← Authors

Haoxuan Li

45 papers · 2022–2026 · 10 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (60) 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (8) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (9) 🀝 Dynamic Duo (12) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (12) πŸ† Keyword Champion (3) πŸ’Ž Century Club (41) πŸ—ƒοΈ Keyword Collector (144) ⚑ Prolific Year (8) πŸ”₯ Unstoppable (5) ❓ The Questioner

Conferences

ICML (12) ICLR (8) NIPS (8) AAAI (7) CVPR (3) EMNLP (2) IJCAI (2) EACL (1) ICCV (1) NAACL (1)

Top co-authors

Chunyuan Zheng (13) Peng Wu (11) Zhi Geng (7) Hao Wang (6) Xu Chen (5) Zhichao Chen (5) Anpeng Wu (5) Kun Kuang (5) Kun Zhang (5) Fuli Feng (4)

Keywords

causal inference (12) recommender system (4) recommendation system (4) domain adaptation (3) propensity score (3) diffusion model (3) spurious correlation (3) selection bia (2) hidden confounding (2) counterfactual reasoning (2) counterfactual regression (2) hierarchical learning (1) multi-task learning (1) human activity recognition (1) causal reasoning (1) benchmark evaluation (1) transfer learning (1) sentiment classification (1) domain generalization (1) contrastive learning (1)

Papers

TransFR: Transferable Federated Recommendation with Adapter Tuning on Pre-trained Language Models AAAI 2026
Semantics-Preserving Adversarial Attacks on Event-Driven Stock Prediction Models AAAI 2026
What’s Missing in Vision-Language Models? Probing Their Struggles with Causal Order Reasoning EACL 2026
Uplift Modeling with Delayed Feedback: Identifiability and Algorithms AAAI 2026
Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models ICLR 2025
Active Treatment Effect Estimation via Limited Samples ICML 2025
Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning ICML 2025
HiPoser: 3D Human Pose Estimation with Hierarchical Shared Learning at Parts-Level Using Inertial Measurement Units AAAI 2025
Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition AAAI 2025
CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds NAACL 2025
Text-Driven Fashion Image Editing with Compositional Concept Learning and Counterfactual Abduction CVPR 2025
Visual Representation Learning through Causal Intervention for Controllable Image Editing CVPR 2025
Learning without Isolation: Pathway Protection for Continual Learning ICML 2025
Large Language Models are Demonstration Pre-Selectors for Themselves ICML 2025
Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness ICML 2025
Beyond Function-Level Search: Repository-Aware Dual-Encoder Code Retrieval with Adversarial Verification EMNLP 2025
Mitigating Spurious Correlations via Counterfactual Contrastive Learning EMNLP 2025
MeshPad: Interactive Sketch-Conditioned Artist-Reminiscent Mesh Generation and Editing ICCV 2025
Empowering LLMs with Logical Reasoning: A Comprehensive Survey IJCAI 2025
Optimal Transport for Time Series Imputation ICLR 2025
FreDF: Learning to Forecast in the Frequency Domain ICLR 2025
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation ICLR 2024
Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization NIPS 2024
Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective NIPS 2024
Towards Understanding Extrapolation: a Causal Lens NIPS 2024
Addressing Hidden Confounding with Heterogeneous Observational Datasets for Recommendation NIPS 2024
A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs NIPS 2024
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation AAAI 2024
SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors CVPR 2024
Debiased Collaborative Filtering with Kernel-Based Causal Balancing ICLR 2024
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference ICLR 2024
On the Maximal Local Disparity of Fairness-Aware Classifiers ICML 2024
A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective ICML 2024
Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias ICML 2024
Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering ICML 2024
Learning Causal Relations from Subsampled Time Series with Two Time-Slices ICML 2024
Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach NIPS 2023
Propensity Matters: Measuring and Enhancing Balancing for Recommendation ICML 2023
Trustworthy Policy Learning under the Counterfactual No-Harm Criterion ICML 2023
Optimal Transport for Treatment Effect Estimation NIPS 2023
TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations ICLR 2023
StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random ICLR 2023
Multiple Robust Learning for Recommendation AAAI 2023
Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach NIPS 2023
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges IJCAI 2022