Xiaofei Nan

29 papers C 1Misc 1Journal 17Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Elucidating the role of the T790M mutation in BLU-945 selectivity for mutant EGFR: structural and energetic insights.
J. Comput. Aided Mol. Des.
Amina Tariq, Muhammad Shoaib, Lingbo Qu, Xiaofei Nan, Jinshuai Song
2025 J jnl
A model-based infrared and visible image fusion network with cooperative optimization.
Expert Syst. Appl.
Tianqing Hu, Xiaofei Nan, Qinglei Zhou, Renhao Lin, Yu Shen
2025 — conf
CGLDM: A Conditional Geometric Latent Diffusion Model for 3D Molecular Generation.
ICIC (25)
Xuezhen Liu, Chuanghui Wang, Xing You, Chengxiang Ji, Xiaofei Nan
2025 — conf
DefGAN-Im: Adversarial Industrial Defect Synthesis with Conditional Feature Disentanglement on Imbalanced Datasets.
ICIC (11)
Xiaofei Nan, Yiming Zhu, Jinyu Fan, Wenyang Li, Yuzhuo Wang, Xiaoheng Jiang
2025 Misc conf
Enhanced Corneal Endothelial Cell Segmentation via Frequency-Selected Residual Fourier Diffusion Models.
ICASSP
Tianyang Wang, Xiaofei Nan, Yunze Wang, Yuhang Yan, Zhenkai Gao, Jingxin Liu
2025 J jnl
HSSPPI: hierarchical and spatial-sequential modeling for PPIs prediction.
Briefings Bioinform.
Yuguang Li, Zhen Tian, Xiaofei Nan, Shoutao Zhang, Qinglei Zhou, Shuai Lu
2025 — conf
PGDiff: A Physics-Guided Equivariant Diffusion Model for Structure-Based Drug Design.
BIBM
Xiaofei Nan, Xuezhen Liu, Xing You, Yongsheng Du, Chengxiang Ji, Jinshuai Song
2025 J jnl
Progressive Feature Enhancement Network for Surface Defect Segmentation.
IEEE Trans. Emerg. Top. Comput. Intell.
Feng Yan, Xiaoheng Jiang, Yunxia Zhang, Yang Lu, Xiaofei Nan, Shuo He, Ming Liang Xu
2024 J jnl
Research Progresses and Applications of Knowledge Graph Embedding Technique in Chemistry.
J. Chem. Inf. Model.
Chuanghui Wang, Yunqing Yang, Jinshuai Song, Xiaofei Nan
2023 J jnl
A color image decomposition model for image enhancement.
Neurocomputing
Tianqing Hu, Qinglei Zhou, Xiaofei Nan, Renhao Lin
2023 J jnl
On Edge Detection Algorithms for Water-Repellent Images of Insulators Taking into Account Efficient Approaches.
Symmetry
Yizhuo Ding, Xiaofei Nan
2023 J jnl
Protein-Protein Interaction Site Prediction Based on Attention Mechanism and Convolutional Neural Networks.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yuguang Li, Shuai Lu, Qiang Ma, Xiaofei Nan, Shoutao Zhang
2022 J jnl
Leveraging Sequential and Spatial Neighbors Information by Using CNNs Linked With GCNs for Paratope Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform.
Shuai Lu, Yuguang Li, Fei Wang, Xiaofei Nan, Shoutao Zhang
2022 J jnl
Robustness evaluation for deep neural networks via mutation decision boundaries analysis.
Inf. Sci.
Renhao Lin, Qinglei Zhou, Bin Wu, Xiaofei Nan
2021 — conf
A Sequence-Based Antibody Paratope Prediction Model Through Combing Local-Global Information and Partner Features.
ISBRA
Shuai Lu, Yuguang Li, Xiaofei Nan, Shoutao Zhang
2021 — conf
Attention-based Convolutional Neural Networks for Protein-Protein Interaction Site Prediction.
BIBM
Shuai Lu, Yuguang Li, Xiaofei Nan, Shoutao Zhang
2020 J jnl
Predicting the results of molecular specific hybridization using boosted tree algorithm.
Concurr. Comput. Pract. Exp.
Weijun Zhu, Yingjie Han, Huanmei Wu, Yang Liu, Xiaofei Nan, Qinglei Zhou
2017 J jnl
DMGR: a Multipath Geographic Routing Strategy with the On-demand Mobile Sink in WSN.
Ad Hoc Sens. Wirel. Networks
Li Yu, Zhenfei Wang, Xiaofei Nan, Bing Zhou
2016 — conf
DTSP-V: A trend-based Top Scoring Pairs method for classification of time series gene expression data.
BIBM
Kaimin Wu, Xiaofei Nan, Yumei Chai, Liming Wang, Kun Li
2016 — conf
Learning to Recognize Protected Health Information in Electronic Health Records with Recurrent Neural Network.
NLPCC/ICCPOL
Kun Li, Yumei Chai, Hongling Zhao, Xiaofei Nan, Yueshu Zhao
2016 J jnl
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
Chao Li, Yumei Chai, Xiaofei Nan, Minglei Gao
2016 J jnl
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
Kun Li, Yumei Chai, Hongling Zhao, Yueshu Zhao, Xiaofei Nan
2012 J jnl
Biomarker discovery using 1-norm regularization for multiclass earthworm microarray gene expression data.
Neurocomputing
Xiaofei Nan, Nan Wang, Ping Gong, Chaoyang Zhang, Yixin Chen, Dawn Wilkins
2012 J jnl
Implementation of multiple-instance learning in drug activity prediction.
BMC Bioinform.
Gang Fu, Xiaofei Nan, Haining Liu, Ronak Y. Patel, Pankaj R. Daga, Yixin Chen, Dawn Wilkins, Robert J. Doerksen
2011 J jnl
Leveraging domain information to restructure biological prediction.
BMC Bioinform.
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
2010 — conf
A comparison of a graph database and a relational database: a data provenance perspective.
ACM Southeast Regional Conference
Chad Vicknair, Michael Macias, Zhendong Zhao, Xiaofei Nan, Yixin Chen, Dawn Wilkins
2010 — conf
Gene selection using 1-norm regularization for multi-class microarray data.
BIBM
Xiaofei Nan, Nan Wang, Ping Gong, Chaoyang Zhang, Yixin Chen, Dawn Wilkins
2010 — conf
Learning to rank using 1-norm regularization and convex hull reduction.
ACM Southeast Regional Conference
Xiaofei Nan, Yixin Chen, Xin Dang, Dawn Wilkins
2009 C conf
Clustering of Defect Reports Using Graph Partitioning Algorithms.
SEKE
Vasile Rus, Xiaofei Nan, Sajjan G. Shiva, Yixin Chen