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Jiecheng Guo
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Journal Articles
- 2024
- [j1]Ruichu Cai
, Weilin Chen
, Zeqin Yang
, Shu Wan
, Chen Zheng
, Xiaoqing Yang, Jiecheng Guo:
Long-term causal effects estimation via latent surrogates representation learning. Neural Networks 176: 106336 (2024)
Conference and Workshop Papers
- 2025
- [c5]Jiaqi Yang
, Enming Liang, Zicheng Su, Zhichao Zou, Peng Zhen, Jiecheng Guo, Wanjing Ma, Kun An:
DFF: Decision-Focused Fine-Tuning for Smarter Predict-Then-Optimize with Limited Data. AAAI 2025: 26868-26876 - 2024
- [c4]Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang:
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation. AAAI 2024: 17175-17183 - [c3]Mengjin Liu, Yuxin Zuo, Yang Luo, Daiqiang Wu, Peng Zhen, Jiecheng Guo, Xiaofeng Gao:
Weather-Conditioned Multi-graph Network for Ride-Hailing Demand Forecasting. ICSOC (2) 2024: 341-356 - [c2]Zhaoxing Yang
, Haiming Jin
, Guiyun Fan
, Min Lu
, Yiran Liu
, Xinlang Yue
, Hao Pan
, Zhe Xu
, Guobin Wu
, Qun Li
, Xiaotong Wang
, Jiecheng Guo
:
Rethinking Order Dispatching in Online Ride-Hailing Platforms. KDD 2024: 3863-3873 - 2020
- [c1]Jixing Xu, Zhenlong Zhu, Jianxin Zhao, Xuanye Liu, Minghui Shan, Jiecheng Guo:
Gemini: A Novel and Universal Heterogeneous Graph Information Fusing Framework for Online Recommendations. KDD 2020: 3356-3365
Informal and Other Publications
- 2025
- [i8]Jiaqi Yang
, Enming Liang, Zicheng Su, Zhichao Zou, Peng Zhen, Jiecheng Guo, Wanjing Ma, Kun An:
DFF: Decision-Focused Fine-tuning for Smarter Predict-then-Optimize with Limited Data. CoRR abs/2501.01874 (2025) - [i7]Jiahong Li, Zeqin Yang, Jiayi Dan, Jixing Xu, Zhichao Zou, Peng Zhen, Jiecheng Guo:
Treatment Effect Estimation for Exponential Family Outcomes using Neural Networks with Targeted Regularization. CoRR abs/2502.07295 (2025) - [i6]Baining Chen, Yiming Zhang, Yuqiao Han, Ruyue Zhang, Ruihuan Du, Zhishuo Zhou, Zhengdan Zhu, Xun Liu, Jiecheng Guo:
The Estimation of Continual Causal Effect for Dataset Shifting Streams. CoRR abs/2504.20471 (2025) - [i5]Ruichu Cai, Junjie Wan, Weilin Chen, Zeqin Yang, Zijian Li, Peng Zhen, Jiecheng Guo:
Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning. CoRR abs/2505.05192 (2025) - 2024
- [i4]Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang:
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation. CoRR abs/2403.14232 (2024) - [i3]Zeqin Yang, Weilin Chen, Ruichu Cai, Yuguang Yan, Zhifeng Hao, Zhipeng Yu, Zhichao Zou, Zhen Peng, Jiecheng Guo:
Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights. CoRR abs/2406.19195 (2024) - 2022
- [i2]Shu Wan
, Chen Zheng
, Zhonggen Sun, Mengfan Xu, Xiaoqing Yang, Hongtu Zhu, Jiecheng Guo:
GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation in Online Marketplace. CoRR abs/2203.10975 (2022) - [i1]Ruichu Cai, Weilin Chen, Zeqin Yang, Shu Wan, Chen Zheng, Xiaoqing Yang, Jiecheng Guo:
Long-term Causal Effects Estimation via Latent Surrogates Representation Learning. CoRR abs/2208.04589 (2022)
Coauthor Index

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