Yiyan Huang

According to our database, Yiyan Huang authored at least 16 papers between 2020 and 2026.

Collaborative distances:

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

2026

Evaluating Uplift Modeling under Structural Biases: Insights into Metric Stability and Model Robustness.

Yuxuan Yang, Dugang Liu, Yiyan Huang

CoRR, March, 2026

Membership Inference for Contrastive Pre-training Models with Text-only PII Queries.

Ruoxi Cheng, Yizhong Ding, Hongyi Zhang, Yiyan Huang

CoRR, March, 2026

A two-stage disentangled and balanced representation learning method for counterfactual regression.

Siyi Wang, Yiyan Huang, Cheuk Hang Leung, Chaoqun Wang, Qi Wu

Inf. Sci., 2026

2025

Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data.

Cheuk Hang Leung, Yiyan Huang, Yijun Li, Qi Wu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

Unveiling the Potential of Robustness in Evaluating Causal Inference Models.

Yiyan Huang, Cheuk Hang Leung, Siyi Wang, Yijun Li, Qi Wu

CoRR, 2024

Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators.

Yiyan Huang, Cheuk Hang Leung, Siyi Wang, Yijun Li, Qi Wu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

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

A Unified Domain Adaptation Framework with Distinctive Divergence Analysis.

Zhiri Yuan, Xixu Hu, Qi Wu, Shumin Ma, Cheuk Hang Leung, Xin Shen, Yiyan Huang

Trans. Mach. Learn. Res., 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

Higher-Order Orthogonal Causal Learning for Treatment Effect.

Yiyan Huang, Cheuk Hang Leung, Xing Yan, Qi Wu

CoRR, 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

Inquisitive Question Generation for High Level Text Comprehension.

Wei-Jen Ko, Te-Yuan Chen, Yiyan Huang, Greg Durrett, Junyi Jessy Li

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020