高榕｜湖北工业大学｜学者主页

2026

Wasserstein distance-based graph contrastive learning for recommendation

Yonghong Yu, Zhiyu Wang, Yujie Liao, Li Zhang, Rong Gao

Expert Systems With Applications，Vol. 297

DOI

2026

基于异质图和Mamba的跨模态遥感语义分割

叶志伟，冯青阳，刘明明，王苑，高榕，严灵毓

《计算机应用研究》

2026

基于大核卷积和Mamba的遥感目标检测

严灵毓，何子健，高榕，叶志伟，王苑，韩洪木

《计算机工程与设计》

DOI

2026

Disentangled Representation Learning-Based Personalized Tag Recommendation

Shengwei Qian, Aoran Zhang, Rong Gao, Li Zhang, Yonghong Yu

Lecture notes in computer science

DOI

2026

TSD-Rec: Metric semantic noise enhanced diffusion based contrastive learning with topology prior for multi-behavior recommendation

Rong Gao, Yabo Guo, Yonghong Yu, Zhiwei Ye, Zhang Li, Lingyu Yan

Expert Systems with Applications

DOI

2026

AGDSF-Mamba: Adaptive metric graph diffusion with sparse filtering for mamba guided anomaly detection via spatiotemporal learning in industrial IoT

Jiakang Liu, Rong Gao, Zhiwei Ỹe, Jiaojiao Deng, Xiantao Zhang, Li Zhang, Lingyu Yan

Internet of Things

DOI

2026

SDLK-Net: Enhanced squeezed directional large kernel multi-scale multi-modal fusion network for salient object detection

Lingyu Yan, Ting Zhou, Rong Gao, Zengmao Wang, Zhiwei Ye, Xinyun Wu

Applied Intelligence

DOI

2026

MedHyperMamba: A multi-capable Mamba with multimodal registration, denoising and novel hypergraph scanning for MRI brain tumor segmentation

Yiming Yang, Lingyu Yan, Rong Gao, Ci Zhao

Biomedical Signal Processing and Control

DOI

2026

Spatio-temporal constraint graph neural network with enhanced patching for time series anomaly detection in IoT

Zhiwei Ye, Zihan Wang, Rong Gao, Lingyu Yan, Li Zhang

Cluster Computing

DOI

2026

Spatial-spectral enhanced mamba with diffusion prior for spectral super-resolution

Wenjing Chen, Lang Liu, Rong Gao

Journal of King Saud University - Computer and Information Sciences

DOI

2026

CAAMFormer: Cross-Attention Augmented Mamba Network for Remote Sensing Semantic Segmentation

Jing Wang, Mingming Liu, Rong Gao, Zhiqi Zhang, Jinshan Cao, Lingyu Yan

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

DOI

2026

Evolving transformers with reinforcement learning-enhanced Grey Wolf Optimisation for remote sensing image segmentation

Vivian Sedov, Li Zhang, Chee Peng Lim, Houshyar Asadi, Haoqian Huang, Yonghong Yu, Dezong Zhao, Rong Gao

ISPRS Journal of Photogrammetry and Remote Sensing

DOI

2025

基于边界增强和加权大核的多尺度RGB-D显著性目标检测

严灵毓，周婷，高榕，叶志伟

《计算机应用研究》

2025

CFI-Former: Efficient lane detection by multi-granularity perceptual query attention transformer

Rong Gao, Siqi Hu, Lingyu Yan, Le-Fei Zhang, Jia Wu

Neural Networks

DOI

2025

Enhanced Graph Diffusion Learning with Transformable Patching via Curriculum Contrastive Learning for Session Recommendation

Jin Li, Rong Gao, Lingyu Yan, Quan-Feng Yao, Xianjun Peng, Ji-Wei Hu

Electronics

DOI

2025

Interactive, Enhanced Dual Hypergraph Model for Explainable Contrastive Learning Recommendation

