Development of a pathway comparison tool for analysis of bacteria genomes. - Haizhou Liu; Jun Wang; Chao Zhuang; Na Han; Bo Wei; Simon Rayner (BIBM Workshops, 2010)

MiRPara: A SVM-based software for prediction of mature miRNAs. - Yonggan Wu; Bo Wei; Haizhou Liu; Na Han; Simon Rayner (BIBM Workshops, 2010)

Study on Risks of Enterprises Logistics Outsourcing under Supply Chain Management. - Na Han; Hongqi Hui (ICEE, 2010)

Research on the evaluation of foreign capital effect of the different pattern industrial cluster in Hebei Province. - Bao-Zhen Guo; Na Han (ICMLC, 2010)

Optimization of logistics distribution routing problem based on improved ant colony algorithm. - Na Han; Xiang-Jun Ji (ICMLC, 2010)

Newspaper performance comprehensive evaluation based on BSC and AHP. - Xiang-Jun Ji; Na Han (ICMLC, 2010)

Analysis on talent demand of medicine industry in Hebei province based on grey forecast model. - Na Han; Hong-Qi Hui; Bao-Zhen Guo (ICMLC, 2011)

Neutral current harmonic analysis and inhibition for two-stage four-leg matrix converter. - Na Han; Bo Zhou 014; Xianhui Qin; Ying Liang; Jiaxing Lei; Zhuoran Zhang 002 (IECON, 2014)

Input filter design for two-stage matrix converter applied in aero variable-frequency power system. - Xianhui Qin; Bo Zhou 014; Jiaxing Lei; Na Han; Jia-Dan Wei (IECON, 2014)

Distortion Analysis and Duty Ratio Correction Algorithm for Asymmetric Modulation of Two-Stage Matrix Converter. - Xianhui Qin; Bo Zhou 014; Jiadan Wei; Jiaxing Lei; Xiaoyu Liu; Na Han (IEEE Trans. Ind. Electron., 2015)

Fault-tolerant modulation strategy for inverter stage of full bidirectional switches two stage matrix converter. - Na Han; Bo Zhou 014; Xianhui Qin; Xingwei Zhou (IECON, 2016)

Open-circuit fault diagnosis for rectifier stage in indirect matrix converter. - Baoping Shi; Bo Zhou 014; Na Han; Xianhui Qin; Xingwei Zhou; Jian Zhang (IECON, 2016)

ANItools web: a web tool for fast genome comparison within multiple bacterial strains. - Na Han; Yujun Qiang; Wen Zhang 003 (Database J. Biol. Databases Curation, 2016)

T4SP Database 2.0: An Improved Database for Type IV Secretion Systems in Bacterial Genomes with New Online Analysis Tools. - Na Han; Weiwen Yu; Yujun Qiang; Wen Zhang 003 (Comput. Math. Methods Medicine, 2016)

16SPIP: a comprehensive analysis pipeline for rapid pathogen detection in clinical samples based on 16S metagenomic sequencing. - Jiaojiao Miao; Na Han; Yujun Qiang; Tingting Zhang; Xiuwen Li; Wen Zhang 003 (BMC Bioinform., 2017)

MPD: a pathogen genome and metagenome database. - Tingting Zhang; Jiaojiao Miao; Na Han; Yujun Qiang; Wen Zhang 003 (Database J. Biol. Databases Curation, 2018)

Low-rank and sparse embedding for dimensionality reduction. - Na Han; Jigang Wu; Yingyi Liang; Xiaozhao Fang; Wai Keung Wong; Shaohua Teng (Neural Networks, 2018)

Adaptive weighted nonnegative low-rank representation. - Jie Wen 001; Bob Zhang 001; Yong Xu 001; Jian Yang 003; Na Han (Pattern Recognit., 2018)

