Ziqi Liu
Ziqi Liu
Ant Group
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Zitiert von
Zitiert von
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
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
Fast differentially private matrix factorization
Z Liu, YX Wang, A Smola
Proceedings of the 9th ACM Conference on Recommender Systems, 171-178, 2015
Fast Differentially Private Matrix Factorization
Z Liu, W Yu-Xiang, A Smola
Recsys, 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
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
DiFacto - Distributed Factorization Machines
M Li, Z Liu, A Smola, YX Wang
WSDM, 2016
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
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
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
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
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
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
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
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
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
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
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
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
Distributed collaborative hashing and its applications in ant financial
C Chen, Z Liu, P Zhao, L Li, J Zhou, X Li
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
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