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Xin Liu

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Related publications (13)

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Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks

Yuning Jiang, Wei Chen, Xin Liu, Ting Wang

With the growing popularity of electric vehicles (EVs), maintaining power grid stability has become a significant challenge. To address this issue, EV charging control strategies have been developed to manage the switch between vehicle-to-grid (V2G) and gr ...

Ieee-Inst Electrical Electronics Engineers Inc2024

A low-temperature prismatic slip instability in Mg understood using machine learning potentials

William Curtin, Xin Liu, Binglun Yin, Tao Liu

Prismatic slip in magnesium at temperatures T

PERGAMON-ELSEVIER SCIENCE LTD2023

Federated Linear Bandit Learning via Over-the-air Computation

Yuning Jiang, Xin Liu, Ting Wang

In this paper, we investigate federated contextual linear bandit learning within a wireless system that comprises a server and multiple devices. Each device interacts with the environment, selects an action based on the received reward, and sends model upd ...

IEEE2023

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All-inorganic cesium lead iodide perovskites (CsPbI3) are promising materials for efficient solar cells. However, they suffer from the formation of an undesired yellow delta -phase under ambient conditions. Herein, we provide a novel strategy to in situ pr ...

2020

Printed silk-fibroin-based triboelectric nanogenerators for multi-functional wearable sensing

Jürgen Brugger, Xiao Sheng Zhang, Xin Liu

The rapid development of wearable sensing technology exhibits unprecedented opportunities for artificial intelligence by establishing an interactive interface between the physical and the virtual worlds. Energy preservation and multi-functional integration ...

ELSEVIER2019

Optimization Of Compound Regularization Parameters Based On Stein'S Unbiased Risk Estimate

Xin Liu, Hanjie Pan, Feng Xue, Jiaqi Liu

Recently, the type of compound regularizers has become a popular choice for signal reconstruction. The estimation quality is generally sensitive to the values of multiple regularization parameters. In this work, based on BDF algorithm, we develop a data-dr ...

Ieee2017

Towards a highly effective and robust Web credibility evaluation system

Karl Aberer, Xin Liu

By leveraging crowdsourcing, Web credibility evaluation systems (WCESs) have become a promising tool to assess the credibility of Web content, e.g., Web pages. However, existing systems adopt a passive Way to collect users' credibility ratings, which incur ...

Elsevier Science Bv2015

A Generic Trust Framework For Large-Scale Open Systems Using Machine Learning

Anwitaman Datta, Xin Liu

In many large-scale distributed systems and on the Web, agents need to interact with other unknown agents to carry out some tasks or transactions. The ability to reason about and assess the potential risks in carrying out such transactions is essential for ...

Wiley-Blackwell2014

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With the prosperity of cloud computing, an increasing number of Small and Medium-sized Enterprises (SMEs) move their business to public clouds such as Amazon EC2. To help tenants deploy services in the cloud, researchers either conduct performance evaluati ...

IEEE Computer Society2013

Models of computational trust support users in taking decisions. They are commonly used to guide users' judgements in online auction sites; or to determine quality of contributions in Web 2.0 sites. However, most existing systems require historical informa ...

Elsevier2013