Approximate Low-Rank Projection Learning for Feature Extraction. - Xiaozhao Fang; Na Han; Jigang Wu; Yong Xu 001; Jian Yang 003; Wai Keung Wong; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Accelerated Life Test and Life Prediction of an Electromechanical Actuator. - Na Han; Jun Yao; Shaopei Li (AIAM (IEEE), 2019)

Robust discriminant analysis with adaptive locality preserving. - Weijun Sun; Shengli Xie; Na Han (Int. J. Mach. Learn. Cybern., 2019)

Joint sparse representation and locality preserving projection for feature extraction. - Wei Zhang 005; Peipei Kang; Xiaozhao Fang; Luyao Teng; Na Han (Int. J. Mach. Learn. Cybern., 2019)

Unsupervised feature extraction by low-rank and sparsity preserving embedding. - Shanhua Zhan; Jigang Wu; Na Han; Jie Wen 001; Xiaozhao Fang (Neural Networks, 2019)

A Feature Extraction Method Based on Differential Entropy and Linear Discriminant Analysis for Emotion Recognition. - Dongwei Chen; Rui Miao; Wei-Qi Yang; Yong Liang 001; Hao-Heng Chen; Lan Huang; Chunjian Deng; Na Han (Sensors, 2019)

Low-Rank Preserving Projection Via Graph Regularized Reconstruction. - Jie Wen 001; Na Han; Xiaozhao Fang; Lunke Fei; Ke Yan 003; Shanhua Zhan (IEEE Trans. Cybern., 2019)

Flexible Affinity Matrix Learning for Unsupervised and Semisupervised Classification. - Xiaozhao Fang; Na Han; Wai Keung Wong; Shaohua Teng; Jigang Wu; Shengli Xie; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Multiple Projections Learning for Dimensional Reduction. - Lin Jiang; Xiaozhao Fang; Na Han (PDCAT, 2020)

Flexible robust principal component analysis. - Zinan He; Jigang Wu; Na Han (Int. J. Mach. Learn. Cybern., 2020)

Double Relaxed Regression for Image Classification. - Na Han; Jigang Wu; Xiaozhao Fang; Wai Keung Wong; Yong Xu 001; Jian Yang 003; Xuelong Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2020)

Active Transfer Learning. - Zhihao Peng 002; Wei Zhang 005; Na Han; Xiaozhao Fang; Peipei Kang; Luyao Teng (IEEE Trans. Circuits Syst. Video Technol., 2020)

Clustering Structure-Induced Robust Multi-View Graph Recovery. - Wai Keung Wong; Na Han; Xiaozhao Fang; Shanhua Zhan; Jie Wen 001 (IEEE Trans. Circuits Syst. Video Technol., 2020)

Group Low-Rank Representation-Based Discriminant Linear Regression. - Shanhua Zhan; Jigang Wu; Na Han; Jie Wen 001; Xiaozhao Fang (IEEE Trans. Circuits Syst. Video Technol., 2020)

Projective Double Reconstructions Based Dictionary Learning Algorithm for Cross-Domain Recognition. - Na Han; Jigang Wu; Xiaozhao Fang; Shaohua Teng; Guoxu Zhou; Shengli Xie; Xuelong Li 001 (IEEE Trans. Image Process., 2020)

Latent Elastic-Net Transfer Learning. - Na Han; Jigang Wu; Xiaozhao Fang; Shengli Xie; Shanhua Zhan; Kan Xie; Xuelong Li 001 (IEEE Trans. Image Process., 2020)

Transferable Linear Discriminant Analysis. - Na Han; Jigang Wu; Xiaozhao Fang; Jie Wen 001; Shanhua Zhan; Shengli Xie; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Compositional diversity and evolutionary pattern of coronavirus accessory proteins. - Jingzhe Shang; Na Han; Ziyi Chen; Yousong Peng; Liang Li; Hangyu Zhou; Chengyang Ji; Jing Meng; Taijiao Jiang; Aiping Wu (Briefings Bioinform., 2021)

