袁立明｜天津理工大学｜学者主页

2026

基于全局注意力的自监督对比学习遥感图像场景识别方法

王慧月，王欣宇，温显斌，袁立明，徐海霞，史芙蓉

《光电子·激光》

2026

A Deconvolution-Based Grating Lobes Reduction for Low-Oversampled Staggered SAR Image

Wenjiao Chen, Jiwen Geng, Jin-Dong Yu, Chen-Guang Wang, Liming Yuan

Remote Sensing

DOI

2026

MSAA‐MSDA: A Multi‐Source Domain Adaptation Method for Remote Sensing Scene Classification Based on Multi‐Scale Attention Aggregation

Wei Dai, Hai-Xia Xu, Liming Yuan, Xinyu Wang, Xianbin Wen

IET Image Processing

DOI

2026

A multiple instance learning framework with instance identification and supervised contrastive learning for WSI classification

Liming Yuan, Guang-Can Hu, Na Qin, Lu Zhao

Multimedia Systems

DOI

2025

基于注意力机制和特征金字塔的水下扭曲图像重建网络

王奇隆，温显斌，薛彦兵，袁立明，徐海霞，史芙蓉

《天津理工大学学报》

2025

基于胶囊网络和图神经网络的糖尿病视网膜病变图像分级

王婧祎，温凯，袁立明，孙婧，徐海霞，温显斌

《天津理工大学学报》

2025

基于标签互优化的领域自适应无监督行人重识别网络

秦伟昊，温显斌，袁立明，徐海霞，史芙蓉

《光电子·激光》

DOI

2025

AIF_Pix2Pix: An Ocean Front Airborne Infrared Image Generation Model

Liming Yuan, Shan Shuai, Zonghao Chi, Kaiguo Fan, Zi-Hao Wang, Mengyuan Zhang, Yu Zhang, Biao Chen

IEEE Access

DOI

2025

ACDR-CRAFF Net: A Multi-Scale Network Based on Adaptive Channel and Coordinate Relational Attention Network for Remote Sensing Scene Classification

Wei Dai, Hai-Xia Xu, Furong Shi, Liming Yuan, Xinyu Wang, Xianbin Wen

IET Image Processing

DOI

2025

Hfffap-net: unsupervised fundus image enhancement with high-frequency feature fusion and artifact processing

Xiaomin Yang, Liming Yuan, Xianbin Wen

Multimedia Systems

DOI

2025

A lightweight enhanced branching attention model for remote sensing scene image classification

Huiyu Wang, Xianbin Wen, Hai-Xia Xu, Liming Yuan, Xinyu Wang

Earth Science Informatics

DOI

2025

PLDF-S3: Pseudo-Label-Driven Framework for Offshore to Inshore Unsupervised SAR Image Ship Segmentation

Wentao Li, Xinyu Wang, Hai-Xia Xu, Liming Yuan, Furong Shi, Xianbin Wen, Jiao Liu

IEEE Geoscience and Remote Sensing Letters

DOI

2024

基于图卷积网络的糖尿病视网膜病变分级模型

杨雨帆，袁立明，王珂，李弘毅，李奕璇，姚雨佳，王婧祎

《计算机科学》

2024

基于迁移学习和通道注意力的遥感图像场景分类

舒薪行，温显斌，袁立明，徐海霞，史芙蓉

《光电子·激光》

2024

基于频域注意力的水下目标检测算法研究

张天，温显斌，薛彦兵，袁立明，徐海霞，史芙蓉

《光电子·激光》

DOI

2024

On-borne automated detection of ocean internal waves in SAR images based on spatial features

Zhichao Xu, Jie Chen, Meng-Yue Zhang, Su-Qin Xu, Liming Yuan

Other Conferences

DOI

2024

A method for ocean front enhancement and automatic detection of SAR data

Liming Yuan, Su-Qin Xu, Dian-Ji Jia, Zonghao Chi, Zihao Wang

Journal of Physics: Conference Series

DOI

2024

Deep neural network based on attention and feature complementary fusion for synthetic aperture radar image classification with small samples

Xiao-Ning Liu, Furong Shi, Hai-Xia Xu, Liming Yuan, Xianbin Wen

Journal of Applied Remote Sensing

DOI

2024

Multiscale Attention-Based Subdomain Dynamic Adaptation for Cross-Domain Scene Classification

