Bin Wu

39 papers A* 3A 1Journal 34Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Benchmark of Microvideos for Public Opinion Analysis.
IEEE Trans. Comput. Soc. Syst.
Junxiao Xue, Jie Wang, Xiaozhen Liu, Peifu Yang, Xuecheng Wu, Bin Wu
2026 J jnl
A Trustworthy Method for Multimodal Emotion Recognition.
Big Data Min. Anal.
Junxiao Xue, Xiaozhen Liu, Jie Wang, Xuecheng Wu, Bin Wu
2026 J jnl
Adversarial contrastive collaborative filtering.
Knowl. Based Syst.
Bin Wu, Bo Zhang, Ruiwen Fan, Yangdong Ye
2026 J jnl
EGCL: An Effective and Efficient Graph Contrastive Learning Framework for Social Recommendation.
ACM Trans. Inf. Syst.
Bin Wu, Bo Zhang, Yihao Tian, Chenliang Li, Jing J. Liang, Yangdong Ye
2026 J jnl
Fine-grained Semantics Integration for Large Language Model-based Recommendation.
CoRR
Jiawei Feng, Xiaoyu Kong, Leheng Sheng, Bin Wu, Chao Yi, Feifang Yang, Xiang-Rong Sheng, Han Zhu, Xiang Wang, Jiancan Wu, Xiangnan He
2025 J jnl
A Trustworthy Method for Multimodal Emotion Recognition.
CoRR
Junxiao Xue, Xiaozhen Liu, Jie Wang, Xuecheng Wu, Bin Wu
2025 J jnl
DCIB: Dual contrastive information bottleneck for knowledge-aware recommendation.
Inf. Process. Manag.
Qiang Guo, Jialong Hai, Zhongchuan Sun, Bin Wu, Yangdong Ye
2025 J jnl
Disentangled Graph Contrastive Learning for Socially-Aware Next-Item Recommendation.
IEEE Trans. Big Data
Bin Wu, Xun Su, Long Chen, Jing Liang, Yangdong Ye
2025 J jnl
Knowledge-refined information bottleneck for contrastive recommendation.
Expert Syst. Appl.
Qiang Guo, Bin Wu, Zhongchuan Sun, Haichuan Fang, Yangdong Ye
2025 J jnl
MUSE: A Simple Yet Effective Multimodal Search-Based Framework for Lifelong User Interest Modeling.
CoRR
Bin Wu, Feifan Yang, Zhangming Chan, Yu-Ran Gu, Jiawei Feng, Chao Yi, Xiang-Rong Sheng, Han Zhu, Jian Xu, Mang Ye, Bo Zheng
2025 A* conf
Synthetic Data is an Elegant GIFT for Continual Vision-Language Models.
CVPR
Bin Wu, Wuxuan Shi, Jinqiao Wang, Mang Ye
2025 J jnl
Synthetic Data is an Elegant GIFT for Continual Vision-Language Models.
CoRR
Bin Wu, Wuxuan Shi, Jinqiao Wang, Mang Ye
2024 J jnl
Cross-domain contrastive graph neural network for lncRNA-protein interaction prediction.
Knowl. Based Syst.
Hui Li, Bin Wu, Miaomiao Sun, Zhenfeng Zhu, Kuisheng Chen, Hong Ge
2024 J jnl
Graph gating-mixer for sequential recommendation.
Expert Syst. Appl.
Bin Wu, Xun Su, Jing J. Liang, Zhongchuan Sun, Lihong Zhong, Yangdong Ye
2024 — conf
Learning from the Future for Sequential Recommendation.
ACM TUR-C
Zhongchuan Sun, Bin Wu, Yangdong Ye
2023 J jnl
Attentive Adversarial Collaborative Filtering.
IEEE Trans. Syst. Man Cybern. Syst.
Zhongchuan Sun, Bin Wu, Shizhe Hu, Mingming Zhang, Yangdong Ye
2023 J jnl
Cross-modal information fusion for voice spoofing detection.
Speech Commun.
Junxiao Xue, Hao Zhou, Huawei Song, Bin Wu, Lei Shi
2023 J jnl
GCRec: Graph-Augmented Capsule Network for Next-Item Recommendation.
IEEE Trans. Neural Networks Learn. Syst.
Bin Wu, Xiangnan He, Qi Zhang, Meng Wang, Yangdong Ye
2023 J jnl
Graph-Augmented Co-Attention Model for Socio-Sequential Recommendation.
