Wei Wei

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

Collaborative distances:

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

2024

Re-attentive experience replay in off-policy reinforcement learning.

Wei Wei, Da Wang, Lin Li, Jiye Liang

Mach. Learn., May, 2024

An incremental feature selection approach for dynamic feature variation.

Feng Wang, Xinhao Wang, Wei Wei, Jiye Liang

Neurocomputing, February, 2024

A unified framework to control estimation error in reinforcement learning.

Yujia Zhang, Lin Li, Wei Wei, Yunpeng Lv, Jiye Liang

Neural Networks, 2024

Controlling estimation error in reinforcement learning via Reinforced Operation.

Yujia Zhang, Lin Li, Wei Wei, Xiu You, Jiye Liang

Inf. Sci., 2024

Prompt-based learning framework for zero-shot cross-lingual text classification.

Kai Feng, Lan Huang, Kangping Wang, Wei Wei, Rui Zhang

Eng. Appl. Artif. Intell., 2024

Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting.

Da Wang, Lin Li, Wei Wei, Qixian Yu, Jianye Hao, Jiye Liang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Multi-actor mechanism for actor-critic reinforcement learning.

Lin Li, Yuze Li, Wei Wei, Yujia Zhang, Jiye Liang

Inf. Sci., November, 2023

A bi-level metric learning framework via self-paced learning weighting.

Jing Yan, Wei Wei, Xinyao Guo, Chuangyin Dang, Jiye Liang

Pattern Recognit., July, 2023

Multiple metric learning via local metric fusion.

Xinyao Guo, Lin Li, Chuangyin Dang, Jiye Liang, Wei Wei

Inf. Sci., April, 2023

Unsupervised Dimensionality Reduction Based on Fusing Multiple Clustering Results.

Wei Wei, Qin Yue, Kai Feng, Junbiao Cui, Jiye Liang

IEEE Trans. Knowl. Data Eng., March, 2023

Hybrid sampling-based contrastive learning for imbalanced node classification.

Caixia Cui, Jie Wang, Wei Wei, Jiye Liang

Int. J. Mach. Learn. Cybern., March, 2023

Set-membership Belief State-based Reinforcement Learning for POMDPs.

Wei Wei, Lijun Zhang, Lin Li, Huizhong Song, Jiye Liang

Proceedings of the International Conference on Machine Learning, 2023

2022

A group incremental approach for feature selection on hybrid data.

Feng Wang, Wei Wei, Jiye Liang

Soft Comput., 2022

Metric learning via perturbing hard-to-classify instances.

Xinyao Guo, Wei Wei, Jianqing Liang, Chuangyin Dang, Jiye Liang

Pattern Recognit., 2022

Accelerating ReliefF using information granulation.

Wei Wei, Da Wang, Jiye Liang

Int. J. Mach. Learn. Cybern., 2022

Hierarchical metric learning with intra-level and inter-level regularization.

Lin Li, Ting Li, Wei Wei, Xinyao Guo, Jiye Liang

Int. J. Mach. Learn. Cybern., 2022

Deep Multilabel Multilingual Document Learning for Cross-Lingual Document Retrieval.

Kai Feng, Lan Huang, Hao Xu, Kangping Wang, Wei Wei, Rui Zhang

Entropy, 2022

Controlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation.

Wei Wei, Yujia Zhang, Jiye Liang, Lin Li, Yuze Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Subnetwork reliability analysis of bubble-sort graph networks.

Kai Feng, Xinyu Ma, Wei Wei

Theor. Comput. Sci., 2021

Metric learning with clustering-based constraints.

Xinyao Guo, Chuangyin Dang, Jianqing Liang, Wei Wei, Jiye Liang

Int. J. Mach. Learn. Cybern., 2021

Graph-based semi-supervised learning via improving the quality of the graph dynamically.

Jiye Liang, Junbiao Cui, Jie Wang, Wei Wei

Mach. Learn., 2021

Effects of Digital Communication Between Cultures Based on Intelligent Internet Platforms.

Dapeng Li, Jun Wang, Wei Wei

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.

