Jiye Liang

Jiye Liang, Xiaomei Yang, Jianchao Zeng, 2009, 2009 International Conference on Information Management, Innovation Management and Industrial Engineering.

A cluster centers initialization method for clustering categorical data

Jiye Liang, Liang Bai, Chuangyin Dang, 2012, Expert Syst. Appl..

A heuristic method to attribute reduction for concept lattice

Jiye Liang, Yuhua Qian, Junhong Wang, 2010, 2010 International Conference on Machine Learning and Cybernetics.

Closed-Label Concept Lattice Based Rule Extraction Approach

Jiye Liang, Yuhua Qian, Junhong Wang, 2011, ICIC.

Information fusion in rough set theory : An overview

Wei Wei, Jiye Liang, Jiye Liang, 2019, Inf. Fusion.

Combining attribute content and label information for categorical data ensemble clustering

Jiye Liang, Xingwang Zhao, Fuyuan Cao, 2020, Appl. Math. Comput..

Determining decision makers’ weights in group ranking: a granular computing method

Baoli Wang, Jiye Liang, Yuhua Qian, 2015, Int. J. Mach. Learn. Cybern..

A Seed Expansion Graph Clustering Method for Protein Complexes Detection in Protein Interaction Networks

Jie Wang, Jiye Liang, Yuhua Qian, 2017, Molecules.

Research on Rough Set Theory and Applications in China

Qinghua Hu, Guoyin Wang, Wei-Zhi Wu, 2008, Trans. Rough Sets.

Local rough set: A solution to rough data analysis in big data

Andrzej Skowron, Yiyu Yao, Jiye Liang, 2018, Int. J. Approx. Reason..

Evaluation Method for Decision Rule Sets

Jiye Liang, Yuhua Qian, Jiye Liang, 2009, RSFDGrC.

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

Wei Wei, Jiye Liang, Yuhua Qian, 2009, RSKT.

A rule-extraction framework under multigranulation rough sets

Xin Liu, Jiye Liang, Yuhua Qian, 2014, Int. J. Mach. Learn. Cybern..

An initialization method for the K-Means algorithm using neighborhood model

Jiye Liang, Fuyuan Cao, Guang Jiang, 2009, Comput. Math. Appl..

An improved incremental nonlinear dimensionality reduction for isometric data embedding

Jiye Liang, Xiaofang Gao, 2015, Inf. Process. Lett..

Cooperative Hybrid Semi-Supervised Learning for Text Sentiment Classification

Xiaoli Li, Yang Li, Jiye Liang, 2019, Symmetry.

Variable precision multi-granulation rough set

Wei Wei, Jiye Liang, Yuhua Qian, 2012, 2012 IEEE International Conference on Granular Computing.

Multigranulation rough sets: From partition to covering

Jiye Liang, Yuhua Qian, Guoping Lin, 2013, Inf. Sci..

A new measure of uncertainty based on knowledge granulation for rough sets

Jiye Liang, Yuhua Qian, Junhong Wang, 2009, Inf. Sci..

Attribute reduction for dynamic data sets

Jiye Liang, Chuangyin Dang, Feng Wang, 2013, Appl. Soft Comput..

Methods and Practices of Three-Way Decisions for Complex Problem Solving

Yiyu Yao, Guoyin Wang, Jiye Liang, 2015, RSKT.

Bayesian Network Model for Learning Arithmetic Concepts

Jiye Liang, Yuhua Qian, Tong Jing, 2019 .

Cluster validity functions for categorical data: a solution-space perspective

Jiye Liang, Liang Bai, Liang Bai, 2015, Data Mining and Knowledge Discovery.

An Efficient Fuzzy-Rough Attribute Reduction Approach

Jiye Liang, Yuhua Qian, Chao Li, 2011, RSKT.

A weighting k-modes algorithm for subspace clustering of categorical data

Jiye Liang, Xingwang Zhao, Fuyuan Cao, 2013, Neurocomputing.

基于极端评分行为的相似度计算 (New Similarity Measure Based on Extremely Rating Behavior)

Jiye Liang, Peng Song, Zhiqiang Wang, 2020, 计算机科学.

Accelerating incremental attribute reduction algorithm by compacting a decision table

Wei Wei, Xiaoying Wu, Peng Song, 2018, Int. J. Mach. Learn. Cybern..

