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Ruining He
Ruining He
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Title
Cited by
Cited by
Year
Graph convolutional neural networks for web-scale recommender systems
R Ying, R He, K Chen, P Eksombatchai, WL Hamilton, J Leskovec
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
34152018
Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering
R He, J McAuley
Proceedings of the 25th International Conference on World Wide Web (WWW 2016 …, 2016
21262016
VBPR: visual bayesian personalized ranking from implicit feedback
R He, J McAuley
Thirtieth AAAI Conference on Artificial Intelligence (AAAI 2016), 2016
8272016
Fusing similarity models with markov chains for sparse sequential recommendation
R He, J McAuley
IEEE 16th International Conference on Data Mining (ICDM 2016), 191-200, 2016
6912016
Translation-based recommendation
R He, WC Kang, J McAuley
Proceedings of the Eleventh ACM Conference on Recommender Systems (RecSys …, 2017
4222017
Vista: A visually, socially, and temporally-aware model for artistic recommendation
R He, C Fang, Z Wang, J McAuley
Proceedings of the 10th ACM Conference on Recommender Systems (RecSys 2016 …, 2016
1532016
Learning compatibility across categories for heterogeneous item recommendation
R He, C Packer, J McAuley
IEEE 16th International Conference on Data Mining (ICDM 2016), 937-942, 2016
1092016
Realformer: Transformer likes residual attention
R He, A Ravula, B Kanagal, J Ainslie
arXiv preprint arXiv:2012.11747, 2020
852020
Sherlock: sparse hierarchical embeddings for visually-aware one-class collaborative filtering
R He, C Lin, J Wang, J McAuley
Proceedings of the 25th International Joint Conference on Artificial …, 2016
732016
SPMC: socially-aware personalized markov chains for sparse sequential recommendation
C Cai, R He, J McAuley
Proceedings of the 26th International Joint Conference on Artificial …, 2017
572017
Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior.
R He, WC Kang, J McAuley
Proceedings of the 27th International Joint Conference on Artificial …, 2018
462018
MILC: Inverted list compression in memory
J Wang, C Lin, R He, M Chae, Y Papakonstantinou, S Swanson
Proceedings of the VLDB Endowment 10 (8), 853-864, 2017
392017
ISBA: An independent set-based algorithm for automated partial reconfiguration module generation
R He, Y Ma, K Zhao, J Bian
Proceedings of the International Conference on Computer-Aided Design (ICCAD …, 2012
192012
Fashionista: A fashion-aware graphical system for exploring visually similar items
R He, C Lin, J McAuley
Proceedings of the 25th International Conference Companion on World Wide Web …, 2016
102016
DOCENT: Learning self-supervised entity representations from large document collections
Y Zemlyanskiy, S Gandhe, R He, B Kanagal, A Ravula, J Gottweis, F Sha, ...
arXiv preprint arXiv:2102.13247, 2021
92021
Deep partial multiplex network embedding
Q Wang, Y Fang, A Ravula, R He, B Shen, J Wang, X Quan, D Liu
Companion Proceedings of the Web Conference 2022, 1053-1062, 2022
72022
Efficient processing of neighborhood data
J Leskovec, C Eksombatchai, K Chen, R He, R Ying
US Patent 11,232,152, 2022
72022
PDPR: Fine-grained placement for dynamic partially reconfigurable FPGAs
R He, G Liang, Y Ma, Y Wang, J Bian
International Symposium on Applied Reconfigurable Computing, 350-356, 2012
52012
Efficient convolutional network for recommender systems
J Leskovec, C Eksombatchai, R He, K Chen, R Ying
US Patent 11,797,838, 2023
42023
Jure Leskovec
R Ying, R He, K Chen, P Eksombatchai, WL Hamilton
Graph Convolutional Neural Networks for Web-Scale Recommender Systems, ACM …, 2018
42018
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