Chuang Niu

CBIS 2141

110 8th St

Troy, NY 12180

I am a Postdoc and serve as an Associate Director in AXIS Lab led by Prof. Ge Wang at Rensselaer Polytechnic Institute . I received my B.S. in biomedical engineering in 2015, and my Ph.D. in pattern recognition and machine intelligence in 2020, from Xidian University . I was a visiting student at Rensselaer Polytechnic Institute from 2019 to 2020.

My research interest is in unsupervised/self-supervised learning, weakly-supervised learning, representation learning, clustering, and biomedical imaging and analysis.

news

Jan 3, 2023	I serve as an Associate Editor of Medical Physics.
Dec 18, 2022	Our Noise2Sim paper was accepted by IEEE TMI.
Nov 15, 2022	Our MeTAI paper was published in Nature Machine Intelligence.
Oct 31, 2022	Our SPICE paper was accepted by IEEE TIP.
Aug 27, 2022	I was selected as a distinguished reviewer by IEEE TMI.
Jul 1, 2022	I serve as a guest editor for the special issue “AI-based Image Analysis” .
Mar 17, 2021	Our SPICE method is ranked #1 on six image clustering benchmarks at paper-with-code .

selected publications

(More publications)

Self-supervised representation learning with MUlti-Segmental Informational Coding (MUSIC)

Niu, Chuang, and Wang, Ge

arXiv preprint arXiv:2206.06461 2022

Bib

@article{niu2022music,
  title = {Self-supervised representation learning with {MU}lti-{S}egmental {I}nformational {C}oding ({MUSIC})},
  author = {Niu, Chuang and Wang, Ge},
  journal = {arXiv preprint arXiv:2206.06461},
  year = {2022},
  bibtex_show = {true},
  selected = {true},
  preview = {music.png}
}

SPICE: Semantic Pseudo-labeling for Image Clustering

Niu, Chuang, Shan, Hongming, and Wang, Ge

arXiv preprint arXiv:2103.09382 (Accepted by TIP) 2021

Bib Code
@article{niu2021spice, title = {{SPICE}: Semantic {P}seudo-labeling for {I}mage {C}lustering}, author = {Niu, Chuang and Shan, Hongming and Wang, Ge}, journal = {arXiv preprint arXiv:2103.09382 (Accepted by TIP)}, year = {2021}, bibtex_show = {true}, preview = {spice.png}, code = {https://github.com/niuchuangnn/SPICE}, selected = {true} }
GATCluster: Self-supervised Gaussian-ATtention network for image Clustering

Niu, Chuang, Zhang, Jun, Wang, Ge, and Liang, Jimin

In European Conference on Computer Vision 2020

Bib Code
@inproceedings{niu2020gatcluster, title = {{GATC}luster: Self-supervised {G}aussian-{AT}tention network for image {C}lustering}, author = {Niu, Chuang and Zhang, Jun and Wang, Ge and Liang, Jimin}, booktitle = {European Conference on Computer Vision}, pages = {735--751}, year = {2020}, organization = {Springer}, bibtex_show = {true}, preview = {gatcluster.jpg}, code = {https://github.com/niuchuangnn/GATCluster}, selected = {true} }

Noise2sim–similarity-based self-learning for image denoising

Niu, Chuang, and Wang, Ge

arXiv preprint arXiv:2011.03384 (Accepted by TMI) 2020

Bib Code

@article{niu2020noise2sim,
  title = {Noise2sim--similarity-based self-learning for image denoising},
  author = {Niu, Chuang and Wang, Ge},
  journal = {arXiv preprint arXiv:2011.03384 (Accepted by TMI)},
  year = {2020},
  bibtex_show = {true},
  preview = {noise2sim.png},
  code = {https://github.com/niuchuangnn/noise2sim},
  selected = {true}
}

Weakly supervised semantic segmentation for joint key local structure localization and classification of aurora image

Niu, Chuang, Zhang, Jun, Wang, Qian, and Liang, Jimin

IEEE Transactions on Geoscience and Remote Sensing 2018

Bib Code
@article{niu2018weaklz, title = {Weakly supervised semantic segmentation for joint key local structure localization and classification of aurora image}, author = {Niu, Chuang and Zhang, Jun and Wang, Qian and Liang, Jimin}, journal = {IEEE Transactions on Geoscience and Remote Sensing}, volume = {56}, number = {12}, pages = {7133--7146}, year = {2018}, publisher = {IEEE}, bibtex_show = {true}, preview = {weakly.jpg}, code = {https://github.com/niuchuangnn/Aurora-ASI-KLS}, selected = {true} }