郭艳婷｜重庆科技学院｜学者主页

2026

MC-SNN: Multicenter Stochastic Neural Network for Adversarially Robust Learning.

Meng Hu, Ran Wang, Yanting Guo, Xizhao Wang, S. Kwong

IEEE Transactions on Cybernetics

DOI

2026

AT-AER: Adversarial Training With Adaptive Example Reuse

Meng Hu, Yanting Guo, Ran Wang, Xizhao Wang, Rihao Li, Qin Wang

CAAI Transactions on Intelligence Technology

DOI

2024

Attribute reduction with fuzzy kernel-induced relations

Meng Hu, Yanting Guo, Ran Wang, Xizhao Wang

Information Sciences

DOI

2023

Attribute reduction based on neighborhood constrained fuzzy rough sets

Meng Hu, Yanting Guo, Degang Chen, E. Tsang, Qingshuo Zhang

Knowledge-Based Systems

DOI

2023

Ensemble of kernel extreme learning machine based elimination optimization for multi-label classification

Qingshuo Zhang, E. Tsang, Qiang He, Yanting Guo

Knowledge-Based Systems

DOI

2023

Local Weighted Neighborhood Rough Sets for Weakly Labeled Data

Yanting Guo, Meng Hu, Qiang Liu, Eric C. C. Tsang, Xizhao Wang

International Conference on Machine Learning and Computing

DOI

2022

A robust approach to attribute reduction based on double fuzzy consistency measure

Yanting Guo, Meng Hu, Xi-Zhao Wang, E. Tsang, Degang Chen, Wei-Hua Xu

Knowledge-Based Systems

DOI

2021

Fast and Robust Attribute Reduction Based on the Separability in Fuzzy Decision Systems

Meng Hu, E. Tsang, Yanting Guo, Wei-Hua Xu

IEEE Transactions on Cybernetics

DOI

2021

Attribute reduction based on overlap degree and k-nearest-neighbor rough sets in decision information systems

Meng Hu, E. Tsang, Yanting Guo, Degang Chen, Wei-Hua Xu

Information Sciences

DOI

2021

Feature selection based on min-redundancy and max-consistency

Yanting Guo, Meng Hu, E. Tsang, Degang Chen, Weihua Xu

Advances in Computational Intelligence

DOI

2021

An Improved ${k}$-Means Algorithm with Spatial Constraints for Image Segmentation

Meng Hu, E. Tsang, Yanting Guo, Qingshuo Zhang

International Conference on Machine Learning and Computing

DOI

2021

Local Weighted Generalized Multigranulation Neighborhood Rough Set

Yanting Guo, E. Tsang, Meng Hu

International Conference on Wavelet Analysis and Pattern Recognition

DOI

2021

A novel approach to concept-cognitive learning in interval-valued formal contexts: a granular computing viewpoint

Meng Hu, E. Tsang, Yanting Guo, Qingshuo Zhang, Degang Chen, Wei-Hua Xu

International Journal of Machine Learning and Cybernetics

DOI

2021

A novel approach to attribute reduction based on weighted neighborhood rough sets

Meng Hu, E. Tsang, Yanting Guo, Degang Chen, Wei-Hua Xu

Knowledge-Based Systems

DOI

2020

Adaptive weighted generalized multi-granulation interval-valued decision-theoretic rough sets

Yanting Guo, E. Tsang, Wei-Hua Xu, Degang Chen

Knowledge-Based Systems

DOI

2020

Incremental updating approximations for double-quantitative decision-theoretic rough sets with the variation of objects

Yanting Guo, E. Tsang, Meng Hu, Xuxin Lin, Degang Chen, Wei-Hua Xu, Bin-Bin Sang

Knowledge-Based Systems

DOI

2020

A Fast Reduction Algorithm with Attribute Pre-Sort Based on Neighborhood Rough Set

Meng Hu, E. Tsang, Yanting Guo, Wei-Hua Xu, Degang Chen

International Conference on Machine Learning and Computing

DOI

2019

Generalized multi-granulation double-quantitative decision-theoretic rough set of multi-source information system

