Heng-Ru Zhang

Orcid: 0000-0001-9187-9847

According to our database¹, Heng-Ru Zhang authored at least 35 papers between 2014 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Other

Bibliography

2025

SWIM: Sliding-Window Model contrast for federated learning.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2025

DUPS: Data poisoning attacks with uncertain sample selection for federated learning.

[BibT_eX]

[DOI]

Comput. Networks, 2025

2024

Multi-Granularity Abnormal Traffic Detection Based on Multi-Instance Learning.

[BibT_eX]

[DOI]

Xin Jiang

Heng-Ru Zhang

Yao Zhou

IEEE Trans. Netw. Serv. Manag., April, 2024

IUG-CF: Neural collaborative filtering with ideal user group labels.

[BibT_eX]

[DOI]

Zi-Feng Peng

Heng-Ru Zhang

Fan Min

Expert Syst. Appl., March, 2024

Exploiting asymmetric influence between instances for label enhancement.

[BibT_eX]

[DOI]

Inf. Sci., 2024

Matrix factorization with a sigmoid-like loss control.

[BibT_eX]

[DOI]

Neurocomputing, 2024

Robust federated learning with voting and scaling.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2024

2023

Label-dependent feature exploration for label distribution learning.

[BibT_eX]

[DOI]

Run-Ting Bai

Heng-Ru Zhang

Fan Min

Int. J. Mach. Learn. Cybern., November, 2023

Behavior imitation of individual board game players.

[BibT_eX]

[DOI]

Appl. Intell., May, 2023

Lower bound estimation of recommendation error through user uncertainty modeling.

[BibT_eX]

[DOI]

Pattern Recognit., April, 2023

Two-stage label distribution learning with label-independent prediction based on label-specific features.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

Enhancing Text Classification by Graph Neural Networks With Multi-Granular Topic-Aware Graph.

[BibT_eX]

[DOI]

IEEE Access, 2023

Label Distribution Learning with Discriminative Instance Mapping.

[BibT_eX]

[DOI]

Heng-Ru Zhang

Run-Ting Bai

Wen-Tao Tang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Sample Topology Exploration for Label Distribution Learning.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022

A Mixture-of-Gaussians model for estimating the magic barrier of the recommender system.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2022

Label Distribution Learning with Data Augmentation using Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

BRL: Learning behavior representations of Reversi players.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2021

Label Distribution Learning by Exploiting Feature-Label Correlations Locally.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

2020

COS-LDL: Label Distribution Learning by Cosine-Based Distance-Mapping Correlation.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

Efficient collaborative filtering recommendations with multi-channel feature vectors.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2019

Sentiment based matrix factorization with reliability for recommendation.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2019

An Adaptive Mechanism for Recommendation Algorithm Ensemble.

[BibT_eX]

[DOI]

IEEE Access, 2019

CSLI: Cost-Sensitive Collaborative Filtering with Local Information Embedding.

[BibT_eX]

[DOI]

Heng-Ru Zhang

Jie Qian

Fan Min

Proceedings of the Rough Sets - International Joint Conference, 2019

2018

用户非对称信任关系的推荐算法 (Recommendation Algorithm Combining User's Asymmetric Trust Relationships).

[BibT_eX]

[DOI]

计算机科学, 2018

Magic barrier estimation models for recommended systems under normal distribution.

[BibT_eX]

[DOI]

Appl. Intell., 2018

Recommendation with Generalized Logistic Transformation.

[BibT_eX]

[DOI]

Zhuo-Lin Fu

Fan Min

Heng-Ru Zhang

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

2017

Regression-based three-way recommendation.

[BibT_eX]

[DOI]

Heng-Ru Zhang

Fan Min

Bing Shi

Inf. Sci., 2017

A Three-Way Recommender System for Popularity-Based Costs.

[BibT_eX]

[DOI]

Yuanyuan Xu

Heng-Ru Zhang

Fan Min

Proceedings of the Rough Sets - International Joint Conference, 2017

2016

Three-way recommender systems based on random forests.

[BibT_eX]

[DOI]

Heng-Ru Zhang

Fan Min

Knowl. Based Syst., 2016

Fast Recommendations With the M-Distance.

[BibT_eX]

[DOI]

IEEE Access, 2016

Discovering Patterns With Weak-Wildcard Gaps.

[BibT_eX]

[DOI]

IEEE Access, 2016

Hybrid similarities for dynamic interaction recommendation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

2015

A Teacher-Cost-Sensitive Decision-Theoretic Rough Set Model.

[BibT_eX]

[DOI]

Yu-Wan He

Heng-Ru Zhang

Fan Min

Proceedings of the Rough Sets and Knowledge Technology - 10th International Conference, 2015

Cost-sensitive regression-based recommender system.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

2014

Interactive hybrid recommendation with granule selection.

[BibT_eX]

[DOI]

Heng-Ru Zhang

Fan Min

Ben-Wen Zhang

Proceedings of the 2014 IEEE International Conference on Granular Computing, 2014

Heng-Ru Zhang

Timeline

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