Biography

  • I am a fifth-year Ph.D. candidate in the School of Data and Computer Science, Sun Yat-Sen University. I work at the Human Cyber Physical Intelligence Integration Lab under the supervision of Prof. Liang Lin and Dr. Guanbin Li. Before that, I received my Bachelor Degree from the School of Software, Sun Yat-Sen University in 2015. From 2018.03 to 2019.06, I also worked as a research assistant in the University of Sydney under the guidance of Prof. Wanli Ouyang.


    Email: liulingb(at)mail2.sysu.edu.cn

    Google Scholar Github

News

  • 05/2020: Our code and models of "Efficient Crowd Counting with Structured Knowledge Transfer" are available at Github.

  • 07/2020: One paper is accepted by ACM MM.

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

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

  • 05/2020: Our code and datasets of "Physical-Virtual Collaboration Modeling for Intra-and Inter-Station Metro Ridership Prediction" are available at Github.

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

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

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

  • 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.

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

Research Interest

    Intelligent Transportation System

  • Traffic Prediction, including crowd flow forecast and demand forecast

  • Crowd Analysis, including crowd density estimation and crowd counting

  • Anormality Detection, including prohibited object detection and abnormal activity detection

    Machine Learning

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

  • Spatial-Temporal Modeling

Academic Services

    Reviewer for Journal

  • IEEE Transactions on Knowledge and Data Engineering (TKDE)

  • 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

  • Neurocomputing

  • Computer Vision and Image Understanding

  • Pattern Recognition Letters

    • Reviewer for Conference

  • International Joint Conference on Artificial Intelligence (IJCAI) 2020

  • International Conference on Multimedia and Expo (ICME) 2020/2019

Selected Honors & Awards

  • Ph.D National Scholarship, 2019

  • Candidates of CCF-CV Academic Emerging Award, 2018

  • The 5th Place, Object Detection and Recognition, Kaggle: The Nature Conservancy Fisheries Monitorin 2017

  • 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]