Discernibility matrix based incremental attribute reduction for dynamic data

Wei Wei, Xiaoying Wu, Jiye Liang, 2018, Knowl. Based Syst..

Rough set and rough classification based on imperfect information systems

Jiye Liang, Jiang Wang, 2002, Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527).

International Journal of Approximate Reasoning an Efficient Rough Feature Selection Algorithm with a Multi-granulation View

Jiye Liang, Yuhua Qian, Chuangyin Dang, 2022 .

Granulation operators on a knowledge base

Wei Wei, Jiye Liang, Yuhua Qian, 2008, 2008 IEEE International Conference on Granular Computing.

A data labeling method for clustering categorical data

Jiye Liang, Fuyuan Cao, 2011, Expert Syst. Appl..

The $K$-Means-Type Algorithms Versus Imbalanced Data Distributions

Jiye Liang, Liang Bai, Chuangyin Dang, 2012, IEEE Transactions on Fuzzy Systems.

Intuitionistic Fuzzy Rough Set-Based Granular Structures and Attribute Subset Selection

Wei-Zhi Wu, Jiye Liang, Yuhua Qian, 2019, IEEE Transactions on Fuzzy Systems.

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

Wei Wei, Jiye Liang, Yuhua Qian, 2013, Inf. Sci..

Decision-theoretic rough sets under dynamic granulation

Jiye Liang, Yuhua Qian, Yanli Sang, 2016, Knowl. Based Syst..

Grouping granular structures in human granulation intelligence

Witold Pedrycz, Jiye Liang, Yuhua Qian, 2017, Inf. Sci..

Partial ordering of information granulations: a further investigation

Wei-Zhi Wu, Jiye Liang, Yuhua Qian, 2010, Expert Syst. J. Knowl. Eng..

A Novel Intelligent Multi-attribute Three-Way Group Sorting Method Based on Dempster-Shafer Theory

Baoli Wang, Jiye Liang, Jiye Liang, 2014, RSKT.

Distance: A more comprehensible perspective for measures in rough set theory

Jiye Liang, Yuhua Qian, Ru Li, 2012, Knowl. Based Syst..

MGRS in Incomplete Information Systems

Jiye Liang, Yuhua Qian, Chuangyin Dang, 2007, 2007 IEEE International Conference on Granular Computing (GRC 2007).

Fast density clustering strategies based on the k-means algorithm

Yike Guo, Jiye Liang, Liang Bai, 2017, Pattern Recognit..

Adaptation Approaches in Unsupervised Learning: A Survey of the State-of-the-Art and Future Directions

Fakhri Karray, Jiye Liang, Junhong Wang, 2016, ICIAR.

Fast graph clustering with a new description model for community detection

Yike Guo, Jiye Liang, Liang Bai, 2017, Inf. Sci..

Exploiting user-to-user topic inclusion degree for link prediction in social-information networks

Jiye Liang, Zhiqiang Wang, Ru Li, 2018, Expert Syst. Appl..

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

Wei Wei, Jiye Liang, Yuhua Qian, 2010, Int. J. Gen. Syst..

An Information-Theoretical Framework for Cluster Ensemble

Yike Guo, Jiye Liang, Liang Bai, 2019, IEEE Transactions on Knowledge and Data Engineering.

On the evaluation of the decision performance of an incomplete decision table

Jiye Liang, Yuhua Qian, Chuangyin Dang, 2008, Data Knowl. Eng..

MGRS: A multi-granulation rough set

Yiyu Yao, Jiye Liang, Yuhua Qian, 2010, Inf. Sci..

Converse approximation and rule extraction from decision tables in rough set theory

Jiye Liang, Yuhua Qian, Chuangyin Dang, 2008, Comput. Math. Appl..

A fusion probability matrix factorization framework for link prediction

Jiye Liang, Zhiqiang Wang, Ru Li, 2018, Knowl. Based Syst..

Interval ordered information systems

Jiye Liang, Yuhua Qian, Chuangyin Dang, 2008, Comput. Math. Appl..

Multi-granularity three-way decisions with adjustable hesitant fuzzy linguistic multigranulation decision-theoretic rough sets over two universes

Jiye Liang, Deyu Li, Chao Zhang, 2020, Inf. Sci..

Axiomatic Approach of Knowledge Granulation in Information System

Jiye Liang, Yuhua Qian, Jiye Liang, 2006, Australian Conference on Artificial Intelligence.

