Li, Haoxuan
55 publications
NeurIPS
2025
Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification
NeurIPS
2025
Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning
NeurIPS
2025
Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference
NeurIPS
2025
IPAD: Inverse Prompt for AI Detection - A Robust and Interpretable LLM-Generated Text Detector
NeurIPS
2025
Iterative Missing Data Imputation with Model Form Adaptation and Non-Missing Feature Supervision
CVPR
2025
Text-Driven Fashion Image Editing with Compositional Concept Learning and Counterfactual Abduction
NeurIPS
2024
A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs
NeurIPS
2024
Addressing Hidden Confounding with Heterogeneous Observational Datasets for Recommendation
AAAI
2024
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation
NeurIPSW
2024
Estimating Treatment Effect Across Heterogeneous Data Sources: An Instrumental Variable Approach
NeurIPSW
2024
Invariant Spatiotemporal Representation Learning for Cross-Patient Seizure Classification
ICML
2024
Learning Shadow Variable Representation for Treatment Effect Estimation Under Collider Bias
NeurIPS
2024
Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective
NeurIPS
2023
Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach