Han Zhang, Assistant Professor-光电与智能研究院(iOPEN)—

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Han Zhang, Assistant Professor

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Han Zhang, Assistant Professor

Scholar Homepage：[DBLP]

Research Direction：Her current research interests include artifical intelligences, machine learning and data mining, etc.

Contact Address：127 West Youyi Road, Beilin District, Xi'an 710072, Shaanxi, P.R. China

Zip Code：710072

E-mail：zhanghan9937 AT gmail.com

Education Background

2016-2021	Northwestern Polytechnical University	Computer Science and Technology	PhD
2012-2016	Northwest University	Computer Science and Technology	Bachelor

Work Experimence

2021 upto now

Xidian University

Postdoctor

Representative Papers

H. Zhang, D. Wu, F. Nie, R. Wang* and X. Li, “Multilevel projections with adaptive neighbor graph for unsupervised multi-view feature selection,” Information fusion, (IF: 13.669), in press, 2021. [BibTeX]|[PDF]

@ARTICLE{zhang2021multilevel,
                    title={Multilevel projections with adaptive neighbor graph for unsupervised multi-view feature selection},
                    author={Zhang, Han and Wu, Danyang and Nie, Feiping and Wang, Rong and Li, Xuelong},
                    journal={Information Fusion},
                    volume={70},
                    pages={129-140},
                    year={2021},
                    publisher={Elsevier},}

X. Li, H. Zhang, R. Wang and F. Nie*, “Multi-view Clustering: a scalable and parameter-free graph fusion method,” IEEE Transactions on Pattern Analysis and Machine Intelligence, (IF: 17.861), in press, 2020. [BibTeX]|[PDF]

@ARTICLE{li2020multi,
                        title={Multi-view clustering: A scalable and parameter-free bipartite graph fusion method},
                        author={Li, Xuelong and Zhang, Han and Wang, Rong and Nie, Feiping},
                        journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
                        year={2020},
                        volumn={},
                        number={},
                        pages={1-1},
                        publisher={IEEE},}

F. Nie, H. Zhang, R. Wang and X. Li, “Semi-supervised Clustering via Pairwise Constrained Optimal Graph,” Proceedings of the International Joint Conference on Artificial Intelligence - Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI, CCF A), in press, 2020. [BibTeX]|[PDF]

@ARTICLE{nie2020semi,
                        title={Semi-supervised clustering via pairwise constrained optimal graph},
                        author={Nie, Feiping and Zhang, Han and Wang, Rong and Li, Xuelong},
                        booktitle={International Joint Conference on Artificial Intelligence, IJCAI},
                        pages={3160-3166},
                        year={2020},}

F. Nie*, H. Zhang, R. Zhang and X. Li, “Robust Multiple Rank-k Bilinear Projections for Unsupervised Learning,” IEEE Transactions on Image Processing (IF: 9.34), in press, 2019. [BibTeX]|[PDF]

@ARTICLE{nie2018robust,
                        title={Robust Multiple Rank-k Bilinear Projections for Unsupervised Learning},
                        author={Nie, Feiping and Zhang, Han and Zhang, Rui and Li, Xuelong},
                        journal={IEEE Transactions on Image Processing},
                        volume={28},
                        number={5},
                        pages={2574--2583},
                        year={2018},
                        publisher={IEEE},}

X. Li, H. Zhang, R. Zhang*, Y. Liu, and F. Nie, “Generalized uncorrelated regression with adaptive graph for unsupervised feature selection,” IEEE Transactions on Neural Networks and Learning Systems (IF: 8.793), in press, 2019. [BibTeX]|[PDF]

@ARTICLE{li2018generalized,
                        title={Generalized uncorrelated regression with adaptive graph for unsupervised feature selection},
                        author={Li, Xuelong and Zhang, Han and Zhang, Rui and Liu, Yun and Nie, Feiping},
                        journal={IEEE transactions on neural networks and learning systems},
                        volume={30},
                        number={5},
                        pages={1587-1595},
                        year={2018},
                        publisher={IEEE},}

[More Papers]

Other

the previous：Zheng Wang, Assistant Professor