Xiaojian Wang
College of Engineering
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Works (5)
Updated: November 4th, 2024 08:52
2024 article
FENDI: Toward High-Fidelity Entanglement Distribution in the Quantum Internet
Gu, H., Li, Z., Yu, R., Wang, X., Zhou, F., Liu, J., & Xue, G. (2024, September 13). IEEE-ACM TRANSACTIONS ON NETWORKING, Vol. 9.
author keywords: Quantum networks; Quantum entanglement; Protocols; Photonics; Routing; Qubit; Topology; Quantum network; entanglement routing; entanglement fidelity; network optimization; approximation algorithm
open access via arxiv.org (repository)
Sources: Web Of Science, NC State University Libraries
Added: September 23, 2024
2024 article
Fence: Fee-Based Online Balance-Aware Routing in Payment Channel Networks
Wang, X., Yu, R., Yang, D., Xue, G., Gu, H., Li, Z., & Zhou, F. (2023, October 16). IEEE-ACM TRANSACTIONS ON NETWORKING, Vol. 10.
author keywords: Routing; Throughput; Blockchains; Bitcoin; Security; Scalability; Privacy; Blockchain; payment channel network; routing; online algorithm; competitive analysis
Sources: Web Of Science, NC State University Libraries
Added: November 13, 2023
2022 journal article
Cross-Domain Industrial Intrusion Detection Deep Model Trained With Imbalanced Data
IEEE INTERNET OF THINGS JOURNAL, 10(1), 584–596.
author keywords: Attention mechanism; domain-adversarial train-ing; industrial control system (ICS); intrusion detection system (IDS); transfer learning (TL)
TL;DR:
This article enhanced the information transmission link in adversarial domain adaptation (DA) and proposed an information-enhanced adversarial DA (IADA) method that could train a cross-domain industrial intrusion detection deep model with imbalanced data and maintained high detection accuracy.
(via Semantic Scholar)
Source: Web Of Science
Added: February 13, 2023
2022 article
FedAegis: Edge-Based Byzantine-Robust Federated Learning for Heterogeneous Data
2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022), pp. 3005–3010.
author keywords: Federated learning; edge computing; data heterogeneity; Byzantine robustness; distributionally robust optimization
TL;DR:
Experiments show that the proposed FedAegis algorithm can achieve convergence and high accuracy under heterogeneous data and various attack scenarios, while state-of-the-art defenses and robustness mechanisms are non-converging or have reduced average and/or worst-case accuracy.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: December 4, 2022
2022 article
Why Riding the Lightning? Equilibrium Analysis for Payment Hub Pricing
IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022), pp. 5409–5414.
Event: IEEE
author keywords: Payment channel network; game theory; price-setting competition; Bertrand competition
TL;DR:
This paper applies equilibrium analysis to the price-setting game between two payment hubs in the PCN with limited channel capacities and partial overlap demand and analyzes existence of pure Nash Equilibriums (NEs) and bounds on the equilibrium revenue under various cases, and proposes an algorithm to find all pure NEs.
(via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: December 4, 2022
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