A Novel Reliable Negative Method Based on Clustering for Learning from Positive and Unlabeled Examples. - Bangzuo Zhang; Wanli Zuo (AIRS, 2008)

Tri-Training Based Learning from Positive and Unlabeled Data. - Bangzuo Zhang; Wanli Zuo (ISIP, 2008)

Learning from Positive and Unlabeled Examples: A Survey. - Bangzuo Zhang; Wanli Zuo (ISIP, 2008)

Reliable Negative Extracting Based on kNN for Learning from Positive and Unlabeled Examples. - Bangzuo Zhang; Wanli Zuo (J. Comput., 2009)

A Novel Recommendation Algorithm Based on Heterogeneous Information Network Similarity and Preference Diffusion. - Bangzuo Zhang; Shulin Tang; Zongming Ying; Yongjian Cai; Guiping Xu; Kun Xu (WAIM Workshops, 2015)

A Novel Recommendation Method Based on User's Interest and Heterogeneous Information. - Jiatong Wang; Zhenqian Fei; Shuyu Qiao; Wei Sun; Xiaoxin Sun; Bangzuo Zhang (APWeb Workshops, 2016)

A New Weighted Similarity Method Based on Neighborhood User Contributions for Collaborative Filtering. - Xuefeng Zang; Tianqi Liu; Shuyu Qiao; Wenzhu Gao; Jiatong Wang; Xiaoxin Sun; Bangzuo Zhang (DSC, 2016)

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). - Xuefeng Zang; Tianqi Liu; Xiaoxin Sun; Guozhong Feng; Bangzuo Zhang (计算机科学, 2017)

Multiple Auxiliary Information Based Deep Model for Collaborative Filtering. - Lin Yue; Xiaoxin Sun; Wenzhu Gao; Guo-Zhong Feng; Bangzuo Zhang (J. Comput. Sci. Technol., 2018)

A probabilistic model derived term weighting scheme for text classification. - Guozhong Feng; Shaoting Li; Tieli Sun; Bangzuo Zhang (Pattern Recognit. Lett., 2018)

Integrating an Attention Mechanism and Convolution Collaborative Filtering for Document Context-Aware Rating Prediction. - Bangzuo Zhang; Haobo Zhang; Xiaoxin Sun; Guozhong Feng; Chunguang He (IEEE Access, 2019)

Trust-Aware Collaborative Filtering with a Denoising Autoencoder. - Meiqi Wang; Zhiyuan Wu; Xiaoxin Sun; Guozhong Feng; Bangzuo Zhang (Neural Process. Lett., 2019)

Extreme Residual Connected Convolution-Based Collaborative Filtering for Document Context-Aware Rating Prediction. - Bangzuo Zhang; Min Zhu; Mengying Yu; Dongbing Pu; Guozhong Feng (IEEE Access, 2020)

Deep Plot-Aware Generalized Matrix Factorization for Collaborative Filtering. - Xiaoxin Sun; Haobo Zhang; Meiqi Wang; Mengying Yu; Minghao Yin; Bangzuo Zhang (Neural Process. Lett., 2020)

Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation. - Jiayu Han; Lei Zheng 001; Yuanbo Xu; Bangzuo Zhang; Fuzhen Zhuang; Philip S. Yu; Wanli Zuo (IEEE Trans. Neural Networks Learn. Syst., 2020)

KCRec: Knowledge-aware representation Graph Convolutional Network for Recommendation. - Lisa Zhang; Zhe Kang; Xiaoxin Sun; Hong Sun; Bangzuo Zhang; Dongbing Pu (Knowl. Based Syst., 2021)

Attribute-aware deep attentive recommendation. - Xiaoxin Sun; Lisa Zhang; Yuling Wang; Mengying Yu; Minghao Yin; Bangzuo Zhang (J. Supercomput., 2021)

Relationship-aware contrastive learning for social recommendations. - Jinchao Ji; Bingjie Zhang 008; Junchao Yu; Xudong Zhang; Dinghang Qiu; Bangzuo Zhang (Inf. Sci., 2023)

Self-augmented Contrastive Learning for Knowledge-Aware Recommendation. - Guixin Chu; Xinye Guan; Yiran Shi; Bangzuo Zhang; Dongbing Pu (DASFAA (3), 2024)

Enhancing session-based recommendations by fusing candidate items. - Yingjuan Sun; Wanhua Li 005; Jingqi Xing; Bangzuo Zhang; Dongbing Pu; Qian Liu; Yinghui Sun (Int. Arab J. Inf. Technol., 2024)