Caizhi Tang

2024

doi dblp
Combining Incomplete Observational and Randomized Data for Heterogeneous Treatment Effects.
Dong Yao|Caizhi Tang|Qing Cui|Longfei Li
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
doi dblp
Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding.
Ya-Lin Zhang|Caizhi Tang|Lu Yu|Jun Zhou|Longfei Li|Qing Cui|Fangfang Fan|Linbo Jiang|Xiaosong Zhao
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024
doi dblp
Invariant Graph Learning for Causal Effect Estimation.
Yongduo Sui|Caizhi Tang|Zhixuan Chu|Junfeng Fang|Yuan Gao|Qing Cui|Longfei Li|Jun Zhou|Xiang Wang
Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024

2023

doi dblp
Alleviating Matching Bias in Marketing Recommendations.
Junpeng Fang|Qing Cui|Gongduo Zhang|Caizhi Tang|Lihong Gu|Longfei Li|Jinjie Gu|Jun Zhou|Fei Wu
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
doi dblp
DGBCT: A Scalable Distributed Gradient Boosting Causal Tree at Alipay.
Jun Zhou|Caizhi Tang|Qing Cui|Yi Ding|Longfei Li|Fei Wu
Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

2022

doi dblp
Semi-Supervised Learning with Data Augmentation for Tabular Data.
Jun-Peng Fang|Caizhi Tang|Qing Cui|Feng Zhu|Longfei Li|Jun Zhou|Wei Zhu
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022