Obserwuj
Hongzhi Yin
Tytuł
Cytowane przez
Cytowane przez
Rok
Are graph augmentations necessary? simple graph contrastive learning for recommendation
J Yu, H Yin, X Xia, T Chen, L Cui, QVH Nguyen
Proceedings of the 45th international ACM SIGIR conference on research and …, 2022
5662022
Self-supervised hypergraph convolutional networks for session-based recommendation
X Xia, H Yin, J Yu, Q Wang, L Cui, X Zhang
Proceedings of the AAAI conference on artificial intelligence 35 (5), 4503-4511, 2021
5222021
Lcars: a location-content-aware recommender system
H Yin, Y Sun, B Cui, Z Hu, L Chen
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
4592013
Self-supervised multi-channel hypergraph convolutional network for social recommendation
J Yu, H Yin, J Li, Q Wang, NQV Hung, X Zhang
Proceedings of the web conference 2021, 413-424, 2021
4562021
Learning Graph-based POI Embedding for Location-based Recommendation
M Xie, H Yin*, F Xu, H Wang, W Chen, S Wang
The 25th ACM International Conference on Information and Knowledge …, 2016
4442016
Call attention to rumors: Deep attention based recurrent neural networks for early rumor detection
T Chen, X Li, H Yin, J Zhang
Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2018 …, 2018
4172018
Rethinking the item order in session-based recommendation with graph neural networks
R Qiu, J Li, Z Huang, H Yin
Proceedings of the 28th ACM international conference on information and …, 2019
3982019
Challenging the long tail recommendation
H Yin, B Cui, J Li, J Yao, C Chen
arXiv preprint arXiv:1205.6700, 2012
3742012
Where to go next: Modeling long-and short-term user preferences for point-of-interest recommendation
K Sun, T Qian, T Chen, Y Liang, QVH Nguyen, H Yin
Proceedings of the AAAI conference on artificial intelligence 34 (01), 214-221, 2020
3362020
Contrastive learning for representation degeneration problem in sequential recommendation
R Qiu, Z Huang, H Yin, Z Wang
Proceedings of the fifteenth ACM international conference on web search and …, 2022
3092022
Spatial-aware hierarchical collaborative deep learning for POI recommendation
H Yin, W Wang, H Wang, L Chen, X Zhou
IEEE Transactions on Knowledge and Data Engineering 29 (11), 2537-2551, 2017
3012017
Lc-rnn: A deep learning model for traffic speed prediction.
Z Lv, J Xu, K Zheng, H Yin, P Zhao, X Zhou
IJCAI 2018, 27, 2018
2882018
Adapting to User Interest Drift for POI Recommendation
H Yin, X Zhou, B Cui, H Wang, K Zheng, QVH Nguyen
IEEE Transaction on Knowledge and Data Engineering (TKDE), 2016
2852016
Origin-destination matrix prediction via graph convolution: a new perspective of passenger demand modeling
Y Wang, H Yin, H Chen, T Wo, J Xu, K Zheng
Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019
2802019
PME: projected metric embedding on heterogeneous networks for link prediction
H Chen, H Yin, W Wang, H Wang, QVH Nguyen, X Li
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
2802018
Self-supervised learning for recommender systems: A survey
J Yu, H Yin, X Xia, T Chen, J Li, Z Huang
IEEE Transactions on Knowledge and Data Engineering 36 (1), 335-355, 2023
2792023
A survey of machine unlearning
TT Nguyen, TT Huynh, Z Ren, PL Nguyen, AWC Liew, H Yin, ...
arXiv preprint arXiv:2209.02299, 2022
2392022
Social influence-based group representation learning for group recommendation
H Yin, Q Wang, K Zheng, Z Li, J Yang, X Zhou
2019 IEEE 35th International Conference on Data Engineering (ICDE), 566-577, 2019
2342019
Socially-aware self-supervised tri-training for recommendation
J Yu, H Yin, M Gao, X Xia, X Zhang, NQ Viet Hung
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
2052021
Gcn-based user representation learning for unifying robust recommendation and fraudster detection
S Zhang, H Yin, T Chen, QVN Hung, Z Huang, L Cui
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020
1962020
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