2025
Towards a Theoretical Understanding of Semi-Supervised Learning Under Class Distribution Mismatch.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2025
Unsupervised Learning for Class Distribution Mismatch.
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CoRR, May, 2025
Personalized Clustering via Targeted Representation Learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Fuzzy rough unlearning model for feature selection.
Int. J. Approx. Reason., February, 2024
2023
Hadamard Encoding Based Frequent Itemset Mining under Local Differential Privacy.
J. Comput. Sci. Technol., December, 2023
Granularity self-information based uncertainty measure for feature selection and robust classification.
Fuzzy Sets Syst., October, 2023
Relative Fuzzy Rough Approximations for Feature Selection and Classification.
IEEE Trans. Cybern., April, 2023
Contrastive Active Learning Under Class Distribution Mismatch.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023
Inaccurate-Supervised Learning With Generative Adversarial Nets.
IEEE Trans. Cybern., March, 2023
Semi-Supervised Learning via Weight-aware Distillation under Class Distribution Mismatch.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Superclass Learning with Representation Enhancement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Domain generalization by class-aware negative sampling-based contrastive learning.
AI Open, January, 2022
Active partial label learning based on adaptive sample selection.
Int. J. Mach. Learn. Cybern., 2022
Efficient protocols for heavy hitter identification with local differential privacy.
Frontiers Comput. Sci., 2022
Oracle-guided Contrastive Clustering.
CoRR, 2022
FLDP: Flexible strategy for local differential privacy.
CoRR, 2022
Exploring Binary Classification Hidden within Partial Label Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Collecting Triangle Counts with Edge Relationship Local Differential Privacy.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Fldp: Flexible Strategy For Local Differential Privacy.
Proceedings of the IEEE International Conference on Acoustics, 2022
FDP-LDA: Inherent Privacy Amplification of Collapsed Gibbs Sampling via Group Subsampling.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022
2021
An Accelerator for Rule Induction in Fuzzy Rough Theory.
IEEE Trans. Fuzzy Syst., 2021
Ensemble selection with joint spectral clustering and structural sparsity.
Pattern Recognit., 2021
Partial Label Learning via Conditional-Label-Aware Disambiguation.
J. Comput. Sci. Technol., 2021
A relative uncertainty measure for fuzzy rough feature selection.
Int. J. Approx. Reason., 2021
Contrastive Coding for Active Learning under Class Distribution Mismatch.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
Incremental feature selection based on fuzzy rough sets.
Inf. Sci., 2020
Discernibility matrix based incremental feature selection on fused decision tables.
Int. J. Approx. Reason., 2020
Partial Label Learning via Generative Adversarial Nets.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
2019
PARA: A positive-region based attribute reduction accelerator.
Inf. Sci., 2019
An Accelerator of Feature Selection Applying a General Fuzzy Rough Model.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019
Privacy Preserving Machine Learning with Limited Information Leakage.
Proceedings of the Network and System Security - 13th International Conference, 2019
Local Differential Privacy with K-anonymous for Frequency Estimation.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
I-mRMR: Incremental Max-Relevance, and Min-Redundancy Feature Selection.
Proceedings of the Web and Big Data - Third International Joint Conference, 2019
2018
Fuzzy Rough Based Feature Selection by Using Random Sampling.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018
Privacy Protection Method Based on Access Control.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018
2017
Weights based ranked fuzzy rough reduction.
Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017
Fuzzy Rough Incremental Attribute Reduction Applying Dependency Measures.
Proceedings of the Web and Big Data - First International Joint Conference, 2017
2016
Random analysis of statistical rough set.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016
2015
A Novel Approach to Building a Robust Fuzzy Rough Classifier.
IEEE Trans. Fuzzy Syst., 2015
The comparative study of fuzzy rough reduction.
Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015
2014
Collusion-Aware Privacy-Preserving Range Query in Tiered Wireless Sensor Networks.
Sensors, 2014
Randomly sampling based fuzzy rough reduction.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
A Fast Algorithm to Building a Fuzzy Rough Classifier.
Proceedings of the Machine Learning and Cybernetics, 2014
2013
RFRR: Robust Fuzzy Rough Reduction.
IEEE Trans. Fuzzy Syst., 2013
Nested structure in parameterized rough reduction.
Inf. Sci., 2013
FARP: Mining fuzzy association rules from a probabilistic quantitative database.
Inf. Sci., 2013
Big data challenge: a data management perspective.
Frontiers Comput. Sci., 2013
Distance-Based Feature Selection from Probabilistic Data.
Proceedings of the Web-Age Information Management - 14th International Conference, 2013
The Nested Structure in Fuzzy Rough Classifier.
Proceedings of the IEEE International Conference on Systems, 2013
The topological structure in parameterized rough sets.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013
A fuzzy approach for mining association rules in a probabilistic database.
Proceedings of the Fifth International Conference on Digital Image Processing, 2013
Efficient Event Prewarning for Sensor Networks with Multi Microenvironments.
Proceedings of the Euro-Par 2013 Parallel Processing, 2013
2012
Sample Pair Selection for Attribute Reduction with Rough Set.
IEEE Trans. Knowl. Data Eng., 2012
A Novel Algorithm for Finding Reducts With Fuzzy Rough Sets.
IEEE Trans. Fuzzy Syst., 2012
Mining Fuzzy Association Rules from Heterogeneous Probabilistic Datasets.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012
2011
Fuzzy rough set based attribute reduction for information systems with fuzzy decisions.
Knowl. Based Syst., 2011
A property of reductions in Fuzzy Variable Precision Rough Set model.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011
2010
Decision Table Reduction in KDD: Fuzzy Rough Based Approach.
Trans. Rough Sets, 2010
Building a Rule-Based Classifier—A Fuzzy-Rough Set Approach.
IEEE Trans. Knowl. Data Eng., 2010
Local reduction of decision system with fuzzy rough sets.
Fuzzy Sets Syst., 2010
2009
The Model of Fuzzy Variable Precision Rough Sets.
IEEE Trans. Fuzzy Syst., 2009
2008
Hybridization of Fuzzy and Rough Sets: Present and Future.
Proceedings of the Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, 2008
On fuzzy approximation operators in attribute reduction with fuzzy rough sets.
Inf. Sci., 2008
2007
Learning fuzzy rules from fuzzy samples based on rough set technique.
Inf. Sci., 2007
An approach of attributes reduction based on fuzzy TL rough sets.
Proceedings of the IEEE International Conference on Systems, 2007
Attribute Reduction Based on Fuzzy Rough Sets.
Proceedings of the Rough Sets and Intelligent Systems Paradigms, International Conference, 2007
2006
A Discussion of Attribute Reduction in Fuzzy Rough Sets Using Support Vector Machine.
Proceedings of the IEEE International Conference on Systems, 2006
2005
Learning from an Incomplete Information System with Continuous-Valued Attributes by a Rough Set Technique.
Proceedings of the Advances in Machine Learning and Cybernetics, 2005