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Heng-Ru Zhang
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2020 – today
- 2024
- [j21]Zi-Feng Peng
, Heng-Ru Zhang
IUG-CF: Neural collaborative filtering with ideal user group labels. Expert Syst. Appl. 238(Part B): 121887 (2024) - [j20]Xiang-Yu Liang
Robust federated learning with voting and scaling. Future Gener. Comput. Syst. 153: 113-124 (2024) - [j19]Yuanyuan Xu, Hui Xiao, Heng-Ru Zhang, Wei-Zhi Wu, Fan Min
Matrix factorization with a sigmoid-like loss control. Neurocomputing 576: 127338 (2024) - [j18]Heng-Ru Zhang
Exploiting asymmetric influence between instances for label enhancement. Inf. Sci. 678: 120954 (2024) - [j17]Xin Jiang
Multi-Granularity Abnormal Traffic Detection Based on Multi-Instance Learning. IEEE Trans. Netw. Serv. Manag. 21(2): 1467-1477 (2024) - 2023
- [j16]Yongchun Gu
Enhancing Text Classification by Graph Neural Networks With Multi-Granular Topic-Aware Graph. IEEE Access 11: 20169-20183 (2023) - [j15]Chao-Fan Pan, Xue-Yang Min, Heng-Ru Zhang, Guojie Song, Fan Min
Behavior imitation of individual board game players. Appl. Intell. 53(10): 11571-11585 (2023) - [j14]Gui-Lin Li, Heng-Ru Zhang
Two-stage label distribution learning with label-independent prediction based on label-specific features. Knowl. Based Syst. 267: 110426 (2023) - [j13]Run-Ting Bai, Heng-Ru Zhang
Label-dependent feature exploration for label distribution learning. Int. J. Mach. Learn. Cybern. 14(11): 3685-3704 (2023) - [j12]Heng-Ru Zhang
Lower bound estimation of recommendation error through user uncertainty modeling. Pattern Recognit. 136: 109171 (2023) - [c12]Yan-Wen Xiong, Heng-Ru Zhang, Fan Min, Peng-Cheng Li:
Sample Topology Exploration for Label Distribution Learning. DSAA 2023: 1-9 - [c11]Heng-Ru Zhang
Label Distribution Learning with Discriminative Instance Mapping. PAKDD (1) 2023: 135-146 - 2022
- [j11]Heng-Ru Zhang, Jie Qian, Hui-Lin Qu, Fan Min
A Mixture-of-Gaussians model for estimating the magic barrier of the recommender system. Appl. Soft Comput. 114: 108162 (2022) - [c10]Chao-Fan Pan, Fan Min, Heng-Ru Zhang, Yu Wang:
BRL: Learning behavior representations of Reversi players. DSAA 2022: 1-10 - [c9]Bin-Yuan Rong, Heng-Ru Zhang, Gui-Lin Li, Fan Min:
Label Distribution Learning with Data Augmentation using Generative Adversarial Networks. DSAA 2022: 1-10 - 2021
- [c8]Gui-Lin Li, Heng-Ru Zhang, Yuanyuan Xu, Ya-Lan Lv, Fan Min
Label Distribution Learning by Exploiting Feature-Label Correlations Locally. ICBK 2021: 86-93 - 2020
- [j10]Heng-Ru Zhang
COS-LDL: Label Distribution Learning by Cosine-Based Distance-Mapping Correlation. IEEE Access 8: 63961-63970 (2020)
2010 – 2019
- 2019
- [j9]Qi Huang, Yuanyuan Xu, Yong Chen, Heng-Ru Zhang, Fan Min
An Adaptive Mechanism for Recommendation Algorithm Ensemble. IEEE Access 7: 10331-10342 (2019) - [j8]Rong-Ping Shen
Sentiment based matrix factorization with reliability for recommendation. Expert Syst. Appl. 135: 249-258 (2019) - [j7]Heng-Ru Zhang, Fan Min
Efficient collaborative filtering recommendations with multi-channel feature vectors. Int. J. Mach. Learn. Cybern. 10(5): 1165-1172 (2019) - [c7]Heng-Ru Zhang
CSLI: Cost-Sensitive Collaborative Filtering with Local Information Embedding. IJCRS 2019: 321-330 - 2018
- [j6]Heng-Ru Zhang, Fan Min
Magic barrier estimation models for recommended systems under normal distribution. Appl. Intell. 48(12): 4678-4693 (2018) - [j5]Ziyin Zhang, Heng-Ru Zhang, Yuanyuan Xu, Qin Qin:
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 45(10): 37-42 (2018) - [c6]Zhuo-Lin Fu, Fan Min
Recommendation with Generalized Logistic Transformation. ICBK 2018: 390-399 - 2017
- [j4]Heng-Ru Zhang
Regression-based three-way recommendation. Inf. Sci. 378: 444-461 (2017) - [c5]Yuanyuan Xu, Heng-Ru Zhang, Fan Min
A Three-Way Recommender System for Popularity-Based Costs. IJCRS (2) 2017: 278-289 - 2016
- [j3]Mei Zheng, Fan Min
Fast Recommendations With the M-Distance. IEEE Access 4: 1464-1468 (2016) - [j2]Chaodong Tan
Discovering Patterns With Weak-Wildcard Gaps. IEEE Access 4: 4922-4932 (2016) - [j1]Heng-Ru Zhang, Fan Min
Three-way recommender systems based on random forests. Knowl. Based Syst. 91: 275-286 (2016) - [c4]Xin-Ling Dong, Shuang-Bo Sun, Fan Min
Hybrid similarities for dynamic interaction recommendation. ICMLC 2016: 433-438 - 2015
- [c3]Heng-Ru Zhang, Fan Min
Cost-sensitive regression-based recommender system. ICMLC 2015: 253-258 - [c2]Yu-Wan He, Heng-Ru Zhang, Fan Min
A Teacher-Cost-Sensitive Decision-Theoretic Rough Set Model. RSKT 2015: 275-285 - 2014
- [c1]Heng-Ru Zhang, Fan Min
Interactive hybrid recommendation with granule selection. GrC 2014: 362-366
Coauthor Index
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