Laurence T. Yang
7 papers in the PaperMetrix corpus
Papers by this author
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Resource requests prediction in the cloud computing environment with a deep belief network
2016 · Software Practice and Experience
Summary Accurate resource requests prediction is essential to achieve optimal job scheduling and load balancing for cloud Computing. Existing prediction approaches fall short in providing satisfactory accuracy because of high variances of cloud metrics. We …
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Dependable Deep Computation Model for Feature Learning on Big Data in Cyber-Physical Systems
2018 · ACM Transactions on Cyber-Physical Systems
With the ongoing development of sensor devices and network techniques, big data are being generated from the cyber-physical systems. Because of sensor equipment occasional failure and network transmission unreliability, a large number of low-quality data, …
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Secure Outsourced Principal Eigentensor Computation for Cyber-Physical-Social Systems
2018 · IEEE Transactions on Sustainable Computing
Cyber-physical-social systems (CPSS) are revolutionizing the relationships between humans, computers, and things. Outsourcing computation to the cloud can offer resources-constrained enterprises and consumers sustainable computing in CPSS. However, ensuring the security of data in such …
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Tensor-Based GAN to Defense Adversarial Attacks for Cyber-Physical-Social System
2021 · IEEE Transactions on Network Science and Engineering
In recent years, considerable achievements made by scientists in artificial intelligence have provided strong support for the development of Cyber-Physical-Social-Systems. Meanwhile, deep computation to realize AI is widely used in various applications, such as object …
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Tensor-Enabled Communication-Efficient and Trustworthy Federated Learning for Heterogeneous Intelligent Space–Air–Ground-Integrated IoT
2023 · IEEE Internet of Things Journal
Federated learning (FL) could provide a promising privacy-preserving intelligent learning paradigm for space–air–ground-integrated Internet of Things (SAGI-IoT) by breaking down data islands and solving the dilemma between data privacy and data sharing. Currently, adaptivity, communication …
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The Comp-TSSs Scheme for Anomaly Detection in AI-Powered Autonomous Driving
2025 · ACM Transactions on Autonomous and Adaptive Systems
Given the vulnerability of vehicular networks to security attacks and the criticality of secure AI-powered autonomous driving, this paper emphasizes the security issue concerning vehicular networks in AI-powered autonomous vehicles. The novel complementary tensor summary …
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TKDA: A Tensor-Based Knowledge Distillation Approach of Anomaly Detection for Industrial Cyber-Physical Intelligence
2025 · IEEE Transactions on Industrial Informatics
The breakthroughs of next-generation information technologies have accelerated the advancement of industrial cyber-physical intelligence (ICPI), particularly in system intelligence and applications. However, this progress has also brought challenges in ensuring operational reliability and system intelligence. …