Heng-Ru Zhang

43 papers B 3Misc 3Journal 31Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
FedAspect-GNN: Integrating aspect-level sentiment analysis and graph neural networks for federated recommendation.
Expert Syst. Appl.
Bao-Tong Wu, Yuanyuan Xu, Heng-Ru Zhang, Fan Min
2026 J jnl
Neural recommendation by user-item-user and item-user-item relation modeling.
Pattern Recognit.
Yuanyuan Xu, Hui Xiao, Heng-Ru Zhang, Dan-Dong Wang, Kun Wang, Fan Min
2025 J jnl
A Seagull Loss Function With Application to Recommender Systems.
IEEE Trans. Comput. Soc. Syst.
Yuanyuan Xu, Hui Xiao, Heng-Ru Zhang, Xi-Zhao Wang, Hong Yu, Fan Min
2025 J jnl
Aspect-level recommendation fused with review and rating representations.
Data Knowl. Eng.
Heng-Ru Zhang, Ling Lin, Fan Min
2025 J jnl
Classification-wise and cluster-wise contrastive learning for graph neural recommendation.
Appl. Soft Comput.
Heng-Ru Zhang, Xin-Yu Liu, Yuanyuan Xu, Yi-Fan Yu, Fan Min
2025 J jnl
DUPS: Data poisoning attacks with uncertain sample selection for federated learning.
Comput. Networks
Heng-Ru Zhang, Ke-Xiong Wang, Xiang-Yu Liang, Yi-Fan Yu
2025 J jnl
Frequency-domain augmentation and multi-scale feature alignment for improving transferability of adversarial examples.
Comput. Networks
Gui-Hong Li, Heng-Ru Zhang, Fan Min
2025 J jnl
LIP-MC: Multi-Constraint Label Independent Prediction in label distribution learning.
Eng. Appl. Artif. Intell.
Gui-Lin Li, Ruili Wu, Xiaorui Qian, Qiang Zhu, Heng-Ru Zhang
2025 J jnl
Learning cluster-wise label distribution for label enhancement.
Int. J. Mach. Learn. Cybern.
Jun Fan, Heng-Ru Zhang, Fan Min
2025 J jnl
SWIM: Sliding-Window Model contrast for federated learning.
Future Gener. Comput. Syst.
Heng-Ru Zhang, Rui Chen, Shi-Huai Wen, Xiao-Qiang Bian
2024 J jnl
Exploiting asymmetric influence between instances for label enhancement.
Inf. Sci.
Heng-Ru Zhang, Peng-Cheng Li, Yuanyuan Xu, Fan Min
2024 J jnl
IUG-CF: Neural collaborative filtering with ideal user group labels.
Expert Syst. Appl.
Zi-Feng Peng, Heng-Ru Zhang, Fan Min
2024 J jnl
Matrix factorization with a sigmoid-like loss control.
Neurocomputing
Yuanyuan Xu, Hui Xiao, Heng-Ru Zhang, Wei-Zhi Wu, Fan Min
2024 J jnl
Multi-Granularity Abnormal Traffic Detection Based on Multi-Instance Learning.
IEEE Trans. Netw. Serv. Manag.
Xin Jiang, Heng-Ru Zhang, Yao Zhou
2024 J jnl
Robust federated learning with voting and scaling.
Future Gener. Comput. Syst.
Xiang-Yu Liang, Heng-Ru Zhang, Wei Tang, Fan Min
2023 J jnl
Behavior imitation of individual board game players.
Appl. Intell.
Chao-Fan Pan, Xue-Yang Min, Heng-Ru Zhang, Guojie Song, Fan Min
2023 J jnl
Enhancing Text Classification by Graph Neural Networks With Multi-Granular Topic-Aware Graph.
IEEE Access
Yongchun Gu, Yi Wang, Heng-Ru Zhang, Jiao Wu, Xingquan Gu
2023 — conf
Label Distribution Learning with Discriminative Instance Mapping.
PAKDD (1)
Heng-Ru Zhang, Run-Ting Bai, Wen-Tao Tang
2023 J jnl
Label-dependent feature exploration for label distribution learning.
Int. J. Mach. Learn. Cybern.
Run-Ting Bai, Heng-Ru Zhang, Fan Min
2023 J jnl
Lower bound estimation of recommendation error through user uncertainty modeling.
Pattern Recognit.
Heng-Ru Zhang, Ying Qiu, Ke-Lin Zhu, Fan Min
2023 B conf
Sample Topology Exploration for Label Distribution Learning.
