Huang, Zhixiang

6 publications

ECML-PKDD 2024 ADR: An Adversarial Approach to Learn Decomposed Representations for Causal Inference Xiangyu Zheng, Guogang Tian, Sen Wang, Zhixiang Huang

TMLR 2024 DIGNet: Learning Decomposed Patterns in Representation Balancing for Treatment Effect Estimation Yiyan Huang, Wang Siyi, Cheuk Hang Leung, Qi Wu, Dongdong Wang, Zhixiang Huang

AAAI 2024 The Causal Impact of Credit Lines on Spending Distributions Yijun Li, Cheuk Hang Leung, Xiangqian Sun, Chaoqun Wang, Yiyan Huang, Xing Yan, Qi Wu, Dongdong Wang, Zhixiang Huang

IJCAI 2023 DeLELSTM: Decomposition-Based Linear Explainable LSTM to Capture Instantaneous and Long-Term Effects in Time Series Chaoqun Wang, Yijun Li, Xiangqian Sun, Qi Wu, Dongdong Wang, Zhixiang Huang

AISTATS 2023 Towards Balanced Representation Learning for Credit Policy Evaluation Yiyan Huang, Cheuk Hang Leung, Shumin Ma, Zhiri Yuan, Qi Wu, Siyi Wang, Dongdong Wang, Zhixiang Huang

AAAI 2021 The Causal Learning of Retail Delinquency Yiyan Huang, Cheuk Hang Leung, Xing Yan, Qi Wu, Nanbo Peng, Dongdong Wang, Zhixiang Huang