Xinyu Wang, Hai-Xia Xu, Furong Shi, Liming Yuan, Xianbin Wen

IEEE Geoscience and Remote Sensing Letters

DOI

2024

Self-supervised network for oriented synthetic aperture radar ship detection based on self-distillation

Wentao Li, Hai-Xia Xu, Furong Shi, Liming Yuan, Xianbin Wen

Journal of Applied Remote Sensing

DOI

2024

LPNet: A remote sensing scene classification method based on large kernel convolution and parameter fusion

Guowei Wang, Furong Shi, Xinyu Wang, Hai-Xia Xu, Liming Yuan, Xianbin Wen

IET Image Processing

DOI

2024

Dynamic Convolution Covariance Network Using Multiscale Feature Fusion for Remote Sensing Scene Image Classification

Xinyu Wang, Furong Shi, Hai-Xia Xu, Liming Yuan, Xianbin Wen

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

DOI

2024

Visual Tracking based on deformable Transformer and spatiotemporal information

Ruixu Wu, Xianbin Wen, Liming Yuan, Hai-Xia Xu, Yanli Liu

Engineering applications of artificial intelligence

DOI

2024

A multi-scale dense residual correlation network for remote sensing scene classification

Wei Dai, Furong Shi, Xinyu Wang, Hai-Xia Xu, Liming Yuan, Xianbin Wen

Scientific Reports

DOI

2023

以示例得分为权重的深度多示例学习方法研究

吴文晴，袁立明，温显斌，徐海霞

《天津理工大学学报》

2023

A lightweight and stochastic depth residual attention network for remote sensing scene classification

Xinyu Wang, Hai-Xia Xu, Liming Yuan, Xianbin Wen

IET Image Processing

DOI

2023

Spatiotemporal key region transformer for visual tracking

Ruixu Wu, Xianbin Wen, Liming Yuan, Hai-Xia Xu

Complex & Intelligent Systems

DOI

2022

多示例学习算法综述

赵璐，袁立明，郝琨

《计算机科学》

2022

End-To-End Retina Image Synthesis Based on CGAN Using Class Feature Loss and Improved Retinal Detail Loss

Nan Liang, Liming Yuan, Xianbin Wen, Hai-Xia Xu, Jingyi Wang

IEEE Access

DOI

2022

Multi-View Representation Learning for Multi-Instance Learning with Applications to Medical Image Classification

Lu Zhao, Liming Yuan, Zhenliang Li, Xianbin Wen

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2022

DASFTOT: Dual attention spatiotemporal fused transformer for object tracking

Ruixu Wu, Xianbin Wen, Liming Yuan, Hai-Xia Xu

Knowledge-Based Systems

DOI

2022

Generalized attention-based deep multi-instance learning

Lu Zhao, Liming Yuan, Kun Hao, Xianbin Wen

Multimedia Systems

DOI

2022

Multiple Regularization and Analysis of Deep Capsule Network

Kun Sun, Hai-Xia Xu, Liming Yuan, Xianbin Wen

Pattern Analysis and Applications

DOI

2022

Correction: STASiamRPN: visual tracking based on spatiotemporal and attention

Ruixu Wu, Xianbin Wen, Zhan-Lu Liu, Liming Yuan, Hai-Xia Xu

Multimedia Systems

DOI

2022

Deep Multi-Instance Learning with Adaptive Recurrent Pooling for Medical Image Classification

Y. Ding, Lu Zhao, Liming Yuan, Xianbin Wen

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2022

Dense capsule network for SAR automatic target recognition with limited data

Quan Wang, Hai-Xia Xu, Liming Yuan, Xianbin Wen

Remote Sensing Letters

DOI

2022

A Remote-Sensing Scene-Image Classification Method Based on Deep Multiple-Instance Learning with a Residual Dense Attention ConvNet

Xinyu Wang, Hai-Xia Xu, Liming Yuan, Wei Dai, Xianbin Wen

Remote Sensing

DOI

2022

Remote sensing scene image classification model based on multi-scale features and attention mechanism