Jin Li, Rong Gao, Ling-Yu Yan, Donghua Liu, Xiang Wan, Xinyun Wu, Ji-Wei Hu

Electronics

DOI

2025

Contrastive Translation With Dynamical Temperature for Sequential Recommendation

Ao-Ran Zhang, Yong-Hong Yu, Li Zhang, Rong Gao, Hong-Zhi Yin

IEEE Transactions on Systems, Man & Cybernetics. Systems

DOI

2025

Cluster search optimisation of deep neural networks for audio emotion classification

Sam Slade, Li Zhang, Houshyar Asadi, C. Lim, Yong-Hong Yu, De-Zong Zhao, Arjun Panesar, P. Wu, Rong Gao

Knowledge-Based Systems

DOI

2025

MBP-Mamba: Multi Scale Information Fusion Model Based on MAMBA for Polyp Segmentation

Hengdi Gao, Meng Yan, Rong Gao

International Conference on Machine Learning and Computer Application (ICMLCA)

DOI

2025

Multi-scale GroupMamba for spectral super-resolution from single RGB image

Wenjing Chen, Mingtao Zhong, Rong Gao, Lingyu Yan, Zhiwei Ye

Journal of King Saud University - Computer and Information Sciences

DOI

2025

SAMNet: Enhancing Spatial Dependency Modeling for Multivariate Anomaly Detection

Yong Liu, Rong Gao

International Conference on Machine Learning and Computer Application (ICMLCA)

DOI

2025

Enhanced Contrastive Learning with Local Calibration for Recommendation

Yao Tao, Rong Gao

International Conference on Machine Learning and Computer Application (ICMLCA)

DOI

2024

Contrastive graph learning long and short-term interests for POI recommendation

Jiarun Fu, Rong Gao, Yonghong Yu, Jia Wu, Jing Li, Donghua Liu, Zhiwei Ye

Expert Systems With Applications，Vol. 238

DOI

2024

基于虚拟节点策略的自监督对比学业预警模型

王园淋，欧阳勇，高榕，刘锦行，叶志伟

《计算机工程与设计》

DOI

2024

可解释的局部和全局对比多行为推荐算法

陈文俊，高榕，邵雄凯，吴歆韵，万祥，高海燕

《计算机工程与设计》

DOI

2024

Video Deepfake classification using particle swarm optimization-based evolving ensemble models

Li Zhang, Dezong Zhao, C. Lim, Houshyar Asadi, Hao-Qian Huang, Yong-Hong Yu, Rong Gao

Knowledge-Based Systems

DOI

2024

Enhanced Contrastive Hypergraph Information Bottleneck Learning for Item Recommendation

Haiyang Zhang, Rong Gao, Donghua Liu, Xiang Wan

2024 11th International Forum on Electrical Engineering and Automation (IFEEA)

DOI

2024

Group Recommendation Method for Hypergraph Message Passing Meta-Path Mask

Shen Qi, Rong Gao, Xiong-Kai Shao, Donghua Liu, Xiang Wan, O. Kochan

Automation, Control, and Information Technology

DOI

2024

Multi-Behavioral Recommender System Based on Multi-View Contrastive Learning

Haiyang Zhang, Rong Gao, Donghua Liu, Xiang Wan

2024 4th International Conference on Machine Learning and Intelligent Systems Engineering (MLISE)

DOI

2024

Hierarchical Dynamic Spatio-Temporal Graph Convolutional Networks with Self-Supervised Learning for Traffic Flow Forecasting

Si-Wei Wei, Yanan Song, Donghua Liu, Sichen Shen, Rong Gao, Chun-Zhi Wang

Inventions

DOI

2024

Hyperbolic Translation-Based Sequential Recommendation

Yong-Hong Yu, Ao-Ran Zhang, Li Zhang, Rong Gao, Shang Gao, Hong-Zhi Yin

IEEE Transactions on Computational Social Systems

DOI

2024

Coordinate Attention Enhanced Adaptive Spatiotemporal Convolutional Networks for Traffic Flow Forecasting

