Interactive hybrid recommendation with granule selection. - Heng-Ru Zhang; Fan Min 001; Ben-Wen Zhang (GrC, 2014)

Cost-sensitive regression-based recommender system. - Heng-Ru Zhang; Fan Min 001; Dominik Slezak; Bing Shi (ICMLC, 2015)

A Teacher-Cost-Sensitive Decision-Theoretic Rough Set Model. - Yu-Wan He; Heng-Ru Zhang; Fan Min 001 (RSKT, 2015)

Hybrid similarities for dynamic interaction recommendation. - Xin-Ling Dong; Shuang-Bo Sun; Fan Min 001; Heng-Ru Zhang (ICMLC, 2016)

Discovering Patterns With Weak-Wildcard Gaps. - Chaodong Tan; Fan Min 001; Min Wang 031; Heng-Ru Zhang; Zhi-Heng Zhang (IEEE Access, 2016)

Fast Recommendations With the M-Distance. - Mei Zheng; Fan Min 001; Heng-Ru Zhang; Wen-Bin Chen (IEEE Access, 2016)

Three-way recommender systems based on random forests. - Heng-Ru Zhang; Fan Min 001 (Knowl. Based Syst., 2016)

A Three-Way Recommender System for Popularity-Based Costs. - Yuanyuan Xu 003; Heng-Ru Zhang; Fan Min 001 (IJCRS (2), 2017)

Regression-based three-way recommendation. - Heng-Ru Zhang; Fan Min 001; Bing Shi (Inf. Sci., 2017)

Recommendation with Generalized Logistic Transformation. - Zhuo-Lin Fu; Fan Min 001; Heng-Ru Zhang (ICBK, 2018)

Magic barrier estimation models for recommended systems under normal distribution. - Heng-Ru Zhang; Fan Min 001; Yan-Xue Wu; Zhuo-Lin Fu; Lei Gao (Appl. Intell., 2018)

用户非对称信任关系的推荐算法 (Recommendation Algorithm Combining User's Asymmetric Trust Relationships). - Ziyin Zhang; Heng-Ru Zhang; Yuanyuan Xu 003; Qin Qin (计算机科学, 2018)

CSLI: Cost-Sensitive Collaborative Filtering with Local Information Embedding. - Heng-Ru Zhang; Jie Qian; Fan Min 001 (IJCRS, 2019)

An Adaptive Mechanism for Recommendation Algorithm Ensemble. - Qi Huang; Yuanyuan Xu 003; Yong Chen; Heng-Ru Zhang; Fan Min 001 (IEEE Access, 2019)

Sentiment based matrix factorization with reliability for recommendation. - Rong-Ping Shen; Heng-Ru Zhang; Hong Yu 007; Fan Min 001 (Expert Syst. Appl., 2019)

Efficient collaborative filtering recommendations with multi-channel feature vectors. - Heng-Ru Zhang; Fan Min 001; Zhi-Heng Zhang; Song Wang (Int. J. Mach. Learn. Cybern., 2019)

COS-LDL: Label Distribution Learning by Cosine-Based Distance-Mapping Correlation. - Heng-Ru Zhang; Yu-Ting Huang; Yuanyuan Xu 003; Fan Min 001 (IEEE Access, 2020)

Label Distribution Learning by Exploiting Feature-Label Correlations Locally. - Gui-Lin Li; Heng-Ru Zhang; Yuanyuan Xu 003; Ya-Lan Lv; Fan Min 001 (ICBK, 2021)

BRL: Learning behavior representations of Reversi players. - Chao-Fan Pan; Fan Min 001; Heng-Ru Zhang; Yu Wang (DSAA, 2022)

Label Distribution Learning with Data Augmentation using Generative Adversarial Networks. - Bin-Yuan Rong; Heng-Ru Zhang; Gui-Lin Li; Fan Min 001 (DSAA, 2022)

