Bin Wu

According to our database, Bin Wu authored at least 35 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Benchmark of Microvideos for Public Opinion Analysis.

Junxiao Xue, Jie Wang, Xiaozhen Liu, Peifu Yang, Xuecheng Wu, Bin Wu

IEEE Trans. Comput. Soc. Syst., April, 2026

EGCL: An Effective and Efficient Graph Contrastive Learning Framework for Social Recommendation.

Bin Wu, Bo Zhang, Yihao Tian, Chenliang Li, Jing J. Liang, Yangdong Ye

ACM Trans. Inf. Syst., March, 2026

Fine-grained Semantics Integration for Large Language Model-based Recommendation.

Jiawei Feng, Xiaoyu Kong, Leheng Sheng, Bin Wu, Chao Yi, Feifang Yang, Xiang-Rong Sheng, Han Zhu, Xiang Wang, Jiancan Wu, Xiangnan He

CoRR, February, 2026

Adversarial contrastive collaborative filtering.

Bin Wu, Bo Zhang, Ruiwen Fan, Yangdong Ye

Knowl. Based Syst., 2026

A Trustworthy Method for Multimodal Emotion Recognition.

Junxiao Xue, Xiaozhen Liu, Jie Wang, Xuecheng Wu, Bin Wu

Big Data Min. Anal., 2026

2025

Disentangled Graph Contrastive Learning for Socially-Aware Next-Item Recommendation.

Bin Wu, Xun Su, Long Chen, Jing Liang, Yangdong Ye

IEEE Trans. Big Data, December, 2025

MUSE: A Simple Yet Effective Multimodal Search-Based Framework for Lifelong User Interest Modeling.

Bin Wu, Feifan Yang, Zhangming Chan, Yu-Ran Gu, Jiawei Feng, Chao Yi, Xiang-Rong Sheng, Han Zhu, Jian Xu, Mang Ye, Bo Zheng

CoRR, December, 2025

DCIB: Dual contrastive information bottleneck for knowledge-aware recommendation.

Qiang Guo, Jialong Hai, Zhongchuan Sun, Bin Wu, Yangdong Ye

Inf. Process. Manag., 2025

Knowledge-refined information bottleneck for contrastive recommendation.

Qiang Guo, Bin Wu, Zhongchuan Sun, Haichuan Fang, Yangdong Ye

Expert Syst. Appl., 2025

Synthetic Data is an Elegant GIFT for Continual Vision-Language Models.

Bin Wu, Wuxuan Shi, Jinqiao Wang, Mang Ye

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Graph gating-mixer for sequential recommendation.

Bin Wu, Xun Su, Jing J. Liang, Zhongchuan Sun, Lihong Zhong, Yangdong Ye

Expert Syst. Appl., March, 2024

Cross-domain contrastive graph neural network for lncRNA-protein interaction prediction.

Hui Li, Bin Wu, Miaomiao Sun, Zhenfeng Zhu, Kuisheng Chen, Hong Ge

Knowl. Based Syst., 2024

Learning from the Future for Sequential Recommendation.

Zhongchuan Sun, Bin Wu, Yangdong Ye

Proceedings of the ACM Turing Award Celebration Conference 2024, 2024

2023

GCRec: Graph-Augmented Capsule Network for Next-Item Recommendation.

Bin Wu, Xiangnan He, Qi Zhang, Meng Wang, Yangdong Ye

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Graph-Augmented Social Translation Model for Next-Item Recommendation.

Bin Wu, Lihong Zhong, Yangdong Ye

IEEE Trans. Ind. Informatics, November, 2023

Graph-coupled time interval network for sequential recommendation.

Bin Wu, Tianren Shi, Lihong Zhong, Yan Zhang, Yangdong Ye

Inf. Sci., November, 2023

Graph-Augmented Co-Attention Model for Socio-Sequential Recommendation.

Bin Wu, Xiangnan He, Le Wu, Xue Zhang, Yangdong Ye

IEEE Trans. Syst. Man Cybern. Syst., July, 2023

Attentive Adversarial Collaborative Filtering.

Zhongchuan Sun, Bin Wu, Shizhe Hu, Mingming Zhang, Yangdong Ye

IEEE Trans. Syst. Man Cybern. Syst., July, 2023

Cross-modal information fusion for voice spoofing detection.

Junxiao Xue, Hao Zhou, Huawei Song, Bin Wu, Lei Shi

Speech Commun., February, 2023

Learning From the Future: Light Cone Modeling for Sequential Recommendation.

Zhongchuan Sun, Bin Wu, Yifan Chen, Yangdong Ye

IEEE Trans. Cybern., 2023

Multi-view graph neural network with cascaded attention for lncRNA-miRNA interaction prediction.

Hui Li, Bin Wu, Miaomiao Sun, Yangdong Ye, Zhenfeng Zhu, Kuisheng Chen

Knowl. Based Syst., 2023

Modeling Product's Visual and Functional Characteristics for Recommender Systems (Extended Abstract).

Bin Wu, Xiangnan He, Yu Chen, Liqiang Nie, Kai Zheng, Yangdong Ye

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Modeling Product's Visual and Functional Characteristics for Recommender Systems.

Bin Wu, Xiangnan He, Yun Chen, Liqiang Nie, Kai Zheng, Yangdong Ye

IEEE Trans. Knowl. Data Eng., 2022

Gating augmented capsule network for sequential recommendation.

Qi Zhang, Bin Wu, Zhongchuan Sun, Yangdong Ye

Knowl. Based Syst., 2022

Efficient complementary graph convolutional network without negative sampling for item recommendation.

Bin Wu, Lihong Zhong, Hui Li, Yangdong Ye

Knowl. Based Syst., 2022

Sequential graph collaborative filtering.

Zhongchuan Sun, Bin Wu, Youwei Wang, Yangdong Ye

Inf. Sci., 2022

EAGCN: An Efficient Adaptive Graph Convolutional Network for Item Recommendation in Social Internet of Things.

Bin Wu, Lihong Zhong, Lina Yao, Yangdong Ye

IEEE Internet Things J., 2022

2020

Unraveling Metric Vector Spaces With Factorization for Recommendation.

Shuai Zhang, Lina Yao, Bin Wu, Xiwei Xu, Xiang Zhang, Liming Zhu

IEEE Trans. Ind. Informatics, 2020

ATM: An Attentive Translation Model for Next-Item Recommendation.

Bin Wu, Xiangnan He, Zhongchuan Sun, Liang Chen, Yangdong Ye

IEEE Trans. Ind. Informatics, 2020

Multi-granularity environment perception based on octree occupancy grid.

Ge Zhang, Bin Wu, Yulong Xu, Yangdong Ye

Multim. Tools Appl., 2020

BSPR: Basket-sensitive personalized ranking for product recommendation.

Bin Wu, Yangdong Ye

Inf. Sci., 2020

2019

Visual appearance or functional complementarity: Which aspect affects your decision making?

Bin Wu, Yangdong Ye, Yun Chen

Inf. Sci., 2019

APL: Adversarial Pairwise Learning for Recommender Systems.

Zhongchuan Sun, Bin Wu, Yunpeng Wu, Yangdong Ye

Expert Syst. Appl., 2019

Gated Attentive-Autoencoder for Content-Aware Recommendation.

Chen Ma, Peng Kang, Bin Wu, Qinglong Wang, Xue Liu

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

DeepRec: An Open-source Toolkit for Deep Learning based Recommendation.

Shuai Zhang, Yi Tay, Lina Yao, Bin Wu, Aixin Sun

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019