Si-Wei Wei, Sichen Shen, Donghua Liu, Yanan Song, Rong Gao, Chun-Zhi Wang

IEEE Access

DOI

2024

Course Recommendation Model Based on Layer Dropout Graph Differential Contrastive Learning

Yong Ouyang, Hao Long, Rong Gao, Jing-Hang Liu

IEEE Access

DOI

2024

Contrastive Learning-Based Personalized Tag Recommendation

Ao-Ran Zhang, Yong-Hong Yu, Shenglong Li, Rong Gao, Li Zhang, Shang Gao

Italian National Conference on Sensors

DOI

2024

Enhanced graph diffusion learning with dynamic transformer for anomaly detection in multivariate time series

Rong Gao, Jimin Wang, Yong-Hong Yu, Jia Wu, Li Zhang

Neurocomputing

DOI

2024

Hyperbolic Adversarial Learning for Personalized Item Recommendation

Ao-Ran Zhang, Yong-Hong Yu, Gong-You Xu, Rong Gao, Li Zhang, Shang Gao, Hong-Zhi Yin

International Conference on Database Systems for Advanced Applications

DOI

2024

Dynamic deep graph convolution with enhanced transformer networks for time series anomaly detection in IoT

Rong Gao, Zhiwei Chen, Xinyun Wu, Yong-Hong Yu, Li Zhang

Cluster Computing

DOI

2023

基于Fastformer和自监督对比学习的实例分割算法

高榕，沈加伟，邵雄凯，吴歆韵

《计算机应用》

2023

Multi-level contrastive graph learning for academic abnormality prediction

Yong Ouyang, Yuanlin Wang, Rong Gao, Yawen Zeng, Jinhang Liu, Zhi-Wei Ye

Neural computing & applications (Print)

DOI

2023

Prediction of Graduation Development Based on Hypergraph Contrastive Learning With Imbalanced Sampling

Yong Ouyang, T. Feng, Rong Gao, Yu-Bin Xu, Jing-Hang Liu

IEEE Access

DOI

2023

Dynamic Graph Learning with Long and Short-Term for Multivariate Time Series Anomaly Detection

Yuyin Tian, Rong Gao, Lingyu Yan, Donghua Liu, Zhiwei Ye

IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)

DOI

2023

Neural Inference Search for Multiloss Segmentation Models

Sam Slade, Zhang Li, Haoqian Huang, Houshyar Asadi, Chee Peng Lim, Yonghong Yu, Dezong Zhao, Hanhe Lin, Rong Gao

IEEE Transactions on Neural Networks and Learning Systems

DOI

2023

High-order deep infomax-guided deformable transformer network for efficient lane detection

Rong Gao, Siqi Hu, Lingyu Yan, Zhang Li, Hang Ruan, Yonghong Yu, Zhiwei Ye

Signal Image and Video Processing

DOI

2023

Self-supervised Dual Hypergraph learning with Intent Disentanglement for session-based recommendation

Rong Gao, Yuhe Tao, Yonghong Yu, Jia Xin Wu, Xiongkai Shao, Jing Li, Zhiwei Ye

Knowledge-Based Systems

DOI

2023

Disentangled Dynamic Deviation Transformer Networks for Multivariate Time Series Anomaly Detection

Chunzhi Wang, Shaowen Xing, Rong Gao, Lingyu Yan, Naixue N. Xiong, Ruoxi Wang

Sensors

DOI

2022

基于全局采样的混合门控神经网络推荐模型

张意灵，邵雄凯，高榕，王春枝，吴歆韵

《计算机工程与设计》

2022

面向研究生思辨能力培养的数据挖掘课程教学实践

叶志伟，高榕，林姗，邓娜

《软件导刊》

2022

基于注意力门控神经网络的社会化推荐算法

邱叶，邵雄凯，高榕，王春枝，李晶

《计算机工程与应用》

2022

Social-path embedding-based transformer for graduation development prediction

Guangze Yang, Yong Ouyang, Zhi-Wei Ye, Rong Gao, Yawen Zeng

Applied intelligence (Boston)