A Framework for Clustering Categorical Time-Evolving Data

Jiye Liang, Liang Bai, Xingwang Zhao, 2010, IEEE Transactions on Fuzzy Systems.

Ieee Transactions on Knowledge and Data Engineering 1 a Group Incremental Approach to Feature Selection Applying Rough Set Technique

Jiye Liang, Yuhua Qian, Chuangyin Dang, 2022 .

3 Pessimistic rough set based decisions: A multigranulation

Jiye Liang, Yuhua Qian, Zhongzhi Shi, 2014 .

An efficient accelerator for attribute reduction from incomplete data in rough set framework

Witold Pedrycz, Jiye Liang, Yuhua Qian, 2011, Pattern Recognit..

A fuzzy SV-k-modes algorithm for clustering categorical data with set-valued attributes

Jiye Liang, Joshua Zhexue Huang, Fuyuan Cao, 2017, Appl. Math. Comput..

A simple and effective outlier detection algorithm for categorical data

Jiye Liang, Xingwang Zhao, Fuyuan Cao, 2014, Int. J. Mach. Learn. Cybern..

The impact of cluster representatives on the convergence of the K-modes type clustering

Jiye Liang, Liang Bai, Chuangyin Dang, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A deterministic annealing algorithm for approximating a solution of the min-bisection problem

Jiye Liang, Chuangyin Dang, Wei Ma, 2009, Neural Networks.

An Optimization Model for Clustering Categorical Data Streams with Drifting Concepts

Jiye Liang, Liang Bai, Xueqi Cheng, 2016, IEEE Transactions on Knowledge and Data Engineering.

Review on hierarchical learning methods for large-scale classification task

Qinghua Hu, Jiye Liang, Yuhua Qian, 2018 .

Trend analysis of categorical data streams with a concept change method

Jiye Liang, Joshua Zhexue Huang, Fuyuan Cao, 2014, Inf. Sci..

A New Method for Measuring the Uncertainty in Incomplete Information Systems

Jiye Liang, Yuhua Qian, Feng Wang, 2009, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Consistency measure, inclusion degree and fuzzy measure in decision tables

Jiye Liang, Yuhua Qian, Chuangyin Dang, 2008, Fuzzy Sets Syst..

The Information Entropy, Rough Entropy And Knowledge Granulation In Rough Set Theory

Jiye Liang, Zhongzhi Shi, Zhongzhi Shi, 2004, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Protein complex detection algorithm based on multiple topological characteristics in PPI networks

Jiye Liang, Xingwang Zhao, Jie Wang, 2019, Inf. Sci..

An Algorithm for Clustering Categorical Data With Set-Valued Features

Jiye Liang, Yuhua Qian, Joshua Zhexue Huang, 2018, IEEE Transactions on Neural Networks and Learning Systems.

An attribute reduction approach and its accelerated version for hybrid data

Wei Wei, Jiye Liang, Yuhua Qian, 2009, 2009 8th IEEE International Conference on Cognitive Informatics.

Change mechanism of a decision table’s decision performance caused by attribute reductions

Wei Wei, Jiye Liang, Yuhua Qian, 2008, 2008 IEEE International Conference on Granular Computing.

Contact Network Model with Covert Infection

Jiye Liang, Xiaomei Yang, Jianchao Zeng, 2013, ICSI.

Hesitant fuzzy linguistic rough set over two universes model and its applications

Jiye Liang, Chao Zhang, Deyu Li, 2018, Int. J. Mach. Learn. Cybern..

A sequential ensemble clusterings generation algorithm for mixed data

Jiye Liang, Xingwang Zhao, Fuyuan Cao, 2018, Appl. Math. Comput..

The Algorithm on Knowledge Reduction in Incomplete Information Systems

Jiye Liang, Zongben Xu, Zongben Xu, 2002, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Hierarchical division clustering framework for categorical data

Wei Wei, Peng Song, Jiye Liang, 2019, Neurocomputing.

Multi-view data ensemble clustering: a cluster-level perspective

Jiye Liang, Xingwang Zhao, Qianyu Shi, 2018 .

Fusing Monotonic Decision Trees

Jiye Liang, Yuhua Qian, Bing Liu, 2015, IEEE Transactions on Knowledge and Data Engineering.

Study of decision implications based on formal concept analysis

Min Chen, Jiye Liang, Yanhui Zhai, 2007, Int. J. Gen. Syst..