DSAA
Yan-Wen Xiong, Heng-Ru Zhang, Fan Min, Peng-Cheng Li
2023 J jnl
Two-stage label distribution learning with label-independent prediction based on label-specific features.
Knowl. Based Syst.
Gui-Lin Li, Heng-Ru Zhang, Fan Min, Yunan Lu
2022 J jnl
A Mixture-of-Gaussians model for estimating the magic barrier of the recommender system.
Appl. Soft Comput.
Heng-Ru Zhang, Jie Qian, Hui-Lin Qu, Fan Min
2022 B conf
BRL: Learning behavior representations of Reversi players.
DSAA
Chao-Fan Pan, Fan Min, Heng-Ru Zhang, Yu Wang
2022 B conf
Label Distribution Learning with Data Augmentation using Generative Adversarial Networks.
DSAA
Bin-Yuan Rong, Heng-Ru Zhang, Gui-Lin Li, Fan Min
2021 — conf
Label Distribution Learning by Exploiting Feature-Label Correlations Locally.
ICBK
Gui-Lin Li, Heng-Ru Zhang, Yuanyuan Xu, Ya-Lan Lv, Fan Min
2020 J jnl
COS-LDL: Label Distribution Learning by Cosine-Based Distance-Mapping Correlation.
IEEE Access
Heng-Ru Zhang, Yu-Ting Huang, Yuanyuan Xu, Fan Min
2019 J jnl
An Adaptive Mechanism for Recommendation Algorithm Ensemble.
IEEE Access
Qi Huang, Yuanyuan Xu, Yong Chen, Heng-Ru Zhang, Fan Min
2019 — conf
CSLI: Cost-Sensitive Collaborative Filtering with Local Information Embedding.
IJCRS
Heng-Ru Zhang, Jie Qian, Fan Min
2019 J jnl
Efficient collaborative filtering recommendations with multi-channel feature vectors.
Int. J. Mach. Learn. Cybern.
Heng-Ru Zhang, Fan Min, Zhi-Heng Zhang, Song Wang
2019 J jnl
Sentiment based matrix factorization with reliability for recommendation.
Expert Syst. Appl.
Rong-Ping Shen, Heng-Ru Zhang, Hong Yu, Fan Min
2018 J jnl
Magic barrier estimation models for recommended systems under normal distribution.
Appl. Intell.
Heng-Ru Zhang, Fan Min, Yan-Xue Wu, Zhuo-Lin Fu, Lei Gao
2018 — conf
Recommendation with Generalized Logistic Transformation.
ICBK
Zhuo-Lin Fu, Fan Min, Heng-Ru Zhang
2018 J jnl
用户非对称信任关系的推荐算法 (Recommendation Algorithm Combining User's Asymmetric Trust Relationships).
计算机科学
Ziyin Zhang, Heng-Ru Zhang, Yuanyuan Xu, Qin Qin
2017 — conf
A Three-Way Recommender System for Popularity-Based Costs.
IJCRS (2)
Yuanyuan Xu, Heng-Ru Zhang, Fan Min
2017 J jnl
Regression-based three-way recommendation.
Inf. Sci.
Heng-Ru Zhang, Fan Min, Bing Shi
2016 J jnl
Discovering Patterns With Weak-Wildcard Gaps.
IEEE Access
Chaodong Tan, Fan Min, Min Wang, Heng-Ru Zhang, Zhi-Heng Zhang
2016 J jnl
Fast Recommendations With the M-Distance.
IEEE Access
Mei Zheng, Fan Min, Heng-Ru Zhang, Wen-Bin Chen
2016 Misc conf
Hybrid similarities for dynamic interaction recommendation.
ICMLC
Xin-Ling Dong, Shuang-Bo Sun, Fan Min, Heng-Ru Zhang
2016 J jnl
Three-way recommender systems based on random forests.
Knowl. Based Syst.
Heng-Ru Zhang, Fan Min
2015 — conf
A Teacher-Cost-Sensitive Decision-Theoretic Rough Set Model.
RSKT
Yu-Wan He, Heng-Ru Zhang, Fan Min
2015 Misc conf
Cost-sensitive regression-based recommender system.
ICMLC
Heng-Ru Zhang, Fan Min, Dominik Slezak, Bing Shi
2014 Misc conf
Interactive hybrid recommendation with granule selection.
GrC
Heng-Ru Zhang, Fan Min, Ben-Wen Zhang