Carl Yang

45 papers · 2019–2026 · 13 conferences · across top CS/AI conferences

Achievements

+12 more ↓

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🌍 Conference Polyglot (12)

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🔬 Deep Specialist (11) 🧬 Topic Evolution 🏆 Keyword Champion (2) 🏆 Grand Slam 🗃️ Keyword Collector (182) 🚀 Conference Pioneer 💎 Century Club (41) 🔥 Unstoppable (7) ⚡ Prolific Year (8)

Conferences

NIPS (11) EMNLP (7) IJCAI (7) ACL (4) AAAI (3) ICML (3) ICLR (2) MIDL (2) NAACL (2) COLING (1) CVPR (1) EACL (1) MICCAI (1)

Top co-authors

Ran Xu (10) Yue Yu (7) Hejie Cui (7) Xuan Kan (5) Wenqi Shi (5) Lichao Sun (5) May Dongmei Wang (5) Yuchen Zhuang (5) Joyce C. Ho (4) Jiawei Han (4)

Research topics

Differential Privacy (1) Privacy (1)

Keywords

graph neural network (12) large language model (7) domain adaptation (5) generative adversarial network (4) node classification (4) representation learning (3) federated learning (3) node embedding (3) variational inference (2) dense retrieval (2) clinical prediction (2) few-shot learning (2) graph embedding (2) transfer learning (2) relation extraction (2) adversarial learning (2) multimodal learning (2) text classification (2) graph classification (2) link prediction (2)

Papers

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