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Xiaofei Nan
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2020 – today
- 2025
- [j14]Tianqing Hu, Xiaofei Nan, Qinglei Zhou, Renhao Lin, Yu Shen:
A model-based infrared and visible image fusion network with cooperative optimization. Expert Syst. Appl. 263: 125639 (2025) - 2024
- [j13]Chuanghui Wang, Yunqing Yang, Jinshuai Song, Xiaofei Nan:
Research Progresses and Applications of Knowledge Graph Embedding Technique in Chemistry. J. Chem. Inf. Model. 64(19): 7189-7213 (2024) - 2023
- [j12]Tianqing Hu, Qinglei Zhou, Xiaofei Nan, Renhao Lin:
A color image decomposition model for image enhancement. Neurocomputing 558: 126772 (2023) - [j11]Yizhuo Ding, Xiaofei Nan:
On Edge Detection Algorithms for Water-Repellent Images of Insulators Taking into Account Efficient Approaches. Symmetry 15(7): 1418 (2023) - [j10]Yuguang Li, Shuai Lu, Qiang Ma, Xiaofei Nan, Shoutao Zhang:
Protein-Protein Interaction Site Prediction Based on Attention Mechanism and Convolutional Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 20(6): 3820-3829 (2023) - 2022
- [j9]Renhao Lin, Qinglei Zhou, Bin Wu, Xiaofei Nan:
Robustness evaluation for deep neural networks via mutation decision boundaries analysis. Inf. Sci. 601: 147-161 (2022) - [j8]Shuai Lu, Yuguang Li, Fei Wang, Xiaofei Nan, Shoutao Zhang:
Leveraging Sequential and Spatial Neighbors Information by Using CNNs Linked With GCNs for Paratope Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 68-74 (2022) - 2021
- [c8]Shuai Lu, Yuguang Li, Xiaofei Nan, Shoutao Zhang:
Attention-based Convolutional Neural Networks for Protein-Protein Interaction Site Prediction. BIBM 2021: 141-144 - [c7]Shuai Lu, Yuguang Li, Xiaofei Nan, Shoutao Zhang:
A Sequence-Based Antibody Paratope Prediction Model Through Combing Local-Global Information and Partner Features. ISBRA 2021: 179-190 - 2020
- [j7]Weijun Zhu, Yingjie Han, Huanmei Wu, Yang Liu, Xiaofei Nan, Qinglei Zhou:
Predicting the results of molecular specific hybridization using boosted tree algorithm. Concurr. Comput. Pract. Exp. 32(1) (2020)
2010 – 2019
- 2017
- [j6]Li Yu, Zhenfei Wang, Xiaofei Nan, Bing Zhou:
DMGR: a Multipath Geographic Routing Strategy with the On-demand Mobile Sink in WSN. Ad Hoc Sens. Wirel. Networks 35(1-2): 1-24 (2017) - 2016
- [j5]Chao Li, Yumei Chai, Xiaofei Nan, Minglei Gao:
基于深度学习的问题分类方法研究 (Research on Problem Classification Method Based on Deep Learning). 计算机科学 43(12): 115-119 (2016) - [j4]Kun Li, Yumei Chai, Hongling Zhao, Yueshu Zhao, Xiaofei Nan:
基于深度神经网络的胎儿体重预测 (Estimation of Fetal Weight Based on Deep Neural Network). 计算机科学 43(Z11): 73-76 (2016) - [c6]Kaimin Wu, Xiaofei Nan, Yumei Chai, Liming Wang, Kun Li:
DTSP-V: A trend-based Top Scoring Pairs method for classification of time series gene expression data. BIBM 2016: 1787-1794 - [c5]Kun Li, Yumei Chai, Hongling Zhao, Xiaofei Nan, Yueshu Zhao:
Learning to Recognize Protected Health Information in Electronic Health Records with Recurrent Neural Network. NLPCC/ICCPOL 2016: 575-582 - 2012
- [j3]Gang Fu, Xiaofei Nan, Haining Liu, Ronak Y. Patel, Pankaj R. Daga, Yixin Chen, Dawn Wilkins, Robert J. Doerksen:
Implementation of multiple-instance learning in drug activity prediction. BMC Bioinform. 13(S-15): S3 (2012) - [j2]Xiaofei Nan, Nan Wang, Ping Gong, Chaoyang Zhang, Yixin Chen, Dawn Wilkins:
Biomarker discovery using 1-norm regularization for multiclass earthworm microarray gene expression data. Neurocomputing 92: 36-43 (2012) - 2011
- [j1]Xiaofei Nan, Gang Fu, Zhengdong Zhao, Sheng Liu, Ronak Y. Patel, Haining Liu, Pankaj R. Daga, Robert J. Doerksen, Xin Dang, Yixin Chen, Dawn Wilkins:
Leveraging domain information to restructure biological prediction. BMC Bioinform. 12(S-10): S22 (2011) - 2010
- [c4]Xiaofei Nan, Yixin Chen, Xin Dang, Dawn Wilkins:
Learning to rank using 1-norm regularization and convex hull reduction. ACM Southeast Regional Conference 2010: 31 - [c3]Chad Vicknair, Michael Macias, Zhendong Zhao, Xiaofei Nan, Yixin Chen, Dawn Wilkins:
A comparison of a graph database and a relational database: a data provenance perspective. ACM Southeast Regional Conference 2010: 42 - [c2]Xiaofei Nan, Nan Wang, Ping Gong, Chaoyang Zhang, Yixin Chen, Dawn Wilkins:
Gene selection using 1-norm regularization for multi-class microarray data. BIBM 2010: 520-524
2000 – 2009
- 2009
- [c1]Vasile Rus, Xiaofei Nan, Sajjan G. Shiva, Yixin Chen:
Clustering of Defect Reports Using Graph Partitioning Algorithms. SEKE 2009: 442-445
Coauthor Index
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