Theil-Equilibrium based Cooperation Mechanism for multi-services in ubiquitous stub enironments. - Nan Mu; Lanlan Rui; Shao-Yong Guo; Xuesong Qiu 001 (APNOMS, 2013)

Generalized Lagrange based Resource Negotiation Mechanism in MANETs. - Nan Mu; Lanlan Rui; Shao-Yong Guo; Xuesong Qiu 001 (CNSM, 2014)

Automated human mobility mode detection based on GPS tracking data. - Jie Tian; Yongyao Jiang; Yuqi Chen 002; Wenjun Li; Nan Mu (Geoinformatics, 2014)

Block-Based Salient Region Detection Using a New Spatial-Spectral-Domain Contrast Measure. - Nan Mu; Xin Xu 007; Li Chen 011; Jing Tian 002 (ISM, 2014)

Superpixel-Based Global Contrast Driven Saliency Detection in Low Contrast Images. - Nan Mu; Xin Xu 007 (CCCV (1), 2015)

Hierarchical Features Fusion for Salient Object Detection in Low Contrast Images. - Nan Mu; Xin Xu 007; Ziheng Li (ICIC (2), 2015)

Salient object detection from distinctive features in low contrast images. - Xin Xu 007; Nan Mu; Hong Zhang 022; Xiaowei Fu (ICIP, 2015)

Saliency Detection Model for Low Contrast Images Based on Amplitude Spectrum Analysis and Superpixel Segmentation. - Hua Yang; Xin Xu 007; Nan Mu (BIC-TA (2), 2016)

Covariance descriptor based convolution neural network for saliency computation in low contrast images. - Xin Xu 007; Nan Mu; Xiaolong Zhang 002; Bo Li 002 (IJCNN, 2016)

Salient Object Detection from Single Haze Images via Dark Channel Prior and Region Covariance Descriptor. - Nan Mu; Xin Xu 007; Xiaolong Zhang 002 (IVS, 2016)

Hierarchical salient object detection model using contrast-based saliency and color spatial distribution. - Xin Xu 007; Nan Mu; Li Chen 011; Xiaolong Zhang 002 (Multim. Tools Appl., 2016)

Estimation of Local and Global Superpixel Covariance for Salient Object Detection in Low Contrast Images. - Nan Mu; Xin Xu 007; Xiaolong Zhang 002 (ICMLC, 2017)

Particle Swarm Optimization Based Salient Object Detection for Low Contrast Images. - Nan Mu; Xin Xu 007; Xiaolong Zhang 002; Li Chen 011 (ICONIP (3), 2017)

Optimal Feature Selection for Saliency Seed Propagation in Low Contrast Images. - Nan Mu; Xin Xu 007; Xiaolong Zhang 002 (PCM (3), 2018)

Ant Colony Optimization Based Salient Object Detection for Weak Light Images. - Nan Mu; Xin Xu 007; Xiaolong Zhang 002 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

Discrete stationary wavelet transform based saliency information fusion from frequency and spatial domain in low contrast images. - Nan Mu; Xin Xu 007; Xiaolong Zhang 002; Xiaoli Lin (Pattern Recognit. Lett., 2018)

Salient Object Detection in Low Contrast Images via Global Convolution and Boundary Refinement. - Nan Mu; Xin Xu 007; Xiaolong Zhang 002 (CVPR Workshops, 2019)

Hybrid CNNs: A Rotation Equivariant Framework for High Resolution Spherical Images. - Wei Yu; Daren Zha; Nan Mu; Tianshu Fu (ICDSP, 2019)

Saliency Computational Model for Foggy Images by Fusing Frequency and Spatial Cues. - Xin Xu 007; Xin Zhu; Nan Mu; Li Chen 011; Jing Tian 002 (ICIP, 2019)

Graph Attention Networks for Neural Social Recommendation. - Nan Mu; Daren Zha; Yuanye He; Zhihao Tang 001 (ICTAI, 2019)

