Wei Wei

Orcid: 0000-0003-3963-2884

Affiliations:
  • Shanxi University, School of Computer and Information Technology, MOE Key Laboratory of Computational Intelligence and Chinese Information Processing, Taiyuan, China (PhD 2012)


According to our database1, Wei Wei authored at least 48 papers between 2008 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Re-attentive experience replay in off-policy reinforcement learning.
Mach. Learn., May, 2024

An incremental feature selection approach for dynamic feature variation.
Neurocomputing, February, 2024

A unified framework to control estimation error in reinforcement learning.
Neural Networks, 2024

Controlling estimation error in reinforcement learning via Reinforced Operation.
Inf. Sci., 2024

Prompt-based learning framework for zero-shot cross-lingual text classification.
Eng. Appl. Artif. Intell., 2024

Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Multi-actor mechanism for actor-critic reinforcement learning.
Inf. Sci., November, 2023

A bi-level metric learning framework via self-paced learning weighting.
Pattern Recognit., July, 2023

Multiple metric learning via local metric fusion.
Inf. Sci., April, 2023

Unsupervised Dimensionality Reduction Based on Fusing Multiple Clustering Results.
IEEE Trans. Knowl. Data Eng., March, 2023

Hybrid sampling-based contrastive learning for imbalanced node classification.
Int. J. Mach. Learn. Cybern., March, 2023

Set-membership Belief State-based Reinforcement Learning for POMDPs.
Proceedings of the International Conference on Machine Learning, 2023

2022
A group incremental approach for feature selection on hybrid data.
Soft Comput., 2022

Metric learning via perturbing hard-to-classify instances.
Pattern Recognit., 2022

Accelerating ReliefF using information granulation.
Int. J. Mach. Learn. Cybern., 2022

Hierarchical metric learning with intra-level and inter-level regularization.
Int. J. Mach. Learn. Cybern., 2022

Deep Multilabel Multilingual Document Learning for Cross-Lingual Document Retrieval.
Entropy, 2022

Controlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Subnetwork reliability analysis of bubble-sort graph networks.
Theor. Comput. Sci., 2021

Metric learning with clustering-based constraints.
Int. J. Mach. Learn. Cybern., 2021

Graph-based semi-supervised learning via improving the quality of the graph dynamically.
Mach. Learn., 2021

Effects of Digital Communication Between Cultures Based on Intelligent Internet Platforms.
Proceedings of the 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, 2021

Organic Integration of Information Technology and College English Teaching in English Information Teaching System.
Proceedings of the ICISCAE 2021: 4th International Conference on Information Systems and Computer Aided Education, Dalian, China, September 24, 2021

2019
Accelerating incremental attribute reduction algorithm by compacting a decision table.
Int. J. Mach. Learn. Cybern., 2019

Information fusion in rough set theory : An overview.
Inf. Fusion, 2019

Hierarchical division clustering framework for categorical data.
Neurocomputing, 2019

Subnetwork reliability analysis in k-ary n-cubes.
Discret. Appl. Math., 2019

2018
Discernibility matrix based incremental attribute reduction for dynamic data.
Knowl. Based Syst., 2018

基于信息熵的半监督特征选择算法 (Semi-supervised Feature Selection Algorithm Based on Information Entropy).
计算机科学, 2018

A cautious ranking methodology with its application for stock screening.
Appl. Soft Comput., 2018

2016
Fuzzy rough approximations for set-valued data.
Inf. Sci., 2016

2015
Compacted decision tables based attribute reduction.
Knowl. Based Syst., 2015

缺失数据数据集的组增量式特征选择 (Group Feature Selection Algorithm for Data Sets with Missing Data).
计算机科学, 2015

2013
Consistency-preserving attribute reduction in fuzzy rough set framework.
Int. J. Mach. Learn. Cybern., 2013

An accelerator for attribute reduction based on perspective of objects and attributes.
Knowl. Based Syst., 2013

Can fuzzy entropies be effective measures for evaluating the roughness of a rough set?
Inf. Sci., 2013

Decision-relative discernibility matrices in the sense of entropies.
Int. J. Gen. Syst., 2013

2012
Evaluation of the decision performance of the decision rule set from an ordered decision table.
Knowl. Based Syst., 2012

A comparative study of rough sets for hybrid data.
Inf. Sci., 2012

Fuzziness-Preserving Attribute Reduction from Hybrid Data.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

Variable precision multi-granulation rough set.
Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

2010
Comparative study of decision performance of decision tables induced by attribute reductions.
Int. J. Gen. Syst., 2010

On Partial Order Relations in Granular Computing.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

2009
A Time-Reduction Strategy to Feature Selection in Rough Set Theory.
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

An attribute reduction approach and its accelerated version for hybrid data.
Proceedings of the 8th IEEE International Conference on Cognitive Informatics, 2009

2008
Consistency and Fuzziness in Ordered Decision Tables.
Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

Change Mechanism of a Decision Table's Decision Performance caused by Attribute Reductions.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

Granulation Operators on a Knowledge Base.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008


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