Guowei Wang, Hai-Xia Xu, Xinyu Wang, Liming Yuan, Xianbin Wen

Journal of Applied Remote Sensing

DOI

2021

基于张量投影的多特征非局部动态核稀疏表示的SAR图像分类

吴效莹，温显斌，徐海霞，袁立明

《光电子·激光》

DOI

2021

A tiny deep capsule network

Kun Sun, Hai-Xia Xu, Liming Yuan, Xianbin Wen

International Journal of Machine Learning and Cybernetics

DOI

2021

Dense capsule networks with fewer parameters

Kun Sun, Xian-Bin Wen, Liming Yuan, Hai-Xia Xu

Soft Computing - A Fusion of Foundations, Methodologies and Applications

DOI

2021

STASiamRPN: visual tracking based on spatiotemporal and attention

Ruixu Wu, Xianbin Wen, Zhan-Lu Liu, Liming Yuan, Hai-Xia Xu

Multimedia Systems

DOI

2021

Multi-Scale Attention Network Based on Multi-Feature Fusion for Person Re-Identification

Minghao Li, Liming Yuan, Xianbin Wen, Jiancheng Wang, Geng-Sheng Xie, Yansong Jia

IEEE International Joint Conference on Neural Network

DOI

2021

Global Correlative Network for Person re-identification

Geng-Sheng Xie, Xianbin Wen, Liming Yuan, Hai-Xia Xu, Zhan-Lu Liu

Neurocomputing

DOI

2021

Channel-exchanged feature representations for person re-identification

Jiancheng Wang, Liming Yuan, Hai-Xia Xu, Geng-Sheng Xie, Xianbin Wen

Information Sciences

DOI

2021

Multi-Feature Fusion and Adaptive Kernel Combination for SAR Image Classification

Xiaoying Wu, Xian-Bin Wen, Hai-Xia Xu, Liming Yuan, Changlu Guo

Applied Sciences

DOI

2021

CSDS: End-to-End Aerial Scenes Classification With Depthwise Separable Convolution and an Attention Mechanism

Xinyu Wang, Liming Yuan, Hai-Xia Xu, Xianbin Wen

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

DOI

2021

Pose-guided feature region-based fusion network for occluded person re-identification

Geng-Sheng Xie, Xianbin Wen, Liming Yuan, Jiancheng Wang, Changlu Guo, Yansong Jia, Minghao Li

Multimedia Systems

DOI

2021

Deep capsule network regularization based on generative adversarial network framework

Kun Sun, Liming Yuan, Hai-Xia Xu, Xianbin Wen

J. Electronic Imaging

DOI

2020

Learnable Bag Similarity Based Deep Multi-Instance Network for Breast Cancer Diagnosis

Rui Cheng, Liming Yuan, Hai-Xia Xu, Zhenliang Li, Xian-Bin Wen

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2020

Deep Multi-Instance Learning with Induced Self-Attention for Medical Image Classification

Zhenliang Li, Liming Yuan, Hai-Xia Xu, Rui Cheng, Xian-Bin Wen

IEEE International Conference on Bioinformatics and Biomedicine

DOI

2020

Local-Variance-Based Attention For Visual Tracking

Changlu Guo, Xian-Bin Wen, Liming Yuan, Hai-Xia Xu

IEEE International Conference on Multimedia and Expo

DOI

2020

Multiple-instance learning via multiple-point concept based instance selection

Liming Yuan, Guang-Ping Xu, Lu Zhao, Xian-Bin Wen, Hai-Xia Xu

International Journal of Machine Learning and Cybernetics

DOI

2020

Deep Tensor Capsule Network

Kun Sun, Liming Yuan, Hai-Xia Xu, Xian-Bin Wen

IEEE Access

DOI

2019

Factorization-Based Active Contour for Water-Land SAR Image Segmentation via the Fusion of Features

Qingxia Meng, Xian-Bin Wen, Liming Yuan, Hai-Xia Xu

IEEE Access

DOI

2019

A Precise and Stable Segmentation Algorithm of SAR Images Based on Random Weighting Method and Modified Level Set

Shanshan Lin, Xian-Bin Wen, Hai-Xia Xu, Liming Yuan, Qingxia Meng

IEEE Access

DOI

2019

Cluster-Based Tensorial Semisupervised Discriminant Analysis for Feature Extraction of SAR Images

