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2020 – today
- 2025
[c41]Guoxuan Ding, Xiaobo Guo, Xin Wang, Lei Wang, Tianshu Fu, Nan Mu, Daren Zha:
Fusion meets Function: The Adaptive Selection-Generation Approach in Event Argument Extraction. COLING 2025: 4359-4369- 2024
- [j18]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: 108370 (2024) - [j17]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: 108838 (2024) - [j16]Sungjae Park, Yun-Jung Ku, Nan Mu, Vahid Daneshmand, R. Quinn Thomas, Cayelan C. Carey, Renato J. O. Figueiredo:
FaaSr: R Package for Function-as-a-Service Cloud Computing. J. Open Source Softw. 9(103): 7027 (2024) - [j15]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): 51853-51866 (2024) - [c40]Chenggong Zhang, Daren Zha, Lei Wang, Nan Mu, Fuyong Xu:
Exploiting Persona Perception for Diverse Generation from Limited Personalized Data. ICIC (LNAI 6) 2024: 215-226 - [c39]Tong Huang, Nan Mu, Haoyang Xing, Xiaoning Li:
3D Deformable Convolution for Medical Image Registration. PRICAI (5) 2024: 179-191 - [c38]Zijuan Wang, Yucheng Chen, Nan Mu, Xiaoning Li:
HDF-SegNet: Dynamic Integration of Hierarchical Information for Cardiac Magnetic Resonance Image Segmentation. PRICAI (5) 2024: 192-203 - [i2]Qingfei Zhao, Ruobing Wang, Xin Wang, Daren Zha, Nan Mu:
Towards Multi-Source Retrieval-Augmented Generation via Synergizing Reasoning and Preference-Driven Retrieval. CoRR abs/2411.00689 (2024) - 2023
- [j14]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: 106569 (2023) - [j13]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: 107648 (2023) - [j12]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): 98-114 (2023) - [j11]Dingyang Duan, Daren Zha, Xiao Yang, Jiahui Shen, Nan Mu:
Dynamic Scale-free Graph Embedding via Self-attention. J. Web Eng. 22(1): 55-78 (2023) - [j10]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: 102697 (2023) - [c37]Xianchao Zhang, Jinjia Guo, Nan Mu, Jingfeng Jiang:
A Multi-Distance Feature Dissimilarity-Guided Encoder-Decoder Network for Polyp Segmentation. SMC 2023: 3671-3676 - [c36]Heng Yang, Nan Mu, Jinjia Guo, Rong Wang:
Exploring a Self-Attentive Multilayer Cross-Stacking Fusion Model for Video Salient Object Detection. SMC 2023: 3956-3961 - 2022
- [c35]Xiaobo Guo, Neng Gao, Nan Mu, Yao Dong, Lei Wang, Yuanye He:
GSDM: A Gated Semantic Discriminating Model for Knowledge Graph Completion. CSCWD 2022: 1360-1365 - [c34]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: 411-416 - [c33]Xiaofang Wang, Yanhua Qiu, Xin Chen, Jialing Wu, Qianying Zou, Nan Mu:
Decision Tree Fusion and Improved Fundus Image Classification Algorithm. GPC 2022: 35-49 - [c32]Qianying Zou, Lin Xiao, Guang Xu, Xiaofang Wang, Nan Mu:
Traffic Sign Image Segmentation Algorithm Based on Improved Spatio-Temporal Map Convolution. GPC 2022: 81-98 - [c31]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: 4441-4447 - [c30]Dingyang Duan, Daren Zha, Xiao Yang, Nan Mu, Jiahui Shen:
Dynamic Network Embedding in Hyperbolic Space via Self-attention. ICWE 2022: 189-203 - [c29]Yu Zhang, Yiyue Hu, Nan Mu:
MBNet: Detecting Salient Object in Low-Light Scenes. SMC 2022: 3119-3124 - [i1]Yiyue Hu, Lei Zhang, Nan Mu, Lei Liu:
Parameter-Efficient Transformer with Hybrid Axial-Attention for Medical Image Segmentation. CoRR abs/2211.09533 (2022) - 2021
- [j9]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: 108168 (2021) - [j8]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: 9921831:1-9921831:17 (2021) - [j7]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): 1096 (2021) - [c28]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: 341-346 - [c27]Nan Mu, Daren Zha, Yuanye He, Lin Zhao:
Graph Attention Autoencoder for Collaborative Pair-wise Ranking. CSCWD 2021: 1063-1068 - [c26]Nan Mu, Daren Zha:
First-order and High-order Information Fusion over Heterogeneous Information Network for Top-N Recommendation System. CSCWD 2021: 1105-1110 - [c25]Nan Mu, Daren Zha, Rui Gong:
Gated Knowledge Graph Neural Networks for Top-N Recommendation System. CSCWD 2021: 1111-1116 - [c24]Hongyu Wang, Nan Mu, Yu Zhang, Heng Yang:
