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Jia Li

li.jia AT pku.edu.cn

Assistant Professor

Beijing Normal University

Biography

I am a post-doc researcher working with Prof. Zhouchen Lin and Prof. Chao Xu on neural network optimization. I completed my Ph.D. from Beijing Jiaotong University under the supervision of Prof. Zhouchen Lin and Prof. Jian Yu. I received the Excellent Ph.D. Thesis Awards by Beijing Jiaotong University (2017) and Beijing Society of Image and Graphics (2019), respectively.

Interests

  • Machine Learning
  • Computer Vision
  • Image Processing
  • Computational Photography

Education

  • Ph.D. in Computer Science, 2012-2017

    Beijing Jiaotong University

  • MSc in Computer Science, 2009-2012

    Zhengzhou University

  • BSc in Mathematics, 2003-2007

    Zhengzhou University

Publications @ZERO Lab

Training Neural Networks by Lifted Proximal Operator Machines. TPAMI, 2020.

We present the lifted proximal operator machine (LPOM) to train fully-connected feed-forward neural networks. LPOM represents the …
Jia Li , Mingqing Xiao , Cong Fang , Yue Dai , Chao Xu , Zhouchen Lin
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Lifted Proximal Operator Machines. AAAI, 2019.

By rewriting the activation function as an equivalent proximal operator, we approximate a feed-forward neural network by adding the …
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Demosaicking based on Channel-Correlation Adaptive Dictionary Learning. JEI, 2018.

We propose a channel-correlation adaptive dictionary learning based demosaicking (CADLD).
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Automatic Design of High-Sensitivity Color Filter Arrays with Panchromatic Pixels. TIP, 2017.

We propose a fully automatic approach to designing high-sensitivity CFAs using panchromatic pixels based on a mathematical model.
PDF Code Dataset

Optimized Color Filter Arrays for Sparse Representation Based Demosaicking. TIP, 2017.

In this paper, we consider optimally designing CFAs for sparse representation-based demosaicking, where the dictionary is well-chosen.
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Penrose High Dynamic Range Imaging. JEI, 2017.

We propose the Penrose pixel layout, using pixels in aperiodic rhombus Penrose tiling, for HDR imaging.
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Automatic Design of Color Filter Arrays in the Frequency Domain. TIP, 2016.

We present a new method to automatically design CFAs in the frequency domain.
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Penrose Demosaicking. TIP, 2015.

Penrose demosaicking is more difficult than regular demosaicking, because none of the color components of the reconstructed regular …
Chenyan Bai , Jia Li , Zhouchen Lin , Jian Yu , Yen-wei Chen
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