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2020 – today
- 2023
[j12]Jinchao Ji, Bingjie Zhang
, Junchao Yu, Xudong Zhang, Dinghang Qiu, Bangzuo Zhang:
Relationship-aware contrastive learning for social recommendations. Inf. Sci. 629: 778-797 (2023)- 2021
- [j11]Lisa Zhang, Zhe Kang, Xiaoxin Sun, Hong Sun, Bangzuo Zhang, Dongbing Pu:
KCRec: Knowledge-aware representation Graph Convolutional Network for Recommendation. Knowl. Based Syst. 230: 107399 (2021) - [j10]Xiaoxin Sun, Lisa Zhang, Yuling Wang, Mengying Yu, Minghao Yin, Bangzuo Zhang:
Attribute-aware deep attentive recommendation. J. Supercomput. 77(6): 5510-5527 (2021) - 2020
- [j9]Bangzuo Zhang, Min Zhu, Mengying Yu, Dongbing Pu, Guozhong Feng:
Extreme Residual Connected Convolution-Based Collaborative Filtering for Document Context-Aware Rating Prediction. IEEE Access 8: 53604-53613 (2020) - [j8]Xiaoxin Sun, Haobo Zhang, Meiqi Wang, Mengying Yu, Minghao Yin, Bangzuo Zhang:
Deep Plot-Aware Generalized Matrix Factorization for Collaborative Filtering. Neural Process. Lett. 52(3): 1983-1995 (2020) - [j7]Jiayu Han, Lei Zheng, Yuanbo Xu, Bangzuo Zhang, Fuzhen Zhuang, Philip S. Yu, Wanli Zuo:
Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation. IEEE Trans. Neural Networks Learn. Syst. 31(3): 737-748 (2020)
2010 – 2019
- 2019
- [j6]Bangzuo Zhang, Haobo Zhang, Xiaoxin Sun, Guozhong Feng, Chunguang He:
Integrating an Attention Mechanism and Convolution Collaborative Filtering for Document Context-Aware Rating Prediction. IEEE Access 7: 3826-3835 (2019) - [j5]Meiqi Wang, Zhiyuan Wu, Xiaoxin Sun, Guozhong Feng, Bangzuo Zhang:
Trust-Aware Collaborative Filtering with a Denoising Autoencoder. Neural Process. Lett. 49(2): 835-849 (2019) - 2018
- [j4]Lin Yue, Xiaoxin Sun, Wenzhu Gao, Guo-Zhong Feng, Bangzuo Zhang:
Multiple Auxiliary Information Based Deep Model for Collaborative Filtering. J. Comput. Sci. Technol. 33(4): 668-681 (2018) - [j3]Guozhong Feng, Shaoting Li, Tieli Sun, Bangzuo Zhang:
A probabilistic model derived term weighting scheme for text classification. Pattern Recognit. Lett. 110: 23-29 (2018) - 2017
- [j2]Xuefeng Zang, Tianqi Liu, Xiaoxin Sun, Guozhong Feng, Bangzuo Zhang:
一种基于Bhattacharyya系数和项目相关性的协同过滤算法 (Collaborative Filtering Algorithm Based on Bhattacharyya Coefficient and Item Correlation). 计算机科学 44(12): 52-57 (2017) - 2016
- [c6]Jiatong Wang, Zhenqian Fei, Shuyu Qiao, Wei Sun, Xiaoxin Sun, Bangzuo Zhang:
A Novel Recommendation Method Based on User's Interest and Heterogeneous Information. APWeb Workshops 2016: 90-101 - [c5]Xuefeng Zang, Tianqi Liu, Shuyu Qiao, Wenzhu Gao, Jiatong Wang, Xiaoxin Sun, Bangzuo Zhang:
A New Weighted Similarity Method Based on Neighborhood User Contributions for Collaborative Filtering. DSC 2016: 376-381 - 2015
- [c4]Bangzuo Zhang, Shulin Tang, Zongming Ying, Yongjian Cai, Guiping Xu, Kun Xu:
A Novel Recommendation Algorithm Based on Heterogeneous Information Network Similarity and Preference Diffusion. WAIM Workshops 2015: 53-64
2000 – 2009
- 2009
- [j1]Bangzuo Zhang, Wanli Zuo:
Reliable Negative Extracting Based on kNN for Learning from Positive and Unlabeled Examples. J. Comput. 4(1): 94-101 (2009) - 2008
- [c3]Bangzuo Zhang, Wanli Zuo:
A Novel Reliable Negative Method Based on Clustering for Learning from Positive and Unlabeled Examples. AIRS 2008: 385-392 - [c2]Bangzuo Zhang, Wanli Zuo:
Tri-Training Based Learning from Positive and Unlabeled Data. ISIP 2008: 640-644 - [c1]Bangzuo Zhang, Wanli Zuo:
Learning from Positive and Unlabeled Examples: A Survey. ISIP 2008: 650-654
Coauthor Index
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