DOI

2022

A Graph-Neural-Network-Based Social Network Recommendation Algorithm Using High-Order Neighbor Information

Yonghong Yu, Weiwen Qian, Zhang Li, Rong Gao

Sensors

DOI

2022

An Intelligent Weighted Object Detector for Feature Extraction to Enrich Global Image Information

Lingyu Yan, Ke Li, Rong Gao, Chunzhi Wang, Naixue N. Xiong

Applied Sciences

DOI

2022

A Deep Ensemble Neural Network with Attention Mechanisms for Lung Abnormality Classification Using Audio Inputs

Conor Wall, Zhang Li, Yonghong Yu, Akshi Kumar, Rong Gao

Sensors

DOI

2022

Human Action Recognition Using Hybrid Deep Evolving Neural Networks

Pavan Dasari, Zhang Li, Yonghong Yu, Haoqian Huang, Rong Gao

2022 International Joint Conference on Neural Networks (IJCNN)

DOI

2022

Gated Dual Hypergraph Convolutional Networks for Recommendation with Self-supervised Learning

Rong Gao, Jiakang Liu, Yonghong Yu, Donghua Liu, Xiongkai Shao, Zhiwei Ye

2022 International Joint Conference on Neural Networks (IJCNN)

DOI

2022

Lightweight object detection model fused with feature pyramid

Chunzhi Wang, Zaoning Wang, Ke Li, Rong Gao, Lingyu Yan

Multimedia Tools and Applications

DOI

2022

Deep Recommendation With Adversarial Training

Chenyan Zhang, Jing Li, Jia Xin Wu, Donghua Liu, Jun Chang, Rong Gao

IEEE Transactions on Emerging Topics in Computing

DOI

2021

Mixed attention hourglass network for robust face alignment

Zou Yang, Xiong-Kai Shao, Jun Wan, Rong Gao, Zhi-Hui Lai

International Journal of Machine Learning and Cybernetics

DOI

2021

A Static and Dynamic Co-attention Network for Social Recommendation

Fan Bian, Lingyu Yan, Rong Gao, Kunpeng Zheng, Yucheng Zhang, Jie Yang

IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)

DOI

2021

Hybrid neural networks based facial expression recognition for smart city

Lingyu Yan, Menghan Sheng, Chunzhi Wang, Rong Gao, Han Yu

Multimedia Tools and Applications

DOI

2020

基于大数据云平台的深度学习预测模型研究

陈亮亮，邵雄凯，高榕

《软件导刊》

2020

Neural Graph for Personalized Tag Recommendation

Yonghong Yu, Xuewen Chen, Zhang Li, Rong Gao, Haiyan Gao

IEEE Intelligent Systems

DOI

2020

A hybrid neural network approach to combine textual information and rating information for item recommendation

Donghua Liu, Jing Li, Bo Du, Jun Chang, Rong Gao, Yujia Wu

Knowledge and Information Systems

DOI

2020

Graph Neural Networks Boosted Personalized Tag Recommendation Algorithm

Xuewen Chen, Yonghong Yu, Fengyixin Jiang, Zhang Li, Rong Gao, Haiyan Gao

DOI

2020

Elective future: The influence factor mining of students’ graduation development based on hierarchical attention neural network model with graph

Yong Ouyang, Yawen Zeng, Rong Gao, Yonghong Yu, Chunzhi Wang

Applied Intelligence

DOI

2020

HHA: An Attentive Prediction Model for Academic Abnormality

Yawen Zeng, Yong Ouyang, Rong Gao, Ye Qiu, Yonghong Yu, Chunzhi Wang

IEEE Access

DOI

2019

基于深度学习的混合兴趣点推荐算法

冯浩，黄坤，李晶，高榕，刘东华，宋成芳

《电子与信息学报》

2019

DRCGR: Deep Reinforcement Learning Framework Incorporating CNN and GAN-Based for Interactive Recommendation

