2025
Rethinking exploration-exploitation trade-off in reinforcement learning via cognitive consistency.
Neural Networks, 2025
Dynamic Uncertainty Estimation for Offline Reinforcement Learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
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
Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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
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
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