Publications

2023

1. SetTron: Towards Better Generalisation in Penetration Testing with Reinforcement Learning

   Yang, Yizhou, Chen, Mengxuan, Fu, Haohuan, and Liu, Xin

   pp. 1–6, 2023

   [Bib]

   @article{yang2023SetTron,
     title = {SetTron: Towards Better Generalisation in Penetration Testing with Reinforcement Learning},
     author = {Yang, Yizhou and Chen, Mengxuan and Fu, Haohuan and Liu, Xin},
     booktitle = {2023 IEEE Global Communications Conference (GLOBECOM 2023)},
     year = {2023},
     pages = {1--6},
     organization = {IEEE},
   }

2022

1. Behaviour-Diverse Automatic Penetration Testing: A Curiosity-Driven Multi-Objective Deep Reinforcement Learning Approach

   Yang, Yizhou, and Liu, Xin

   arXiv preprint arXiv:2202.10630, 2022

   [Bib]

   @article{yang2022behaviour,
     title = {Behaviour-Diverse Automatic Penetration Testing: A Curiosity-Driven Multi-Objective Deep Reinforcement Learning Approach},
     author = {Yang, Yizhou and Liu, Xin},
     journal = {arXiv preprint arXiv:2202.10630},
     year = {2022},
   }

2021

1. The Internet of Humans: Optimal Resource Allocation and Wireless Channel Prediction

   Yang, Yizhou

   2021

2020

1. Power control for body area networks: Accurate channel prediction by lightweight deep learning

   Yang, Yizhou, Smith, David, Rajasegaran, Jathushan, and Seneviratne, Suranga

   IEEE Internet of Things Journal, vol. 8, pp. 3567–3575, 2020

   [Bib]

   @article{yang2020power,
     title = {Power control for body area networks: Accurate channel prediction by lightweight deep learning},
     author = {Yang, Yizhou and Smith, David and Rajasegaran, Jathushan and Seneviratne, Suranga},
     journal = {IEEE Internet of Things Journal},
     volume = {8},
     number = {5},
     pages = {3567--3575},
     year = {2020},
     publisher = {IEEE},
   }

2019

1. Deep learning channel prediction for transmit power control in wireless body area networks

   Yang, Yizhou, Smith, David B, and Seneviratne, Suranga

   In ICC 2019-2019 IEEE International Conference on Communications (ICC), pp. 1–6, 2019

   [Bib]

   @inproceedings{yang2019deep,
     title = {Deep learning channel prediction for transmit power control in wireless body area networks},
     author = {Yang, Yizhou and Smith, David B and Seneviratne, Suranga},
     booktitle = {ICC 2019-2019 IEEE International Conference on Communications (ICC)},
     pages = {1--6},
     year = {2019},
     organization = {IEEE},
   }

2018

1. Robust wireless body area networks coexistence: A game theoretic approach to time-division MAC

   Yang, Yizhou, and Smith, David

   arXiv preprint arXiv:1808.10094, 2018

   [Bib]

   @article{yang2018robust,
     title = {Robust wireless body area networks coexistence: A game theoretic approach to time-division MAC},
     author = {Yang, Yizhou and Smith, David},
     journal = {arXiv preprint arXiv:1808.10094},
     year = {2018},
   }

2017

1. Wireless body area networks: Energy-efficient, provably socially-efficient, transmit power control

   Yang, Yizhou, and Smith, David B

   In 2017 IEEE International Conference on Communications (ICC), pp. 1–6, 2017

   [Bib] [DOI]

   @inproceedings{yang2017wireless,
     title = {Wireless body area networks: Energy-efficient, provably socially-efficient, transmit power control},
     author = {Yang, Yizhou and Smith, David B},
     booktitle = {2017 IEEE International Conference on Communications (ICC)},
     pages = {1--6},
     year = {2017},
     organization = {IEEE},
     doi = {10.1109/ICC.2017.7997347},
   }