Guangquan Lu

According to our database1, Guangquan Lu authored at least 26 papers between 2013 and 2021.

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

Timeline

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Semi-supervised Feature Selection Based on Cost-Sensitive and Structural Information.
Proceedings of the Databases Theory and Applications, 2021

2020
Spectral clustering via half-quadratic optimization.
World Wide Web, 2020

Sparse Graph Connectivity for Image Segmentation.
ACM Trans. Knowl. Discov. Data, 2020

Multi-task learning using variational auto-encoder for sentiment classification.
Pattern Recognit. Lett., 2020

Using Locality Preserving Projections to Improve the Performance of Kernel Clustering.
Neural Process. Lett., 2020

Local Structure Preservation for Nonlinear Clustering.
Neural Process. Lett., 2020

Multi-task learning using a hybrid representation for text classification.
Neural Comput. Appl., 2020

How Driving Experience Affect Trust in Automation from Level 3 Automated Vehicles? An Experimental Analysis.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

DGRL: Text Classification with Deep Graph Residual Learning.
Proceedings of the Advanced Data Mining and Applications - 16th International Conference, 2020

2019
Influence of Driving Behaviors on the Stability in Car Following.
IEEE Trans. Intell. Transp. Syst., 2019

Tunable and Transferable RBF Model for Short-Term Traffic Forecasting.
IEEE Trans. Intell. Transp. Syst., 2019

A Speed Control Method at Successive Signalized Intersections Under Connected Vehicles Environment.
IEEE Intell. Transp. Syst. Mag., 2019

A Clustering Algorithm via Kernel Function and Locality Preserving Projections.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A Nonlinear Clustering Algorithm via Kernel Function and Locality Structure Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

An Adaptive Control Method for Arterial Signal Coordination Based on Deep Reinforcement Learning.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
Unsupervised feature selection with graph learning via low-rank constraint.
Multim. Tools Appl., 2018

The α-reliable path problem in stochastic road networks with link correlations: A moment-matching-based path finding algorithm.
Expert Syst. Appl., 2018

2017
Analysis string stability of a new car-following model considering response time.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

2015
Logit-Based Analysis of Drivers' Crossing Behavior at Unsignalized Intersections in China.
Hum. Factors, 2015

2014
A Bayesian Compressive Sensing Vehicular Location Method Based on Three-Dimensional Radio Frequency.
Int. J. Distributed Sens. Networks, 2014

A rule based control algorithm of connected vehicles in uncontrolled intersection.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

A rear-end collision avoidance system of connected vehicles.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

Travel time reliability affected by accident in freeway with connected vehicles.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

Difference Factor' KNN Collaborative Filtering Recommendation Algorithm.
Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

2013
The resilience of interdependent transportation networks under targeted attack.
CoRR, 2013

Real-Time Vehicle Route Guidance Based on Connected Vehicles.
Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013


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