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Binbin Hu
Binbin Hu
BUPT & Ant Group
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Title
Cited by
Cited by
Year
Heterogeneous information network embedding for recommendation
C Shi, B Hu, WX Zhao, SY Philip
IEEE transactions on knowledge and data engineering 31 (2), 357-370, 2018
10252018
Leveraging meta-path based context for top-n recommendation with a neural co-attention model
B Hu, C Shi, WX Zhao, PS Yu
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
6402018
Adversarial Learning on Heterogeneous Information Networks
B Hu, Y Fang, C Shi
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
2002019
Heterogeneous Graph Structure Learning for Graph Neural Networks
J Zhao, X Wang, C Shi, B Hu, G Song, Y Ye
AAAI, 2021
1902021
Cash-out user detection based on attributed heterogeneous information network with a hierarchical attention mechanism
B Hu, Z Zhang, C Shi, J Zhou, X Li, Y Qi
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 946-953, 2019
1232019
Financial defaulter detection on online credit payment via multi-view attributed heterogeneous information network
Q Zhong, Y Liu, X Ao, B Hu, J Feng, J Tang, Q He
Proceedings of the web conference 2020, 785-795, 2020
1002020
EdgeRec: Recommender System on Edge in Mobile Taobao
Y Gong, Z Jiang, Y Feng, B Hu, K Zhao, Q Liu, W Ou
Proceedings of the 29th ACM International Conference on Information …, 2020
572020
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space
Y Hou, B Hu, Z Zhang, WX Zhao
SIGIR 2022, 2022
502022
Local and global information fusion for top-n recommendation in heterogeneous information network
B Hu, C Shi, WX Zhao, T Yang
Proceedings of the 27th ACM international conference on information and …, 2018
422018
Loan Default Analysis with Multiplex Graph Learning
B Hu, Z Zhang, J Zhou, J Fang, Q Jia, Y Fang, Q Yu, Y Qi
Proceedings of the 29th ACM International Conference on Information and …, 2020
382020
ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation
Y Feng*, B Hu*, F Lv, Q Liu, Z Zhang, W Ou
ACM SIGIR Conference on Research and Development in Information Retrieval …, 2020
352020
Counterfactual review-based recommendation
K Xiong, W Ye, X Chen, Y Zhang, WX Zhao, B Hu, Z Zhang, J Zhou
Proceedings of the 30th ACM International Conference on Information …, 2021
332021
Playlist recommendation based on reinforcement learning
B Hu, C Shi, J Liu
Intelligence Science I: Second IFIP TC 12 International Conference, ICIS …, 2017
322017
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift
H Liu, B Hu, X Wang, C Shi, Z Zhang, J Zhou
WWW 2022, 2022
302022
Personalized ranking recommendation via integrating multiple feedbacks
J Liu, C Shi, B Hu, S Liu, PS Yu
Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia …, 2017
282017
Inductive Link Prediction with Interactive Structure Learning on Attributed Graph
S Yang, B Hu, Z Zhang, W Sun, Y Wang, H Shan, J Zhou, Y Cao, B Ye, ...
ECML-PKDD, 2021
212021
Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations
D Bo, B Hu, X Wang, Z Zhang, C Shi, J Zhou
AAAI 2022, 2022
192022
GRN: Generative Rerank Network for Context-wise Recommendation
Y Feng, B Hu, Y Gong, F Sun, Q Liu, W Ou
arXiv preprint arXiv:2104.00860, 2021
142021
Local low-rank matrix approximation with preference selection of anchor points
M Zhang, B Hu, C Shi, B Wang
Proceedings of the 26th International Conference on World Wide Web Companion …, 2017
142017
Multiplex Memory Network for Collaborative Filtering
X Jiang, B Hu, Y Fang, C Shi
SIAM International Conference on Data Mining (SDM20), 2020
132020
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Articles 1–20