Yu Wang

According to our database, Yu Wang authored at least 10 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

We Need to Talk About Reproducibility in NLP Model Comparison.

Yan Xue, Xuefei Cao, Xingli Yang, Yu Wang, Ruibo Wang, Jihong Li

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2020

Tuning Parameter Selection Based on Blocked 3˟ 2 Cross-Validation for High-Dimensional Linear Regression Model.

Xingli Yang, Yu Wang, Ruibo Wang, Mengmeng Chen, Jihong Li

Neural Process. Lett., 2020

2019

Calibrating GloVe model on the principle of Zipf's law.

Xuefei Cao, Jihong Li, Ruibo Wang, Yu Wang, Qian Niu, Junfeng Shi

Pattern Recognit. Lett., 2019

2017

Choosing Between Two Classification Learning Algorithms Based on Calibrated Balanced 5 × 2 Cross-Validated F-Test.

Yu Wang, Jihong Li, Yanfang Li

Neural Process. Lett., 2017

Block-Regularized <i>m</i> × <i>2</i> Cross-Validated Estimator of the Generalization Error.

Ruibo Wang, Yu Wang, Jihong Li, Xingli Yang, Jing Yang

Neural Comput., 2017

2016

Credible Intervals for Precision and Recall Based on a <i>K</i>-Fold Cross-Validated Beta Distribution.

Yu Wang, Jihong Li

Neural Comput., 2016

Unbiased condition of the dispersion effects estimator in unreplicated two-level factorial experiments.

Yang Liu, Jihong Li, Yu Wang

J. Syst. Sci. Complex., 2016

2015

Confidence Interval for F₁ Measure of Algorithm Performance Based on Blocked 3× 2 Cross-Validation.

Yu Wang, Jihong Li, Yanfang Li, Ruibo Wang, Xingli Yang

IEEE Trans. Knowl. Data Eng., 2015

Measure for data partitioning in m × 2 cross-validation.

Yu Wang, Jihong Li, Yanfang Li

Pattern Recognit. Lett., 2015

2014

Blocked 3×2 Cross-Validated <i>t</i>-Test for Comparing Supervised Classification Learning Algorithms.

Yu Wang, Ruibo Wang, Huichen Jia, Jihong Li

Neural Comput., 2014