Full publication list

A complete list of papers, preprints, and thesis work. The homepage shows only selected highlights.

2025

Behaviour-Diverse Automatic Penetration Testing: A Coverage-Based Deep Reinforcement Learning Approach

Yizhou Yang, Longde Chen, Sha Liu, Lanning Wang, Haohuan Fu, Xin Liu, and Zuoning Chen

Frontiers of Computer Science, 19(3), 193309

2025

Enhancing Single Precision with Quasi-Double Precision: Achieving Double-Precision Accuracy in the Model for Prediction Across Scales-Atmosphere (MPAS-A) Version 8.2.1

Jiayi Lai, Lanning Wang, Qizhong Wu, Yizhou Yang, and Fang Wang

Geoscientific Model Development, 18(4), pp. 1089-1102

2025

Evaluating Effectiveness of Round-Off Error Compensation with Three Methods in Shallow-Water Models

Jiayi Lai, Lanning Wang, Yizhou Yang, Qizhong Wu, and Mengxuan Chen

Ocean Modelling, 102617

2025

Engineering Social Optimality via Utility Shaping in Non-Cooperative Games under Incomplete Information and Imperfect Monitoring

David Smith, Jie Dong, and Yizhou Yang

arXiv preprint arXiv:2510.26033

2023

SetTron: Towards Better Generalisation in Penetration Testing with Reinforcement Learning

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

IEEE GLOBECOM 2023, pp. 4662-4667

2020

Power Control for Body Area Networks: Accurate Channel Prediction by Lightweight Deep Learning

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

IEEE Internet of Things Journal, 8(5), pp. 3567-3575

2021

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

Yizhou Yang

Doctoral thesis, Australian National University

2019

Deep Learning Channel Prediction for Transmit Power Control in Wireless Body Area Networks

Yizhou Yang, David B. Smith, and Suranga Seneviratne

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

2018

Robust Wireless Body Area Networks Coexistence: A Game Theoretic Approach to Time-Division MAC

Yizhou Yang and David Smith

arXiv preprint arXiv:1808.10094

2017

Wireless Body Area Networks: Energy-Efficient, Provably Socially-Efficient, Transmit Power Control

Yizhou Yang and David B. Smith

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