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)

Weather-Conditioned Multi-graph Network for Ride-Hailing Demand Forecasting. - Mengjin Liu; Yuxin Zuo; Yang Luo; Daiqiang Wu; Peng Zhen 001; Jiecheng Guo; Xiaofeng Gao 001 (ICSOC (2), 2024)

DFF: Decision-Focused Fine-Tuning for Smarter Predict-Then-Optimize with Limited Data. - Jiaqi Yang; Enming Liang; Zicheng Su; Zhichao Zou; Peng Zhen 001; Jiecheng Guo; Wanjing Ma; Kun An (AAAI, 2025)

Treatment Effect Estimation for Exponential Family Outcomes using Neural Networks with Targeted Regularization. - Jiahong Li; Zeqin Yang; Jiayi Dan; Jixing Xu; Zhichao Zou; Peng Zhen 001; Jiecheng Guo (CoRR, 2025)

Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning. - Ruichu Cai; Junjie Wan; Weilin Chen 001; Zeqin Yang; Zijian Li 001; Peng Zhen 001; Jiecheng Guo (CoRR, 2025)