Haoxuan Li

Graph of Trace: Visualizing Execution Traces of Scientific Agents ACL 2026 From Knowing to Teaching: Scaffolding Pedagogical Decisions for LLM Agent ACL 2026 Beyond Self-Report: Bridging the Intention-Behavior Gap in Critical Thinking Assessment via Interpretable Multi-Agent System ACL 2026 SimPBL: A Multi-Agent Framework for Project-Based Learning ACL 2026 IGenBench: Benchmarking the Reliability of Text-to-Infographic Generation ACL 2026 TransFR: Transferable Federated Recommendation with Adapter Tuning on Pre-trained Language Models AAAI 2026 Uplift Modeling with Delayed Feedback: Identifiability and Algorithms AAAI 2026 What’s Missing in Vision-Language Models? Probing Their Struggles with Causal Order Reasoning EACL 2026 Semantics-Preserving Adversarial Attacks on Event-Driven Stock Prediction Models AAAI 2026 Empowering LLMs with Logical Reasoning: A Comprehensive Survey IJCAI 2025 CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds NAACL 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 HiPoser: 3D Human Pose Estimation with Hierarchical Shared Learning at Parts-Level Using Inertial Measurement Units AAAI 2025 Optimal Transport for Time Series Imputation ICLR 2025 FreDF: Learning to Forecast in the Frequency Domain ICLR 2025 Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models ICLR 2025 Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition AAAI 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 Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning ICML 2025 Active Treatment Effect Estimation via Limited Samples ICML 2025 Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering ICML 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 MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation 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 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 Optimal Transport for Treatment Effect Estimation NIPS 2023 Trustworthy Policy Learning under the Counterfactual No-Harm Criterion ICML 2023 Propensity Matters: Measuring and Enhancing Balancing for Recommendation ICML 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