Feng Jiang

Orcid: 0009-0001-6271-9526

Affiliations:
  • Qingdao University of Science and Technology, College of Information Science and Technology, China


According to our database1, Feng Jiang authored at least 43 papers between 2005 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
An ensemble method using neighborhood granular combination entropy for software defect prediction.
Inf. Process. Manag., 2026

Structure-attribute aligned graph neural network for recommendation.
Expert Syst. Appl., 2026

2025
Intent Propagation Contrastive Collaborative Filtering.
IEEE Trans. Knowl. Data Eng., May, 2025

A Cross-Domain Intrusion Detection Method Based on Nonlinear Augmented Explicit Features.
IEEE Trans. Netw. Serv. Manag., February, 2025

Improving bug triage with the bug personalized tossing relationship.
Inf. Softw. Technol., 2025

Multi-view constraint disentangled GAT for recommendation.
Neurocomputing, 2025

An Ensemble Learning Method Based on Neighborhood Granularity Discrimination Index and Its Application in Software Defect Prediction.
Proceedings of the IEEE International Conference on Software Analysis, 2025

2024
Intent Distribution based Bipartite Graph Representation Learning.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2023
Multi-Head Attention and Knowledge Graph Based Dual Target Graph Collaborative Filtering Network.
Neural Process. Lett., December, 2023

Prediction of bug-fixing time based on distinguishable sequences fusion in open source software.
J. Softw. Evol. Process., November, 2023

A Multi-behavior Recommendation Based on Disentangled Graph Convolutional Networks and Contrastive Learning.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

2022
A random approximate reduct-based ensemble learning approach and its application in software defect prediction.
Inf. Sci., 2022

A Multi-Head Attention Based Dual Target Graph Collaborative Filtering Network.
Proceedings of the IEEE Smartworld, 2022

Neighborhood Approximate Reducts-Based Ensemble Learning Algorithm and Its Application in Software Defect Prediction.
Proceedings of the Rough Sets - International Joint Conference, 2022

Initial Seeds Selection for K-means Clustering Based on Outlier Detection.
Proceedings of the ICSIM 2022: The 5th International Conference on Software Engineering and Information Management, Yokohama, Japan, January 21, 2022

An Under-sampling Algorithm Based on Weighted Complexity and Its Application in Software Defect Prediction.
Proceedings of the ICSIM 2022: The 5th International Conference on Software Engineering and Information Management, Yokohama, Japan, January 21, 2022

2021
Ensemble learning based on approximate reducts and bootstrap sampling.
Inf. Sci., 2021

A selective ensemble learning based two-sided cross-domain collaborative filtering algorithm.
Inf. Process. Manag., 2021

Ensemble learning based on random super-reduct and resampling.
Artif. Intell. Rev., 2021

Bug Triage Model Considering Cooperative and Sequential Relationship.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2021

2020
An FM Developer Recommendation Algorithm by Considering Explicit Information and ID Information.
Proceedings of the Web Services - ICWS 2020, 2020

2019
A cross-domain collaborative filtering algorithm with expanding user and item features via the latent factor space of auxiliary domains.
Pattern Recognit., 2019

Outlier detection based on approximation accuracy entropy.
Int. J. Mach. Learn. Cybern., 2019

2018
The Hierarchies of Multivalued Attribute Domains and Corresponding Applications in Data Mining.
Wirel. Commun. Mob. Comput., 2018

SVMs Classification Based Two-side Cross Domain Collaborative Filtering by inferring intrinsic user and item features.
Knowl. Based Syst., 2018

A Cross-Domain Collaborative Filtering Algorithm Based on Feature Construction and Locally Weighted Linear Regression.
Comput. Intell. Neurosci., 2018

2017
A User-Based Cross Domain Collaborative Filtering Algorithm Based on a Linear Decomposition Model.
IEEE Access, 2017

Cross Domain Collaborative Filtering by Integrating User Latent Vectors of Auxiliary Domains.
Proceedings of the Knowledge Science, Engineering and Management, 2017

2016
Initialization of K-modes clustering using outlier detection techniques.
Inf. Sci., 2016

2015
A relative decision entropy-based feature selection approach.
Pattern Recognit., 2015

A novel approach for discretization of continuous attributes in rough set theory.
Knowl. Based Syst., 2015

Outlier detection based on granular computing and rough set theory.
Appl. Intell., 2015

2013
Relational Operations and Uncertainty Measure in Rough Relational Database.
Fundam. Informaticae, 2013

An incremental decision tree algorithm based on rough sets and its application in intrusion detection.
Artif. Intell. Rev., 2013

2012
An Approximation Decision Entropy Based Decision Tree Algorithm and Its Application in Intrusion Detection.
Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

2011
A hybrid approach to outlier detection based on boundary region.
Pattern Recognit. Lett., 2011

A Rough Set Approach to Feature Selection Based on Relative Decision Entropy.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

A Rough Set Based Decision Tree Algorithm and Its Application in Intrusion Detection.
Proceedings of the Pattern Recognition and Machine Intelligence, 2011

2010
A Supervised and Multivariate Discretization Algorithm for Rough Sets.
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

2006
Rough Contexts and Rough-Valued Contexts.
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006

An Ontology-Based First-Order Modal Logic.
Proceedings of the Rough Sets and Current Trends in Computing, 2006

Outlier Detection Based on Rough Membership Function.
Proceedings of the Rough Sets and Current Trends in Computing, 2006

2005
Outlier Detection Using Rough Set Theory.
Proceedings of the Rough Sets, 2005


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