Rong Gao, Haifeng Xia, Jing Li, Donghua Liu, Shuai Chen, Gang Chun

Proceedings

DOI

2019

DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation

Donghua Liu, Jing Li, Bo Du, Jun Chang, Rong Gao

ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD)

DOI

2019

Neural Personalized Ranking via Poisson Factor Model for Item Recommendation

Yonghong Yu, Zhang Li, Can Wang, Rong Gao, Weibin Zhao, Jing Jiang

Complexity

DOI

2019

SSSER: Spatiotemporal Sequential and Social Embedding Rank for Successive Point-of-Interest Recommendation

Yangyang Xu, Xuefei Li, Jing Li, Chunzhi Wang, Rong Gao, Yonghong Yu

IEEE Access

DOI

2018

基于情感倾向性分析的微博意见领袖识别模型

陈志雄，王时绘，高榕

《计算机科学》

2018

基于Caffe的嵌入式多核处理器深度学习框架并行实现

高榕，张良，梅魁志

《西安交通大学学报》

2018

一种基于评分矩阵局部低秩假设融合地理和文本信息的协同排名POI推荐模型

孙琳，罗保山，高榕

《计算机应用研究》

2018

Geographical Proximity Boosted Recommendation Algorithms for Real Estate

Yonghong Yu, Can Wang, Zhang Li, Rong Gao, Hua Wang

Lecture notes in computer science

DOI

2016

一种融合情景和评论信息的位置社交网络兴趣点推荐模型

高榕，李晶，杜博，余永红，宋成芳，丁永刚

《计算机研究与发展》

2016

一种基于位置社交网络的地点推荐算法

袁适之，李晶，李石君，高榕

《计算机应用研究》

2007

基于遗传算法的有向无环图画图算法

高榕，李跃新

《计算机应用研究》

精选作品

期刊论文

Wasserstein distance-based graph contrastive learning for recommendation

基于异质图和Mamba的跨模态遥感语义分割

基于大核卷积和Mamba的遥感目标检测

Disentangled Representation Learning-Based Personalized Tag Recommendation

TSD-Rec: Metric semantic noise enhanced diffusion based contrastive learning with topology prior for multi-behavior recommendation

AGDSF-Mamba: Adaptive metric graph diffusion with sparse filtering for mamba guided anomaly detection via spatiotemporal learning in industrial IoT

SDLK-Net: Enhanced squeezed directional large kernel multi-scale multi-modal fusion network for salient object detection

MedHyperMamba: A multi-capable Mamba with multimodal registration, denoising and novel hypergraph scanning for MRI brain tumor segmentation

Spatio-temporal constraint graph neural network with enhanced patching for time series anomaly detection in IoT

Spatial-spectral enhanced mamba with diffusion prior for spectral super-resolution

CAAMFormer: Cross-Attention Augmented Mamba Network for Remote Sensing Semantic Segmentation

Evolving transformers with reinforcement learning-enhanced Grey Wolf Optimisation for remote sensing image segmentation

基于边界增强和加权大核的多尺度RGB-D显著性目标检测

CFI-Former: Efficient lane detection by multi-granularity perceptual query attention transformer

Enhanced Graph Diffusion Learning with Transformable Patching via Curriculum Contrastive Learning for Session Recommendation

Interactive, Enhanced Dual Hypergraph Model for Explainable Contrastive Learning Recommendation

Contrastive Translation With Dynamical Temperature for Sequential Recommendation

Cluster search optimisation of deep neural networks for audio emotion classification

MBP-Mamba: Multi Scale Information Fusion Model Based on MAMBA for Polyp Segmentation

Multi-scale GroupMamba for spectral super-resolution from single RGB image

SAMNet: Enhancing Spatial Dependency Modeling for Multivariate Anomaly Detection

Enhanced Contrastive Learning with Local Calibration for Recommendation

Contrastive graph learning long and short-term interests for POI recommendation

基于虚拟节点策略的自监督对比学业预警模型

可解释的局部和全局对比多行为推荐算法

Video Deepfake classification using particle swarm optimization-based evolving ensemble models

