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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
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.
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
Intelligent Transportation System
Deep Learning, including deep CNN/RNN, attention modeling, adversarial learning
Spatial-Temporal Modeling
Machine Learning
Journal： TKDE, TMM, Neurocomputing, Computer Vision and Image Understanding, Pattern Recognition Letters
Conference： ICME2019, ICME2020
Reviewer for
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]