Dongdong Wang

According to our database, Dongdong Wang authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Deep Into the Domain Shift: Transfer Learning Through Dependence Regularization.

Shumin Ma, Zhiri Yuan, Qi Wu, Yiyan Huang, Xixu Hu, Cheuk Hang Leung, Dongdong Wang, Zhixiang Huang

IEEE Trans. Neural Networks Learn. Syst., October, 2024

DIGNet: Learning Decomposed Patterns in Representation Balancing for Treatment Effect Estimation.

Yiyan Huang, Siyi Wang, Cheuk Hang Leung, Qi Wu, Dongdong Wang, Zhixiang Huang

Trans. Mach. Learn. Res., 2024

UTBoost: Gradient Boosted Decision Trees for Uplift Modeling.

Junjie Gao, Xiangyu Zheng, Dongdong Wang, Zhixiang Huang, Bangqi Zheng

Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

UTBoost: A Tree-boosting based System for Uplift Modeling.

Junjie Gao, Xiangyu Zheng, Dongdong Wang, Zhixiang Huang, Bangqi Zheng, Kai Yang

CoRR, 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

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information.

Yiyan Huang, Cheuk Hang Leung, Shumin Ma, Qi Wu, Dongdong Wang, Zhixiang Huang

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Robust Causal Learning for the Estimation of Average Treatment Effects.

Yiyan Huang, Cheuk Hang Leung, Qi Wu, Xing Yan, Shumin Ma, Zhiri Yuan, Dongdong Wang, Zhixiang Huang

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

The Causal Learning of Retail Delinquency.

Yiyan Huang, Cheuk Hang Leung, Xing Yan, Qi Wu, Nanbo Peng, Dongdong Wang, Zhixiang Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Robust and Secure Image Fingerprinting Learned by Neural Network.

Yuenan Li, Dongdong Wang, Linlin Tang

IEEE Trans. Circuits Syst. Video Technol., 2020