Clustering of Defect Reports Using Graph Partitioning Algorithms. - Vasile Rus; Xiaofei Nan; Sajjan G. Shiva; Yixin Chen (SEKE, 2009)

Learning to rank using 1-norm regularization and convex hull reduction. - Xiaofei Nan; Yixin Chen 002; Xin Dang; Dawn Wilkins (ACM Southeast Regional Conference, 2010)

A comparison of a graph database and a relational database: a data provenance perspective. - Chad Vicknair; Michael Macias; Zhendong Zhao; Xiaofei Nan; Yixin Chen 002; Dawn Wilkins (ACM Southeast Regional Conference, 2010)

Gene selection using 1-norm regularization for multi-class microarray data. - Xiaofei Nan; Nan Wang 002; Ping Gong 001; Chaoyang Zhang; Yixin Chen 002; Dawn Wilkins (BIBM, 2010)

Leveraging domain information to restructure biological prediction. - Xiaofei Nan; Gang Fu; Zhengdong Zhao; Sheng Liu; Ronak Y. Patel; Haining Liu; Pankaj R. Daga; Robert J. Doerksen; Xin Dang; Yixin Chen 002; Dawn Wilkins (BMC Bioinform., 2011)

Implementation of multiple-instance learning in drug activity prediction. - Gang Fu; Xiaofei Nan; Haining Liu; Ronak Y. Patel; Pankaj R. Daga; Yixin Chen 002; Dawn Wilkins; Robert J. Doerksen (BMC Bioinform., 2012)

Biomarker discovery using 1-norm regularization for multiclass earthworm microarray gene expression data. - Xiaofei Nan; Nan Wang 002; Ping Gong 001; Chaoyang Zhang; Yixin Chen 002; Dawn Wilkins (Neurocomputing, 2012)

DTSP-V: A trend-based Top Scoring Pairs method for classification of time series gene expression data. - Kaimin Wu; Xiaofei Nan; Yumei Chai; Liming Wang; Kun Li (BIBM, 2016)

Learning to Recognize Protected Health Information in Electronic Health Records with Recurrent Neural Network. - Kun Li; Yumei Chai; Hongling Zhao; Xiaofei Nan; Yueshu Zhao (NLPCC/ICCPOL, 2016)

基于深度学习的问题分类方法研究 (Research on Problem Classification Method Based on Deep Learning). - Chao Li; Yumei Chai; Xiaofei Nan; Minglei Gao (计算机科学, 2016)

基于深度神经网络的胎儿体重预测 (Estimation of Fetal Weight Based on Deep Neural Network). - Kun Li; Yumei Chai; Hongling Zhao; Yueshu Zhao; Xiaofei Nan (计算机科学, 2016)

DMGR: a Multipath Geographic Routing Strategy with the On-demand Mobile Sink in WSN. - Li Yu; Zhenfei Wang; Xiaofei Nan; Bing Zhou (Ad Hoc Sens. Wirel. Networks, 2017)

Predicting the results of molecular specific hybridization using boosted tree algorithm. - Weijun Zhu; Yingjie Han; Huanmei Wu; Yang Liu 050; Xiaofei Nan; Qinglei Zhou (Concurr. Comput. Pract. Exp., 2020)

Attention-based Convolutional Neural Networks for Protein-Protein Interaction Site Prediction. - Shuai Lu; Yuguang Li; Xiaofei Nan; Shoutao Zhang (BIBM, 2021)

A Sequence-Based Antibody Paratope Prediction Model Through Combing Local-Global Information and Partner Features. - Shuai Lu; Yuguang Li; Xiaofei Nan; Shoutao Zhang (ISBRA, 2021)

Robustness evaluation for deep neural networks via mutation decision boundaries analysis. - Renhao Lin; Qinglei Zhou; Bin Wu; Xiaofei Nan (Inf. Sci., 2022)

Leveraging Sequential and Spatial Neighbors Information by Using CNNs Linked With GCNs for Paratope Prediction. - Shuai Lu; Yuguang Li; Fei Wang; Xiaofei Nan; Shoutao Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Protein-Protein Interaction Site Prediction Based on Attention Mechanism and Convolutional Neural Networks. - Yuguang Li; Shuai Lu; Qiang Ma; Xiaofei Nan; Shoutao Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

On Edge Detection Algorithms for Water-Repellent Images of Insulators Taking into Account Efficient Approaches. - Yizhuo Ding; Xiaofei Nan (Symmetry, 2023)

A color image decomposition model for image enhancement. - Tianqing Hu; Qinglei Zhou; Xiaofei Nan; Renhao Lin (Neurocomputing, 2023)

Research Progresses and Applications of Knowledge Graph Embedding Technique in Chemistry. - Chuanghui Wang; Yunqing Yang; Jinshuai Song; Xiaofei Nan (J. Chem. Inf. Model., 2024)

A model-based infrared and visible image fusion network with cooperative optimization. - Tianqing Hu; Xiaofei Nan; Qinglei Zhou; Renhao Lin; Yu Shen (Expert Syst. Appl., 2025)