Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

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

[BibT_eX]

[DOI]

Chuan Zhou

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

Empowering LLMs with Logical Reasoning: A Comprehensive Survey.

[BibT_eX]

[DOI]

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

Optimal Transport for Time Series Imputation.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

FreDF: Learning to Forecast in the Frequency Domain.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 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

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

[BibT_eX]

[DOI]

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

2024

FSMLP: Modelling Channel Dependencies With Simplex Theory Based Multi-Layer Perceptions In Frequency Domain.

[BibT_eX]

[DOI]

CoRR, 2024

Proactive Recommendation in Social Networks: Steering User Interest via Neighbor Influence.

[BibT_eX]

[DOI]

CoRR, 2024

Causal Inference with Complex Treatments: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

Proximity Matters: Local Proximity Preserved Balancing for Treatment Effect Estimation.

[BibT_eX]

[DOI]

CoRR, 2024

Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient Flow.

[BibT_eX]

[DOI]

CoRR, 2024

Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation.

[BibT_eX]

[DOI]

Abudukelimu Wuerkaixi

Xin Zhou

Zhiqi Shen

Yidong Li

CoRR, 2024

Attaining Human's Desirable Outcomes in Human-AI Interaction via Structural Causal Games.

[BibT_eX]

[DOI]

CoRR, 2024

Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects.

[BibT_eX]

[DOI]

CoRR, 2024

FreDF: Learning to Forecast in Frequency Domain.

[BibT_eX]

[DOI]

CoRR, 2024

TransFR: Transferable Federated Recommendation with Pre-trained Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Understanding Extrapolation: a Causal Lens.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Debiased Recommendation with Noisy Feedback.

[BibT_eX]

[DOI]

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

Your Neighbor Matters: Towards Fair Decisions Under Networked Interference.

[BibT_eX]

[DOI]

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

Learning Causal Relations from Subsampled Time Series with Two Time-Slices.

[BibT_eX]

[DOI]

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

Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias.

[BibT_eX]

[DOI]

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

A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective.

[BibT_eX]

[DOI]

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

On the Maximal Local Disparity of Fairness-Aware Classifiers.

[BibT_eX]

[DOI]

Jinqiu Jin

Haoxuan Li

Fuli Feng

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

MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 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

Uncovering the Propensity Identification Problem in Debiased Recommendations.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2023

Hierarchical Topological Ordering with Conditional Independence Test for Limited Time Series.

[BibT_eX]

[DOI]

CoRR, 2023

ConvFormer: Revisiting Transformer for Sequential User Modeling.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Causal Recommendation: Progresses and Future Directions.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Optimal Transport for Treatment Effect Estimation.

[BibT_eX]

[DOI]

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

Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization 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

CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Multiple Robust Learning for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Causal Analysis Framework for Recommendation.

[BibT_eX]

[DOI]

CoRR, 2022

A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Haoxuan Li

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