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Fine-Grained Data Inference via Incomplete Multi-Granularity Data
Hepeng Gao, Yijun Su, Funing Yang, Yongjian Yang
Disentangled Contrastive Hypergraph Learning for Next {POI} Recommendation
Next point-of-interest (POI) recommendation has been a prominent and trending task to provide next suitable POI suggestions for users. …
Yantong Lai, Yijun Su, Lingwei Wei, Tianqi He, Haitao Wang, Gaode Chen, Daren Zha, Qiang Liu, Xingxing Wang
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Disentangled Contrastive Hypergraph Learning for Next {POI} Recommendation
Adaptive Spatial-Temporal Hypergraph Fusion Learning for Next POI Recommendation
Next point-of-interest (POI) recommendation has been a trending task to provide next POI suggestions. Most existing sequential-based …
Yantong Lai, Yijun Su, Lingwei Wei, Tianci Wang, Daren Zha, Xin Wang
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Adaptive Spatial-Temporal Hypergraph Fusion Learning for Next POI Recommendation
Multi-View Spatial-Temporal Enhanced Hypergraph Network for Next POI Recommendation
Next point-of-interest (POI) recommendation has been a prominent and trending task to provide next suitable POI suggestions for users. …
Yantong Lai, Yijun Su, Lingwei Wei, Gaode Chen, Tianci Wang, Daren Zha
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Multi-View Spatial-Temporal Enhanced Hypergraph Network for Next POI Recommendation
Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation
Cross-domain recommendation (CDR) aims to alleviate the data sparsity by transferring knowledge from an informative source domain to …
Gaode Chen, Xinghua Zhang, Yijun Su, Yantong Lai, Ji Xiang, Junbo Zhang, Yu Zheng
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Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation
Neural Demographic Prediction in Social Media with Deep Multi-View Multi-Task Learning
Utilizing the demographic information of social media users is very essential for personalized online services. However, it is …
Yantong Lai, Yijun Su, Cong Xue, Daren Zha
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Neural Demographic Prediction in Social Media with Deep Multi-View Multi-Task Learning
FGRec: A Fine-Grained Point-of-Interest Recommendation Framework by Capturing Intrinsic Influences
Point-of-interest (POI) recommendation has become an important service to help users discover attractive locations. A variety of …
Yijun Su, Jia-Dong Zhang, Xiang Li, Daren Zha, Ji Xiang, Wei Tang
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User Alignment with Jumping Seed Alignment Information Propagation
User Alignment is to find users belonging to a same real person on different social networks and has become a fundamental task for many …
Xiang Li, Yijun Su, Neng Gao., Ji Xiang, Yuewu Wang
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FGCRec: Fine-Grained Geographical Characteristics Modeling for Point-of-Interest Recommendation
With the popularity of location-based social networks (LBSNs), Point-of-Interest (POI) recommendation has become an essential …
Yijun Su, Xiang Li, Baoping Liu, Daren Zha, Ji Xiang, Wei Tang, Neng Gao.
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Reducing Style Overfitting for Character Recognition via Parallel Neural Networks with Style to Content Connection
There is a significant style overfitting problem in neural-based character recognition:insufficient generalization ability to recognize …
Wei Tang, Yiwen Jiang, Neng Gao., Ji Xiang, Jiahui Shen, Xiang Li, Yijun Su
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