Nan Mu

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 50

Top Topics

Graph Embedding

Image Segmentation

Top Venues

Comput. Biol. Medicine

Publications

Yiyue Hu, Nan Mu, Lei Liu, Lei Zhang, Jingfeng Jiang, Xiaoning Li
Slimmable transformer with hybrid axial-attention for medical image segmentation. Comput. Biol. Medicine 173 (2024)
Chenggong Zhang, Daren Zha, Lei Wang, Nan Mu, Fuyong Xu
Exploiting Persona Perception for Diverse Generation from Limited Personalized Data. ICIC (LNAI 6) (2024)
Heng Yang, Nan Mu, Jinjia Guo, Yiyue Hu, Rong Wang
Video salient object detection via self-attention-guided multilayer cross-stack fusion. Multim. Tools Appl. 83 (17) (2024)
Zonghan Lyu, Nan Mu, Mostafa Rezaeitaleshmahalleh, Xiaoming Zhang, Robert McBane, Jingfeng Jiang
Automatic segmentation of intraluminal thrombosis of abdominal aortic aneurysms from CT angiography using a mixed-scale-driven multiview perception network (M2Net) model. Comput. Biol. Medicine 179 (2024)
Nan Mu, Zonghan Lyu, Mostafa Rezaeitaleshmahalleh, Xiaoming Zhang, Todd Rasmussen, Robert McBane, Jingfeng Jiang
Automatic segmentation of abdominal aortic aneurysms from CT angiography using a context-aware cascaded U-Net. Comput. Biol. Medicine 158 (2023)
Xianchao Zhang, Jinjia Guo, Nan Mu, Jingfeng Jiang
A Multi-Distance Feature Dissimilarity-Guided Encoder-Decoder Network for Polyp Segmentation. SMC (2023)
Heng Yang, Nan Mu, Jinjia Guo, Rong Wang
Exploring a Self-Attentive Multilayer Cross-Stacking Fusion Model for Video Salient Object Detection. SMC (2023)
Nan Mu, Zonghan Lyu, Xiaoming Zhang, Robert McBane, Aditya S. Pandey, Jingfeng Jiang
Exploring a frequency-domain attention-guided cascade U-Net: Towards spatially tunable segmentation of vasculature. Comput. Biol. Medicine 167 (2023)
Nan Mu, Zonghan Lyu, Mostafa Rezaeitaleshmahalleh, Jinshan Tang, Jingfeng Jiang
An attention residual u-net with differential preprocessing and geometric postprocessing: Learning how to segment vasculature including intracranial aneurysms. Medical Image Anal. 84 (2023)
Xing Wei, Na Gao, Mengru Xu, Mostafa Rezaeitaleshmahalleh, Nan Mu, Zonghan Lyu, Michael Ngala, Jingfeng Jiang, Xuelian Chang
Predicting Amyloid-β Positivity in Alzheimer's Disease: Comprehensive Analysis of Feature Selection and Machine Learning Models for Accurate Identification. Int. J. Online Biomed. Eng. 19 (17) (2023)
Dingyang Duan, Daren Zha, Xiao Yang, Jiahui Shen, Nan Mu
Dynamic Scale-free Graph Embedding via Self-attention. J. Web Eng. 22 (1) (2023)
Dingyang Duan, Daren Zha, Xiao Yang, Nan Mu, Jiahui Shen
Dynamic Network Embedding in Hyperbolic Space via Self-attention. ICWE (2022)
Xiaofang Wang, Yanhua Qiu, Xin Chen, Jialing Wu, Qianying Zou, Nan Mu
Decision Tree Fusion and Improved Fundus Image Classification Algorithm. GPC (2022)
Qianying Zou, Lin Xiao, Guang Xu, Xiaofang Wang, Nan Mu
Traffic Sign Image Segmentation Algorithm Based on Improved Spatio-Temporal Map Convolution. GPC (2022)
Xiaobo Guo, Neng Gao, Nan Mu, Yao Dong, Lei Wang, Yuanye He
GSDM: A Gated Semantic Discriminating Model for Knowledge Graph Completion. CSCWD (2022)
