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Iterative Sparse Attention for Long-sequence Recommendation.
Guanyu Lin, Jinwei Luo, Yinfeng Li, Chen Gao, Qun Luo, Depeng Jin
Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence.
AAAI, 2025. (CCF-A, Core A*, Accept Rate: 23.4%)
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SAQRec: Aligning Recommender Systems to User Satisfaction via Questionnaire Feedback.
Kepu Zhang, Teng Shi, Sunhao Dai, Xiao Zhang, Yinfeng Li, Jing Lu, Xiaoxue Zang, Yang Song, Jun Xu
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management.
CIKM, 2024. (CCF-B, Core A, Accept Rate: 23%)
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Inverse Learning with Extremely Sparse Feedback for Recommendation.
Guanyu Lin, Chen Gao, Yu Zheng, Yinfeng Li, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li
Proceedings of the 17th ACM International Conference on Web Search and Data Mining.
WSDM, 2024. (CCF-B, Core A, Accept Rate: 18.2%)
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Spatiotemporal-aware Session-based Recommendation with Graph Neural Networks.
Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li
Proceedings of the 31st ACM International Conference on Information and Knowledge Management.
CIKM, 2022. (CCF-B, Core A, Accept Rate: 23.3%)
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Automatically Discovering User Consumption Intents in Meituan.
Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
KDD, 2022. (CCF-A, Core A*, Accept Rate: 26%)
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Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation.
Yinfeng Li, Chen Gao, Hengliang Luo, Depeng Jin, Yong Li
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.
SIGIR, 2022. (CCF-A, Core A*, Accept Rate: 24.7%)
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Dual Contrastive Network for Sequential Recommendation.
Guanyu Lin, Chen Gao, Yinfeng Li, Yu Zheng, Zhiheng Li, Depeng Jin, Yong Li
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.
SIGIR, 2022. (CCF-A, Core A*, Accept Rate: 24.7%)
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DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction.
Yinfeng Li, Chen Gao, Quanming Yao, Tong Li, Depeng Jin, Yong Li
Proceedings of IEEE 38th International Conference on Data Engineering.
ICDE, 2022. (CCF-A, Core A*, Accept Rate: 27%)
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Progressive Feature Interaction Search for Deep Sparse Network.
Chen Gao, Yinfeng Li, Quanming Yao, Depeng Jin, Yong Li
Part of Advances in Neural Information Processing Systems 34 (NeurIPS 2021).
NeurIPS, 2021. (CCF-A, Core A*, Accept Rate: 26%)