DeepRec: An Open-source Toolkit for Deep Learning based Recommendation. - Shuai Zhang 007; Yi Tay; Lina Yao 001; Bin Wu 019; Aixin Sun (IJCAI, 2019)

Gated Attentive-Autoencoder for Content-Aware Recommendation. - Chen Ma 001; Peng Kang; Bin Wu 019; Qinglong Wang 003; Xue Liu 001 (WSDM, 2019)

APL: Adversarial Pairwise Learning for Recommender Systems. - Zhongchuan Sun; Bin Wu 019; Yunpeng Wu; Yangdong Ye (Expert Syst. Appl., 2019)

Visual appearance or functional complementarity: Which aspect affects your decision making? - Bin Wu 019; Yangdong Ye; Yun Chen (Inf. Sci., 2019)

BSPR: Basket-sensitive personalized ranking for product recommendation. - Bin Wu 019; Yangdong Ye (Inf. Sci., 2020)

Multi-granularity environment perception based on octree occupancy grid. - Ge Zhang 008; Bin Wu 019; Yulong Xu; Yangdong Ye (Multim. Tools Appl., 2020)

ATM: An Attentive Translation Model for Next-Item Recommendation. - Bin Wu 019; Xiangnan He 001; Zhongchuan Sun; Liang Chen 001; Yangdong Ye (IEEE Trans. Ind. Informatics, 2020)

Unraveling Metric Vector Spaces With Factorization for Recommendation. - Shuai Zhang 007; Lina Yao 001; Bin Wu 019; Xiwei Xu 001; Xiang Zhang 012; Liming Zhu 001 (IEEE Trans. Ind. Informatics, 2020)

EAGCN: An Efficient Adaptive Graph Convolutional Network for Item Recommendation in Social Internet of Things. - Bin Wu 019; Lihong Zhong; Lina Yao 001; Yangdong Ye (IEEE Internet Things J., 2022)

Sequential graph collaborative filtering. - Zhongchuan Sun; Bin Wu 019; Youwei Wang; Yangdong Ye (Inf. Sci., 2022)

Efficient complementary graph convolutional network without negative sampling for item recommendation. - Bin Wu 019; Lihong Zhong; Hui Li; Yangdong Ye (Knowl. Based Syst., 2022)

Gating augmented capsule network for sequential recommendation. - Qi Zhang 071; Bin Wu 019; Zhongchuan Sun; Yangdong Ye (Knowl. Based Syst., 2022)

Modeling Product's Visual and Functional Characteristics for Recommender Systems. - Bin Wu 019; Xiangnan He 001; Yun Chen; Liqiang Nie; Kai Zheng 001; Yangdong Ye (IEEE Trans. Knowl. Data Eng., 2022)

Modeling Product's Visual and Functional Characteristics for Recommender Systems (Extended Abstract). - Bin Wu 019; Xiangnan He 001; Yu Chen 022; Liqiang Nie; Kai Zheng 001; Yangdong Ye (ICDE, 2023)

Multi-view graph neural network with cascaded attention for lncRNA-miRNA interaction prediction. - Hui Li; Bin Wu 019; Miaomiao Sun; Yangdong Ye; Zhenfeng Zhu; Kuisheng Chen (Knowl. Based Syst., 2023)

Learning From the Future: Light Cone Modeling for Sequential Recommendation. - Zhongchuan Sun; Bin Wu 019; Yifan Chen; Yangdong Ye (IEEE Trans. Cybern., 2023)

Cross-modal information fusion for voice spoofing detection. - Junxiao Xue; Hao Zhou; Huawei Song; Bin Wu 019; Lei Shi 001 (Speech Commun., 2023)

Attentive Adversarial Collaborative Filtering. - Zhongchuan Sun; Bin Wu 019; Shizhe Hu; Mingming Zhang; Yangdong Ye (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Graph-Augmented Co-Attention Model for Socio-Sequential Recommendation. - Bin Wu 019; Xiangnan He 001; Le Wu; Xue Zhang; Yangdong Ye (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Graph-coupled time interval network for sequential recommendation. - Bin Wu 019; Tianren Shi; Lihong Zhong; Yan Zhang 036; Yangdong Ye (Inf. Sci., 2023)

Graph-Augmented Social Translation Model for Next-Item Recommendation. - Bin Wu 019; Lihong Zhong; Yangdong Ye (IEEE Trans. Ind. Informatics, 2023)

GCRec: Graph-Augmented Capsule Network for Next-Item Recommendation. - Bin Wu 019; Xiangnan He 001; Qi Zhang 071; Meng Wang 001; Yangdong Ye (IEEE Trans. Neural Networks Learn. Syst., 2023)

Learning from the Future for Sequential Recommendation. - Zhongchuan Sun; Bin Wu 019; Yangdong Ye (ACM TUR-C, 2024)

Cross-domain contrastive graph neural network for lncRNA-protein interaction prediction. - Hui Li; Bin Wu 019; Miaomiao Sun; Zhenfeng Zhu; Kuisheng Chen; Hong Ge (Knowl. Based Syst., 2024)

Graph gating-mixer for sequential recommendation. - Bin Wu 019; Xun Su; Jing J. Liang; Zhongchuan Sun; Lihong Zhong; Yangdong Ye (Expert Syst. Appl., 2024)

Knowledge-refined information bottleneck for contrastive recommendation. - Qiang Guo 012; Bin Wu 019; Zhongchuan Sun; Haichuan Fang; Yangdong Ye (Expert Syst. Appl., 2025)

DCIB: Dual contrastive information bottleneck for knowledge-aware recommendation. - Qiang Guo 012; Jialong Hai; Zhongchuan Sun; Bin Wu 019; Yangdong Ye (Inf. Process. Manag., 2025)

A Trustworthy Method for Multimodal Emotion Recognition. - Junxiao Xue; Xiaozhen Liu; Jie Wang; Xuecheng Wu; Bin Wu 019 (CoRR, 2025)