IEEE Trans. Syst. Man Cybern. Syst.
Bin Wu, Xiangnan He, Le Wu, Xue Zhang, Yangdong Ye
2023 J jnl
Graph-Augmented Social Translation Model for Next-Item Recommendation.
IEEE Trans. Ind. Informatics
Bin Wu, Lihong Zhong, Yangdong Ye
2023 J jnl
Graph-coupled time interval network for sequential recommendation.
Inf. Sci.
Bin Wu, Tianren Shi, Lihong Zhong, Yan Zhang, Yangdong Ye
2023 J jnl
Learning From the Future: Light Cone Modeling for Sequential Recommendation.
IEEE Trans. Cybern.
Zhongchuan Sun, Bin Wu, Yifan Chen, Yangdong Ye
2023 A* conf
Modeling Product's Visual and Functional Characteristics for Recommender Systems (Extended Abstract).
ICDE
Bin Wu, Xiangnan He, Yu Chen, Liqiang Nie, Kai Zheng, Yangdong Ye
2023 J jnl
Multi-view graph neural network with cascaded attention for lncRNA-miRNA interaction prediction.
Knowl. Based Syst.
Hui Li, Bin Wu, Miaomiao Sun, Yangdong Ye, Zhenfeng Zhu, Kuisheng Chen
2022 J jnl
EAGCN: An Efficient Adaptive Graph Convolutional Network for Item Recommendation in Social Internet of Things.
IEEE Internet Things J.
Bin Wu, Lihong Zhong, Lina Yao, Yangdong Ye
2022 J jnl
Efficient complementary graph convolutional network without negative sampling for item recommendation.
Knowl. Based Syst.
Bin Wu, Lihong Zhong, Hui Li, Yangdong Ye
2022 J jnl
Gating augmented capsule network for sequential recommendation.
Knowl. Based Syst.
Qi Zhang, Bin Wu, Zhongchuan Sun, Yangdong Ye
2022 J jnl
Modeling Product's Visual and Functional Characteristics for Recommender Systems.
IEEE Trans. Knowl. Data Eng.
Bin Wu, Xiangnan He, Yun Chen, Liqiang Nie, Kai Zheng, Yangdong Ye
2022 J jnl
Sequential graph collaborative filtering.
Inf. Sci.
Zhongchuan Sun, Bin Wu, Youwei Wang, Yangdong Ye
2020 J jnl
ATM: An Attentive Translation Model for Next-Item Recommendation.
IEEE Trans. Ind. Informatics
Bin Wu, Xiangnan He, Zhongchuan Sun, Liang Chen, Yangdong Ye
2020 J jnl
BSPR: Basket-sensitive personalized ranking for product recommendation.
Inf. Sci.
Bin Wu, Yangdong Ye
2020 J jnl
Multi-granularity environment perception based on octree occupancy grid.
Multim. Tools Appl.
Ge Zhang, Bin Wu, Yulong Xu, Yangdong Ye
2020 J jnl
Unraveling Metric Vector Spaces With Factorization for Recommendation.
IEEE Trans. Ind. Informatics
Shuai Zhang, Lina Yao, Bin Wu, Xiwei Xu, Xiang Zhang, Liming Zhu
2019 J jnl
APL: Adversarial Pairwise Learning for Recommender Systems.
Expert Syst. Appl.
Zhongchuan Sun, Bin Wu, Yunpeng Wu, Yangdong Ye
2019 A* conf
DeepRec: An Open-source Toolkit for Deep Learning based Recommendation.
IJCAI
Shuai Zhang, Yi Tay, Lina Yao, Bin Wu, Aixin Sun
2019 J jnl
DeepRec: An Open-source Toolkit for Deep Learning based Recommendation.
CoRR
Shuai Zhang, Yi Tay, Lina Yao, Bin Wu, Aixin Sun
2019 A conf
Gated Attentive-Autoencoder for Content-Aware Recommendation.
WSDM
Chen Ma, Peng Kang, Bin Wu, Qinglong Wang, Xue Liu
2019 J jnl
Visual appearance or functional complementarity: Which aspect affects your decision making?
Inf. Sci.
Bin Wu, Yangdong Ye, Yun Chen
2018 J jnl
Gated Attentive-Autoencoder for Content-Aware Recommendation.
CoRR
Chen Ma, Peng Kang, Bin Wu, Qinglong Wang, Xue Liu