Learning

Xue-Xiong Luo, Jia Wu, Sheng-Xu-Ming Zhang, Guangwei Dong, Shan Xue, Hao Peng, Jian Yang, Chuan Zhou, Wenbin Hu, A. Beheshti

IEEE Transactions on Big Data

DOI

2025

Building connectome analysis tools with representation learning on neuronal skeleton and circuit topology.

Minghui Liao, Guojia Wan, Wenbin Hu, Bo Du

Neural Networks

DOI

2024

人工智能递进式实验案例设计

林馥，方颖，胡文斌，苏科华，李霞

《计算机教育》

2024

A Debiased Graph Clustering Approach Using Dual Contrastive Learning

Kuang Gao, Mu-Kun Chen, Chuang Liu, Shan Xue, Zhenyu Qiu, Ting Ren, Xiao-Hua Jia, Wenbin Hu

2024 IEEE International Conference on Web Services (ICWS)

DOI

2024

WARM: An Interpretability Module with Weighted Association Rule Mining for Recommendation Systems

Haifeng Zhu, Fu Lin, Wenbin Hu

International Conference on Intelligent Computing

DOI

2024

Unified Knowledge-Guided Molecular Graph Encoder with multimodal fusion and multi-task learning

Mu-Kun Chen, Xiuwen Gong, Shi-Rui Pan, Jia Wu, Fu Lin, Bo Du, Wenbin Hu

Neural Networks

DOI

2024

Complex query answering over knowledge graphs foundation model using region embeddings on a lie group

Zheng-Yun Zhou, Guojia Wan, Shi-Rui Pan, Jia Wu, Wenbin Hu, Bo Du

World wide web (Bussum)

DOI

2024

Towards a better negative sampling strategy for dynamic graphs

Kuang Gao, Chuang Liu, Jia Wu, Bo Du, Wenbin Hu

Neural Networks

DOI

2024

Graph explicit pooling for graph-level representation learning

Chuang Liu, Wen-Hang Yu, Kuang Gao, Xueqi Ma, Yi-Bing Zhan, Jia Wu, Wenbin Hu, Bo Du

Neural Networks

DOI

2023

Signed Network Representation by Preserving Multi-Order Signed Proximity

Ping-Hua Xu, Wenbin Hu, Jia Wu, Weiwei Liu, Yang Yang, Philip S. Yu

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

Graph structure reforming framework enhanced by commute time distance for graph classification

Wen-Hang Yu, Xueqi Ma, James Bailey, Yi-Bing Zhan, Jia Wu, Bo Du, Wenbin Hu

Neural Networks

DOI

2023

Task Variance Regularized Multi-Task Learning

Yuren Mao, Zekai Wang, Weiwei Liu, Xue-Min Lin, Wenbin Hu

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

Gapformer: Graph Transformer with Graph Pooling for Node Classification

Chuang Liu, Yi-Bing Zhan, Xueqi Ma, Liang Ding, Da-Peng Tao, Jia Wu, Wenbin Hu

International Joint Conference on Artificial Intelligence

DOI

2023

Relation Preference Oriented High-order Sampling for Recommendation

Mu-Kun Chen, Xiuwen Gong, YH Jin, Wenbin Hu

Web Search and Data Mining

DOI

2022

Masked Graph Auto-Encoder Constrained Graph Pooling

Chuang Liu, Yi-Bing Zhan, Xueqi Ma, Da-Peng Tao, Bo Du, Wenbin Hu

ECML/PKDD

DOI

2022

Dual-branch Density Ratio Estimation for Signed Network Embedding

Ping-Hua Xu, Yi-Bing Zhan, Liu Liu, Baosheng Yu, Bo Du, Jia Wu, Wenbin Hu

The Web Conference

DOI

2022

MEBC: social network immunization via motif-based edge-betweenness centrality

Kuang Gao, Guocai Yuan, Yang Yang, Yingwei Fan, Wenbin Hu

Knowledge and Information Systems

DOI

2022

Signed network representation with novel node proximity evaluation

Ping-Hua Xu, Wenbin Hu, Jia Wu, Weiwei Liu

Neural Networks

DOI

2021

BanditMTL: Bandit-based Multi-task Learning for Text Classification

Yuren Mao, Zekai Wang, Weiwei Liu, Xue-Min Lin, Wenbin Hu

Annual Meeting of the Association for Computational Linguistics

DOI

2021

Temporal Link Prediction With Motifs for Social Networks

Zhenyu Qiu, Jia Wu, Wenbin Hu, Bo Du, Guocai Yuan, Philip S. Yu

IEEE Transactions on Knowledge and Data Engineering

DOI

2021

Enhancing Graph Neural Networks by a High-quality Aggregation of Beneficial Information

