PPaperPicks

Carl Yang

Emory University, Department of Computer Science, Atlanta, GA, USA

65 papers at tracked venues · 47 at CORE A* · active 2024–2026

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Venues

SIGKDD ×15WWW ×11ACL ×5EMNLP ×5NeurIPS ×5CIKM ×4ICML ×3SDM ×3AAAI ×2ACM MM ×1CVPR ×1EACL ×1ICDE ×1ICLR ×1IJCAI ×1ISWC ×1MICCAI ×1NAACL ×1SIGIR ×1SIGMOD ×1WSDM ×1

Frequent coauthors

Ran Xu
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Huaming Du
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Yanchao Tan
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Hang Lv
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Shengbo Gong
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Zitong Shi
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Yuzhang Xie
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Wenqi Shi
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Qirui Hao
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Shigeng Chen
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Hengyu Zhang
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Lihui Liu
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Papers

  1. A Unified Framework for Rule Learning: Integrating Commonsense Knowledge from LLMs with Structured Knowledge from Knowledge Graphs
    WWW 2026 ·
    Qirui Hao
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  2. Awaken the Giant: Activating LLMs via Deep Model Guidance for Boundary-aware Medication Recommendation
    SIGKDD 2026 ·
    Hang Lv
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  3. Beyond Chunks and Graphs: Retrieval-Augmented Generation through Triplet-Driven Thinking
    ACL 2026 ·
    Shengbo Gong
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  4. Beyond Memorization: A Rigorous Evaluation Framework for Medical Knowledge Editing
    EACL 2026 ·
    Shigeng Chen
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  5. EviCare: Enhancing Diagnosis Prediction with Deep Model-Guided Evidence for In-Context Reasoning
    SIGKDD 2026 ·
    Hengyu Zhang
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  6. MixRAG : Mixture-of-Experts Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
    WWW 2026 ·
    Lihui Liu
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  7. OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment
    ACL 2026 ·
    Tianci Liu
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  8. RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation
    ACL 2026 ·
    Ran Xu
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  9. Scalable Graph Condensation with Evolving Capabilities
    SIGKDD 2026 ·
    Shengbo Gong
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  10. Traceable Latent Variable Discovery Based on Multi-Agent Collaboration
    WWW 2026 ·
    Huaming Du
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  11. Transferable Graph Condensation from the Causal Perspective
    AAAI 2026 ·
    Huaming Du
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  12. A Survey on Unifying Large Language Models and Knowledge Graphs for Biomedicine and Healthcare
    SIGKDD 2025 ·
    Ran Xu
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  13. AceSearcher: Bootstrapping Reasoning and Search for LLMs via Reinforced Self-Play
    NeurIPS 2025 ·
    Ran Xu
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  14. Are Your LLM-based Text-to-SQL Models Secure? Exploring SQL Injection via Backdoor Attacks
    SIGMOD 2025 ·
    Meiyu Lin
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  15. Boosting E-commerce Content Diversity: A Graph-based RAG Approach with User Reviews
    SIGKDD 2025 ·
    Jiaxi Yang
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  16. BoxLM: Unifying Structures and Semantics of Medical Concepts for Diagnosis Prediction in Healthcare
    ICML 2025 ·
    Yanchao Tan
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  17. Causal Discovery through Synergizing Large Language Model and Data-Driven Reasoning
    SIGKDD 2025 ·
    Huaming Du
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  18. Contrastive Unlearning: A Contrastive Approach to Machine Unlearning
    IJCAI 2025 ·
    Hong-Kyu Lee
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  19. Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification
    SIGKDD 2025 ·
    Yuanchen Bei
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  20. Don't Forget the Enjoin: FocalLoRA for Instruction Hierarchical Alignment in Large Language Models
    NeurIPS 2025 ·
    Zitong Shi
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  21. EAGLES: Towards Effective, Efficient, and Economical Federated Graph Learning via Unified Sparsification
    ICML 2025 ·
    Zitong Shi
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  22. Explainable Text Classification with LLMs: Enhancing Performance through Dialectical Prompting and Explanation-Guided Training
    EMNLP 2025 ·
    Huaming Du
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  23. FedGrAINS: Personalized SubGraph Federated Learning with AdaptIve Neighbor Sampling
    SDM 2025 ·
    Emir Ceyani
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  24. FedKDD 2025: The 2025 International Joint Workshop on Federated Learning for Data Mining and Graph Analytics
    SIGKDD 2025 · Carl Yang
  25. FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity
    CVPR 2025 ·
    Zihan Tan
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  26. Future Matters for Present: Towards Effective Physical Simulation over Meshes
    SIGKDD 2025 ·
    Xiao Luo
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  27. GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New Insights
    NeurIPS 2025 ·
    Shengbo Gong
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  28. Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks
    SIGKDD 2025 ·
    Zewen Liu
