| Counterfactual Prediction for Bundle Treatment H Zou, P Cui, B Li, Z Shen, J Ma, H Yang, Y He Advances in Neural Information Processing Systems 33, 2020 | 48 | 2020 |
| Physical co-design of flow and control layers for flow-based microfluidic biochips Q Wang, H Zou, H Yao, TY Ho, R Wille, Y Cai IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2017 | 31 | 2017 |
| CausPref: Causal Preference Learning for Out-of-Distribution Recommendation Y He, Z Wang, P Cui, H Zou, Y Zhang, Q Cui, Y Jiang Proceedings of the ACM Web Conference 2022, 410-421, 2022 | 29 | 2022 |
| Gradient norm aware minimization seeks first-order flatness and improves generalization X Zhang, R Xu, H Yu, H Zou, P Cui Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 18 | 2023 |
| Focused context balancing for robust offline policy evaluation H Zou, K Kuang, B Chen, P Chen, P Cui Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 18 | 2019 |
| Data-driven variable decomposition for treatment effect estimation K Kuang, P Cui, H Zou, B Li, J Tao, F Wu, S Yang IEEE Transactions on Knowledge and Data Engineering 34 (5), 2120-2134, 2020 | 17 | 2020 |
| Learning Stable Graphs from Multiple Environments with Selection Bias Y He, P Cui, J Ma, H Zou, X Wang, H Yang, PS Yu Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 10 | 2020 |
| Counterfactual Prediction for Outcome-Oriented Treatments H Zou, B Li, J Han, S Chen, X Ding, P Cui International Conference on Machine Learning, 27693-27706, 2022 | 6 | 2022 |
| Offline Policy Evaluation in Large Action Spaces via Outcome-Oriented Action Grouping J Peng, H Zou, J Liu, S Li, Y Jiang, J Pei, P Cui Proceedings of the ACM Web Conference 2023, 1220-1230, 2023 | 5 | 2023 |
| Causation-Driven Visualizations for Insurance Recommendation Z Liu, C Zang, K Kuang, H Zou, H Zheng, P Cui 2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW …, 2019 | 3 | 2019 |
| Factual observation based heterogeneity learning for counterfactual prediction H Zou, H Wang, R Xu, B Li, J Pei, YJ Jian, P Cui Conference on Causal Learning and Reasoning, 350-370, 2023 | 2 | 2023 |
| Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications J Liu, J Wu, T Wang, H Zou, B Li, P Cui arXiv preprint arXiv:2311.05054, 2023 | | 2023 |
| Exploring and Exploiting Data Heterogeneity in Recommendation Z Wang, J Liu, H Zou, X Zhang, Y He, D Liang, P Cui arXiv preprint arXiv:2305.15431, 2023 | | 2023 |
Renzhe XuPhD student at Department of Computer Science, Tsinghua UniversityVerified email at mails.tsinghua.edu.cn