Xiaoying Wu, Xian-Bin Wen, Liming Yuan, Changlu Guo, Hai-Xia Xu

IEEE Access

DOI

2018

An Iterative Instance Selection Based Framework for Multiple-Instance Learning

Liming Yuan, Xian-Bin Wen, Lu Zhao, Hai-Xia Xu

IEEE International Conference on Tools with Artificial Intelligence

DOI

2018

SAR Target Recognition with Discriminant Feature Extraction and Hypergraph

Nan Zhang, Hai-Xia Xu, Liming Yuan, Xian-Bin Wen

2018 IEEE 9th International Conference on Software Engineering and Service Science (ICSESS)

DOI

2018

Multiple- Instance Learning with Empirical Estimation Guided Instance Selection

Liming Yuan, Xian-Bin Wen, Hai-Xia Xu, Lu Zhao

International Conference on Pattern Recognition

DOI

2018

Synthetic Aperture Radar Image Segmentation with Reaction Diffusion Level Set Evolution Equation in an Active Contour Model

Jiaxing Liu, Xian-Bin Wen, Qingxia Meng, Hai-Xia Xu, Liming Yuan

Remote Sensing

DOI

2018

Local region-based level set approach for fast synthetic aperture radar image segmentation

Qingxia Meng, Xian-Bin Wen, Liming Yuan, Jiaxing Liu, Hai-Xia Xu

DOI

2017

Improving Multiple-Instance Learning via Disambiguation by Considering Generalization

Lu Zhao, Youjian Yu, Hao Chen, Liming Yuan

International Wireless Internet Conference

DOI

2017

Multi-Layer Model Based on Multi-Scale and Multi-Feature Fusion for SAR Images

Aobo Zhai, Xian-Bin Wen, Hai-Xia Xu, Liming Yuan, Qingxia Meng

Remote Sensing

DOI

2016

A robust approach of watermarking in contourlet domain based on probabilistic neural network

Jiaxing Liu, Xian-Bin Wen, Liming Yuan, Hai-Xia Xu

Multimedia tools and applications

DOI

2015

Multi-instance learning via instance-based and bag-based representation transformations

Liming Yuan, Lu Zhao, Hai-Xia Xu

International Conference on Information Photonics

DOI

2014

Combining example selection with instance selection to speed up multiple-instance learning

Liming Yuan, Jiafeng Liu, Xianglong Tang

Neurocomputing

DOI

2014

Pairwise-similarity-based instance reduction for efficient instance selection in multiple-instance learning

Liming Yuan, Jiafeng Liu, Xianglong Tang, D. Shi, Lu Zhao

International Journal of Machine Learning and Cybernetics

DOI

2014

Multiple-instance learning with pairwise instance similarity

Liming Yuan, Jiafeng Liu, Xianglong Tang

International Journal of Applied Mathematics and Computer Sciences

DOI

2012

Salient Instance Selection for Multiple-Instance Learning

Liming Yuan, Song-Bo Liu, Qingcheng Huang, Jiafeng Liu, Xianglong Tang

International Conference on Neural Information Processing

DOI

2012

Salience-Based Prototype Selection for K-Nearest Neighbor Classification in Multiple-Instance Learning

Liming Yuan, Qingcheng Huang, Jiafeng Liu, Xianglong Tang

Sino-foreign-interchange Workshop on Intelligent Science and Intelligent Data Engineering

DOI

精选作品

期刊论文

基于全局注意力的自监督对比学习遥感图像场景识别方法

A Deconvolution-Based Grating Lobes Reduction for Low-Oversampled Staggered SAR Image

MSAA‐MSDA: A Multi‐Source Domain Adaptation Method for Remote Sensing Scene Classification Based on Multi‐Scale Attention Aggregation

A multiple instance learning framework with instance identification and supervised contrastive learning for WSI classification

基于注意力机制和特征金字塔的水下扭曲图像重建网络

基于胶囊网络和图神经网络的糖尿病视网膜病变图像分级

基于标签互优化的领域自适应无监督行人重识别网络

AIF_Pix2Pix: An Ocean Front Airborne Infrared Image Generation Model

ACDR-CRAFF Net: A Multi-Scale Network Based on Adaptive Channel and Coordinate Relational Attention Network for Remote Sensing Scene Classification

Hfffap-net: unsupervised fundus image enhancement with high-frequency feature fusion and artifact processing

A lightweight enhanced branching attention model for remote sensing scene image classification

PLDF-S3: Pseudo-Label-Driven Framework for Offshore to Inshore Unsupervised SAR Image Ship Segmentation

