Jiecheng Guo

According to our database, Jiecheng Guo authored at least 13 papers between 2020 and 2026.

Collaborative distances:

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

2026

Orthogonal Uplift Learning with Permutation-Invariant Representations for Combinatorial Treatments.

Xinyan Su, Jiacan Gao, Mingyuan Ma, Xiao Xu, Xinrui Wan, Tianqi Gu, Enyun Yu, Jiecheng Guo, Zhiheng Zhang

CoRR, February, 2026

2025

The Estimation of Continual Causal Effect for Dataset Shifting Streams.

Baining Chen, Yiming Zhang, Yuqiao Han, Ruyue Zhang, Ruihuan Du, Zhishuo Zhou, Zhengdan Zhu, Xun Liu, Jiecheng Guo

CoRR, April, 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, Jiecheng Guo

CoRR, February, 2025

Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning.

Ruichu Cai, Junjie Wan, Weilin Chen, Zeqin Yang, Zijian Li, Peng Zhen, Jiecheng Guo

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Continual Causal Effect Estimation for Dataset Shifting Streams in Marketing Optimization.

Baining Chen, Yiming Zhang, Yuqiao Han, Ruyue Zhang, Ruihuan Du, Zhishuo Zhou, Zhengdan Zhu, Xun Liu, Jiecheng Guo

Proceedings of the IEEE International Conference on Big Data, 2025

DFF: Decision-Focused Fine-Tuning for Smarter Predict-Then-Optimize with Limited Data.

Jiaqi Yang, Enming Liang, Zicheng Su, Zhichao Zou, Peng Zhen, Jiecheng Guo, Wanjing Ma, Kun An

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

2024

Long-term causal effects estimation via latent surrogates representation learning.

Ruichu Cai, Weilin Chen, Zeqin Yang, Shu Wan, Chen Zheng, Xiaoqing Yang, Jiecheng Guo

Neural Networks, 2024

Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights.

Zeqin Yang, Weilin Chen, Ruichu Cai, Yuguang Yan, Zhifeng Hao, Zhipeng Yu, Zhichao Zou, Zhen Peng, Jiecheng Guo

CoRR, 2024

Rethinking Order Dispatching in Online Ride-Hailing Platforms.

Zhaoxing Yang, Haiming Jin, Guiyun Fan, Min Lu, Yiran Liu, Xinlang Yue, Hao Pan, Zhe Xu, Guobin Wu, Qun Li, Xiaotong Wang, Jiecheng Guo

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Weather-Conditioned Multi-graph Network for Ride-Hailing Demand Forecasting.

Mengjin Liu, Yuxin Zuo, Yang Luo, Daiqiang Wu, Peng Zhen, Jiecheng Guo, Xiaofeng Gao

Proceedings of the Service-Oriented Computing - 22nd International Conference, 2024

Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation.

Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang

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

2022

GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation in Online Marketplace.

Shu Wan, Chen Zheng, Zhonggen Sun, Mengfan Xu, Xiaoqing Yang, Hongtu Zhu, Jiecheng Guo

CoRR, 2022

2020

Gemini: A Novel and Universal Heterogeneous Graph Information Fusing Framework for Online Recommendations.

Jixing Xu, Zhenlong Zhu, Jianxin Zhao, Xuanye Liu, Minghui Shan, Jiecheng Guo

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020