Chuang Liu, Jia Wu, Weiwei Liu, Wenbin Hu

Neural Networks

DOI

2021

Social Trust Network Embedding with Hash and Graphlet

Zongzhao Xie, Wenbin Hu

IEEE International Joint Conference on Neural Network

DOI

2020

Temporal Network Embedding with High-Order Nonlinear Information

Zhenyu Qiu, Wenbin Hu, Jia Wu, Weiwei Liu, Bo Du, Xiao-Hua Jia

AAAI Conference on Artificial Intelligence

DOI

2019

节点不对称转移概率的网络社区发现算法

许平华，胡文斌，邱振宇，聂聪，唐传慧，高旷，刘中舟

《软件学报》

DOI

2019

Noise-Resilient Similarity Preserving Network Embedding for Social Networks

Zhenyu Qiu, Wenbin Hu, Jia Wu, Zhongzheng Tang, Xiao-Hua Jia

International Joint Conference on Artificial Intelligence

DOI

2019

Retraction Note to: A Situation-Aware Method Based on Ontology Analysis of the Semantic Social Network

Wenbin Hu, Huan Wang

Knowledge Science, Engineering and Management

DOI

2019

Detecting and Assessing Anomalous Evolutionary Behaviors of Nodes in Evolving Social Networks

Huan Wang, Jia Wu, Wenbin Hu, Xin-Dong Wu

ACM Transactions on Knowledge Discovery from Data

DOI

2019

Retraction notice to: "An event detection method for social networks based on link prediction" [Inf. Syst. 71 (2017) 16-26]

Wenbin Hu, Huan Wang, Chao Peng, Huan-Le Liang, Bo Du

Information Systems

DOI

2019

Social Trust Network Embedding

Ping-Hua Xu, Wenbin Hu, Jia Wu, Weiwei Liu, Bo Du, Jian Yang

Industrial Conference on Data Mining

DOI

2019

DeepTrust: A Deep User Model of Homophily Effect for Trust Prediction

Qi Wang, Weiliang Zhao, Jian Yang, Jia Wu, Wenbin Hu, Qianli Xing

Industrial Conference on Data Mining

DOI

2019

Link Prediction with Signed Latent Factors in Signed Social Networks

Ping-Hua Xu, Wenbin Hu, Jia Wu, Bo Du

Knowledge Discovery and Data Mining

DOI

2018

一种城市交通路网实时动态多路口路径导航量子搜索方法

胡文斌，聂聪，邱振宇，杜博，袁泉

《电子学报》

2018

An Event Detection Method for Social Networks Based on Evolution Fluctuations of Nodes

Huan Wang, Wenbin Hu, Zhenyu Qiu, Bing Wu

IEEE Access

DOI

2018

Self-Representative Manifold Concept Factorization with Adaptive Neighbors for Clustering

Sihan Ma, Le-Fei Zhang, Wenbin Hu, Yipeng Zhang, Jia Wu, Xue-Long Li

International Joint Conference on Artificial Intelligence

DOI

2017

Nodes' Evolution Diversity and Link Prediction in Social Networks

Huan Wang, Wenbin Hu, Zhenyu Qiu, Bo Du

IEEE Transactions on Knowledge and Data Engineering

DOI

2017

An event detection method for social networks based on link prediction

Wenbin Hu, Huan Wang, Chao Peng, Huan-Le Liang, Bo Du

Information Systems

DOI

2016

An event detection method for social networks based on hybrid link prediction and quantum swarm intelligent