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  29. GuardAgent: Safeguard LLM Agents via Knowledge-Enabled Reasoning
    ICML 2025 ·
    Zhen Xiang
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  30. How to use Graph Data in the Wild to Help Graph Anomaly Detection?
    SIGKDD 2025 ·
    Yuxuan Cao
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  31. HypKG: Hypergraph-Based Knowledge Graph Contextualization for Precision Healthcare
    ISWC 2025 ·
    Yuzhang Xie
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  32. Integrating Large Language Models and Knowledge Graphs for Next-level AGI
    WWW 2025 ·
    Linhao Luo
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  33. KDD Health Day 2025: Harnessing AI Opportunities in Biomedicine and Healthcare
    SIGKDD 2025 ·
    Peipei Ping
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  34. Large Language Model Empowered Logical Relations Mining for Personalized Recommendation
    WWW 2025 ·
    Yanchao Tan
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  35. MaSH: Maximal Separating Poincaré Hyperplanes for Hierarchical Imbalanced Learning
    WWW 2025 ·
    Bo Xiong
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  36. MedAlign: Enhancing Combinatorial Medication Recommendation with Multi-modality Alignment
    ACM MM 2025 ·
    Hang Lv
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  37. MedAssist: LLM-Empowered Medical Assistant for Assisting the Scrutinization and Comprehension of Electronic Health Records
    WWW 2025 ·
    Ran Xu
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  38. Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
    CIKM 2025 ·
    Meeyoung Cha
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  39. Retrieval-augmented GUI Agents with Generative Guidelines
    EMNLP 2025 ·
    Ran Xu
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  40. SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
    NAACL 2025 ·
    Ran Xu
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  41. Subgraph Federated Learning for Local Generalization
    ICLR 2025 ·
    Sungwon Kim
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  42. BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers
    EMNLP 2024 ·
    Ran Xu
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  43. Biomedical Visual Instruction Tuning with Clinician Preference Alignment
    NeurIPS 2024 ·
    Hejie Cui
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  44. BoxCare: A Box Embedding Model for Disease Representation and Diagnosis Prediction in Healthcare Data
    WWW 2024 ·
    Hang Lv
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  45. Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation
    CIKM 2024 ·
    Baoyu Jing
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  46. DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy
    WWW 2024 ·
    Qiuchen Zhang
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  47. Deep Efficient Private Neighbor Generation for Subgraph Federated Learning
    SDM 2024 ·
    Ke Zhang
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  48. Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module
    NeurIPS 2024 ·
    Jingbo Zhou
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  49. EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records
    EMNLP 2024 ·
    Wenqi Shi
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  50. Enhancing Progressive Diagnosis Prediction in Healthcare with Continuous Normalizing Flows
    WWW 2024 ·
    Yanchao Tan
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  51. FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics
    SIGKDD 2024 ·
    Junyuan Hong
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  52. Federated Node Classification over Distributed Ego-Networks with Secure Contrastive Embedding Sharing
    CIKM 2024 ·
    Han Xie
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  53. GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction
    WSDM 2024 ·
    Amit Roy
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  54. Helper Recommendation with seniority control in Online Health Community
    SDM 2024 ·
    Junruo Gao
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  55. HypMix: Hyperbolic Representation Learning for Graphs with Mixed Hierarchical and Non-hierarchical Structures
    CIKM 2024 ·
    Eric Wonhee Lee
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  56. Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation
    MICCAI 2024 ·
    Haoteng Tang
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  57. Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
    ACL 2024 ·
    Ran Xu
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  58. Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation
    ICDE 2024 ·
    Yanchao Tan
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  59. MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning
    EMNLP 2024 ·
    Wenqi Shi
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  60. PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking
    SIGIR 2024 ·
    Yuzhang Xie
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  61. RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records
    ACL 2024 ·
    Ran Xu
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  62. Representation Learning of Temporal Graphs with Structural Roles
    SIGKDD 2024 ·
    Huaming Du
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  63. TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data
    SIGKDD 2024 ·
    Ziyang Zhang
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  64. Uncertainty-Aware Pre-Trained Foundation Models for Patient Risk Prediction via Gaussian Process
    WWW 2024 ·
    Jiaying Lu
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  65. Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning
    AAAI 2024 ·
    Yiqi Dong
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