Guo Wang, Can Han, Qiangkun Li, Jingqiao Liu, Nan Mu, Jiang Li
Comprehensive evaluation of multi-criteria ship stowage schemes based on AHP-fuzzy-Topsis. EITCE (2022)
Xiaobo Guo, Neng Gao, Fali Wang, Nan Mu, Lei Wang, Yao Dong
BEFSR: A Multiple Attention-Based Model Considering Bidirectional Entity Information Flows and Few-Shot Relations. ICPR (2022)
Yu Zhang, Yiyue Hu, Nan Mu
MBNet: Detecting Salient Object in Low-Light Scenes. SMC (2022)
Yiyue Hu, Lei Zhang, Nan Mu, Lei Liu
Parameter-Efficient Transformer with Hybrid Axial-Attention for Medical Image Segmentation. CoRR (2022)
Hongyu Wang, Nan Mu, Heng Yang, Sun Mao
Coarse-Level Perception and Fine-Level Refinement Guided Fully Convolutional Network for Retinal Vessel Segmentation. ICCCS (2021)
Chenggong Zhang, Daren Zha, Lei Wang, Nan Mu
A Novel Analog Circuit Soft Fault Diagnosis Method Based on Convolutional Neural Network and Backward Difference. Symmetry 13 (6) (2021)
Nan Mu, Daren Zha
First-order and High-order Information Fusion over Heterogeneous Information Network for Top-N Recommendation System. CSCWD (2021)
Nan Mu, Hongyu Wang, Yu Zhang, Hongyu Han, Jun Yang
Saliency Detection in Weak Light Images via Optimal Feature Selection-Guided Seed Propagation. Sci. Program. 2021 (2021)
Nan Mu, Hongyu Wang, Yu Zhang, Jingfeng Jiang, Jinshan Tang
Progressive global perception and local polishing network for lung infection segmentation of COVID-19 CT images. Pattern Recognit. 120 (2021)
Hongyu Wang, Nan Mu, Yu Zhang, Heng Yang
A Non-local Hierarchical Refinement Fully Convolutional Network for COVID-19 Infected Region Segmentation. SMC (2021)
Nan Mu, Daren Zha, Yuanye He, Lin Zhao
Graph Attention Autoencoder for Collaborative Pair-wise Ranking. CSCWD (2021)
Hongyu Wang, Nan Mu, Yu Zhang
Video Salient Object Detection Network with Bidirectional Memory and Spatiotemporal Constraints. SMC (2021)
Nan Mu, Daren Zha, Rui Gong
Gated Knowledge Graph Neural Networks for Top-N Recommendation System. CSCWD (2021)
Nan Mu, Daren Zha, Lin Zhao, Rui Gong
Collaborative Denoising Graph Attention Autoencoders for Social Recommendation. SEKE (2020)
Nan Mu, Xin Xu, Xiaolong Zhang
Salient Object Detection in Low Contrast Images via Global Convolution and Boundary Refinement. CVPR Workshops (2019)
Nan Mu, Xin Xu, Xiaolong Zhang
A spatial-frequency-temporal domain based saliency model for low contrast video sequences. J. Vis. Commun. Image Represent. 58 (2019)
Yujing Zhou, Jia Peng, Lei Wang, Daren Zha, Nan Mu
SEDE: Semantic Evolution-based Dynamic Knowledge Graph Embedding. Aust. J. Intell. Inf. Process. Syst. 16 (4) (2019)
Nan Mu, Daren Zha, Yuanye He, Zhihao Tang
Graph Attention Networks for Neural Social Recommendation. ICTAI (2019)
Wei Yu, Daren Zha, Nan Mu, Tianshu Fu
Hybrid CNNs: A Rotation Equivariant Framework for High Resolution Spherical Images. ICDSP (2019)
Xin Xu, Xin Zhu, Nan Mu, Li Chen, Jing Tian
Saliency Computational Model for Foggy Images by Fusing Frequency and Spatial Cues. ICIP (2019)
Nan Mu, Xin Xu, Xiaolong Zhang
Finding autofocus region in low contrast surveillance images using CNN-based saliency algorithm. Pattern Recognit. Lett. 125 (2019)
