Xiaokang Wang

Orcid: 0000-0001-9442-5648

Affiliations:
  • Beihang University, School of Economics and Management, Beijing, China


According to our database1, Xiaokang Wang authored at least 14 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Human-AI collaborative scoring strategy of subjective assignments considering learning and fatigue effects.
Expert Syst. Appl., 2026

2025
Counterfactual Music Recommendation for Mitigating Popularity Bias.
IEEE Trans. Comput. Soc. Syst., April, 2025

Frequency-enhanced and decomposed transformer for multivariate time series anomaly detection.
Appl. Intell., April, 2025

SemiHAR: Improving Semisupervised Human Activity Recognition via Multitask Learning.
IEEE Trans. Neural Networks Learn. Syst., January, 2025

2024
Threshold optimization of task allocation models in human-machine collaborative scoring of subjective assignments.
Comput. Ind. Eng., 2024

2023
Skeleton estimation of directed acyclic graphs using partial least squares from correlated data.
Pattern Recognit., July, 2023

SFCC: Data Augmentation with Stratified Fourier Coefficients Combination for Time Series Classification.
Neural Process. Lett., April, 2023

2022
TSadv: Black-box adversarial attack on time series with local perturbations.
Eng. Appl. Artif. Intell., 2022

Dynamic feature weighting for data streams with distribution-based log-likelihood divergence.
Eng. Appl. Artif. Intell., 2022

2021
Convex clustering method for compositional data modeling.
Soft Comput., 2021

Risk spillover network structure learning for correlated financial assets: A directed acyclic graph approach.
Inf. Sci., 2021

Convex clustering method for compositional data via sparse group lasso.
Neurocomputing, 2021

2020
A density weighted fuzzy outlier clustering approach for class imbalanced learning.
Neural Comput. Appl., 2020

2019
A Fuzzy Consensus Clustering Based Undersampling Approach for Class Imbalanced Learning.
Proceedings of the ACAI 2019: 2nd International Conference on Algorithms, 2019


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