no code implementations • 23 Feb 2024 • Ryan L'Abbate, Anthony D'Onofrio Jr., Samuel Stein, Samuel Yen-Chi Chen, Ang Li, Pin-Yu Chen, Juntao Chen, Ying Mao
In this study, we concentrate on quantum deep learning and introduce a collaborative classical-quantum architecture called co-TenQu.
no code implementations • 3 Jan 2024 • Yuhan Zhao, Juntao Chen, Quanyan Zhu
The attacker aims to exploit this vulnerability to enable a successful physical compromise, while the system operator's goal is to ensure a normal operation of the grid by mitigating cyber risks.
no code implementations • 7 Apr 2023 • Courtney M. King, Son Tung Do, Juntao Chen
In this work, we study policy poisoning through state manipulation, also known as sensor spoofing, and focus specifically on the case of an agent forming a control policy through batch learning in a linear-quadratic (LQ) system.
no code implementations • 11 Jan 2023 • Juntao Chen, Junaid Farooq, Quanyan Zhu
The contract design creates a pricing structure for on-demand sensing data for IoT users.
no code implementations • 20 Dec 2022 • Juntao Chen, Li Lin, Pujin Cheng, Yijin Huang, Xiaoying Tang
Medical image quality assessment (MIQA) is a vital prerequisite in various medical image analysis applications.
no code implementations • 14 Jun 2021 • Jason Hughes, Juntao Chen
We further develop a fully distributed algorithm to compute the optimal resilient transport strategies, and show the convergence of the algorithm to a saddle-point equilibrium.
no code implementations • 31 Mar 2021 • Juntao Chen, Yunhan Huang, Quanyan Zhu
Renewable energy-based microgrids play a critical role in future smart grids.
no code implementations • 24 Mar 2021 • Yunhan Huang, Juntao Chen, Quanyan Zhu
Moreover, we show that the observation choices of the defender and the attacker can be decoupled and the Nash observation strategies can be found by solving two independent optimization problems.
no code implementations • 29 Nov 2020 • Juntao Chen, Yunhan Huang, Rui Zhang, Quanyan Zhu
The designed curing strategy globally optimizes the trade-off between the curing cost and the severity of epidemics in the network.
no code implementations • 19 Nov 2020 • Guanze Peng, Tao Li, Shutian Liu, Juntao Chen, Quanyan Zhu
We use \textit{awareness levels} to capture the scope of the network constraints that players are aware of.