Chenggong Zhang, Weijuan Zhang, Daren Zha, Pengjie Ren, Nan Mu
A Multi-granularity Neural Network for Answer Sentence Selection. IJCNN (2019)
Xin Zhu, Xin Xu, Nan Mu
Saliency Detection Based on the Combination of High-Level Knowledge and Low-Level Cues in Foggy Images. Entropy 21 (4) (2019)
Shoukang Han, Xiaobo Guo, Lei Wang, Zeyi Liu, Nan Mu
Adaptive-Skip-TransE Model: Breaking Relation Ambiguities for Knowledge Graph Embedding. KSEM (1) (2019)
Jiahui Shen, Ji Xiang, Nan Mu, Lei Wang
A New Image Classification Architecture Inspired by Working Memory. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2019)
Nan Mu, Xin Xu, Xiaolong Zhang, Hong Zhang
Salient object detection using a covariance-based CNN model in low-contrast images. Neural Comput. Appl. 29 (8) (2018)
Nan Mu, Xin Xu, Xiaolong Zhang, Xiaoli Lin
Discrete stationary wavelet transform based saliency information fusion from frequency and spatial domain in low contrast images. Pattern Recognit. Lett. 115 (2018)
Nan Mu, Xin Xu, Xiaolong Zhang
Ant Colony Optimization Based Salient Object Detection for Weak Light Images. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2018)
Nan Mu, Xin Xu, Xiaolong Zhang
Optimal Feature Selection for Saliency Seed Propagation in Low Contrast Images. PCM (3) (2018)
Nan Mu, Xin Xu, Xiaolong Zhang, Li Chen
Particle Swarm Optimization Based Salient Object Detection for Low Contrast Images. ICONIP (3) (2017)
Nan Mu, Xin Xu, Xiaolong Zhang
Estimation of Local and Global Superpixel Covariance for Salient Object Detection in Low Contrast Images. ICMLC (2017)
Xin Xu, Nan Mu, Xiaolong Zhang, Bo Li
Covariance descriptor based convolution neural network for saliency computation in low contrast images. IJCNN (2016)
Nan Mu, Xin Xu, Xiaolong Zhang
Salient Object Detection from Single Haze Images via Dark Channel Prior and Region Covariance Descriptor. IVS (2016)
Hua Yang, Xin Xu, Nan Mu
Saliency Detection Model for Low Contrast Images Based on Amplitude Spectrum Analysis and Superpixel Segmentation. BIC-TA (2) (2016)
Xin Xu, Nan Mu, Li Chen, Xiaolong Zhang
Hierarchical salient object detection model using contrast-based saliency and color spatial distribution. Multim. Tools Appl. 75 (5) (2016)
Nan Mu, Xin Xu
Superpixel-Based Global Contrast Driven Saliency Detection in Low Contrast Images. CCCV (1) (2015)
Xin Xu, Nan Mu, Hong Zhang, Xiaowei Fu
Salient object detection from distinctive features in low contrast images. ICIP (2015)
Nan Mu, Xin Xu, Ziheng Li
Hierarchical Features Fusion for Salient Object Detection in Low Contrast Images. ICIC (2) (2015)
Jie Tian, Yongyao Jiang, Yuqi Chen, Wenjun Li, Nan Mu
Automated human mobility mode detection based on GPS tracking data. Geoinformatics (2014)
Nan Mu, Xin Xu, Li Chen, Jing Tian
Block-Based Salient Region Detection Using a New Spatial-Spectral-Domain Contrast Measure. ISM (2014)
Nan Mu, Lanlan Rui, Shao-Yong Guo, Xuesong Qiu
Generalized Lagrange based Resource Negotiation Mechanism in MANETs. CNSM (2014)
Nan Mu, Lanlan Rui, Shao-Yong Guo, Xuesong Qiu
Theil-Equilibrium based Cooperation Mechanism for multi-services in ubiquitous stub enironments. APNOMS (2013)