Xiaotang Zhou

According to our database, Xiaotang Zhou authored at least 17 papers between 2014 and 2024.

Collaborative distances:

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

2024

Multi-objective optimization-based and fault localization-oriented test case generation for novice programs.

Yong Liu, Zezhong Yang, Luxi Fan, Yonghao Wu, Xiang Chen, Xiaotang Zhou

J. Softw. Evol. Process., October, 2024

2023

Fusing sentiment knowledge and inter-aspect dependency based on gated mechanism for aspect-level sentiment classification.

Yu Han, Xiaotang Zhou, Guishen Wang, Yuncong Feng, Hui Zhao, Junhua Wang

Neurocomputing, September, 2023

Medical image fusion using bilateral texture filtering.

Yuncong Feng, Jie Wu, Xiaohan Hu, Wenjuan Zhang, Guishen Wang, Xiaotang Zhou, Xiaoli Zhang

Biomed. Signal Process. Control., August, 2023

Dynamic multichannel fusion mechanism based on a graph attention network and BERT for aspect-based sentiment classification.

Xiaotang Zhou, Tao Zhang, Chao Cheng, Shinan Song

Appl. Intell., March, 2023

2021

Applying Faulty Statement Category Frequency to Localize Faults for Student Programs.

Zheng Li, Xiaotang Zhou, Yonghao Wu, Yong Liu, Xiang Chen

Proceedings of the 16th International Conference on Computer Science & Education, 2021

Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts.

Yiming Wang, Ximing Li, Xiaotang Zhou, Jihong Ouyang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Fault Localization-Guided Test Data Generation Approach for Novice Programs.

Zheng Li, Xiaotang Zhou, Deli Yu, Yonghao Wu, Yong Liu, Xiang Chen

Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021

2018

A more time-efficient gibbs sampling algorithm based on SparseLDA for latent dirichlet allocation.

Xiaotang Zhou, Jihong Ouyang, Ximing Li

Intell. Data Anal., 2018

Two time-efficient gibbs sampling inference algorithms for biterm topic model.

Xiaotang Zhou, Jihong Ouyang, Ximing Li

Appl. Intell., 2018

2016

Labelset topic model for multi-label document classification.

Ximing Li, Jihong Ouyang, Xiaotang Zhou

J. Intell. Inf. Syst., 2016

A kernel-based centroid classifier using hypothesis margin.

Ximing Li, Jihong Ouyang, Xiaotang Zhou

J. Exp. Theor. Artif. Intell., 2016

Sparse Hybrid Variational-Gibbs Algorithm for Latent Dirichlet Allocation.

Ximing Li, Jihong Ouyang, Xiaotang Zhou

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

2015

Centroid prior topic model for multi-label classification.

Ximing Li, Jihong Ouyang, Xiaotang Zhou

Pattern Recognit. Lett., 2015

Group topic model: organizing topics into groups.

Ximing Li, Jihong Ouyang, You Lu, Xiaotang Zhou, Tian Tian

Inf. Retr. J., 2015

Supervised topic models for multi-label classification.

Ximing Li, Jihong Ouyang, Xiaotang Zhou

Neurocomputing, 2015

Supervised labeled latent Dirichlet allocation for document categorization.

Ximing Li, Jihong Ouyang, Xiaotang Zhou, You Lu, Yanhui Liu

Appl. Intell., 2015

2014

Adaptive Centroid-Based Clustering Algorithm for Text Document Data.

Ximing Li, Jihong Ouyang, Xiaotang Zhou, Bo Fu

Proceedings of the Sixth International Symposium on Parallel Architectures, 2014