Topological approach to multigranulation rough sets

Jiye Liang, Yuhua Qian, Guoping Lin, 2014, Int. J. Mach. Learn. Cybern..

Rough Set Approximation Based on Dynamic Granulation

Jiye Liang, Yuhua Qian, Deyu Li, 2005, RSFDGrC.

Uncertainty and Feature Selection in Rough Set Theory

Jiye Liang, Jiye Liang, 2011, RSKT.

Comparison study of orthonormal representations of functional data in classification

Jiye Liang, Yuhua Qian, Yinfeng Meng, 2016, Knowl. Based Syst..

Feature selection for large-scale data sets in GrC

Jiye Liang, Jiye Liang, 2012, 2012 IEEE International Conference on Granular Computing.

Decision-relative discernibility matrices in the sense of entropies

Wei Wei, Jiye Liang, Yuhua Qian, 2013, Int. J. Gen. Syst..

Clustering ensemble selection for categorical data based on internal validity indices

Jiye Liang, Xingwang Zhao, Chuangyin Dang, 2017, Pattern Recognit..

An efficient feature selection algorithm for hybrid data

Jiye Liang, Feng Wang, Jiye Liang, 2016, Neurocomputing.

A method of knowledge acquisition based on the discernibility in imperfect information system

Jiye Liang, Jifang Pang, Jiahua Liang, 2007, 2007 IEEE International Conference on Grey Systems and Intelligent Services.

Fuzzy-rough feature selection accelerator

Jiye Liang, Yuhua Qian, Qi Wang, 2015, Fuzzy Sets Syst..

Rough Set Data Analysis Algorithms for Incomplete Information Systems

Jiye Liang, Chuangyin Dang, K. S. Chin, 2003, RSFDGrC.

A new method for measuring uncertainty and fuzziness in rough set theory

Jiye Liang, Chuangyin Dang, Kwai-Sang Chin, 2002, Int. J. Gen. Syst..

Multigranulation information fusion: A dempster-shafer evidence theory based clustering ensemble method

Jiye Liang, Yuhua Qian, Feijiang Li, 2015, 2015 International Conference on Machine Learning and Cybernetics (ICMLC).

Fast global k-means clustering based on local geometrical information

Jiye Liang, Liang Bai, Chuangyin Dang, 2013, Inf. Sci..

An accelerator for support vector machines based on the local geometrical information and data partition

Jiye Liang, Feng Wang, Yunsheng Song, 2019, Int. J. Mach. Learn. Cybern..

A stratified sampling based clustering algorithm for large-scale data

Jiye Liang, Xingwang Zhao, Chuangyin Dang, 2019, Knowl. Based Syst..

A novel fuzzy clustering algorithm with between-cluster information for categorical data

Jiye Liang, Liang Bai, Chuangyin Dang, 2013, Fuzzy Sets Syst..

Consistency-preserving attribute reduction in fuzzy rough set framework

Wei Wei, Jiye Liang, Yuhua Qian, 2013, Int. J. Mach. Learn. Cybern..

International Journal of Approximate Reasoning Multigranulation Decision-theoretic Rough Sets

Jiye Liang, Yuhua Qian, Hu Zhang, 2022 .

Compacted decision tables based attribute reduction

Jiye Liang, Wei Wei, Chuangyin Dang, 2015, Knowl. Based Syst..

Information Granularity and Granular Structure in Decision Making

Baoli Wang, Jiye Liang, Yuhua Qian, 2012, RSKT.

Fuzzy rough approximations for set-valued data

Wei Wei, Jiye Liang, Junhong Wang, 2016, Inf. Sci..

A two-grade approach to ranking interval data

Peng Song, Jiye Liang, Yuhua Qian, 2012, Knowl. Based Syst..

Attribute reduction: A dimension incremental strategy

Jiye Liang, Yuhua Qian, Feng Wang, 2013, Knowl. Based Syst..

Rule Extraction and Rule Evaluation Based on Granular Computing

Jiye Liang, Yuhua Qian, Deyu Li, 2010 .

An initialization method to simultaneously find initial cluster centers and the number of clusters for clustering categorical data

Jiye Liang, Liang Bai, Chuangyin Dang, 2011, Knowl. Based Syst..

An Ensemble Clusterer of Multiple Fuzzy $k$ -Means Clusterings to Recognize Arbitrarily Shaped Clusters

Yike Guo, Jiye Liang, Liang Bai, 2018, IEEE Transactions on Fuzzy Systems.