A Multi-granularity Neural Network for Answer Sentence Selection. - Chenggong Zhang; Weijuan Zhang; Daren Zha; Pengjie Ren; Nan Mu (IJCNN, 2019)

Adaptive-Skip-TransE Model: Breaking Relation Ambiguities for Knowledge Graph Embedding. - Shoukang Han; Xiaobo Guo; Lei Wang 135; Zeyi Liu 002; Nan Mu (KSEM (1), 2019)

A New Image Classification Architecture Inspired by Working Memory. - Jiahui Shen; Ji Xiang; Nan Mu; Lei Wang 135 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

SEDE: Semantic Evolution-based Dynamic Knowledge Graph Embedding. - Yujing Zhou; Jia Peng; Lei Wang 135; Daren Zha; Nan Mu (Aust. J. Intell. Inf. Process. Syst., 2019)

Saliency Detection Based on the Combination of High-Level Knowledge and Low-Level Cues in Foggy Images. - Xin Zhu; Xin Xu 007; Nan Mu (Entropy, 2019)

A spatial-frequency-temporal domain based saliency model for low contrast video sequences. - Nan Mu; Xin Xu 007; Xiaolong Zhang 002 (J. Vis. Commun. Image Represent., 2019)

Finding autofocus region in low contrast surveillance images using CNN-based saliency algorithm. - Nan Mu; Xin Xu 007; Xiaolong Zhang 002 (Pattern Recognit. Lett., 2019)

Collaborative Denoising Graph Attention Autoencoders for Social Recommendation. - Nan Mu; Daren Zha; Lin Zhao; Rui Gong (SEKE, 2020)

Coarse-Level Perception and Fine-Level Refinement Guided Fully Convolutional Network for Retinal Vessel Segmentation. - Hongyu Wang; Nan Mu; Heng Yang; Sun Mao (ICCCS, 2021)

First-order and High-order Information Fusion over Heterogeneous Information Network for Top-N Recommendation System. - Nan Mu; Daren Zha (CSCWD, 2021)

Gated Knowledge Graph Neural Networks for Top-N Recommendation System. - Nan Mu; Daren Zha; Rui Gong (CSCWD, 2021)

Graph Attention Autoencoder for Collaborative Pair-wise Ranking. - Nan Mu; Daren Zha; Yuanye He; Lin Zhao (CSCWD, 2021)

Video Salient Object Detection Network with Bidirectional Memory and Spatiotemporal Constraints. - Hongyu Wang; Nan Mu; Yu Zhang (SMC, 2021)

A Non-local Hierarchical Refinement Fully Convolutional Network for COVID-19 Infected Region Segmentation. - Hongyu Wang; Nan Mu; Yu Zhang; Heng Yang (SMC, 2021)

Progressive global perception and local polishing network for lung infection segmentation of COVID-19 CT images. - Nan Mu; Hongyu Wang; Yu Zhang; Jingfeng Jiang; Jinshan Tang (Pattern Recognit., 2021)

Saliency Detection in Weak Light Images via Optimal Feature Selection-Guided Seed Propagation. - Nan Mu; Hongyu Wang; Yu Zhang; Hongyu Han; Jun Yang (Sci. Program., 2021)

A Novel Analog Circuit Soft Fault Diagnosis Method Based on Convolutional Neural Network and Backward Difference. - Chenggong Zhang; Daren Zha; Lei Wang 135; Nan Mu (Symmetry, 2021)

GSDM: A Gated Semantic Discriminating Model for Knowledge Graph Completion. - Xiaobo Guo; Neng Gao; Nan Mu; Yao Dong 003; Lei Wang 135; Yuanye He (CSCWD, 2022)

Comprehensive evaluation of multi-criteria ship stowage schemes based on AHP-fuzzy-Topsis. - Guo Wang; Can Han; Qiangkun Li; Jingqiao Liu; Nan Mu; Jiang Li (EITCE, 2022)

