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Guibin Jiang
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2020 – today
- 2024
- [c3]Hao Zhou, Rongxiao Huang, Shaoming Li, Guibin Jiang, Jiaqi Zheng, Bing Cheng, Wei Lin:
Decision Focused Causal Learning for Direct Counterfactual Marketing Optimization. KDD 2024: 6368-6379 - [c2]Hao Zhou, Kun Sun, Shaoming Li, Yangfeng Fan, Guibin Jiang, Jiaqi Zheng, Tao Li:
STATE: A Robust ATE Estimator of Heavy-Tailed Metrics for Variance Reduction in Online Controlled Experiments. KDD 2024: 6380-6389 - [i3]Hao Zhou, Rongxiao Huang, Shaoming Li, Guibin Jiang, Jiaqi Zheng, Bing Cheng, Wei Lin:
Decision Focused Causal Learning for Direct Counterfactual Marketing Optimization. CoRR abs/2407.13664 (2024) - [i2]Hao Zhou, Kun Sun, Shaoming Li, Yangfeng Fan, Guibin Jiang, Jiaqi Zheng, Tao Li:
STATE: A Robust ATE Estimator of Heavy-Tailed Metrics for Variance Reduction in Online Controlled Experiments. CoRR abs/2407.16337 (2024) - 2023
- [c1]Hao Zhou, Shaoming Li, Guibin Jiang, Jiaqi Zheng, Dong Wang:
Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing. AAAI 2023: 5446-5454 - 2022
- [i1]Hao Zhou, Shaoming Li, Guibin Jiang, Jiaqi Zheng, Dong Wang:
Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing. CoRR abs/2211.15728 (2022) - 2020
- [j1]Xiao Han, Hanchen Liu, Zezhong Zhang, Wenlan Yang, Chunyan Wu, Xueying Liu, Fang Zhang, Baofa Sun, Yongliang Zhao, Guibin Jiang, Yun-Gui Yang, Wenjun Ding:
Epitranscriptomic 5-Methylcytosine Profile in PM2.5-induced Mouse Pulmonary Fibrosis. Genom. Proteom. Bioinform. 18(1): 41-51 (2020)
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last updated on 2024-10-01 21:40 CEST by the dblp team
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