Carl Yang

Beyond Memorization: A Rigorous Evaluation Framework for Medical Knowledge Editing EACL 2026 OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment ACL 2026 Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs CVPR 2026 Transferable Graph Condensation from the Causal Perspective AAAI 2026 Ultra-ECP: Ellipse-Constrained and Point-Robust Foundation Model Adaptation for Fetal Cardiac Ultrasound Segmentation MIDL 2026 BoxLM: Unifying Structures and Semantics of Medical Concepts for Diagnosis Prediction in Healthcare ICML 2025 Contrastive Unlearning: A Contrastive Approach to Machine Unlearning IJCAI 2025 EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification ICML 2025 Explainable Text Classification with LLMs: Enhancing Performance through Dialectical Prompting and Explanation-Guided Training EMNLP 2025 FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity CVPR 2025 GuardAgent: Safeguard LLM Agents via Knowledge-Enabled Reasoning ICML 2025 Piecing It All Together: Verifying Multi-Hop Multimodal Claims COLING 2025 Retrieval-augmented GUI Agents with Generative Guidelines EMNLP 2025 SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains NAACL 2025 Subgraph Federated Learning for Local Generalization ICLR 2025 Biomedical Visual Instruction Tuning with Clinician Preference Alignment NeurIPS 2024 BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers EMNLP 2024 Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module NeurIPS 2024 EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records EMNLP 2024 Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation MICCAI 2024 Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models ACL 2024 MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning EMNLP 2024 RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records ACL 2024 Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning AAAI 2024 Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks NeurIPS 2023 MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields EMNLP 2023 Neighborhood-Regularized Self-Training for Learning with Few Labels AAAI 2023 Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting NeurIPS 2023 PV2TEA: Patching Visual Modality to Textual-Established Information Extraction ACL 2023 WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding NeurIPS 2023 Brain Network Transformer NeurIPS 2022 Data-Free Adversarial Knowledge Distillation for Graph Neural Networks IJCAI 2022 Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation EMNLP 2022 FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation MIDL 2022 Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction ICLR 2022 SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction NAACL 2022 Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation NeurIPS 2021 Federated Graph Classification over Non-IID Graphs NeurIPS 2021 Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks IJCAI 2021 Secure Deep Graph Generation with Link Differential Privacy IJCAI 2021 Subgraph Federated Learning with Missing Neighbor Generation NeurIPS 2021 TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract) IJCAI 2021 Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization NeurIPS 2021 Understanding Structural Vulnerability in Graph Convolutional Networks IJCAI 2021 When Do GNNs Work: Understanding and Improving Neighborhood Aggregation IJCAI 2020 Conditional Structure Generation through Graph Variational Generative Adversarial Nets NeurIPS 2019