Biography
  • I am currently a postdoctoral fellow in the Department of Computing at the Hong Kong Polytechnic University, working with Prof. Changwen Chen. Before that, I received my Ph.D. degree in computer science from Sun Yat-Sen University in 2020, under the supervision of Prof. Liang Lin and Dr. Guanbin Li. From 2018.03 to 2019.06, I also worked as a research assistant at the University of Sydney under the guidance of Prof. Wanli Ouyang.


    Email: lingbo.liu(at)polyu.edu.hk liulingb(at)mail3.sysu.edu.cn

    Google Scholar Github

News
  • 01/2022: One paper is accepted by TNNLS.

  • 11/2021: One paper is accepted by TPAMI.

  • 07/2021: One paper is accepted by ICCV.

  • 05/2021: One paper is accepted by ACL. Codes and dataset are available.

  • 03/2021: One paper is accepted by CVPR. Our project page with code and dataset is available.

  • 01/2021: One paper is accepted by ICASSP.

  • 10/2020: One paper is accepted by TITS. Codes and dataset are available.

  • 07/2020: One paper is accepted by ACM MM. Codes and models are available.

  • 06/2020: One paper is accepted by TITS. Code is available.

  • 05/2020: One paper is accepted by Neurocomputing.

  • 02/2020: One paper is accepted by JWEIA.

  • 07/2019: One paper is accepted by ICCV. Code is available.

  • 04/2019: One paper is accepted by TITS. Code is available.

  • 03/2019: Two papers are accepted by ICME with one oral.

  • 01/2019: One paper is accepted by TMM.

  • 10/2018: I am selected as one of the top ten candidates of CCF-CV Academic Emerging Award.

  • 07/2018: One paper is accepted by ACM MM. Code is available.

  • 04/2018: One paper is accepted by IJCAI.

Research Interest

    Urban Computing

  • Intelligent Perception: crowd analysis, multimodal road extraction, anormality detection

  • Accurate Prediction: traffic flow forecast, traffic OD forecast

  • Dynamic Optimization:signal control, taxi dispatch and peposition

    Machine Learning

  • Deep Learning, including deep CNN/RNN, attention modeling, adversarial learning

  • Spatial-Temporal Modeling

Academic Services

    Reviewer for Journal

  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

  • IEEE Transactions on Knowledge and Data Engineering (TKDE)

  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

  • IEEE Transactions on Intelligent Transportation Systems (TITS)

  • IEEE Transactions on Multimedia (TMM)

  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

  • IEEE Transactions on Big Data

  • Transportation Research Part C

  • Neurocomputing

  • Computer Vision and Image Understanding

  • Knowledge-Based Systems

  • Pattern Recognition Letters

  • Reviewer for Conference

  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022,2021

  • International Conference on Computer Vision (ICCV) 2021

  • International Joint Conference on Artificial Intelligence (IJCAI) 2020

  • IEEE International Conference on Multimedia and Expo (ICME) 2019-2022

  • ACM international joint conference on pervasive and ubiquitous computing (UbiComp) 2021

Selected Honors & Awards
  • Ph.D National Scholarship, 2019

  • Candidates of CCF-CV Academic Emerging Award, 2018

  • Gold medal (Prize $10K), Object Detection and Recognition, Kaggle: The Nature Conservancy Fisheries Monitoring 2017

  • Songshanhu Scholarship 2016

  • The 1st Place, Face Detection and Recognition, China Graduate Contest on Smart-City Technology and Creative Design 2016

  • The 3rd Place, Face Detection and Recognition, China Graduate Contest on Smart-City Technology and Creative Design 2015

  • The 3rd Place, CLS-LOC Task, Imagenet Large Scale Visual Recognition Challenge (ILSVRC) 2014 [Link]