Wenbin Hu, Huan Wang, Zhenyu Qiu, C. Nie, Li-Ping Yan, Bo Du

World wide web (Bussum)

DOI

2016

ハイブリッド指標による子社会ネットワーク事象の検出方法を提案した。【JST・京大機械翻訳】

Wenbin Hu, Huan Wang, Li-Ping Yan, Zhenyu Qiu, Lei Xiao, Bo Du

2015

A Situation-Aware Method Based on Ontology Analysis of the Semantic Social Network

Wenbin Hu, Huan Wang

Knowledge Science, Engineering and Management

DOI

2010

可信数据库环境下面向服务的自适应密文数据查询方法

宋伟，彭智勇，程芳权，李文海，胡文斌，任毅

《计算机学报》

2008

面向ROLAP的时态垂直粗分区方法

李文海，冯玉才，马晓鸣，付铨，胡文斌

《计算机学报》

2006

基于多Agent的分布式智能群决策支持系统研究

胡文斌，孟波

《计算机工程》

精选作品

期刊论文

DC-GCL: A unified framework for graph contrastive learning via Dual-perspective cross augmentation

Extract and Refine Brain Subgraph for Disorder Analysis via Cross-Domain Learning

Building connectome analysis tools with representation learning on neuronal skeleton and circuit topology.

人工智能递进式实验案例设计

A Debiased Graph Clustering Approach Using Dual Contrastive Learning

WARM: An Interpretability Module with Weighted Association Rule Mining for Recommendation Systems

Unified Knowledge-Guided Molecular Graph Encoder with multimodal fusion and multi-task learning

Complex query answering over knowledge graphs foundation model using region embeddings on a lie group

Towards a better negative sampling strategy for dynamic graphs

Graph explicit pooling for graph-level representation learning

Signed Network Representation by Preserving Multi-Order Signed Proximity

Graph structure reforming framework enhanced by commute time distance for graph classification

Task Variance Regularized Multi-Task Learning

Gapformer: Graph Transformer with Graph Pooling for Node Classification

Relation Preference Oriented High-order Sampling for Recommendation

Masked Graph Auto-Encoder Constrained Graph Pooling

Dual-branch Density Ratio Estimation for Signed Network Embedding

MEBC: social network immunization via motif-based edge-betweenness centrality

Signed network representation with novel node proximity evaluation

BanditMTL: Bandit-based Multi-task Learning for Text Classification

Temporal Link Prediction With Motifs for Social Networks

Enhancing Graph Neural Networks by a High-quality Aggregation of Beneficial Information

Social Trust Network Embedding with Hash and Graphlet

Temporal Network Embedding with High-Order Nonlinear Information

节点不对称转移概率的网络社区发现算法

Noise-Resilient Similarity Preserving Network Embedding for Social Networks

Retraction Note to: A Situation-Aware Method Based on Ontology Analysis of the Semantic Social Network

Detecting and Assessing Anomalous Evolutionary Behaviors of Nodes in Evolving Social Networks

Retraction notice to: "An event detection method for social networks based on link prediction" [Inf. Syst. 71 (2017) 16-26]

Social Trust Network Embedding

DeepTrust: A Deep User Model of Homophily Effect for Trust Prediction

Link Prediction with Signed Latent Factors in Signed Social Networks

一种城市交通路网实时动态多路口路径导航量子搜索方法

An Event Detection Method for Social Networks Based on Evolution Fluctuations of Nodes

Self-Representative Manifold Concept Factorization with Adaptive Neighbors for Clustering

Nodes' Evolution Diversity and Link Prediction in Social Networks

An event detection method for social networks based on link prediction

An event detection method for social networks based on hybrid link prediction and quantum swarm intelligent

ハイブリッド指標による子社会ネットワーク事象の検出方法を提案した。【JST・京大機械翻訳】

A Situation-Aware Method Based on Ontology Analysis of the Semantic Social Network

可信数据库环境下面向服务的自适应密文数据查询方法

面向ROLAP的时态垂直粗分区方法

基于多Agent的分布式智能群决策支持系统研究

预印本

Attacking by Aligning: Clean-Label Backdoor Attacks on Object Detection