Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation. - Minqin Zhu; Anpeng Wu; Haoxuan Li 001; Ruoxuan Xiong; Bo Li 064; Xiaoqing Yang; Xuan Qin; Peng Zhen 001; Jiecheng Guo; Fei Wu 001; Kun Kuang (AAAI, 2024)

A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective. - Baohong Li; Haoxuan Li 001; Anpeng Wu; Minqin Zhu; Shiyuan Peng; Qingyu Cao; Kun Kuang (ICML, 2024)

Causal Inference with Complex Treatments: A Survey. - Yingrong Wang; Haoxuan Li 001; Minqin Zhu; Anpeng Wu; Ruoxuan Xiong; Fei Wu 001; Kun Kuang (CoRR, 2024)

IntOPE: Off-Policy Evaluation in the Presence of Interference. - Yuqi Bai; Ziyu Zhao 001; Minqin Zhu; Kun Kuang (CoRR, 2024)

Causality for Large Language Models. - Anpeng Wu; Kun Kuang; Minqin Zhu; Yingrong Wang; Yujia Zheng 001; Kairong Han; Baohong Li; Guangyi Chen 002; Fei Wu 001; Kun Zhang 001 (CoRR, 2024)

Robust Uplift Modeling with Large-Scale Contexts for Real-time Marketing. - Zexu Sun; Qiyu Han; Minqin Zhu; Hao Gong; Dugang Liu; Chen Ma 001 (KDD (1), 2025)

Learning double balancing representation for heterogeneous dose-response curve estimation. - Minqin Zhu; Anpeng Wu; Haoxuan Li 001; Ruoxuan Xiong; Bo Li 064; Fei Wu 001; Kun Kuang (Neural Networks, 2025)