| 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 | 602 | 2021 |
| 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 | 358 | 2018 |
| 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 | 94 | 2022 |
| 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 | 81 | 2022 |
| 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 | 60 | 2020 |
| 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 | 51 | 2019 |
| 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 | 46 | 2023 |
| 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 | 35 | 2019 |
| 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 | 34 | 2018 |
| 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 | 32 | 2020 |
| 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 | 32 | 2019 |
| 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 | 31 | 2020 |
| 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 | 28 | 2019 |
| 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 | 27 | 2023 |
| 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 | 26 | 2019 |
| Federated fine-tuning of large language models under heterogeneous language tasks and client resources J Bai, D Chen, B Qian, L Yao, Y Li arXiv e-prints, arXiv: 2402.11505, 2024 | 22 | 2024 |
| 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 | 21 | 2021 |
| 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 | 16 | 2022 |
| On the convergence of zeroth-order federated tuning for large language models Z Ling, D Chen, L Yao, Y Li, Y Shen Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 15 | 2024 |
| Agentscope: A flexible yet robust multi-agent platform D Gao, Z Li, X Pan, W Kuang, Z Ma, B Qian, F Wei, W Zhang, Y Xie, ... arXiv preprint arXiv:2402.14034, 2024 | 14 | 2024 |
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