Xukang Wang

Orcid: 0000-0002-1077-5219

According to our database1, Xukang Wang authored at least 13 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Advancing legal recommendation system with enhanced Bayesian network machine learning.
Artif. Intell. Law, March, 2026

CAT-Sleep: Cross-modal attention for single-epoch EEG and EOG sleep staging.
Biomed. Signal Process. Control., 2026

2025
Linking Urban Morphology and Human Activity Patterns: An Empirical Study Based on Mobility Survey Data from the Paris Region.
Proceedings of the IEEE International Conference on Big Data, 2025

2024
Blockchain-Based Zero-Trust Supply Chain Security Integrated with Deep Reinforcement Learning for Inventory Optimization.
Future Internet, May, 2024

Algorithmic discrimination: examining its types and regulatory measures with emphasis on US legal practices.
Frontiers Artif. Intell., 2024

Beyond surveillance: privacy, ethics, and regulations in face recognition technology.
Frontiers Big Data, 2024

Blockchain in the courtroom: exploring its evidentiary significance and procedural implications in U.S. judicial processes.
Frontiers Blockchain, 2024

Enhancing Auto Insurance Risk Evaluation With Transformer and SHAP.
IEEE Access, 2024

Deep-Learning-Based Pre-Training and Refined Tuning for Web Summarization Software.
IEEE Access, 2024

Deep-Learning-Based Lithium Battery Defect Detection via Cross-Domain Generalization.
IEEE Access, 2024

2023
Automated Machine Learning in Waste Classification: A Revolutionary Approach to Efficiency and Accuracy.
Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition, 2023

2021
Author Correction: Augmenting vascular disease diagnosis by vasculature-aware unsupervised learning.
Nat. Mach. Intell., 2021

2020
Augmenting vascular disease diagnosis by vasculature-aware unsupervised learning.
Nat. Mach. Intell., 2020


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