Na Han

According to our database, Na Han authored at least 54 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Anchor-based Domain Adaptive Hashing for unsupervised image retrieval.

Yonghao Chen, Xiaozhao Fang, Yuanyuan Liu, Xi Hu, Na Han, Peipei Kang

Int. J. Mach. Learn. Cybern., December, 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., June, 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., February, 2024

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., January, 2024

Partial Multi-label Learning Based On Near-Far Neighborhood Label Enhancement And Nonlinear Guidance.

Yu Chen, Yanan Wu, Na Han, Xiaozhao Fang, Bingzhi Chen, Jie Wen

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

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., December, 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., October, 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, September, 2023

Cross-modal hashing with missing labels.

Haomin Ni, Jianjun Zhang, Peipei Kang, Xiaozhao Fang, Weijun Sun, Shengli Xie, Na Han

Neural Networks, August, 2023

Low-rank constraint based dual projections learning for dimensionality reduction.

Lin Jiang, Xiaozhao Fang, Weijun Sun, Na Han, Shaohua Teng

Signal Process., 2023

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

2022

Cross-Domain Recognition via Projective Cross-Reconstruction.

Xiaozhao Fang, Lin Jiang, Na Han, Weijun Sun, Yong Xu, Shengli Xie

IEEE Trans. Syst. Man Cybern. Syst., 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

Dynamic Double Classifiers Approximation for Cross-Domain Recognition.

Xiaozhao Fang, Na Han, Guoxu Zhou, Shaohua Teng, Yong Xu, Shengli Xie

IEEE Trans. Cybern., 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

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

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

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

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

2020

Transferable Linear Discriminant Analysis.

Na Han, Jigang Wu, Xiaozhao Fang, Jie Wen, Shanhua Zhan, Shengli Xie, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., 2020

Latent Elastic-Net Transfer Learning.

Na Han, Jigang Wu, Xiaozhao Fang, Shengli Xie, Shanhua Zhan, Kan Xie, Xuelong Li

IEEE Trans. Image Process., 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

IEEE Trans. Image Process., 2020

Group Low-Rank Representation-Based Discriminant Linear Regression.

Shanhua Zhan, Jigang Wu, Na Han, Jie Wen, Xiaozhao Fang

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

IEEE Trans. Circuits Syst. Video Technol., 2020

Active Transfer Learning.

Zhihao Peng, Wei Zhang, Na Han, Xiaozhao Fang, Peipei Kang, Luyao Teng

IEEE Trans. Circuits Syst. Video Technol., 2020

Double Relaxed Regression for Image Classification.

Na Han, Jigang Wu, Xiaozhao Fang, Wai Keung Wong, Yong Xu, Jian Yang, Xuelong Li

IEEE Trans. Circuits Syst. Video Technol., 2020

Flexible robust principal component analysis.

Zinan He, Jigang Wu, Na Han

Int. J. Mach. Learn. Cybern., 2020

Multiple Projections Learning for Dimensional Reduction.

Lin Jiang, Xiaozhao Fang, Na Han

Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2020

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

IEEE Trans. Neural Networks Learn. Syst., 2019

Low-Rank Preserving Projection Via Graph Regularized Reconstruction.

Jie Wen, Na Han, Xiaozhao Fang, Lunke Fei, Ke Yan, Shanhua Zhan

IEEE Trans. Cybern., 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, Hao-Heng Chen, Lan Huang, Chunjian Deng, Na Han

Sensors, 2019

Unsupervised feature extraction by low-rank and sparsity preserving embedding.

Shanhua Zhan, Jigang Wu, Na Han, Jie Wen, Xiaozhao Fang

Neural Networks, 2019

Joint sparse representation and locality preserving projection for feature extraction.

Wei Zhang, Peipei Kang, Xiaozhao Fang, Luyao Teng, Na Han

Int. J. Mach. Learn. Cybern., 2019

Robust discriminant analysis with adaptive locality preserving.

Weijun Sun, Shengli Xie, Na Han

Int. J. Mach. Learn. Cybern., 2019

Accelerated Life Test and Life Prediction of an Electromechanical Actuator.

Na Han, Jun Yao, Shaopei Li

Proceedings of the International Conference on Artificial Intelligence and Advanced Manufacturing, 2019

2018

Approximate Low-Rank Projection Learning for Feature Extraction.

Xiaozhao Fang, Na Han, Jigang Wu, Yong Xu, Jian Yang, Wai Keung Wong, Xuelong Li

IEEE Trans. Neural Networks Learn. Syst., 2018

Adaptive weighted nonnegative low-rank representation.

Jie Wen, Bob Zhang, Yong Xu, Jian Yang, Na Han

Pattern Recognit., 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

MPD: a pathogen genome and metagenome database.

Tingting Zhang, Jiaojiao Miao, Na Han, Yujun Qiang, Wen Zhang

Database J. Biol. Databases Curation, 2018

2017

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

BMC Bioinform., 2017

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

Comput. Math. Methods Medicine, 2016

ANItools web: a web tool for fast genome comparison within multiple bacterial strains.

Na Han, Yujun Qiang, Wen Zhang

Database J. Biol. Databases Curation, 2016

Open-circuit fault diagnosis for rectifier stage in indirect matrix converter.

Baoping Shi, Bo Zhou, Na Han, Xianhui Qin, Xingwei Zhou, Jian Zhang

Proceedings of the IECON 2016, 2016

Fault-tolerant modulation strategy for inverter stage of full bidirectional switches two stage matrix converter.

Na Han, Bo Zhou, Xianhui Qin, Xingwei Zhou

Proceedings of the IECON 2016, 2016

2015

Distortion Analysis and Duty Ratio Correction Algorithm for Asymmetric Modulation of Two-Stage Matrix Converter.

Xianhui Qin, Bo Zhou, Jiadan Wei, Jiaxing Lei, Xiaoyu Liu, Na Han

IEEE Trans. Ind. Electron., 2015

2014

Input filter design for two-stage matrix converter applied in aero variable-frequency power system.

Xianhui Qin, Bo Zhou, Jiaxing Lei, Na Han, Jia-Dan Wei

Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

Neutral current harmonic analysis and inhibition for two-stage four-leg matrix converter.

Na Han, Bo Zhou, Xianhui Qin, Ying Liang, Jiaxing Lei, Zhuoran Zhang

Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

2011

Analysis on talent demand of medicine industry in Hebei province based on grey forecast model.

Na Han, Hong-Qi Hui, Bao-Zhen Guo

Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

2010

Newspaper performance comprehensive evaluation based on BSC and AHP.

Xiang-Jun Ji, Na Han

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Optimization of logistics distribution routing problem based on improved ant colony algorithm.

Na Han, Xiang-Jun Ji

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Research on the evaluation of foreign capital effect of the different pattern industrial cluster in Hebei Province.

Bao-Zhen Guo, Na Han

Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Study on Risks of Enterprises Logistics Outsourcing under Supply Chain Management.

Na Han, Hongqi Hui

Proceedings of the International Conference on E-Business and E-Government, 2010

MiRPara: A SVM-based software for prediction of mature miRNAs.

Yonggan Wu, Bo Wei, Haizhou Liu, Na Han, Simon Rayner

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

Development of a pathway comparison tool for analysis of bacteria genomes.

Haizhou Liu, Jun Wang, Chao Zhuang, Na Han, Bo Wei, Simon Rayner

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010