Sparse Granger Causality Analysis Model Based on Sensors Correlation for Emotion Recognition Classification in Electroencephalography. - Dongwei Chen; Rui Miao; Zhao-Yong Deng; Na Han; Chunjian Deng (Frontiers Comput. Neurosci., 2021)

Discrete matrix factorization hashing for cross-modal retrieval. - Xiaozhao Fang; Zhihu Liu; Na Han; Lin Jiang; Shaohua Teng (Int. J. Mach. Learn. Cybern., 2021)

sitePath: a visual tool to identify polymorphism clades and help find fixed and parallel mutations. - Chengyang Ji; Na Han; Yexiao Cheng; Jingzhe Shang; Shenghui Weng; Rong Yang; Hangyu Zhou; Aiping Wu (BMC Bioinform., 2022)

Information Diffusion Model of Social Bots: An Analysis of the Spread of Coverage of China Issues by The New York Times on Twitter. - Na Han; Hebo Huang; Jianjun Wang; Bin Shi; Li Ren (Complex., 2022)

Dynamic Double Classifiers Approximation for Cross-Domain Recognition. - Xiaozhao Fang; Na Han; Guoxu Zhou; Shaohua Teng; Yong Xu 001; Shengli Xie (IEEE Trans. Cybern., 2022)

Average Approximate Hashing-Based Double Projections Learning for Cross-Modal Retrieval. - Xiaozhao Fang; Kaihang Jiang; Na Han; Shaohua Teng; Guoxu Zhou; Shengli Xie (IEEE Trans. Cybern., 2022)

Cross-Domain Recognition via Projective Cross-Reconstruction. - Xiaozhao Fang; Lin Jiang; Na Han; Weijun Sun; Yong Xu 001; Shengli Xie (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Low-rank constraint-based multiple projections learning for cross-domain classification. - Weiying Guo; Xiaozhao Fang; Lin Jiang; Na Han; Shaohua Teng (Knowl. Based Syst., 2023)

Low-rank constraint based dual projections learning for dimensionality reduction. - Lin Jiang; Xiaozhao Fang; Weijun Sun; Na Han; Shaohua Teng (Signal Process., 2023)

Cross-modal hashing with missing labels. - Haomin Ni; Jianjun Zhang; Peipei Kang; Xiaozhao Fang; Weijun Sun; Shengli Xie; Na Han (Neural Networks, 2023)

A survey of drug-target interaction and affinity prediction methods via graph neural networks. - Yue Zhang; Yuqing Hu; Na Han; Aqing Yang; Xiaoyong Liu; Hongmin Cai (Comput. Biol. Medicine, 2023)

Trans-cGAN: transformer-Unet-based generative adversarial networks for cross-modality magnetic resonance image synthesis. - Yan Li; Na Han; Yuxiang Qin; Jing Zhang; Jinxia Su (Stat. Comput., 2023)

Adaptive affinity matrix learning for dimensionality reduction. - Junran He; Xiaozhao Fang; Peipei Kang; Lin Jiang; Lunke Fei; Na Han; Weijun Sun (Int. J. Mach. Learn. Cybern., 2023)

Two-Stage Asymmetric Similarity Preserving Hashing for Cross-Modal Retrieval. - Junfan Huang; Peipei Kang; Na Han; Yonghao Chen; Xiaozhao Fang; Hongbo Gao; Guoxu Zhou (IEEE Trans. Knowl. Data Eng., 2024)

Two-Step Strategy for Domain Adaptation Retrieval. - Yonghao Chen; Xiaozhao Fang; Yuanyuan Liu; Wei Zheng; Peipei Kang; Na Han; Shengli Xie (IEEE Trans. Knowl. Data Eng., 2024)

Efficient Discriminative Hashing for Cross-Modal Retrieval. - Junfan Huang; Peipei Kang; Xiaozhao Fang; Na Han; Shengli Xie; Hongbo Gao (IEEE Trans. Syst. Man Cybern. Syst., 2024)