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Liuyi Yao
Liuyi Yao
Alibaba Group
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Title
Cited by
Cited by
Year
A survey on causal inference
L Yao, Z Chu, S Li, Y Li, J Gao, A Zhang
ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (5), 1-46, 2021
4092021
Representation learning for treatment effect estimation from observational data
L Yao, S Li, Y Li, M Huai, J Gao, A Zhang
Advances in neural information processing systems 31, 2018
2992018
Federatedscope: A flexible federated learning platform for heterogeneity
Y Xie, Z Wang, D Gao, D Chen, L Yao, W Kuang, Y Li, B Ding, J Zhou
arXiv preprint arXiv:2204.05011, 2022
632022
Federatedscope-gnn: Towards a unified, comprehensive and efficient package for federated graph learning
Z Wang, W Kuang, Y Xie, L Yao, Y Li, B Ding, J Zhou
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
472022
Recurrent imputation for multivariate time series with missing values
Q Suo, L Yao, G Xun, J Sun, A Zhang
2019 IEEE international conference on healthcare informatics (ICHI), 1-3, 2019
412019
Causal inference meets machine learning
P Cui, Z Shen, S Li, L Yao, Y Li, Z Chu, J Gao
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
382020
Malicious attacks against deep reinforcement learning interpretations
M Huai, J Sun, R Cai, L Yao, A Zhang
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
302020
Online truth discovery on time series data
L Yao, L Su, Q Li, Y Li, F Ma, J Gao, A Zhang
Proceedings of the 2018 siam international conference on data mining, 162-170, 2018
302018
On the estimation of treatment effect with text covariates
L Yao, S Li, Y Li, H Xue, J Gao, A Zhang
International Joint Conference on Artificial Intelligence, 2019
262019
EC-GAN: Inferring brain effective connectivity via generative adversarial networks
J Liu, J Ji, G Xun, L Yao, M Huai, A Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4852-4859, 2020
252020
ACE: Adaptively similarity-preserved representation learning for individual treatment effect estimation
L Yao, S Li, Y Li, M Huai, J Gao, A Zhang
2019 IEEE International Conference on Data Mining (ICDM), 1432-1437, 2019
242019
Dtec: Distance transformation based early time series classification
L Yao, Y Li, Y Li, H Zhang, M Huai, J Gao, A Zhang
Proceedings of the 2019 SIAM International Conference on Data Mining, 486-494, 2019
242019
Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm.
M Huai, H Xue, C Miao, L Yao, L Su, C Chen, A Zhang
IJCAI, 2535-2541, 2019
232019
Debiasing learning based cross-domain recommendation
S Li, L Yao, S Mu, WX Zhao, Y Li, T Guo, B Ding, JR Wen
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
152021
Revisiting personalized federated learning: Robustness against backdoor attacks
Z Qin, L Yao, D Chen, Y Li, B Ding, M Cheng
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
142023
Efficient personalized federated learning via sparse model-adaptation
D Chen, L Yao, D Gao, B Ding, Y Li
International Conference on Machine Learning, 5234-5256, 2023
142023
Federatedscope: A comprehensive and flexible federated learning platform via message passing
Y Xie, Z Wang, D Chen, D Gao, L Yao, W Kuang, Y Li, B Ding, J Zhou
arXiv preprint arXiv:2204.05011 11, 2022
132022
Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Tonglei Guo, Bolin Ding, and Ji-Rong Wen. 2021. Debiasing Learning based Cross-domain Recommendation
S Li, L Yao
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 0
13
Towards automating model explanations with certified robustness guarantees
M Huai, J Liu, C Miao, L Yao, A Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6935-6943, 2022
112022
Concept-level model interpretation from the causal aspect
L Yao, Y Li, S Li, J Liu, M Huai, A Zhang, J Gao
IEEE Transactions on Knowledge and Data Engineering, 2022
82022
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