基于图卷积网络的糖尿病视网膜病变分级模型

基于迁移学习和通道注意力的遥感图像场景分类

基于频域注意力的水下目标检测算法研究

On-borne automated detection of ocean internal waves in SAR images based on spatial features

A method for ocean front enhancement and automatic detection of SAR data

Deep neural network based on attention and feature complementary fusion for synthetic aperture radar image classification with small samples

Multiscale Attention-Based Subdomain Dynamic Adaptation for Cross-Domain Scene Classification

Self-supervised network for oriented synthetic aperture radar ship detection based on self-distillation

LPNet: A remote sensing scene classification method based on large kernel convolution and parameter fusion

Dynamic Convolution Covariance Network Using Multiscale Feature Fusion for Remote Sensing Scene Image Classification

Visual Tracking based on deformable Transformer and spatiotemporal information

A multi-scale dense residual correlation network for remote sensing scene classification

以示例得分为权重的深度多示例学习方法研究

A lightweight and stochastic depth residual attention network for remote sensing scene classification

Spatiotemporal key region transformer for visual tracking

多示例学习算法综述

End-To-End Retina Image Synthesis Based on CGAN Using Class Feature Loss and Improved Retinal Detail Loss

Multi-View Representation Learning for Multi-Instance Learning with Applications to Medical Image Classification

DASFTOT: Dual attention spatiotemporal fused transformer for object tracking

Generalized attention-based deep multi-instance learning

Multiple Regularization and Analysis of Deep Capsule Network

Correction: STASiamRPN: visual tracking based on spatiotemporal and attention

Deep Multi-Instance Learning with Adaptive Recurrent Pooling for Medical Image Classification

Dense capsule network for SAR automatic target recognition with limited data

A Remote-Sensing Scene-Image Classification Method Based on Deep Multiple-Instance Learning with a Residual Dense Attention ConvNet

Remote sensing scene image classification model based on multi-scale features and attention mechanism

基于张量投影的多特征非局部动态核稀疏表示的SAR图像分类

A tiny deep capsule network

Dense capsule networks with fewer parameters

STASiamRPN: visual tracking based on spatiotemporal and attention

Multi-Scale Attention Network Based on Multi-Feature Fusion for Person Re-Identification

Global Correlative Network for Person re-identification

Channel-exchanged feature representations for person re-identification

Multi-Feature Fusion and Adaptive Kernel Combination for SAR Image Classification

CSDS: End-to-End Aerial Scenes Classification With Depthwise Separable Convolution and an Attention Mechanism

Pose-guided feature region-based fusion network for occluded person re-identification

Deep capsule network regularization based on generative adversarial network framework

Learnable Bag Similarity Based Deep Multi-Instance Network for Breast Cancer Diagnosis

Deep Multi-Instance Learning with Induced Self-Attention for Medical Image Classification

Local-Variance-Based Attention For Visual Tracking

Multiple-instance learning via multiple-point concept based instance selection

Deep Tensor Capsule Network

Factorization-Based Active Contour for Water-Land SAR Image Segmentation via the Fusion of Features

A Precise and Stable Segmentation Algorithm of SAR Images Based on Random Weighting Method and Modified Level Set

Cluster-Based Tensorial Semisupervised Discriminant Analysis for Feature Extraction of SAR Images

An Iterative Instance Selection Based Framework for Multiple-Instance Learning

SAR Target Recognition with Discriminant Feature Extraction and Hypergraph

Multiple- Instance Learning with Empirical Estimation Guided Instance Selection

Synthetic Aperture Radar Image Segmentation with Reaction Diffusion Level Set Evolution Equation in an Active Contour Model

Local region-based level set approach for fast synthetic aperture radar image segmentation

Improving Multiple-Instance Learning via Disambiguation by Considering Generalization

Multi-Layer Model Based on Multi-Scale and Multi-Feature Fusion for SAR Images

A robust approach of watermarking in contourlet domain based on probabilistic neural network

Multi-instance learning via instance-based and bag-based representation transformations

Combining example selection with instance selection to speed up multiple-instance learning

Pairwise-similarity-based instance reduction for efficient instance selection in multiple-instance learning

Multiple-instance learning with pairwise instance similarity

Salient Instance Selection for Multiple-Instance Learning

Salience-Based Prototype Selection for K-Nearest Neighbor Classification in Multiple-Instance Learning

研究方向