A Non-local Hierarchical Refinement Fully Convolutional Network for COVID-19 Infected Region Segmentation. SMC 2021: 2775-2780 - [c23]Hongyu Wang, Nan Mu, Yu Zhang:
Video Salient Object Detection Network with Bidirectional Memory and Spatiotemporal Constraints. SMC 2021: 2781-2786 - 2020
- [c22]Nan Mu, Daren Zha, Lin Zhao, Rui Gong:
Collaborative Denoising Graph Attention Autoencoders for Social Recommendation. SEKE 2020: 519-524
2010 – 2019
- 2019
- [j6]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): 64-73 (2019) - [j5]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): 374 (2019) - [j4]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: 79-88 (2019) - [j3]Nan Mu, Xin Xu, Xiaolong Zhang:
Finding autofocus region in low contrast surveillance images using CNN-based saliency algorithm. Pattern Recognit. Lett. 125: 124-132 (2019) - [c21]Nan Mu, Xin Xu, Xiaolong Zhang:
Salient Object Detection in Low Contrast Images via Global Convolution and Boundary Refinement. CVPR Workshops 2019: 743-751 - [c20]Wei Yu, Daren Zha, Nan Mu, Tianshu Fu:
Hybrid CNNs: A Rotation Equivariant Framework for High Resolution Spherical Images. ICDSP 2019: 38-42 - [c19]Xin Xu, Xin Zhu, Nan Mu, Li Chen, Jing Tian:
Saliency Computational Model for Foggy Images by Fusing Frequency and Spatial Cues. ICIP 2019: 959-963 - [c18]Nan Mu, Daren Zha, Yuanye He, Zhihao Tang:
Graph Attention Networks for Neural Social Recommendation. ICTAI 2019: 1320-1327 - [c17]Chenggong Zhang, Weijuan Zhang, Daren Zha, Pengjie Ren, Nan Mu:
A Multi-granularity Neural Network for Answer Sentence Selection. IJCNN 2019: 1-7 - [c16]Shoukang Han, Xiaobo Guo, Lei Wang, Zeyi Liu, Nan Mu:
Adaptive-Skip-TransE Model: Breaking Relation Ambiguities for Knowledge Graph Embedding. KSEM (1) 2019: 549-560 - [c15]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: 936-943 - 2018
- [j2]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: 84-91 (2018) - [c14]Nan Mu, Xin Xu, Xiaolong Zhang:
Optimal Feature Selection for Saliency Seed Propagation in Low Contrast Images. PCM (3) 2018: 35-45 - [c13]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: 1432-1437 - 2017
- [c12]Nan Mu, Xin Xu, Xiaolong Zhang:
Estimation of Local and Global Superpixel Covariance for Salient Object Detection in Low Contrast Images. ICMLC 2017: 314-319 - [c11]Nan Mu, Xin Xu, Xiaolong Zhang, Li Chen:
Particle Swarm Optimization Based Salient Object Detection for Low Contrast Images. ICONIP (3) 2017: 602-612 - 2016
- [j1]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): 2667-2679 (2016) - [c10]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: 454-460 - [c9]Xin Xu, Nan Mu, Xiaolong Zhang, Bo Li:
Covariance descriptor based convolution neural network for saliency computation in low contrast images. IJCNN 2016: 616-623 - [c8]Nan Mu, Xin Xu, Xiaolong Zhang:
Salient Object Detection from Single Haze Images via Dark Channel Prior and Region Covariance Descriptor. IVS 2016: 99-106 - 2015
- [c7]Nan Mu, Xin Xu:
Superpixel-Based Global Contrast Driven Saliency Detection in Low Contrast Images. CCCV (1) 2015: 407-417 - [c6]Nan Mu, Xin Xu, Ziheng Li:
Hierarchical Features Fusion for Salient Object Detection in Low Contrast Images. ICIC (2) 2015: 295-306 - [c5]Xin Xu, Nan Mu, Hong Zhang, Xiaowei Fu:
Salient object detection from distinctive features in low contrast images. ICIP 2015: 3126-3130 - 2014
- [c4]Nan Mu, Lanlan Rui, Shao-Yong Guo, Xuesong Qiu:
Generalized Lagrange based Resource Negotiation Mechanism in MANETs. CNSM 2014: 218-223 - [c3]Jie Tian, Yongyao Jiang, Yuqi Chen, Wenjun Li, Nan Mu:
Automated human mobility mode detection based on GPS tracking data. Geoinformatics 2014: 1-6 - [c2]Nan Mu, Xin Xu, Li Chen, Jing Tian:
Block-Based Salient Region Detection Using a New Spatial-Spectral-Domain Contrast Measure. ISM 2014: 86-89 - 2013
- [c1]Nan Mu, Lanlan Rui, Shao-Yong Guo, Xuesong Qiu:
Theil-Equilibrium based Cooperation Mechanism for multi-services in ubiquitous stub enironments. APNOMS 2013: 1-3
Coauthor Index
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last updated on 2025-01-30 20:31 CET by the dblp team
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