Enhanced Contrastive Hypergraph Information Bottleneck Learning for Item Recommendation

Group Recommendation Method for Hypergraph Message Passing Meta-Path Mask

Multi-Behavioral Recommender System Based on Multi-View Contrastive Learning

Hierarchical Dynamic Spatio-Temporal Graph Convolutional Networks with Self-Supervised Learning for Traffic Flow Forecasting

Hyperbolic Translation-Based Sequential Recommendation

Coordinate Attention Enhanced Adaptive Spatiotemporal Convolutional Networks for Traffic Flow Forecasting

Course Recommendation Model Based on Layer Dropout Graph Differential Contrastive Learning

Contrastive Learning-Based Personalized Tag Recommendation

Enhanced graph diffusion learning with dynamic transformer for anomaly detection in multivariate time series

Hyperbolic Adversarial Learning for Personalized Item Recommendation

Dynamic deep graph convolution with enhanced transformer networks for time series anomaly detection in IoT

基于Fastformer和自监督对比学习的实例分割算法

Multi-level contrastive graph learning for academic abnormality prediction

Prediction of Graduation Development Based on Hypergraph Contrastive Learning With Imbalanced Sampling

Dynamic Graph Learning with Long and Short-Term for Multivariate Time Series Anomaly Detection

Neural Inference Search for Multiloss Segmentation Models

High-order deep infomax-guided deformable transformer network for efficient lane detection

Self-supervised Dual Hypergraph learning with Intent Disentanglement for session-based recommendation

Disentangled Dynamic Deviation Transformer Networks for Multivariate Time Series Anomaly Detection

基于全局采样的混合门控神经网络推荐模型

面向研究生思辨能力培养的数据挖掘课程教学实践

基于注意力门控神经网络的社会化推荐算法

Social-path embedding-based transformer for graduation development prediction

A Graph-Neural-Network-Based Social Network Recommendation Algorithm Using High-Order Neighbor Information

An Intelligent Weighted Object Detector for Feature Extraction to Enrich Global Image Information

A Deep Ensemble Neural Network with Attention Mechanisms for Lung Abnormality Classification Using Audio Inputs

Human Action Recognition Using Hybrid Deep Evolving Neural Networks

Gated Dual Hypergraph Convolutional Networks for Recommendation with Self-supervised Learning

Lightweight object detection model fused with feature pyramid

Deep Recommendation With Adversarial Training

Mixed attention hourglass network for robust face alignment

A Static and Dynamic Co-attention Network for Social Recommendation

Hybrid neural networks based facial expression recognition for smart city

基于大数据云平台的深度学习预测模型研究

Neural Graph for Personalized Tag Recommendation

A hybrid neural network approach to combine textual information and rating information for item recommendation

Graph Neural Networks Boosted Personalized Tag Recommendation Algorithm

Elective future: The influence factor mining of students’ graduation development based on hierarchical attention neural network model with graph

HHA: An Attentive Prediction Model for Academic Abnormality

基于深度学习的混合兴趣点推荐算法

DRCGR: Deep Reinforcement Learning Framework Incorporating CNN and GAN-Based for Interactive Recommendation

DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation

Neural Personalized Ranking via Poisson Factor Model for Item Recommendation

SSSER: Spatiotemporal Sequential and Social Embedding Rank for Successive Point-of-Interest Recommendation

基于情感倾向性分析的微博意见领袖识别模型

基于Caffe的嵌入式多核处理器深度学习框架并行实现

一种基于评分矩阵局部低秩假设融合地理和文本信息的协同排名POI推荐模型

Geographical Proximity Boosted Recommendation Algorithms for Real Estate

一种融合情景和评论信息的位置社交网络兴趣点推荐模型

一种基于位置社交网络的地点推荐算法

基于遗传算法的有向无环图画图算法

书籍章节