Liang Liang Ren (任亮亮) , Ph.D. candidate

Tsinghua University, Beijing 10084, China

Birthday 1994-03-06

Tel: +86 137 1828 8879

Email1: qhdxrenliangliang@hotmail.com

Email2: renll16@mails.tsinghua.edu.cn.com

  • I am a third year Ph.D. candidate in the Department of Automation at Tsinghua University, advised by Prof. Jie Zhou and Prof. Jiwen Lu.
  • My research is on computer vision and machine learning, metric learning and deep reinforcement learning. Google Scholar.
  • Education

    Aug. 2012 - Jul. 2016 ,Department of Automation, Tsinghua University

    Jul. 2015 - Sep. 2015, Department of Electrical & Systems Engineer, Washington University in St. Louis

    Aug. 2016 - ,Department of Automation, Tsinghua University

  • Co-Organizer, the ICME 2019 workshop: The Third Workshop on Human Identification in Multimedia (HIM'19)
  • Co-Organizer, the CVPR 2019 tutorial: Deep Reinforcement Learning for Computer Vision
  • Reviewer, IEEE Transactions on Image Processing.
  • Reviewer, IEEE Transactions on Circuits and Systems for Video Technology.
  • Reviewer, IEEE Transactions on Information Forensics and Security.
  • Reviewer, IEEE Transactions on Biometrics, Behavior, and Identity Science.
  • Reviewer, Pattern Recognition, 2016-.
  • Reviewer, International Journal of Machine Learning and Cybernetics.
  • Reviewer, Multimedia Systems, 2018-.
  • Reviewer, IEEE/CVF Conference on Computer Vision and Pattern Recognition.
  • Reviewer, IEEE/CVF Conference on International Conference on Computer Vision.
  • Reviewer, IEEE International Conference on Multimedia and Expo.
  • Reviewer, IEEE International Conference on Image Processing.
  • TA, Numerical Analysis and Algorithm (Winter 2016,2017,2018)
  • TA, Analog Electronic Technology Foundation (Spring 2017,2018,2019)
  • 1. Xin Yuan*, Liangliang Ren*, Jiwen Lu, and Jie Zhou, Enhanced Bayesian Compression via Deep Reinforcement Learning, IEEE International Conference on Computer Vision and Pattern Recognition, 2019.

    2. Liangliang Ren*, Xin Yuan*, Jiwen Lu, Ming Yang, and Jie Zhou, Deep Reinforcement Learning with Iterative Shift for Visual Tracking, European Conference on Computer Vision, Munich, Sep, 2018.

    3. Liangliang Ren, Jiwen Lu, Zifeng Wang, and Jie Zhou, Collaborative Deep Reinforcement Learning for Multi-Object Tracking, European Conference on Computer Vision, Munich, Sep, 2018.

    4. Xin Yuan, Liangliang Ren, Jiwen Lu, Jie Zhou, Towards Optimal Deep Hashing via Policy Gradient, European Conference on Computer Vision, Munich, Sep, 2018.

    5. Liangliang Ren, Jiwen Lu, jianjiang Feng, and Jie Zhou, Multi-Modal uniform deep learning for RGB-D person re-identification, Pattern Recognition , 2017.

    6. Ji Lin, Liangliang Ren, Jiwen Lu, jianjiang Feng, and Jie Zhou, Consistent-Aware Deep Learning for Person Re-identification in a Camera Network, IEEE International Conference on Computer Vision and Pattern Recognition, 2017.

    7. Liangliang Ren, Jiwen Lu, Jianjiang Feng, and Jie Zhou, Uniform and Variational Deep Learning for RGB-D Object Recognition and Person Re-Identification,Transactions on Image Processing, submitted.