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BIO

Hi I'm Xuesong Wang. I am a fresh year PhD candidate at School of Computer Science and Engineering, th​e University of New South Wales (UNSW), Australia. I am currently supervised by Dr. Lina Yao and Prof. Boualem Benatallah. My research interests lie in deep learning and anomaly detection on transportation data.

Before I joined UNSW, I received my Master degree from Tongji University in 2019, and my Bachelor degree from Nanjing University of Aeronautics and Astronautics in 2016.

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PUBLICATIONS

  1. Q. Kang, L. Shi, M. Zhou,X.Wang, Q. Wu and Z. Wei, "A Distance-Based Weighted Undersampling Scheme for Support Vector Machines and its Application to Imbalanced Classification," in IEEE Transactions on Neural Networks and Learning Systems.2018. IF: 11.683

  2. X.Wang, Q. Kang, M. Zhou and S. Yao, "A Multiscale Concept Drift Detection Method for Learning from Data Streams," 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE)

  3. X.Wang, Q. Kang, J. An and M. Zhou, "Drifted Twitter Spam Classification Using Multiscale Detection Test on K-L Divergence," in IEEE Access.2019.IF: 4.098

  4. N.Qian, X.Wang, Z.Zhao, J.Xu, J.Chen, "Predicting heat transfer of oscillating heat pipes for machining processes based on extreme gradient boosting algorithm," in Applied Thermal Engineering.2019.IF: 4.026

Under Review

  1.  X.Wang, Q. Kang, M. Zhou, "Multiscale Drift Detection Test for Fast Learning in Non-stationary Environments," in IEEE Transactions on Cybernetics.IF: 10.387

 
 
  • Tuition Fee Scholarship, University of New South Wales, from 2019 to 2023

  • CSC Scholarship, Chinese Scholarship Council, from 2019 to 2023

  • ​Oustanding Master's Thesis, Tongji University, 2019

  • CSC Scholarship, Chinese Scholarship Council, from 2015.02 to 2015.07

AWARDS

Reviewer, the International Conference on Information Processing in Sensor Networks (IPSN) , 2020

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Professional Service

 
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