Decision Tree Fusion and Improved Fundus Image Classification Algorithm. - Xiaofang Wang; Yanhua Qiu; Xin Chen; Jialing Wu; Qianying Zou; Nan Mu (GPC, 2022)

Traffic Sign Image Segmentation Algorithm Based on Improved Spatio-Temporal Map Convolution. - Qianying Zou; Lin Xiao; Guang Xu; Xiaofang Wang; Nan Mu (GPC, 2022)

BEFSR: A Multiple Attention-Based Model Considering Bidirectional Entity Information Flows and Few-Shot Relations. - Xiaobo Guo; Neng Gao; Fali Wang; Nan Mu; Lei Wang 135; Yao Dong 003 (ICPR, 2022)

Dynamic Network Embedding in Hyperbolic Space via Self-attention. - Dingyang Duan; Daren Zha; Xiao Yang; Nan Mu; Jiahui Shen (ICWE, 2022)

MBNet: Detecting Salient Object in Low-Light Scenes. - Yu Zhang; Yiyue Hu; Nan Mu (SMC, 2022)

Parameter-Efficient Transformer with Hybrid Axial-Attention for Medical Image Segmentation. - Yiyue Hu; Lei Zhang; Nan Mu; Lei Liu (CoRR, 2022)

Exploring a Self-Attentive Multilayer Cross-Stacking Fusion Model for Video Salient Object Detection. - Heng Yang; Nan Mu; Jinjia Guo; Rong Wang 006 (SMC, 2023)

A Multi-Distance Feature Dissimilarity-Guided Encoder-Decoder Network for Polyp Segmentation. - Xianchao Zhang 004; Jinjia Guo; Nan Mu; Jingfeng Jiang (SMC, 2023)

Predicting Amyloid-β Positivity in Alzheimer's Disease: Comprehensive Analysis of Feature Selection and Machine Learning Models for Accurate Identification. - Xing Wei; Na Gao; Mengru Xu; Mostafa Rezaeitaleshmahalleh; Nan Mu; Zonghan Lyu; Michael Ngala; Jingfeng Jiang; Xuelian Chang (Int. J. Online Biomed. Eng., 2023)

Dynamic Scale-free Graph Embedding via Self-attention. - Dingyang Duan; Daren Zha; Xiao Yang; Jiahui Shen; Nan Mu (J. Web Eng., 2023)

An attention residual u-net with differential preprocessing and geometric postprocessing: Learning how to segment vasculature including intracranial aneurysms. - Nan Mu; Zonghan Lyu; Mostafa Rezaeitaleshmahalleh; Jinshan Tang; Jingfeng Jiang (Medical Image Anal., 2023)

Automatic segmentation of abdominal aortic aneurysms from CT angiography using a context-aware cascaded U-Net. - Nan Mu; Zonghan Lyu; Mostafa Rezaeitaleshmahalleh; Xiaoming Zhang; Todd Rasmussen; Robert McBane; Jingfeng Jiang (Comput. Biol. Medicine, 2023)

Exploring a frequency-domain attention-guided cascade U-Net: Towards spatially tunable segmentation of vasculature. - Nan Mu; Zonghan Lyu; Xiaoming Zhang; Robert McBane; Aditya S. Pandey; Jingfeng Jiang (Comput. Biol. Medicine, 2023)

Exploiting Persona Perception for Diverse Generation from Limited Personalized Data. - Chenggong Zhang; Daren Zha; Lei Wang 135; Nan Mu; Fuyong Xu (ICIC (LNAI 6), 2024)

A Meta-pattern-enhanced Generative Few-shot Attribute Extraction Framework for Open-world Sparse Corpora. - Xiyu Liu 003; Xiaobo Guo; Xin Wang 086; Zeyi Liu 002; Nan Mu; Tianshu Fu; Ji Xiang (MSN, 2024)

