Carl J. Yang

About Carl J. Yang

Carl J. Yang, With an exceptional h-index of 29 and a recent h-index of 29 (since 2020), a distinguished researcher at University of Illinois at Urbana-Champaign, specializes in the field of graph data mining, applied machine learning, knowledge graphs, federated learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers

Open visual knowledge extraction via relation-oriented multimodality model prompting

MuseGraph: Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining

Uncertainty-Aware Pre-Trained Foundation Models for Patient Risk Prediction via Gaussian Process

Helper Recommendation with seniority control in Online Health Community

Federated learning for cross-institution brain network analysis

Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes

Adapting a Generative Pretrained Transformer Achieves SOTA Performance in Assessing Diverse Physiological Functions Using Only Photoplethysmography Signals: A GPT-PPG Approach

Carl J. Yang Information

University

Position

Ph.D. Candidate at the

Citations(all)

3119

Citations(since 2020)

3008

Cited By

1026

hIndex(all)

29

hIndex(since 2020)

29

i10Index(all)

62

i10Index(since 2020)

60

Email

University Profile Page

Google Scholar

Carl J. Yang Skills & Research Interests

graph data mining

applied machine learning

knowledge graphs

federated learning

Top articles of Carl J. Yang

Title

Journal

Author(s)

Publication Date

BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers

arXiv preprint arXiv:2404.18443

Ran Xu

Wenqi Shi

Yue Yu

Yuchen Zhuang

Yanqiao Zhu

...

2024/4/29

Open visual knowledge extraction via relation-oriented multimodality model prompting

Advances in Neural Information Processing Systems

Hejie Cui

Xinyu Fang

Zihan Zhang

Ran Xu

Xuan Kan

...

2024/2/13

MuseGraph: Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining

arXiv preprint arXiv:2403.04780

Yanchao Tan

Hang Lv

Xinyi Huang

Jiawei Zhang

Shiping Wang

...

2024/3/2

Uncertainty-Aware Pre-Trained Foundation Models for Patient Risk Prediction via Gaussian Process

Jiaying Lu

Shifan Zhao

Wenjing Ma

Hui Shao

Xiao Hu

...

2024

Helper Recommendation with seniority control in Online Health Community

Junruo Gao

Chen Ling

Carl Yang

Liang Zhao

2024/4

Federated learning for cross-institution brain network analysis

Han Xie

Yi Yang

Hejie Cui

Carl Yang

2024/4/3

Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes

arXiv preprint arXiv:2401.13588

Darren Liu

Cheng Ding

Delgersuren Bold

Monique Bouvier

Jiaying Lu

...

2024/1/24

Adapting a Generative Pretrained Transformer Achieves SOTA Performance in Assessing Diverse Physiological Functions Using Only Photoplethysmography Signals: A GPT-PPG Approach

Zhaoliang Chen

Cheng Ding

Nirbhay Modhe

Jiaying Lu

Carl Yang

...

2024/3/1

Evaluation and Enhancement of Semantic Grounding in Large Vision-Language Models

Jiaying Lu

Jinmeng Rao

Kezhen Chen

Xiaoyuan Guo

Yawen Zhang

...

2024/2/26

LLMs-based Few-Shot Disease Predictions using EHR: A Novel Approach Combining Predictive Agent Reasoning and Critical Agent Instruction

arXiv preprint arXiv:2403.15464

Hejie Cui

Zhuocheng Shen

Jieyu Zhang

Hui Shao

Lianhui Qin

...

2024/3/19

EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records

arXiv preprint arXiv:2401.07128

Wenqi Shi

Ran Xu

Yuchen Zhuang

Yue Yu

Jieyu Zhang

...

2024/1/13

RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records

arXiv preprint arXiv:2403.00815

Ran Xu

Wenqi Shi

Yue Yu

Yuchen Zhuang

Bowen Jin

...

2024/2/25

Unveiling Implicit Deceptive Patterns in Multi-modal Fake News via Neuro-Symbolic Reasoning

AAAI 2024

Yiqi Dong

Dongxiao He

Xiaobao Wang

Youzhu Jin

Meng Ge

...

2024

CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation

arXiv preprint arXiv:2403.11960

Baoyu Jing

Dawei Zhou

Kan Ren

Carl Yang

2024/3/18

Multimodal fusion of ehr in structures and semantics: Integrating clinical records and notes with hypergraph and llm

arXiv preprint arXiv:2403.08818

Hejie Cui

Xinyu Fang

Ran Xu

Xuan Kan

Joyce C Ho

...

2024/2/19

EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records

Wenqi Shi

Ran Xu

Yuchen Zhuang

Yue Yu

Jieyu Zhang

...

2024

Beyond efficiency: A systematic survey of resource-efficient large language models

Guangji Bai

Zheng Chai

Chen Ling

Shiyu Wang

Jiaying Lu

...

2024/1

BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations

arXiv preprint arXiv:2405.00077

Kaiqiao Han

Yi Yang

Zijie Huang

Xuan Kan

Yang Yang

...

2024/4/30

Walklm: A uniform language model fine-tuning framework for attributed graph embedding

Advances in Neural Information Processing Systems

Yanchao Tan

Zihao Zhou

Hang Lv

Weiming Liu

Carl Yang

2024/2/13

GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction

The 17th ACM International Conference on Web Search and Data Mining

Amit Roy

Juan Shu

Jia Li

Carl Yang

Olivier Elshocht

...

2024

See List of Professors in Carl J. Yang University(University of Illinois at Urbana-Champaign)

Co-Authors

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