Bangzuo Zhang

21 papers B 1Journal 13Unranked 7
YearRankTypeTitle / Venue / Authors
2025 B conf
Knowledge Graph Self-Supervised Learning for Recommendation.
IJCNN
Xinye Guan, Guixin Chu, Bangzuo Zhang, Lingxuan Li
2024 J jnl
Enhancing session-based recommendations by fusing candidate items.
Int. Arab J. Inf. Technol.
Yingjuan Sun, Wanhua Li, Jingqi Xing, Bangzuo Zhang, Dongbing Pu, Qian Liu, Yinghui Sun
2024 — conf
Self-augmented Contrastive Learning for Knowledge-Aware Recommendation.
DASFAA (3)
Guixin Chu, Xinye Guan, Yiran Shi, Bangzuo Zhang, Dongbing Pu
2023 J jnl
Relationship-aware contrastive learning for social recommendations.
Inf. Sci.
Jinchao Ji, Bingjie Zhang, Junchao Yu, Xudong Zhang, Dinghang Qiu, Bangzuo Zhang
2021 J jnl
Attribute-aware deep attentive recommendation.
J. Supercomput.
Xiaoxin Sun, Lisa Zhang, Yuling Wang, Mengying Yu, Minghao Yin, Bangzuo Zhang
2021 J jnl
KCRec: Knowledge-aware representation Graph Convolutional Network for Recommendation.
Knowl. Based Syst.
Lisa Zhang, Zhe Kang, Xiaoxin Sun, Hong Sun, Bangzuo Zhang, Dongbing Pu
2020 J jnl
Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation.
IEEE Trans. Neural Networks Learn. Syst.
Jiayu Han, Lei Zheng, Yuanbo Xu, Bangzuo Zhang, Fuzhen Zhuang, Philip S. Yu, Wanli Zuo
2020 J jnl
Deep Plot-Aware Generalized Matrix Factorization for Collaborative Filtering.
Neural Process. Lett.
Xiaoxin Sun, Haobo Zhang, Meiqi Wang, Mengying Yu, Minghao Yin, Bangzuo Zhang
2020 J jnl
Extreme Residual Connected Convolution-Based Collaborative Filtering for Document Context-Aware Rating Prediction.
IEEE Access
Bangzuo Zhang, Min Zhu, Mengying Yu, Dongbing Pu, Guozhong Feng
2019 J jnl
Integrating an Attention Mechanism and Convolution Collaborative Filtering for Document Context-Aware Rating Prediction.
IEEE Access
Bangzuo Zhang, Haobo Zhang, Xiaoxin Sun, Guozhong Feng, Chunguang He
2019 J jnl
Trust-Aware Collaborative Filtering with a Denoising Autoencoder.
Neural Process. Lett.
Meiqi Wang, Zhiyuan Wu, Xiaoxin Sun, Guozhong Feng, Bangzuo Zhang
2018 J jnl
A probabilistic model derived term weighting scheme for text classification.
Pattern Recognit. Lett.
Guozhong Feng, Shaoting Li, Tieli Sun, Bangzuo Zhang
2018 J jnl
Multiple Auxiliary Information Based Deep Model for Collaborative Filtering.
J. Comput. Sci. Technol.
Lin Yue, Xiaoxin Sun, Wenzhu Gao, Guo-Zhong Feng, Bangzuo Zhang
2017 J jnl
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
Xuefeng Zang, Tianqi Liu, Xiaoxin Sun, Guozhong Feng, Bangzuo Zhang
2016 — conf
A New Weighted Similarity Method Based on Neighborhood User Contributions for Collaborative Filtering.
DSC
Xuefeng Zang, Tianqi Liu, Shuyu Qiao, Wenzhu Gao, Jiatong Wang, Xiaoxin Sun, Bangzuo Zhang
2016 — conf
A Novel Recommendation Method Based on User's Interest and Heterogeneous Information.
APWeb Workshops
Jiatong Wang, Zhenqian Fei, Shuyu Qiao, Wei Sun, Xiaoxin Sun, Bangzuo Zhang
2015 — conf
A Novel Recommendation Algorithm Based on Heterogeneous Information Network Similarity and Preference Diffusion.
WAIM Workshops
Bangzuo Zhang, Shulin Tang, Zongming Ying, Yongjian Cai, Guiping Xu, Kun Xu
2009 J jnl
Reliable Negative Extracting Based on kNN for Learning from Positive and Unlabeled Examples.
J. Comput.
Bangzuo Zhang, Wanli Zuo
2008 — conf
A Novel Reliable Negative Method Based on Clustering for Learning from Positive and Unlabeled Examples.
AIRS
Bangzuo Zhang, Wanli Zuo
2008 — conf
Learning from Positive and Unlabeled Examples: A Survey.
ISIP
Bangzuo Zhang, Wanli Zuo
2008 — conf
Tri-Training Based Learning from Positive and Unlabeled Data.
ISIP
Bangzuo Zhang, Wanli Zuo