Jiecheng Guo

17 papers A* 5B 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Orthogonal Uplift Learning with Permutation-Invariant Representations for Combinatorial Treatments.
CoRR
Xinyan Su, Jiacan Gao, Mingyuan Ma, Xiao Xu, Xinrui Wan, Tianqi Gu, Enyun Yu, Jiecheng Guo, Zhiheng Zhang
2025 B conf
Continual Causal Effect Estimation for Dataset Shifting Streams in Marketing Optimization.
IEEE Big Data
Baining Chen, Yiming Zhang, Yuqiao Han, Ruyue Zhang, Ruihuan Du, Zhishuo Zhou, Zhengdan Zhu, Xun Liu, Jiecheng Guo
2025 A* conf
DFF: Decision-Focused Fine-Tuning for Smarter Predict-Then-Optimize with Limited Data.
AAAI
Jiaqi Yang, Enming Liang, Zicheng Su, Zhichao Zou, Peng Zhen, Jiecheng Guo, Wanjing Ma, Kun An
2025 J jnl
DFF: Decision-Focused Fine-tuning for Smarter Predict-then-Optimize with Limited Data.
CoRR
Jiaqi Yang, Enming Liang, Zicheng Su, Zhichao Zou, Peng Zhen, Jiecheng Guo, Wanjing Ma, Kun An
2025 A* conf
Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning.
IJCAI
Ruichu Cai, Junjie Wan, Weilin Chen, Zeqin Yang, Zijian Li, Peng Zhen, Jiecheng Guo
2025 J jnl
Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning.
CoRR
Ruichu Cai, Junjie Wan, Weilin Chen, Zeqin Yang, Zijian Li, Peng Zhen, Jiecheng Guo
2025 J jnl
The Estimation of Continual Causal Effect for Dataset Shifting Streams.
CoRR
Baining Chen, Yiming Zhang, Yuqiao Han, Ruyue Zhang, Ruihuan Du, Zhishuo Zhou, Zhengdan Zhu, Xun Liu, Jiecheng Guo
2025 J jnl
Treatment Effect Estimation for Exponential Family Outcomes using Neural Networks with Targeted Regularization.
CoRR
Jiahong Li, Zeqin Yang, Jiayi Dan, Jixing Xu, Zhichao Zou, Peng Zhen, Jiecheng Guo
2024 A* conf
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation.
AAAI
Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang
2024 J jnl
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation.
CoRR
Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang
2024 J jnl
Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights.
CoRR
Zeqin Yang, Weilin Chen, Ruichu Cai, Yuguang Yan, Zhifeng Hao, Zhipeng Yu, Zhichao Zou, Zhen Peng, Jiecheng Guo
2024 J jnl
Long-term causal effects estimation via latent surrogates representation learning.
Neural Networks
Ruichu Cai, Weilin Chen, Zeqin Yang, Shu Wan, Chen Zheng, Xiaoqing Yang, Jiecheng Guo
2024 A* conf
Rethinking Order Dispatching in Online Ride-Hailing Platforms.
KDD
Zhaoxing Yang, Haiming Jin, Guiyun Fan, Min Lu, Yiran Liu, Xinlang Yue, Hao Pan, Zhe Xu, Guobin Wu, Qun Li, Xiaotong Wang, Jiecheng Guo
2024 — conf
Weather-Conditioned Multi-graph Network for Ride-Hailing Demand Forecasting.
ICSOC (2)
Mengjin Liu, Yuxin Zuo, Yang Luo, Daiqiang Wu, Peng Zhen, Jiecheng Guo, Xiaofeng Gao
2022 J jnl
GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation in Online Marketplace.
CoRR
Shu Wan, Chen Zheng, Zhonggen Sun, Mengfan Xu, Xiaoqing Yang, Hongtu Zhu, Jiecheng Guo
2022 J jnl
Long-term Causal Effects Estimation via Latent Surrogates Representation Learning.
CoRR
Ruichu Cai, Weilin Chen, Zeqin Yang, Shu Wan, Chen Zheng, Xiaoqing Yang, Jiecheng Guo
2020 A* conf
Gemini: A Novel and Universal Heterogeneous Graph Information Fusing Framework for Online Recommendations.
KDD
Jixing Xu, Zhenlong Zhu, Jianxin Zhao, Xuanye Liu, Minghui Shan, Jiecheng Guo