Chunyuan Zheng

According to our database, Chunyuan Zheng authored at least 24 papers between 2022 and 2025.

Collaborative distances:

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

2025

Learning Counterfactual Outcomes Under Rank Preservation.

Peng Wu, Haoxuan Li, Chunyuan Zheng, Yan Zeng, Jiawei Chen, Yang Liu, Ruocheng Guo, Kun Zhang

CoRR, February, 2025

CAP: Causal Air Quality Index Prediction Under Interference with Unmeasured Confounding.

Huayi Yang, Chunyuan Zheng, Guorui Liao, Shanshan Huang, Jun Liao, Zhili Gong, Haoxuan Li, Li Liu

Proceedings of the ACM on Web Conference 2025, 2025

Adaptive Structure Learning with Partial Parameter Sharing for Post-Click Conversion Rate Prediction.

Chunyuan Zheng, Hang Pan, Yang Zhang, Haoxuan Li

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

A Two-Stage Pretraining-Finetuning Framework for Treatment Effect Estimation with Unmeasured Confounding.

Chuan Zhou, Yaxuan Li, Chunyuan Zheng, Haiteng Zhang, Min Zhang, Haoxuan Li, Mingming Gong

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Classifying Treatment Responders: Bounds and Algorithms.

Anpeng Wu, Haoxuan Li, Chunyuan Zheng, Kun Kuang, Kun Zhang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Visual Representation Learning through Causal Intervention for Controllable Image Editing.

Shanshan Huang, Haoxuan Li, Chunyuan Zheng, Lei Wang, Guorui Liao, Zhili Gong, Huayi Yang, Li Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Text-Driven Fashion Image Editing with Compositional Concept Learning and Counterfactual Abduction.

Shanshan Huang, Haoxuan Li, Chunyuan Zheng, Mingyuan Ge, Wei Gao, Lei Wang, Li Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

HiPoser: 3D Human Pose Estimation with Hierarchical Shared Learning at Parts-Level Using Inertial Measurement Units.

Guorui Liao, Chunyuan Zheng, Li Cheng, Haoyu Xie, Shanshan Huang, Jun Liao, Haoxuan Li, Li Liu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Debiased Recommendation with Noisy Feedback.

Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou

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

Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering.

Haoxuan Li, Chunyuan Zheng, Shuyi Wang, Kunhan Wu, Eric Hao Wang, Peng Wu, Zhi Geng, Xu Chen, Xiao-Hua Zhou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Debiased Collaborative Filtering with Kernel-Based Causal Balancing.

Haoxuan Li, Chunyuan Zheng, Yanghao Xiao, Peng Wu, Zhi Geng, Xu Chen, Peng Cui

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference.

Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He

Proceedings of the Twelfth International Conference on Learning Representations, 2024

UMVUE-DR: Uniformly Minimum Variance Unbiased Doubly Robust Learning with Reduced Bias and Variance for Debiased Recommendation.

Chunyuan Zheng, Taojun Hu, Chuan Zhou, Xiao-Hua Zhou

Proceedings of the IEEE International Conference on Data Mining, 2024

Uncovering the Propensity Identification Problem in Debiased Recommendations.

Honglei Zhang, Shuyi Wang, Haoxuan Li, Chunyuan Zheng, Xu Chen, Li Liu, Shanshan Luo, Peng Wu

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations.

Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu

Proceedings of the ACM Web Conference 2023, 2023

ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction.

Haoxuan Li, Taojun Hu, Zetong Xiong, Chunyuan Zheng, Fuli Feng, Xiangnan He, Xiao-Hua Zhou

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach.

Haoxuan Li, Kunhan Wu, Chunyuan Zheng, Yanghao Xiao, Hao Wang, Zhi Geng, Fuli Feng, Xiangnan He, Peng Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Pareto Invariant Representation Learning for Multimedia Recommendation.

Shanshan Huang, Haoxuan Li, Qingsong Li, Chunyuan Zheng, Li Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Who Should Be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for Recommendation.

Haoxuan Li, Chunyuan Zheng, Peng Wu, Kun Kuang, Yue Liu, Peng Cui

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Trustworthy Policy Learning under the Counterfactual No-Harm Criterion.

Haoxuan Li, Chunyuan Zheng, Yixiao Cao, Zhi Geng, Yue Liu, Peng Wu

Proceedings of the International Conference on Machine Learning, 2023

Propensity Matters: Measuring and Enhancing Balancing for Recommendation.

Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu, Peng Cui

Proceedings of the International Conference on Machine Learning, 2023

StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random.

Haoxuan Li, Chunyuan Zheng, Peng Wu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations.

Haoxuan Li, Yan Lyu, Chunyuan Zheng, Peng Wu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random.

Haoxuan Li, Chunyuan Zheng, Xiao-Hua Zhou, Peng Wu

CoRR, 2022