Bin-Bin Sang, Lei Yang, Hong-Mei Chen, Wei-Hua Xu, Yanting Guo, Zhong Yuan

International Journal of Approximate Reasoning

DOI

2019

Local logical disjunction double-quantitative rough sets

Yanting Guo, E. Tsang, Wei-Hua Xu, Degang Chen

Information Sciences

DOI

2018

Logical Disjunction Double-Quantitative Fuzzy Rough Sets

Yanting Guo, E. Tsang, Wei-Hua Xu, Degang Chen

International Conference on Machine Learning and Computing

DOI

2017

直觉模糊序信息系统下基于精度与程度逻辑运算的粗糙集

胡猛，徐伟华，李蒙蒙，郭艳婷

《模糊系统与数学》

2017

A weighted multi-granulation decision-theoretic approach to multi-source decision systems

Yanting Guo, E. Tsang, Wei-Hua Xu

International Conference on Machine Learning and Computing

DOI

2017

Decision-theoretic rough set model of multi-source decision systems

Bin-Bin Sang, Yanting Guo, De-Rong Shi, Wei-Hua Xu

International Journal of Machine Learning and Cybernetics

DOI

2016

Rough fuzzy set based on logical disjunct operation of variable precision and grade in ordered information system

Yanting Guo, Wei-Hua Xu

Chinese Control and Decision Conference

DOI

2016

优势关系下直觉模糊信息系统的变精度与程度“逻辑或”粗糙集 The “Logical Or” Rough Set Theory of Variable Precision and Grade Based on Dominance Relation in Intuitionistic Fuzzy Information System

Meng Hu, Yanting Guo, Wei-Hua Xu

DOI

2016

一般化多重粒度二重定量的決定理論的ラフ集合【Powered by NICT】

Wei-Hua Xu, Yanting Guo

2016

Generalized multigranulation double-quantitative decision-theoretic rough set

Wei-Hua Xu, Yanting Guo

Knowledge-Based Systems

DOI

2016

Attribute Reduction in Multi-source Decision Systems

Yanting Guo, Wei-Hua Xu

IJCRS

DOI

郭艳婷

精选作品

期刊论文

MC-SNN: Multicenter Stochastic Neural Network for Adversarially Robust Learning.

AT-AER: Adversarial Training With Adaptive Example Reuse

Attribute reduction with fuzzy kernel-induced relations

Attribute reduction based on neighborhood constrained fuzzy rough sets

Ensemble of kernel extreme learning machine based elimination optimization for multi-label classification

Local Weighted Neighborhood Rough Sets for Weakly Labeled Data

A robust approach to attribute reduction based on double fuzzy consistency measure

Fast and Robust Attribute Reduction Based on the Separability in Fuzzy Decision Systems

Attribute reduction based on overlap degree and k-nearest-neighbor rough sets in decision information systems

Feature selection based on min-redundancy and max-consistency

An Improved ${k}$-Means Algorithm with Spatial Constraints for Image Segmentation

Local Weighted Generalized Multigranulation Neighborhood Rough Set

A novel approach to concept-cognitive learning in interval-valued formal contexts: a granular computing viewpoint

A novel approach to attribute reduction based on weighted neighborhood rough sets

Adaptive weighted generalized multi-granulation interval-valued decision-theoretic rough sets

Incremental updating approximations for double-quantitative decision-theoretic rough sets with the variation of objects

A Fast Reduction Algorithm with Attribute Pre-Sort Based on Neighborhood Rough Set

Generalized multi-granulation double-quantitative decision-theoretic rough set of multi-source information system

Local logical disjunction double-quantitative rough sets

Logical Disjunction Double-Quantitative Fuzzy Rough Sets

直觉模糊序信息系统下基于精度与程度逻辑运算的粗糙集

A weighted multi-granulation decision-theoretic approach to multi-source decision systems

Decision-theoretic rough set model of multi-source decision systems

Rough fuzzy set based on logical disjunct operation of variable precision and grade in ordered information system

优势关系下直觉模糊信息系统的变精度与程度“逻辑或”粗糙集 The “Logical Or” Rough Set Theory of Variable Precision and Grade Based on Dominance Relation in Intuitionistic Fuzzy Information System

一般化多重粒度二重定量的決定理論的ラフ集合【Powered by NICT】

Generalized multigranulation double-quantitative decision-theoretic rough set

Attribute Reduction in Multi-source Decision Systems

研究方向