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 | 393 | 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 | 365 | 2019 |
Fast Differentially Private Matrix Factorization Z Liu, W Yu-Xiang, A Smola Recsys, 2015 | 219 | 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 | 138 | 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 | 128 | 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 | 95 | 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 | 91 | 2018 |
DiFacto - Distributed Factorization Machines M Li, Z Liu, A Smola, YX Wang WSDM, 2016 | 74 | 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 | 54 | 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 | 51 | 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 | 45 | 2020 |
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 | 22 | 2019 |
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 | 21 | 2021 |
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 | 20 | 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 | 19 | 2020 |
Can Small Language Models be Good Reasoners for Sequential Recommendation? Y Wang, C Tian, B Hu, Y Yu, Z Liu, Z Zhang, J Zhou, L Pang, X Wang Proceedings of the ACM on Web Conference 2024, 3876-3887, 2024 | 17 | 2024 |
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 | 17 | 2019 |
Double-layer calcium phosphate sandwiched siloxane composite coating to enhance corrosion resistance and biocompatibility of magnesium alloys for bone tissue engineering Z Liu, T Wang, Y Xu, C Liang, G Li, Y Guo, Z Zhang, J Lian, L Ren Progress in Organic Coatings 177, 107417, 2023 | 15 | 2023 |
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 | 15 | 2019 |
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 | 14 | 2019 |