Xuesong Wang

Orcid: 0000-0002-4728-8924

Affiliations:
  • University of New South Wales, School of Computer Science and Engineering, Sydney, NSW, Australia
  • Tongji University, Department of Control Science and Engineering, Shanghai, China (former)


According to our database1, Xuesong Wang authored at least 22 papers between 2014 and 2023.

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

Timeline

Legend:

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Bibliography

2023
Uncertainty Estimation With Neural Processes for Meta-Continual Learning.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

2022
The Neural Process Family: Survey, Applications and Perspectives.
CoRR, 2022

Contrastive Graph Learning for Population-based fMRI Classification.
CoRR, 2022

Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Multiscale Drift Detection Test to Enable Fast Learning in Nonstationary Environments.
IEEE Trans. Cybern., 2021

NP-PROV: Neural Processes with Position-Relevant-Only Variances.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Global Convolutional Neural Processes.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
NP-PROV: Neural Processes with Position-Relevant-Only Variances.
CoRR, 2020

Mobility Irregularity Detection with Smart Transit Card Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

2019
Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning.
CoRR, 2019

Drifted Twitter Spam Classification Using Multiscale Detection Test on K-L Divergence.
IEEE Access, 2019

A Generative Adversarial Distribution Matching Framework for Visual Domain Adaptation.
Proceedings of the 16th IEEE International Conference on Networking, Sensing and Control, 2019

2018
A Distance-Based Weighted Undersampling Scheme for Support Vector Machines and its Application to Imbalanced Classification.
IEEE Trans. Neural Networks Learn. Syst., 2018

Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study.
CoRR, 2018

Driver Identification Based on Stop-and-Go Events Using Naturalistic Driving Data.
Proceedings of the 11th International Symposium on Computational Intelligence and Design, 2018

A visual domain adaptation method based on enhanced subspace distribution matching.
Proceedings of the 15th IEEE International Conference on Networking, Sensing and Control, 2018

Speeding Behavior Estimation Using Stop-and-Go Events Based on Velocity Data.
Proceedings of the IEEE International Conference on Communication Systems, 2018

A Multiscale Concept Drift Detection Method for Learning from Data Streams.
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

Research on Automated Modeling Algorithm Using Association Rules for Traffic Accidents.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

2017
A hybrid approach for urban expressway traffic incident duration prediction with Cox regression and random survival forests models.
Proceedings of the 16th IEEE/ACIS International Conference on Computer and Information Science, 2017

Utilizing latent class logit model to predict crash risk.
Proceedings of the 16th IEEE/ACIS International Conference on Computer and Information Science, 2017

2014
Utilizing Microscopic Traffic and Weather Data to Analyze Real-Time Crash Patterns in the Context of Active Traffic Management.
IEEE Trans. Intell. Transp. Syst., 2014


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