Multi-attribute group decision-making method based on multi-granulation weights and three-way decisions

Baoli Wang, Jiye Liang, Jifang Pang, 2020, Int. J. Approx. Reason..

Determining the number of clusters using information entropy for mixed data

Jiye Liang, Xingwang Zhao, Chuangyin Dang, 2012, Pattern Recognit..

Information granules and entropy theory in information systems

Jiye Liang, Yuhua Qian, Jiye Liang, 2008, Science in China Series F: Information Sciences.

Evaluation of the results of multi-attribute group decision-making with linguistic information

Jiye Liang, Jifang Pang, Jiye Liang, 2012 .

APPLICATIONS OF INCLUSION DEGREE IN ROUGH SET THEORY

Zhongzhi Shi, Jiye Liang, Deyu Li, 2002 .

Local Bayes Risk Minimization Based Stopping Strategy for Hierarchical Classification

Qinghua Hu, Jiye Liang, Yuhua Qian, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

A fuzzy multigranulation decision-theoretic approach to multi-source fuzzy information systems

Jiye Liang, Yuhua Qian, Guoping Lin, 2016, Knowl. Based Syst..

Jiye Liang, Xingwang Zhao, Lanjie Guo, 2018, 计算机科学.

Decision-Oriented Rough Set Methods

Jiye Liang, Jiye Liang, 2015, RSFDGrC.

A new initialization method for categorical data clustering

Jiye Liang, Liang Bai, Fuyuan Cao, 2009, Expert Syst. Appl..

Local multigranulation decision-theoretic rough sets

Jiye Liang, Yuhua Qian, Qian Guo, 2017, Int. J. Approx. Reason..

Inclusion degree: a perspective on measures for rough set data analysis

Jiye Liang, Zongben Xu, Chuangyin Dang, 2002, Inf. Sci..

Consistency and Fuzziness in Ordered Decision Tables

Wei Wei, Jiye Liang, Yuhua Qian, 2008, RSKT.

Incomplete Multigranulation Rough Set

Jiye Liang, Yuhua Qian, Chuangyin Dang, 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

A new distance with derivative information for functional k-means clustering algorithm

Jiye Liang, Fuyuan Cao, Yijun He, 2018, Inf. Sci..

Set-valued ordered information systems

Jiye Liang, Yuhua Qian, Chuangyin Dang, 2009, Inf. Sci..

A novel edge rewiring strategy for tuning structural properties in networks

Jiye Liang, Jie Wang, Wenping Zheng, 2019, Knowl. Based Syst..

An efficient instance selection algorithm for k nearest neighbor regression

Jiye Liang, Xingwang Zhao, Jing Lu, 2017, Neurocomputing.

A Measure Method for Indiscernibility in Imperfect Information System

Jiye Liang, Jifang Pang, Jiye Liang, 2006, JCIS.

Fuzziness-Preserving Attribute Reduction from Hybrid Data

Wei Wei, Jiye Liang, Yuhua Qian, 2012, IScIDE.

Information Granularity in Fuzzy Binary GrC Model

Jiye Liang, Yuhua Qian, Chuangyin Dang, 2011, IEEE Transactions on Fuzzy Systems.

Measures for evaluating the decision performance of a decision table in rough set theory

Jiye Liang, Yuhua Qian, Chuangyin Dang, 2008, Inf. Sci..

On Partial Order Relations in Granular Computing

Jiye Liang, Yuhua Qian, Wei Wei, 2010, 2010 IEEE International Conference on Granular Computing.

基于类别随机化的随机森林算法 (Randomization of Classes Based Random Forest Algorithm)

Jiye Liang, Jifang Pang, Xiaoqiang Guan, 2019, 计算机科学.

A multi-view OVA model based on decision tree for multi-classification tasks

Jiye Liang, Yuhua Qian, Jifang Pang, 2017, Knowl. Based Syst..

Combination Entropy and Combination Granulation in Rough Set Theory

Jiye Liang, Yuhua Qian, Jiye Liang, 2008, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

A novel attribute weighting algorithm for clustering high-dimensional categorical data

Jiye Liang, Liang Bai, Chuangyin Dang, 2011, Pattern Recognit..

Combination Entropy and Combination Granulation in Incomplete Information System

Jiye Liang, Yuhua Qian, Jiye Liang, 2006, RSKT.