A Mixture-of-Gaussians model for estimating the magic barrier of the recommender system. - Heng-Ru Zhang; Jie Qian; Hui-Lin Qu; Fan Min 001 (Appl. Soft Comput., 2022)

Sample Topology Exploration for Label Distribution Learning. - Yan-Wen Xiong; Heng-Ru Zhang; Fan Min 001; Peng-Cheng Li (DSAA, 2023)

Label Distribution Learning with Discriminative Instance Mapping. - Heng-Ru Zhang; Run-Ting Bai; Wen-Tao Tang (PAKDD (1), 2023)

Enhancing Text Classification by Graph Neural Networks With Multi-Granular Topic-Aware Graph. - Yongchun Gu; Yi Wang; Heng-Ru Zhang; Jiao Wu; Xingquan Gu (IEEE Access, 2023)

Two-stage label distribution learning with label-independent prediction based on label-specific features. - Gui-Lin Li; Heng-Ru Zhang; Fan Min 001; Yunan Lu 002 (Knowl. Based Syst., 2023)

Lower bound estimation of recommendation error through user uncertainty modeling. - Heng-Ru Zhang; Ying Qiu; Ke-Lin Zhu; Fan Min 001 (Pattern Recognit., 2023)

Behavior imitation of individual board game players. - Chao-Fan Pan; Xue-Yang Min; Heng-Ru Zhang; Guojie Song; Fan Min 001 (Appl. Intell., 2023)

Label-dependent feature exploration for label distribution learning. - Run-Ting Bai; Heng-Ru Zhang; Fan Min 001 (Int. J. Mach. Learn. Cybern., 2023)

Robust federated learning with voting and scaling. - Xiang-Yu Liang; Heng-Ru Zhang; Wei Tang; Fan Min 001 (Future Gener. Comput. Syst., 2024)

Matrix factorization with a sigmoid-like loss control. - Yuanyuan Xu 003; Hui Xiao; Heng-Ru Zhang; Wei-Zhi Wu 001; Fan Min 001 (Neurocomputing, 2024)

Exploiting asymmetric influence between instances for label enhancement. - Heng-Ru Zhang; Peng-Cheng Li; Yuanyuan Xu 003; Fan Min 001 (Inf. Sci., 2024)

IUG-CF: Neural collaborative filtering with ideal user group labels. - Zi-Feng Peng; Heng-Ru Zhang; Fan Min 001 (Expert Syst. Appl., 2024)

Multi-Granularity Abnormal Traffic Detection Based on Multi-Instance Learning. - Xin Jiang; Heng-Ru Zhang; Yao Zhou (IEEE Trans. Netw. Serv. Manag., 2024)

Frequency-domain augmentation and multi-scale feature alignment for improving transferability of adversarial examples. - Gui-Hong Li; Heng-Ru Zhang; Fan Min 001 (Comput. Networks, 2025)

DUPS: Data poisoning attacks with uncertain sample selection for federated learning. - Heng-Ru Zhang; Ke-Xiong Wang; Xiang-Yu Liang; Yi-Fan Yu (Comput. Networks, 2025)

Aspect-level recommendation fused with review and rating representations. - Heng-Ru Zhang; Ling Lin; Fan Min 001 (Data Knowl. Eng., 2025)

SWIM: Sliding-Window Model contrast for federated learning. - Heng-Ru Zhang; Rui Chen; Shi-Huai Wen; Xiao-Qiang Bian (Future Gener. Comput. Syst., 2025)

Learning cluster-wise label distribution for label enhancement. - Jun Fan; Heng-Ru Zhang; Fan Min 001 (Int. J. Mach. Learn. Cybern., 2025)

Neural recommendation by user-item-user and item-user-item relation modeling. - Yuanyuan Xu 003; Hui Xiao; Heng-Ru Zhang; Dan-Dong Wang; Kun Wang; Fan Min 001 (Pattern Recognit., 2026)