Wei Wei, Kai Feng, Dapeng Li, Linying Yu

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.

Wei Wei, Peng Song, Jiye Liang, Xiaoying Wu

Int. J. Mach. Learn. Cybern., 2019

Information fusion in rough set theory : An overview.

Wei Wei, Jiye Liang

Inf. Fusion, 2019

Hierarchical division clustering framework for categorical data.

Wei Wei, Jiye Liang, Xinyao Guo, Peng Song, Yijun Sun

Neurocomputing, 2019

Subnetwork reliability analysis in k-ary n-cubes.

Kai Feng, Zhangjian Ji, Wei Wei

Discret. Appl. Math., 2019

2018

Discernibility matrix based incremental attribute reduction for dynamic data.

Wei Wei, Xiaoying Wu, Jiye Liang, Junbiao Cui, Yijun Sun

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).

Feng Wang, Jichao Liu, Wei Wei

计算机科学, 2018

A cautious ranking methodology with its application for stock screening.

Peng Song, Jiye Liang, Yuhua Qian, Wei Wei, Feng Wang

Appl. Soft Comput., 2018

2016

Fuzzy rough approximations for set-valued data.

Wei Wei, Junbiao Cui, Jiye Liang, Junhong Wang

Inf. Sci., 2016

2015

Compacted decision tables based attribute reduction.

Wei Wei, Junhong Wang, Jiye Liang, Xin Mi, Chuangyin Dang

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).

Feng Wang, Wei Wei

计算机科学, 2015

2013

Consistency-preserving attribute reduction in fuzzy rough set framework.

Yuhua Qian, Jiye Liang, Wei Wei

Int. J. Mach. Learn. Cybern., 2013

An accelerator for attribute reduction based on perspective of objects and attributes.

Jiye Liang, Junrong Mi, Wei Wei, Feng Wang

Knowl. Based Syst., 2013

Can fuzzy entropies be effective measures for evaluating the roughness of a rough set?

Wei Wei, Jiye Liang, Yuhua Qian, Chuangyin Dang

Inf. Sci., 2013

Decision-relative discernibility matrices in the sense of entropies.

Wei Wei, Jiye Liang, Junhong Wang, Yuhua Qian

Int. J. Gen. Syst., 2013

2012

Evaluation of the decision performance of the decision rule set from an ordered decision table.

Yuhua Qian, Jiye Liang, Peng Song, Chuangyin Dang, Wei Wei

Knowl. Based Syst., 2012

A comparative study of rough sets for hybrid data.

Wei Wei, Jiye Liang, Yuhua Qian

Inf. Sci., 2012

Fuzziness-Preserving Attribute Reduction from Hybrid Data.

Wei Wei, Jiye Liang, Yuhua Qian, Junhong Wang

Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

Variable precision multi-granulation rough set.

Wei Wei, Jiye Liang, Yuhua Qian, Feng Wang

Proceedings of the 2012 IEEE International Conference on Granular Computing, 2012

2010

Comparative study of decision performance of decision tables induced by attribute reductions.

Wei Wei, Jiye Liang, Yuhua Qian, Feng Wang, Chuangyin Dang

Int. J. Gen. Syst., 2010

On Partial Order Relations in Granular Computing.

Hongxing Chen, Yuhua Qian, Jiye Liang, Wei Wei

Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

2009

A Time-Reduction Strategy to Feature Selection in Rough Set Theory.

Hongxing Chen, Yuhua Qian, Jiye Liang, Wei Wei, Feng Wang

Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

An attribute reduction approach and its accelerated version for hybrid data.

Wei Wei, Jiye Liang, Yuhua Qian, Feng Wang

Proceedings of the 8th IEEE International Conference on Cognitive Informatics, 2009

2008

Consistency and Fuzziness in Ordered Decision Tables.

Yuhua Qian, Jiye Liang, Wei Wei, Feng Wang

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.

Wei Wei, Jiye Liang, Yuhua Qian

Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

Granulation Operators on a Knowledge Base.

Yuhua Qian, Jiye Liang, Wei Wei

Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008