Lingbo Liu

According to our database1, Lingbo Liu authored at least 20 papers between 2008 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction.
CoRR, 2020

Facial Landmark Machines: A Backbone-Branches Architecture With Progressive Representation Learning.
IEEE Trans. Multimedia, 2019

Contextualized Spatial-Temporal Network for Taxi Origin-Destination Demand Prediction.
IEEE Trans. Intelligent Transportation Systems, 2019

An Agent-based Model Simulation of Human Mobility Based on Mobile Phone Data: How Commuting Relates to Congestion.
ISPRS Int. J. Geo-Information, 2019

Delimitating the Natural City with Points of Interests Based on Service Area and Maximum Entropy Method.
Entropy, 2019

ACFM: A Dynamic Spatial-Temporal Network for Traffic Prediction.
CoRR, 2019

Crowd Counting with Deep Structured Scale Integration Network.
CoRR, 2019

Investigation of wind pressures on tall building under interference effects using machine learning techniques.
CoRR, 2019

Crowd Counting via Multi-view Scale Aggregation Networks.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Taxi Origin-Destination Demand Prediction with Contextualized Spatial-Temporal Network.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Attentive Crowd Flow Machines.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Crowd Counting using Deep Recurrent Spatial-Aware Network.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Facial Landmark Localization in the Wild by Backbone-Branches Representation Learning.
Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018

Face Recognition by Coarse-to-Fine Landmark Regression with Application to ATM Surveillance.
Proceedings of the Computer Vision - Second CCF Chinese Conference, 2017

DISC: Deep Image Saliency Computing via Progressive Representation Learning.
IEEE Trans. Neural Netw. Learning Syst., 2016

Rapid Identification of Rice Varieties by Grain Shape and Yield-Related Features Combined with Multi-class SVM.
Proceedings of the Computer and Computing Technologies in Agriculture IX, 2015

A survival analysis method for stock market prediction.
Proceedings of the 2015 International Conference on Behavioral, 2015

A Multi-layer Model for Face Aging Simulation.
Trans. Edutainment, 2011

Multi-task GLOH feature selection for human age estimation.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Dynamic Pricing by Multiagent Reinforcement Learning.
Proceedings of The International Symposium on Electronic Commerce and Security, 2008