Shiliang Zhang

Post doc at Network and Systems

Shiliang Zhang is a postdoc currently focusing on privacy-preserving machine learning methods and applications. He received his PhD and master's degree at Xi'an Jiaotong University, and his bachelor's degree at University of Electronic Science and Technology of China. His research interests include machine learning, privacy protection, deep learning, anomaly detection, and intelligent control of stochastic systems.

Source: chalmers.se
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Showing 2 publications

2021

Adaptive quantile control for stochastic system

Xuehui Ma, Fucai Qian, Shiliang Zhang et al
ISA Transactions. Vol. In Press
Journal article
2021

An Energy Consumption Model for Electrical Vehicle Networks Via Extended Federated-Learning

Shiliang Zhang
IEEE Intelligent Vehicles Symposium, Proceedings. Vol. 2021-July, p. 354-361
Paper in proceeding

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Showing 2 research projects

2020–2022

Privacy-preserving learning for vehicle networks: applications and tools

Shiliang Zhang Networks and Systems (Chalmers)
Swedish Research Council (VR)

2020–2021

Privacy-Protected Machine Learning for Transport Systems

Elad Schiller Networks and Systems (Chalmers)
Tomas Olovsson Networks and Systems (Chalmers)
Irene Yu-Hua Gu Electrical Engineering
Shiliang Zhang Networks and Systems (Chalmers)
AoA Transport Funds

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