Haoxuan Li

Affiliations

Peking University

papers

170

total citations

papers (25)

OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain

NEURIPS 2025arXiv

citations

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

ICLR 2024arXiv

citations

Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation

AAAI 2024arXiv

citations

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

ICLR 2025

citations

On the Maximal Local Disparity of Fairness-Aware Classifiers

ICML 2024arXiv

citations

Learning Counterfactual Outcomes Under Rank Preservation

NEURIPS 2025arXiv

citations

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

AAAI 2025arXiv

citations

MeshPad: Interactive Sketch-Conditioned Artist-Reminiscent Mesh Generation and Editing

ICCV 2025arXiv

citations

Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification

NEURIPS 2025arXiv

citations

Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness

ICML 2025

citations

Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning

NEURIPS 2025arXiv

citations

Curious Causality-Seeking Agents Learn Meta Causal World

NEURIPS 2025arXiv

citations

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

NEURIPS 2023

citations

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

ICML 2024

citations

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

CVPR 2025

citations

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

ICML 2024

citations

Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias

ICML 2024

citations

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

ICML 2024

citations

IPAD: Inverse Prompt for AI Detection - A Robust and Interpretable LLM-Generated Text Detector

NEURIPS 2025arXiv

citations

Visual Representation Learning through Causal Intervention for Controllable Image Editing

CVPR 2025

citations

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

AAAI 2025

citations

Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach

NEURIPS 2023

citations

Haoxuan Li

Affiliations

papers (25)

Optimal Transport for Treatment Effect Estimation

SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors

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

OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain

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

Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation

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

On the Maximal Local Disparity of Fairness-Aware Classifiers

Learning Counterfactual Outcomes Under Rank Preservation

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

MeshPad: Interactive Sketch-Conditioned Artist-Reminiscent Mesh Generation and Editing

Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification

Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness

Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning

Curious Causality-Seeking Agents Learn Meta Causal World

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

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

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

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

Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias

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

IPAD: Inverse Prompt for AI Detection - A Robust and Interpretable LLM-Generated Text Detector

Visual Representation Learning through Causal Intervention for Controllable Image Editing

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

Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach

papers (25)

Optimal Transport for Treatment Effect Estimation

SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors

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

OLinear: A Linear Model for Time Series Forecasting in Orthogonally Transformed Domain

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

Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation

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

On the Maximal Local Disparity of Fairness-Aware Classifiers

Learning Counterfactual Outcomes Under Rank Preservation

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

MeshPad: Interactive Sketch-Conditioned Artist-Reminiscent Mesh Generation and Editing

Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification

Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness

Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning

Curious Causality-Seeking Agents Learn Meta Causal World

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

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

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

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

Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias

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

IPAD: Inverse Prompt for AI Detection - A Robust and Interpretable LLM-Generated Text Detector

Visual Representation Learning through Causal Intervention for Controllable Image Editing

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

Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach