| 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 | 1149 | 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 | 725 | 2018 |
| Heterogeneous Graph Structure Learning for Graph Neural Networks J Zhao, X Wang, C Shi, B Hu, G Song, Y Ye AAAI, 2021 | 251 | 2021 |
| Adversarial Learning on Heterogeneous Information Networks B Hu, Y Fang, C Shi Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 223 | 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 | 137 | 2019 |
| 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 | 112 | 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 | 76 | 2020 |
| CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space Y Hou, B Hu, Z Zhang, WX Zhao SIGIR 2022, 2022 | 73 | 2022 |
| 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 | 44 | 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 | 42 | 2022 |
| 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 | 40 | 2020 |
| 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 | 39 | 2021 |
| 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 | 38 | 2020 |
| Playlist recommendation based on reinforcement learning B Hu, C Shi, J Liu Intelligence Science I: Second IFIP TC 12 International Conference, ICIS …, 2017 | 38 | 2017 |
| Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations D Bo, B Hu, X Wang, Z Zhang, C Shi, J Zhou AAAI 2022, 2022 | 28 | 2022 |
| 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 | 28 | 2017 |
| 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 | 27 | 2021 |
| 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 | 17 | 2021 |
| 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 | 15 | 2017 |
| Multiplex Memory Network for Collaborative Filtering X Jiang, B Hu, Y Fang, C Shi SIAM International Conference on Data Mining (SDM20), 2020 | 14 | 2020 |
Chuan ShiBeijing University of Posts and TelecommunicationsVerified email at bupt.edu.cn
