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Hongzhi Yin
- > Home > Persons > Hongzhi Yin
Publications
- 2024
- [i134]Yanling Wang, Jing Zhang, Lingxi Zhang, Lixin Liu, Yuxiao Dong, Cuiping Li, Hong Chen, Hongzhi Yin:
Open-World Semi-Supervised Learning for Node Classification. CoRR abs/2403.11483 (2024) - 2023
- [j88]Bowen Hao, Hongzhi Yin, Jing Zhang, Cuiping Li, Hong Chen:
A Multi-strategy-based Pre-training Method for Cold-start Recommendation. ACM Trans. Inf. Syst. 41(2): 31:1-31:24 (2023) - 2022
- [j76]Bowen Hao, Hongzhi Yin, Cuiping Li, Hong Chen:
Self-supervised graph learning for occasional group recommendation. Int. J. Intell. Syst. 37(12): 10880-10902 (2022) - [c125]Yanling Wang, Jing Zhang, Haoyang Li, Yuxiao Dong, Hongzhi Yin, Cuiping Li, Hong Chen:
ClusterSCL: Cluster-Aware Supervised Contrastive Learning on Graphs. WWW 2022: 1611-1621 - 2021
- [c100]Yanling Wang, Jing Zhang, Shasha Guo, Hongzhi Yin, Cuiping Li, Hong Chen:
Decoupling Representation Learning and Classification for GNN-based Anomaly Detection. SIGIR 2021: 1239-1248 - [c99]Bowen Hao, Jing Zhang, Hongzhi Yin, Cuiping Li, Hong Chen:
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation. WSDM 2021: 265-273 - [i32]Bowen Hao, Hongzhi Yin, Jing Zhang, Cuiping Li, Hong Chen:
Self-supervised Graph Learning for Occasional Group Recommendation. CoRR abs/2112.02274 (2021) - [i31]Bowen Hao, Hongzhi Yin, Jing Zhang, Cuiping Li, Hong Chen:
A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation. CoRR abs/2112.02275 (2021) - 2020
- [c82]Bowen Hao, Jing Zhang, Cuiping Li, Hong Chen, Hongzhi Yin:
Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach. ECML/PKDD (4) 2020: 36-51 - [i17]Bowen Hao, Jing Zhang, Hongzhi Yin, Cuiping Li, Hong Chen:
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation. CoRR abs/2012.07064 (2020) - [i16]Bowen Hao, Jing Zhang, Cuiping Li, Hong Chen, Hongzhi Yin:
Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach. CoRR abs/2012.14234 (2020)
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