A comparative study of rough sets for hybrid data

Wei Wei, Jiye Liang, Yuhua Qian, 2012, Inf. Sci..

An information fusion approach by combining multigranulation rough sets and evidence theory

Jiye Liang, Yuhua Qian, Guoping Lin, 2015, Inf. Sci..

An Ensemble Classification Algorithm Based on Information Entropy for Data Streams

Jiye Liang, Junhong Wang, Caifeng Liu, 2017, Neural Processing Letters.

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

Jiye Liang, Wei Wei, Feng Wang, 2013, Knowl. Based Syst..

A Normalized Numerical Scaling Method for the Unbalanced Multi-Granular Linguistic Sets

Baoli Wang, Jiye Liang, Yuhua Qian, 2015, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

A cautious ranking methodology with its application for stock screening

Wei Wei, Peng Song, Jiye Liang, 2018, Appl. Soft Comput..

Uncertainty Measures for Multigranulation Approximation Space

Jiye Liang, Yuhua Qian, Guoping Lin, 2015, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Positive approximation: An accelerator for attribute reduction in rough set theory

Witold Pedrycz, Jiye Liang, Yuhua Qian, 2010, Artif. Intell..

一种基于抽样的大规模混合数据聚类集成算法 (Clustering Ensemble Algorithm for Large-scale Mixed Data Based on Sampling)

Jiye Liang, Tianjie Pang, 2016, 计算机科学.

Information entropy, rough entropy and knowledge granulation in incomplete information systems

Jiye Liang, Mark J. Wierman, Deyu Li, 2006, Int. J. Gen. Syst..

Uncertainty Measure of Rough Sets Based on a Knowledge Granulation for Incomplete Information Systems

Jiye Liang, Yuhua Qian, Chuangyin Dang, 2008, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Set-based granular computing: A lattice model

Qinghua Hu, Jiye Liang, Yuhua Qian, 2014, Int. J. Approx. Reason..

Local neighborhood rough set

Jiye Liang, Yuhua Qian, Qi Wang, 2018, Knowl. Based Syst..

Apply Inversion Order Number Genetic Algorithm to the Job Shop Scheduling Problem

Jiye Liang, Xiaomei Yang, Jianchao Zeng, 2009, 2009 Third International Conference on Genetic and Evolutionary Computing.

Local dense mixed region cutting + global rebalancing: a method for imbalanced text sentiment classification

Yang Li, Jiye Liang, Suge Wang, 2018, Int. J. Mach. Learn. Cybern..

Accelerating ReliefF using information granulation

Jiye Liang, Wei Wei, Da Wang, 2021, International Journal of Machine Learning and Cybernetics.

Fuzzy rough discrimination and label weighting for multi-label feature selection

Jiye Liang, Anhui Tan, Jia Zhang, 2021, Neurocomputing.

A Unified Sample Selection Framework for Output Noise Filtering: An Error-Bound Perspective

Jiye Liang, Yuhua Qian, Wenjian Wang, 2021, J. Mach. Learn. Res..

Metric learning with clustering-based constraints

Jiye Liang, Chuangyin Dang, Jianqing Liang, 2021, Int. J. Mach. Learn. Cybern..

Graph convolutional autoencoders with co-learning of graph structure and node attributes

Jiye Liang, Dianhui Wang, Jianqing Liang, 2022, Pattern Recognit..

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

Jiye Liang, Junbiao Cui, Wei Wei, 2021, Machine Learning.

BIC-based node order learning for improving Bayesian network structure learning

Jiye Liang, Yuhua Qian, Yali Lv, 2021, Frontiers of Computer Science.

Deep neural network compression through interpretability-based filter pruning

Yee Leung, Jiye Liang, Feilong Cao, 2021, Pattern Recognit..

Semi-supervised learning with mixed-order graph convolutional networks

Jiye Liang, Jianqing Liang, Jie Wang, 2021, Inf. Sci..

An outlier detection algorithm for categorical matrix-object data

Jiye Liang, Fuyuan Cao, Xiaolin Wu, 2021, Appl. Soft Comput..

Rough set approach under dynamic granulation in incomplete information systems

Jiye Liang, Yuhua Qian, Chuangyin Dang, 2007 .

Positive Approximation and Rule Extracting in Incomplete Information Systems

Jiye Liang, Yuhua Qian, Jiye Liang, 2007 .

Knowledge distance in information systems

Jiye Liang, Yuhua Qian, Chuangyin Dang, 2007 .