Yuezhong Wu

Ph.D Candidate

School of Computer Science and Engineering (CSE)

University of New South Wales (UNSW), Sydney, Australia

Mobile:+61 0 450790121

Email: yuezhong.wu@student.unsw.edu.au

Biography

I am a PhD student at the School of Computer Science and Engineering, University of New South wales, Sydney, co-supervised by Dr. Wen Hu, Prof. Mahbub Hassan and Prof. Dali Kaafar.

I received my M.S. degree from the Department of Science and Technology, University of Science and Technology of China, supervised by Prof. Thomas Weise. During my master, I worked as a research assistant at The Joint USTC-Birmingham Research Institute in Intelligent Computation and Its Applications.

Research

I am currently working on the Cyber Security and novel applications for IoT.

Before I study at UNSW, I worked on Evolutionary Computation at USTC.

Publications

UNSW:

    1. Yuezhong Wu, Wen Hu, and Mahbub Hassan. 2018. Learning for Device Pairing in Body Area Networks. In Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems (SenSys '18), Gowri Sankar Ramachandran and Bhaskar Krishnamachari (Eds.). ACM, New York, NY, USA, 321-322. DOI: https://doi.org/10.1145/3274783.3275163

USTC:

    1. Weichen Liu, Thomas Weise, Yuezhong Wu, and Qi Qi. Combining Two Local Searches with Crossover: An Efficient Hybrid Algorithm for the Traveling Salesman Problem. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'17), July 15-19, 2017, Berlin, Germany, New York, NY, USA: ACM Press, pages 298-305, ISBN: 978-1-4503-4920-8
    2. Thomas Weise, Yuezhong Wu, Raymond Chiong, Ke Tang, and Jörg Lässig. Global versus Local Search: The Impact of Population Sizes on Evolutionary Algorithm Performance. Journal of Global Optimization 66(3):511-534, November 2016.doi:10.1007/s10898-016-0417-5 / pdf Indexing: EI:20160902030834, WOS:000386373700007, SCI
    3. Yuezhong Wu, Thomas Weise, and Weichen Liu. Hybridizing Different Local Search Algorithms with Each Other and Evolutionary Computation: Better Performance on the Traveling Salesman Problem. In Proceedings of the 18th Genetic and Evolutionary Computation Conference (GECCO'16), Denver, Colorado, USA, July 20–24, 2016, pages 57-58, New York, NY, USA: Association for Computing Machinery (ACM). ISBN: 978-1-4503-4323-7doi:10.1145/2908961.2909001
    4. Weichen Liu, Thomas Weise, Yuezhong Wu, Dan Xu, and Raymond Chiong. An Improved Ejection Chain Method and Its Hybrid Versions for Solving the Traveling Salesman Problem. Journal of Computational and Theoretical Nanoscience 13(6):3601-3610, June 2016
    5. Weichen Liu, Thomas Weise, Yuezhong Wu, and Raymond Chiong. Hybrid Ejection Chain Methods for the Traveling Salesman Problem. In Proceedings of the 10th International Conference on Bio-Inspired Computing – Theories and Applications (BIC-TA'15), Maoguo Gong, Linqiang Pan, Tao Song, Ke Tang, and Xingyi Zhang, editors, September 25-28, 2015, Hefei, Anhui, China, volume 562 of Communications in Computer and Information Science. Berlin/Heidelberg: Springer-Verlag, pages 268-282, ISBN 978-3-662-49013-6.doi:10.1007/978-3-662-49014-3_25
    6. Dan Xu, Thomas Weise, Yuezhong Wu, Jörg Lässig, and Raymond Chiong. An Investigation of Hybrid Tabu Search for the Traveling Salesman Problem. In Proceedings of the 10th International Conference on Bio-Inspired Computing – Theories and Applications (BIC-TA'15), Maoguo Gong, Linqiang Pan, Tao Song, Ke Tang, and Xingyi Zhang, editors, September 25-28, 2015, Hefei, Anhui, China, volume 562 of Communications in Computer and Information Science. Berlin/Heidelberg: Springer-Verlag, pages 523-537, ISBN 978-3-662-49013-6.doi:10.1007/978-3-662-49014-3_47
    7. Yuezhong Wu, Thomas Weise, and Raymond Chiong. Local Search for the Traveling Salesman Problem: A Comparative Study. In Proceedings of the 14th IEEE Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC'15), July 6-8, 2015, Beijing, China, pages 213-220, Los Alamitos, CA, USA: IEEE Computer Society Press, ISBN: 978-1-4673-7289-3.doi:10.1109/ICCI-CC.2015.7259388