| Heterogeneous graph neural networks for malicious account detection Z Liu, C Chen, X Yang, J Zhou, X Li, L Song Proceedings of the 27th ACM international conference on information and …, 2018 | 326 | 2018 |
| Geniepath: Graph neural networks with adaptive receptive paths Z Liu, C Chen, L Li, J Zhou, X Li, L Song, Y Qi Proceedings of the AAAI conference on artificial intelligence 33 (01), 4424-4431, 2019 | 305 | 2019 |
| Fast differentially private matrix factorization Z Liu, YX Wang, A Smola Proceedings of the 9th ACM Conference on Recommender Systems, 171-178, 2015 | 206 | 2015 |
| Fast Differentially Private Matrix Factorization Z Liu, W Yu-Xiang, A Smola Recsys, 2015 | 206 | 2015 |
| 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 | 108 | 2020 |
| Vertically federated graph neural network for privacy-preserving node classification C Chen, J Zhou, L Zheng, H Wu, L Lyu, J Wu, B Wu, Z Liu, L Wang, ... arXiv preprint arXiv:2005.11903, 2020 | 87 | 2020 |
| 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 |
| Privacy preserving point-of-interest recommendation using decentralized matrix factorization C Chen, Z Liu, P Zhao, J Zhou, X Li Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 78 | 2018 |
| DiFacto - Distributed Factorization Machines M Li, Z Liu, A Smola, YX Wang WSDM, 2016 | 75 | 2016 |
| 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 |
| Uncovering insurance fraud conspiracy with network learning C Liang, Z Liu, B Liu, J Zhou, X Li, S Yang, Y Qi Proceedings of the 42nd international ACM SIGIR conference on research and …, 2019 | 44 | 2019 |
| Privacy-preserving graph neural network for node classification J Zhou, C Chen, L Zheng, X Zheng, B Wu, Z Liu, L Wang arXiv preprint arXiv:2005.11903, 2020 | 38 | 2020 |
| Mixseq: Connecting macroscopic time series forecasting with microscopic time series data Z Zhu, Z Liu, G Jin, Z Zhang, L Chen, J Zhou, J Zhou Advances in Neural Information Processing Systems 34, 12904-12916, 2021 | 17 | 2021 |
| InfDetect: A large scale graph-based fraud detection system for E-commerce insurance C Chen, C Liang, J Lin, L Wang, Z Liu, X Yang, J Zhou, Y Shuang, Y Qi 2019 IEEE International Conference on Big Data (Big Data), 1765-1773, 2019 | 16 | 2019 |
| Hubble: An industrial system for audience expansion in mobile marketing C Zhuang, Z Liu, Z Zhang, Y Tan, Z Wu, Z Liu, J Wei, J Gu, G Zhang, ... Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 15 | 2020 |
| Model-protected multi-task learning J Liang, Z Liu, J Zhou, X Jiang, C Zhang, F Wang IEEE transactions on pattern analysis and machine intelligence 44 (2), 1002-1019, 2020 | 15 | 2020 |
| How much can a retailer sell? Sales forecasting on tmall C Chen, Z Liu, J Zhou, X Li, Y Qi, Y Jiao, X Zhong Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019 | 13 | 2019 |
| A time attention based fraud transaction detection framework L Li, Z Liu, C Chen, YL Zhang, J Zhou, X Li arXiv preprint arXiv:1912.11760, 2019 | 12 | 2019 |
| Graph representation learning for merchant incentive optimization in mobile payment marketing Z Liu, D Wang, Q Yu, Z Zhang, Y Shen, J Ma, W Zhong, J Gu, J Zhou, ... Proceedings of the 28th ACM International Conference on Information and …, 2019 | 12 | 2019 |
| Joint incentive optimization of customer and merchant in mobile payment marketing L Yu, Z Wu, T Cai, Z Liu, Z Zhang, L Gu, X Zeng, J Gu Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15000 …, 2021 | 8 | 2021 |
Alex SmolaBoson AIDirección de correo verificada de smola.org
