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Xiao Yu Wang
Researcher at University of Waterloo
Publications - 36
Citations - 617
Xiao Yu Wang is an academic researcher from University of Waterloo. The author has contributed to research in topics: Cognitive radio & Wireless network. The author has an hindex of 10, co-authored 36 publications receiving 554 citations.
Papers
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Journal ArticleDOI
TSVC: timed efficient and secure vehicular communications with privacy preserving
TL;DR: Simulation results demonstrate that TSVC maintains acceptable packet latency with much less packet overhead, while significantly reducing the packet loss ratio compared with that of the existing public key infrastructure (PKI) based schemes, especially when the road traffic is heavy.
Journal ArticleDOI
A Novel Sensing Coordination Framework for CR-VANETs
Xiao Yu Wang,Pin-Han Ho +1 more
TL;DR: This paper will demonstrate the feasibility and appropriateness of the proposed CR sensing framework in CR-VANETs and verify its performance through extensive simulations in terms of the success rate of spectrum sensing, sensing overhead, probability of sensing conflict, and temporal usage rate.
Posted Content
Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms
Zhong Qiu Lin,Mohammad Javad Shafiee,Stanislav Bochkarev,Michael St. Jules,Xiao Yu Wang,Alexander Wong +5 more
TL;DR: This study explores a more machine-centric strategy for quantifying the performance of explainability methods on deep neural networks via the notion of decision-making impact analysis and introduces two quantitative performance metrics: Impact Score, which assesses the percentage of critical factors with either strong confidence reduction impact or decision changing impact, and Impact Coverage, which assessing the percentage coverage of adversarially impacted factors in the input.
Journal ArticleDOI
Extended Knowledge-Based Reasoning Approach to Spectrum Sensing for Cognitive Radio
TL;DR: Numerical results show that the proposed EKBR scheme achieves better performance than that by the state-or-the-art techniques while yielding less computation complexity and sensing overhead.
Journal ArticleDOI
Stochastic Medium Access for Cognitive Radio Ad Hoc Networks
TL;DR: A novel Stochastic Medium Access (SMA) scheme is developed to serve in a CR network without dedicated control channels, such that the probability of successful channel accesses can be maximized and interference constraints are taken into account.