On Spectral Analysis of Signed and Dispute Graphs. - Leting Wu; Xintao Wu; Aidong Lu; Yuemeng Li (ICDM, 2014)

Analysis of Spectral Space Properties of Directed Graphs Using Matrix Perturbation Theory with Application in Graph Partition. - Yuemeng Li; Xintao Wu; Aidong Lu (ICDM, 2015)

Social network dominance based on analysis of asymmetry. - Yuemeng Li; Xintao Wu; Song Yang (ASONAM, 2016)

Comparison of quantitative myocardial perfusion imaging CT to fluorescent microsphere-based flow from high-resolution cryo-images. - Brendan L. Eck; Rachid Fahmi; Jacob Levi; Anas Fares; Hao Wu 068; Yuemeng Li; Mani Vembar; Amar Dhanantwari; Hiram G. Bezerra; David L. Wilson (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2016)

On Spectral Analysis of Directed Signed Graphs. - Yuemeng Li; Xintao Wu; Aidong Lu (DSAA, 2017)

Interactive Movie Recommendation Through Latent Semantic Analysis and Storytelling. - Kodzo Wegba; Aidong Lu; Yuemeng Li; Wencheng Wang (CoRR, 2017)

On Spectral Analysis of Signed and Dispute Graphs: Application to Community Structure. - Leting Wu; Xintao Wu; Aidong Lu; Yuemeng Li (IEEE Trans. Knowl. Data Eng., 2017)

Immersive Visualization for Abnormal Detection in Heterogeneous Data for On-site Decision Making. - Elias Mahfoud; Kodzo Wegba; Yuemeng Li; Honglei Han; Aidong Lu (HICSS, 2018)

Interactive Storytelling for Movie Recommendation through Latent Semantic Analysis. - Kodzo Wegba; Aidong Lu; Yuemeng Li; Wencheng Wang 001 (IUI, 2018)

SLIC robust (SLICR) processing for fast, robust CT myocardial blood flow quantification. - Hao Wu 068; Brendan L. Eck; Jacob Levi; Anas Fares; Yuemeng Li; Di Wen 001; Hiram G. Bezerra; David L. Wilson (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases and Identifying Abnormalities. - Bo Zhou 009; Yuemeng Li; Jiangcong Wang (CoRR, 2018)

On spectral analysis of directed signed graphs. - Yuemeng Li; Shuhan Yuan; Xintao Wu; Aidong Lu (Int. J. Data Sci. Anal., 2018)

A Deep Learning Method for Material Performance Recognition in Laser Additive Manufacturing. - Yuemeng Li; Hairong Yan; Yuefei Zhang (INDIN, 2019)

Adaptive Sparsity Regularization Based Collaborative Clustering for Cancer Prognosis. - Hangfan Liu; Hongming Li; Yuemeng Li; Shi Yin; Pamela Boimel; James Janopaul-Naylor; Haoyu Zhong; Ying Xiao; Edgar Ben-Josef; Yong Fan 001 (MICCAI (4), 2019)

Dynamic Anomaly Detection Using Vector Autoregressive Model. - Yuemeng Li; Aidong Lu; Xintao Wu; Shuhan Yuan (PAKDD (1), 2019)

DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder ConvNets for Pulmonary Nodule Detection. - Yuemeng Li; Hangfan Liu; Yong Fan 001 (CoRR, 2019)

Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation. - Yuemeng Li; Hangfan Liu; Hongming Li; Yong Fan 001 (CoRR, 2019)

Context-endcoding for neural network based skull stripping in magnetic resonance imaging. - Zhen Liu; Borui Xiao; Yuemeng Li; Yong Fan 001 (CoRR, 2019)

DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder Convolutional Neural Networks for Pulmonary Nodule Detection. - Yuemeng Li; Yang Fan (ISBI, 2020)

An Automatic and Rapid Knowledge Graph Construction Method of SG-CIM Model. - Guidong Wu; Hang Li; Xiaoqi Liao; Yuemeng Li; Yu Huang 004; Xiang Chen; Qi Liu; Xueyang Liu (SmartCloud, 2020)

Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging. - Tianming Du; Honggang Zhang 002; Yuemeng Li; Hee Kwon Song; Yong Fan 001 (CoRR, 2020)

Robust Collaborative Clustering of Subjects and Radiomic Features for Cancer Prognosis. - Hangfan Liu; Hongming Li; Mohamad Habes; Yuemeng Li; Pamela Boimel; James Janopaul-Naylor; Ying Xiao; Edgar Ben-Josef; Yong Fan 001 (IEEE Trans. Biomed. Eng., 2020)

Adaptive convolutional neural networks for accelerating magnetic resonance imaging via k-space data interpolation. - Tianming Du; Honggang Zhang 002; Yuemeng Li; Stephen Pickup; Mark Rosen; Rong Zhou; Hee Kwon Song; Yong Fan 001 (Medical Image Anal., 2021)

ACEnet: Anatomical context-encoding network for neuroanatomy segmentation. - Yuemeng Li; Hongming Li; Yong Fan 001 (Medical Image Anal., 2021)

Analysis on Visual Tracking Algorithms. - Yuemeng Li; Yiming Wang (ICISCAE, 2022)

Learning Apparent Diffusion Coefficient Maps from Undersampled Radial k-Space Diffusion-Weighted MRI in Mice using a Deep CNN-Transformer Model in Conjunction with a Monoexponential Model. - Yuemeng Li; Hee Kwon Song; Miguel Romanello Joaquim; Stephen Pickup; Rong Zhou; Yong Fan 001 (CoRR, 2022)

Medical Image Segmentation with Domain Adaptation: A Survey. - Yuemeng Li; Yong Fan 001 (CoRR, 2023)

Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation. - Xiaoyang Chen; Hao Zheng 006; Yuemeng Li; Yuncong Ma; Liang Ma; Hongming Li; Yong Fan 001 (CVPR, 2024)