| Semantic path based personalized recommendation on weighted heterogeneous information networks C Shi, Z Zhang, P Luo, PS Yu, Y Yue, B Wu Proceedings of the 24th ACM international on conference on information and …, 2015 | 320 | 2015 |
| 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 | 124 | 2019 |
| Representation learning via dual-autoencoder for recommendation F Zhuang, Z Zhang, M Qian, C Shi, X Xie, Q He Neural Networks 90, 83-89, 2017 | 114 | 2017 |
| Agl: a scalable system for industrial-purpose graph machine learning D Zhang, X Huang, Z Liu, Z Hu, X Song, Z Ge, Z Zhang, L Wang, J Zhou, ... arXiv preprint arXiv:2003.02454, 2020 | 107 | 2020 |
| Financial risk analysis for SMEs with graph-based supply chain mining S Yang, Z Zhang, J Zhou, Y Wang, W Sun, X Zhong, Y Fang, Q Yu, Y Qi Proceedings of the Twenty-Ninth International Conference on International …, 2021 | 83 | 2021 |
| Distributed deep forest and its application to automatic detection of cash-out fraud YL Zhang, J Zhou, W Zheng, J Feng, L Li, Z Liu, M Li, Z Zhang, C Chen, ... ACM Transactions on Intelligent Systems and Technology (TIST) 10 (5), 1-19, 2019 | 83 | 2019 |
| Core: simple and effective session-based recommendation within consistent representation space Y Hou, B Hu, Z Zhang, WX Zhao Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 55 | 2022 |
| Bandit samplers for training graph neural networks Z Liu, Z Wu, Z Zhang, J Zhou, S Yang, L Song, Y Qi Advances in Neural Information Processing Systems 33, 6878-6888, 2020 | 45 | 2020 |
| Conditional graph attention networks for distilling and refining knowledge graphs in recommendation K Tu, P Cui, D Wang, Z Zhang, J Zhou, Y Qi, W Zhu Proceedings of the 30th ACM International Conference on Information …, 2021 | 44 | 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 …, 2020 | 38 | 2020 |
| Atbrg: Adaptive target-behavior relational graph network for effective recommendation Y Feng, B Hu, F Lv, Q Liu, Z Zhang, W Ou Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 35 | 2020 |
| Image matters: Visually modeling user behaviors using advanced model server T Ge, L Zhao, G Zhou, K Chen, S Liu, H Yi, Z Hu, B Liu, P Sun, H Liu, P Yi, ... Proceedings of the 27th ACM International Conference on Information and …, 2018 | 34 | 2018 |
| Robust heterogeneous graph neural networks against adversarial attacks M Zhang, X Wang, M Zhu, C Shi, Z Zhang, J Zhou Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4363-4370, 2022 | 33 | 2022 |
| 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 | 33 | 2021 |
| Confidence may cheat: Self-training on graph neural networks under distribution shift H Liu, B Hu, X Wang, C Shi, Z Zhang, J Zhou Proceedings of the ACM Web Conference 2022, 1248-1258, 2022 | 31 | 2022 |
| Temporal-aware graph neural network for credit risk prediction D Wang, Z Zhang, J Zhou, P Cui, J Fang, Q Jia, Y Fang, Y Qi Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021 | 26 | 2021 |
| Improve diverse text generation by self labeling conditional variational auto encoder Y Zhang, Y Wang, L Zhang, Z Zhang, K Gai ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 25 | 2019 |
| Selection and generation: Learning towards multi-product advertisement post generation Z Chan, Y Zhang, X Chen, S Gao, Z Zhang, D Zhao, R Yan Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 24 | 2020 |
| Inductive link prediction with interactive structure learning on attributed graph S Yang, B Hu, Z Zhang, W Sun, Y Wang, J Zhou, H Shan, Y Cao, B Ye, ... Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021 | 22 | 2021 |
| Regularizing graph neural networks via consistency-diversity graph augmentations D Bo, BB Hu, X Wang, Z Zhang, C Shi, J Zhou Proceedings of the aaai conference on artificial intelligence 36 (4), 3913-3921, 2022 | 20 | 2022 |
Jun ZhouAnt GroupVerified email at antfin.com