3D Deformable Convolution for Medical Image Registration. - Tong Huang; Nan Mu; Haoyang Xing; Xiaoning Li (PRICAI (5), 2024)

HDF-SegNet: Dynamic Integration of Hierarchical Information for Cardiac Magnetic Resonance Image Segmentation. - Zijuan Wang; Yucheng Chen; Nan Mu; Xiaoning Li (PRICAI (5), 2024)

Slimmable transformer with hybrid axial-attention for medical image segmentation. - Yiyue Hu; Nan Mu; Lei Liu; Lei Zhang; Jingfeng Jiang; Xiaoning Li (Comput. Biol. Medicine, 2024)

Automatic segmentation of intraluminal thrombosis of abdominal aortic aneurysms from CT angiography using a mixed-scale-driven multiview perception network (M2Net) model. - Zonghan Lyu; Nan Mu; Mostafa Rezaeitaleshmahalleh; Xiaoming Zhang; Robert McBane; Jingfeng Jiang (Comput. Biol. Medicine, 2024)

Towards Multi-Source Retrieval-Augmented Generation via Synergizing Reasoning and Preference-Driven Retrieval. - Qingfei Zhao; Ruobing Wang; Xin Wang 086; Daren Zha; Nan Mu (CoRR, 2024)

FaaSr: R Package for Function-as-a-Service Cloud Computing. - Sungjae Park; Yun-Jung Ku; Nan Mu; Vahid Daneshmand; R. Quinn Thomas; Cayelan C. Carey; Renato J. O. Figueiredo (J. Open Source Softw., 2024)

Video salient object detection via self-attention-guided multilayer cross-stack fusion. - Heng Yang; Nan Mu; Jinjia Guo; Yiyue Hu; Rong Wang 006 (Multim. Tools Appl., 2024)

Fusion meets Function: The Adaptive Selection-Generation Approach in Event Argument Extraction. - Guoxuan Ding; Xiaobo Guo; Xin Wang; Lei Wang; Tianshu Fu; Nan Mu; Daren Zha (COLING, 2025)

A Diffusion Model over Directed Acyclic Graphs for Event Schema Generation. - Guoxuan Ding; Haotian Jin; Xiaobo Guo; Xin Wang; Nan Mu; Lei Wang; Daren Zha (ICASSP, 2025)

Towards Robust Polyp Segmentation: Multi-Focus Attention Network with Fine-grained Polyp Cues. - Nan Mu; Xianchao Zhang 004; Yazhou Feng; Xiaoning Li; Jingfeng Jiang; Lei Liu (ICMR, 2025)

Spatial Bi-Exploration for Robust Camouflaged Object Detection. - Jialin Zhang; Xiao Wang 029; Xin Yuan 009; Nan Mu; Zheng Wang 007 (IEEE Signal Process. Lett., 2025)

A Wavelet-Guided Deep Unfolding Network for Single Image Reflection Removal. - Ya-Nan Zhang; Qiufu Li; Xu Wu; Nan Mu; Xiaoning Li; Linlin Shen (IEEE Trans. Image Process., 2025)

Multi-Disease-Aware Training Strategy for Cardiac MR Image Segmentation. - Hong Zheng; Yucheng Chen; Nan Mu; Xiaoning Li (CoRR, 2025)

FAD-Net: Frequency-Domain Attention-Guided Diffusion Network for Coronary Artery Segmentation using Invasive Coronary Angiography. - Nan Mu; Ruiqi Song; Xiaoning Li; Zhihui Xu; Jingfeng Jiang; Chen Zhao (CoRR, 2025)

An Uncertainty-Aware Dynamic Decision Framework for Progressive Multi-Omics Integration in Classification Tasks. - Nan Mu; Hongbo Yang; Chen Zhao (CoRR, 2025)

Context-aware target texture perturbation attack for concealed object detection. - Jialin Zhang; Xiao Wang; Hui Wei; Kui Jiang; Nan Mu; Zheng Wang (Vis. Comput., 2025)