Binbin Hu
Binbin Hu
Ant Group
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Cited by
Cited by
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
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
Adversarial Learning on Heterogeneous Information Networks
B Hu, Y Fang, C Shi
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
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
Heterogeneous Graph Structure Learning for Graph Neural Networks
J Zhao, X Wang, C Shi, B Hu, G Song, Y Ye
AAAI, 2021
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
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
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
Personalized ranking recommendation via integrating multiple feedbacks
J Liu, C Shi, B Hu, S Liu, PS Yu
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 131-143, 2017
Playlist recommendation based on reinforcement learning
B Hu, C Shi, J Liu
International Conference on Intelligence Science, 172-182, 2017
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
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
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
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
Mtbrn: Multiplex target-behavior relation enhanced network for click-through rate prediction
Y Feng, F Lv, B Hu, F Sun, K Kuang, Y Liu, Q Liu, W Ou
Proceedings of the 29th ACM International Conference on Information …, 2020
Multiplex Memory Network for Collaborative Filtering
X Jiang, B Hu, Y Fang, C Shi
SIAM International Conference on Data Mining (SDM20), 2020
Matrix factorization meets social network embedding for rating prediction
M Zhang, B Hu, C Shi, B Wu, B Wang
Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint …, 2018
ANE: Network embedding via adversarial autoencoders
Y Xiao, D Xiao, B Hu, C Shi
2018 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2018
MFPR: A personalized ranking recommendation with multiple feedback
C Shi, J Liu, Y Zhang, B Hu, S Liu, PS Yu
ACM Transactions on Social Computing 1 (2), 1-22, 2018
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
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