| 2026 | PAKDD | Automated Multiple-Choice Question Generation: A Survey from a KDDM Perspective. | Nan Mu, Tsunenori Mine |
| 2025 | COLING | 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 |
| 2025 | ICASSP | 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 |
| 2025 | ICTAI | PMA-Net: Parallel Mixed Attention Network for Predicting Intracranial Aneurysm Rupture Risk. | Fuhao Zhang, Jialin Zhang, Xiaoning Li, Jingfeng Jiang, Chen Zhao, Nan Mu |
| 2025 | SMC | Joint Geometric Self-Attention and Boundary-Aware Search for High-Precision Intracranial Aneurysm Mesh Segmentation. | Shuang Li, Fuhao Zhang, Jialin Zhang, Ling Wang, Hui Zhou, Dapeng Chen, Jinshan Tang, Jingfeng Jiang, Nan Mu |
| 2025 | SMC | Progressive Multi-Scale Vision Transformer for Hierarchical Myocardial Segmentation in Cardiac MRI. | Lei Pu, Yangjie Li, Yuanwei Xu, Jingfeng Jiang, Jinshan Tang, Xiaoning Li, Yucheng Chen, Nan Mu |
| 2025 | SMC | A Transformer-Based Dual-Branch Mesh Convolutional Neural Network for Aortic Dissection Segmentation. | Yuan Zhang, Fuhao Zhang, Jialin Zhang, Ling Wang, Hui Zhou, Dapeng Chen, Jinshan Tang, Jingfeng Jiang, Nan Mu |
| 2025 | SMC | DMSA-Net: Deformable Multi-Head Self-Attention Network for Unsupervised Medical Image Registration. | Linxiao Zheng, Nan Mu, Xiaoning Li |
| 2024 | PRICAI | 3D Deformable Convolution for Medical Image Registration. | Tong Huang, Nan Mu, Haoyang Xing, Xiaoning Li |
| 2024 | PRICAI | HDF-SegNet: Dynamic Integration of Hierarchical Information for Cardiac Magnetic Resonance Image Segmentation. | Zijuan Wang, Yucheng Chen, Nan Mu, Xiaoning Li |
| 2023 | SMC | Exploring a Self-Attentive Multilayer Cross-Stacking Fusion Model for Video Salient Object Detection. | Heng Yang, Nan Mu, Jinjia Guo, Rong Wang |
| 2023 | SMC | A Multi-Distance Feature Dissimilarity-Guided Encoder-Decoder Network for Polyp Segmentation. | Xianchao Zhang, Jinjia Guo, Nan Mu, Jingfeng Jiang |
| 2022 | CSCWD | GSDM: A Gated Semantic Discriminating Model for Knowledge Graph Completion. | Xiaobo Guo, Neng Gao, Nan Mu, Yao Dong, Lei Wang, Yuanye He |
| 2022 | GPC | Decision Tree Fusion and Improved Fundus Image Classification Algorithm. | Xiaofang Wang, Yanhua Qiu, Xin Chen, Jialing Wu, Qianying Zou, Nan Mu |
| 2022 | GPC | Traffic Sign Image Segmentation Algorithm Based on Improved Spatio-Temporal Map Convolution. | Qianying Zou, Lin Xiao, Guang Xu, Xiaofang Wang, Nan Mu |
| 2022 | ICPR | 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, Yao Dong |
| 2022 | ICWE | Dynamic Network Embedding in Hyperbolic Space via Self-attention. | Dingyang Duan, Daren Zha, Xiao Yang, Nan Mu, Jiahui Shen |
| 2022 | SMC | MBNet: Detecting Salient Object in Low-Light Scenes. | Yu Zhang, Yiyue Hu, Nan Mu |
| 2021 | CSCWD | First-order and High-order Information Fusion over Heterogeneous Information Network for Top-N Recommendation System. | Nan Mu, Daren Zha |
| 2021 | CSCWD | Gated Knowledge Graph Neural Networks for Top-N Recommendation System. | Nan Mu, Daren Zha, Rui Gong |
| 2021 | CSCWD | Graph Attention Autoencoder for Collaborative Pair-wise Ranking. | Nan Mu, Daren Zha, Yuanye He, Lin Zhao |
| 2021 | SMC | Video Salient Object Detection Network with Bidirectional Memory and Spatiotemporal Constraints. | Hongyu Wang, Nan Mu, Yu Zhang |
| 2021 | SMC | A Non-local Hierarchical Refinement Fully Convolutional Network for COVID-19 Infected Region Segmentation. | Hongyu Wang, Nan Mu, Yu Zhang, Heng Yang |
| 2020 | SEKE | Collaborative Denoising Graph Attention Autoencoders for Social Recommendation. | Nan Mu, Daren Zha, Lin Zhao, Rui Gong |
| 2019 | CVPR | Salient Object Detection in Low Contrast Images via Global Convolution and Boundary Refinement. | Nan Mu, Xin Xu, Xiaolong Zhang |
| 2019 | ICIP | Saliency Computational Model for Foggy Images by Fusing Frequency and Spatial Cues. | Xin Xu, Xin Zhu, Nan Mu, Li Chen, Jing Tian |
| 2019 | IJCNN | A Multi-granularity Neural Network for Answer Sentence Selection. | Chenggong Zhang, Weijuan Zhang, Daren Zha, Pengjie Ren, Nan Mu |
| 2019 | ICTAI | Graph Attention Networks for Neural Social Recommendation. | Nan Mu, Daren Zha, Yuanye He, Zhihao Tang |
| 2019 | KSEM | Adaptive-Skip-TransE Model: Breaking Relation Ambiguities for Knowledge Graph Embedding. | Shoukang Han, Xiaobo Guo, Lei Wang, Zeyi Liu, Nan Mu |
| 2019 | UIC | A New Image Classification Architecture Inspired by Working Memory. | Jiahui Shen, Ji Xiang, Nan Mu, Lei Wang |
| 2018 | UIC | Ant Colony Optimization Based Salient Object Detection for Weak Light Images. | Nan Mu, Xin Xu, Xiaolong Zhang |
| 2017 | ICONIP | Particle Swarm Optimization Based Salient Object Detection for Low Contrast Images. | Nan Mu, Xin Xu, Xiaolong Zhang, Li Chen |
| 2016 | IJCNN | Covariance descriptor based convolution neural network for saliency computation in low contrast images. | Xin Xu, Nan Mu, Xiaolong Zhang, Bo Li |
| 2015 | ICIP | Salient object detection from distinctive features in low contrast images. | Xin Xu, Nan Mu, Hong Zhang, Xiaowei Fu |
| 2014 | CNSM | Generalized Lagrange based Resource Negotiation Mechanism in MANETs. | Nan Mu, Lanlan Rui, Shao-Yong Guo, Xuesong Qiu |
| 2014 | ISM | Block-Based Salient Region Detection Using a New Spatial-Spectral-Domain Contrast Measure. | Nan Mu, Xin Xu, Li Chen, Jing Tian |
| 2013 | APNOMS | Theil-Equilibrium based Cooperation Mechanism for multi-services in ubiquitous stub enironments. | Nan Mu, Lanlan Rui, Shao-Yong Guo, Xuesong Qiu |