Chunyuan Zheng

Orcid: 0000-0002-0306-7310

Affiliations:

Peking University, Beijing, China
University of California, San Diego, CA, USA

According to our database¹, Chunyuan Zheng authored at least 36 papers between 2022 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Batch-Adaptive Doubly Robust Learning for Debiasing Post-Click Conversion Rate Prediction Under Sparse Data.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., March, 2026

Deep Autocorrelation Modeling for Time-Series Forecasting: Progress and Prospects.

[BibT_eX]

[DOI]

CoRR, March, 2026

CausalRM: Causal-Theoretic Reward Modeling for RLHF from Observational User Feedbacks.

[BibT_eX]

[DOI]

CoRR, March, 2026

Rethinking Personalization in Large Language Models at the Token Level.

[BibT_eX]

[DOI]

CoRR, March, 2026

Unified Minimax Optimization Framework for Propensity Score Estimation in Debiased Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Uplift Modeling with Delayed Feedback: Identifiability and Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Detecting Unobserved Confounders: A Kernelized Regression Approach.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Learning Counterfactual Outcomes Under Rank Preservation.

[BibT_eX]

[DOI]

CoRR, February, 2025

A Partial Initialization Strategy to Mitigate the Overfitting Problem in CATE Estimation with Hidden Confounding.

[BibT_eX]

[DOI]

CoRR, January, 2025

CDSF: A curvature-driven semi-supervised framework with dynamic receptive fields for fine-grained vehicle component segmentation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2025

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

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Classifying Treatment Responders: Bounds and Algorithms.

[BibT_eX]

[DOI]

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

Mitigating Data Imbalance in Time Series Classification Based on Counterfactual Minority Samples Augmentation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Visual Representation Learning through Causal Intervention for Controllable Image Editing.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2024

Debiased Recommendation with Noisy Feedback.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Debiased Collaborative Filtering with Kernel-Based Causal Balancing.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2024

Uncovering the Propensity Identification Problem in Debiased Recommendations.

[BibT_eX]

[DOI]

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

2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Trustworthy Policy Learning under the Counterfactual No-Harm Criterion.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Propensity Matters: Measuring and Enhancing Balancing for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Chunyuan Zheng

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...