Carl Yang
Orcid: 0000-0001-9145-4531Affiliations:
- Emory University, Department of Computer Science, Atlanta, GA, USA
- University of Illinois at Urbana-Champaign, Urbana, IL, USA (PhD 2020)
According to our database1,
Carl Yang
authored at least 172 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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on cs.emory.edu
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on dl.acm.org
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Bibliography
2024
Automatic Hypergraph Generation for Enhancing Recommendation With Sparse Optimization.
IEEE Trans. Multim., 2024
NeuroImage, 2024
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains.
CoRR, 2024
CoRR, 2024
Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data Generation.
CoRR, 2024
CoRR, 2024
From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHR.
CoRR, 2024
Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling.
CoRR, 2024
MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning.
CoRR, 2024
BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations.
CoRR, 2024
LLMs-based Few-Shot Disease Predictions using EHR: A Novel Approach Combining Predictive Agent Reasoning and Critical Agent Instruction.
CoRR, 2024
CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation.
CoRR, 2024
Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM.
CoRR, 2024
MuseGraph: Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining.
CoRR, 2024
Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes.
CoRR, 2024
EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records.
CoRR, 2024
CoRR, 2024
Proceedings of the ACM on Web Conference 2024, 2024
Enhancing Progressive Diagnosis Prediction in Healthcare with Continuous Normalizing Flows.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
BoxCare: A Box Embedding Model for Disease Representation and Diagnosis Prediction in Healthcare Data.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Uncertainty-Aware Pre-Trained Foundation Models for Patient Risk Prediction via Gaussian Process.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
ExpertODE: Continuous Diagnosis Prediction with Expert Enhanced Neural Ordinary Differential Equations.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Federated Node Classification over Distributed Ego-Networks with Secure Contrastive Embedding Sharing.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
HypMix: Hyperbolic Representation Learning for Graphs with Mixed Hierarchical and Non-hierarchical Structures.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Knowl. Data Eng., October, 2023
IEEE Trans. Knowl. Data Eng., August, 2023
IEEE Trans. Knowl. Data Eng., August, 2023
IEEE Trans. Knowl. Data Eng., April, 2023
IEEE Trans. Medical Imaging, February, 2023
IEEE Trans. Multim., 2023
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models.
CoRR, 2023
CoRR, 2023
Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models.
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage Training.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
FedAA: Using Non-sensitive Modalities to Improve Federated Learning while Preserving Image Privacy.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Graph Neural Network Modeling of Web Search Activity for Real-time Pandemic Forecasting.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023
Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression.
Proceedings of the IEEE International Conference on Data Mining, 2023
Revisiting Citation Prediction with Cluster-Aware Text-Enhanced Heterogeneous Graph Neural Networks.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Conference on Health, Inference, and Learning, 2023
øurs: Mobile Sensing based Fluid Overload Detection for End Stage Kidney Disease Patients using _Sensor _Relation _Dual _Autoencoder.
Proceedings of the Conference on Health, Inference, and Learning, 2023
Dynamic Brain Transformer with Multi-Level Attention for Functional Brain Network Analysis.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark.
IEEE Trans. Knowl. Data Eng., 2022
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks.
CoRR, 2022
CoRR, 2022
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation.
CoRR, 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions on EHR.
Proceedings of the Machine Learning for Health, 2022
FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Dynamic Network Anomaly Modeling of Cell-Phone Call Detail Records for Infectious Disease Surveillance.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
BrainNet: Epileptic Wave Detection from SEEG with Hierarchical Graph Diffusion Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation.
Proceedings of the Advances in Information Retrieval, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract).
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Transformer-Based Hierarchical Clustering for Brain Network Analysis (Extended Abstract).
Proceedings of the IEEE International Conference on Big Data, 2022
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks (Extended Abstract).
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Proceedings of the 4th Conference on Automated Knowledge Base Construction, 2022
2021
CoRR, 2021
CoRR, 2021
BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis.
CoRR, 2021
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the WSDM '21, 2021
Proceedings of the WSDM '21, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract).
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond.
CoRR, 2020
CoRR, 2020
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020
Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Integrating Group Homophily and Individual Personality of Topics Can Better Model Network Communities.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining.
CoRR, 2019
Proceedings of the World Wide Web Conference, 2019
Relationship Profiling over Social Networks: Reverse Smoothness from Similarity to Closeness.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019
User-Guided Clustering in Heterogeneous Information Networks via Motif-Based Comprehensive Transcription.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
Conditional Structure Generation through Graph Variational Generative Adversarial Nets.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the IEEE International Conference on Data Mining, 2018
Did You Enjoy the Ride? Understanding Passenger Experience via Heterogeneous Network Embedding.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018
Node, Motif and Subgraph: Leveraging Network Functional Blocks Through Structural Convolution.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
Spatiotemporal Activity Modeling Under Data Scarcity: A Graph-Regularized Cross-Modal Embedding Approach.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI Recommendation.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017