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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

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Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

furnace

An open-source tool for machine learning model

publications

Robust Low-Rank Graph Multi-View Clustering via Cauchy Norm Minimization

Xinyu Pu, Hangjun Che, Baicheng Pan
Published in Mathematics, 2023

This paper is about the robust graph-based multiview clustering. A novel multi-view clustering method referred to as RLGMC is proposed. In this method, we combine spectral embedding, low-rank tensor learning and noise constraints into a unified framework. By learning a robust tensor, the underlying structure implied in multiple views is effectively captured.

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Robust Weighted Low-Rank Tensor Approximation for Multiview Clustering With Mixed Noise

Xinyu Pu, Hangjun Che, Member, IEEE, Baicheng Pan, Man-Fai Leung, and Shiping Wen
Published in IEEE Transactions on Computational Social Systems, 2023

In this paper, a robust multiview clustering method referred to as RWLTA is developed to handle the mixed noise embedding in the real-world datasets. The weighted low-rank tensor approximation and unique mixed noise handling norms are utilized to guarantee performance and robustness.

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talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.