Tang, Caizhi

7 publications

ICML 2025 Rethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation Minqin Zhu, Zexu Sun, Ruoxuan Xiong, Anpeng Wu, Baohong Li, Caizhi Tang, Jun Zhou, Fei Wu, Kun Kuang

AAAI 2024 Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations Junpeng Fang, Gongduo Zhang, Qing Cui, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou

ICML 2023 Difference-in-Differences Meets Tree-Based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding Caizhi Tang, Huiyuan Wang, Xinyu Li, Qing Cui, Longfei Li, Jun Zhou

NeurIPS 2023 FAST: A Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation Jia Gu, Caizhi Tang, Han Yan, Qing Cui, Longfei Li, Jun Zhou

NeurIPS 2022 Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding Caizhi Tang, Huiyuan Wang, Xinyu Li, Qing Cui, Ya-Lin Zhang, Feng Zhu, Longfei Li, Jun Zhou, Linbo Jiang

ECML-PKDD 2020 AutoRec: A Comprehensive Platform for Building Effective and Explainable Recommender Models Qing Cui, Qitao Shi, Hao Qian, Caizhi Tang, Xixi Li, Yiming Zhao, Tao Jiang, Longfei Li, Jun Zhou

IJCAI 2019 AntProphet: An Intention Mining System Behind Alipay's Intelligent Customer Service Bot Cen Chen, Xiaolu Zhang, Sheng Ju, Chilin Fu, Caizhi Tang, Jun Zhou, Xiaolong Li