熊凯

熊凯 Xiong Kai

PhD student in computer vision

Shanghai Jiao Tong University (SJTU)

Biography

I am a first-year Ph.D. candidate in Machine Vision and Intelligence Group (MVIG) at Shanghai Jiao Tong University (SJTU), under the supervision of Prof. Cewu Lu. Before that, I received my master’s degree at Northwestern Polytechnical University (NWPU), under the supervision of Prof. Junwei Han. My research interests mainly include image recognition and point-cloud understanding. 😆

Interests
  • Machine Learning
  • Image Recognition
  • 3D Point-level Understanding
Education

  • PhD in Computer Science, 2021.4 - now

    Shanghai Jiao Tong University

  • Master in Pattern Recognition and Intelligent System, 2015.9 - 2018.4

    Northwestern Polytechnical University

  • Bachelor in Automation, 2011.9 - 2015.7

    Xi'an University of Architecture and Technology

Latest news

  • 2021/4: I come back campus from a company, becoming a PhD student in SJTU!

Experience

 
 
 
 
 
Algorithm Engineer
CVTE Research
May 2018 – March 2021 Guangzhou

Projects include:

  • Few-shot learning
  • Face recognition & clustering
  • License plate recognition
 
 
 
 
 
Master student
Northwestern Polytechnical University
September 2015 – April 2018 Xi'an
Mainly focus on machine learning topics including graph-based dimensionality reduction and clustering.

Recent Publications

Quickly discover relevant content by filtering publications.
Structured Graph Reconstruction for Scalabl Clustering
we propose a method called Orthogonal and Nonnegative Graph Reconstruction (ONGR) for large scale clustering. This is an journal extension of the work published in conference IJCAI-2017.
Junwei Han, Kai Xiong, Feiping Nie, Xuelong Li
Cite DOI
Structured Graph Reconstruction for Scalabl Clustering
Regularized and Constrained Self-representation for Robust Feature Selection
Feature selection is an important topic in data mining. In this paper, we focus on the problem in unsupervised scenario, which is …
Kai Xiong, Feiping Nie, Junwei Han
PDF
Regularized and Constrained Self-representation for Robust Feature Selection
Linear Manifold Regularization with Adaptive Graph for Semi-supervised Dimensionality Reduction
We propose a novel approach called linear manifold regularization with adaptive graph (LMRAG) for semi-supervised dimensionality reduction.
Kai Xiong, Feiping Nie, Junwei Han
Cite Poster DOI
Linear Manifold Regularization with Adaptive Graph for Semi-supervised Dimensionality Reduction
Orthogonal and Nonnegative Graph Reconstruction for Large Scale Clustering
We propose a novel clustering approach denoted by orthogonal and nonnegative graph reconstruction (ONGR) that scales linearly with the data size.
Junwei Han, Kai Xiong, Feiping Nie
Cite Poster DOI
Orthogonal and Nonnegative Graph Reconstruction for Large Scale Clustering
Robust and Sparse Fuzzy K-Means Clustering
The partition-based clustering algorithms, like KMeans and fuzzy K-Means, are most widely and successfully used in data mining in the …
Jinglin Xu, Junwei Han, Kai Xiong, Feiping Nie
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Robust and Sparse Fuzzy K-Means Clustering

Gallery

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