I am currently a Research Assistant Professor at the Hong Kong Polytechnic University, working with Prof. Changwen Chen and Prof. Wenzhong Shi. 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
05/2022: Two papers are accepted by TPAMI and TII, respectively.
04/2022: One paper is accepted by Neurocomputing.
03/2022: One paper is accepted by ICME.
01/2022: Two papers are accepted by TNNLS and TIP, respectively.
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.
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
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
European Conference on Computer Vision (ECCV) 2022
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
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]