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Yuangang Li

Orcid: 0009-0000-2259-0687

Affiliations:
  • University of Southern California, Thomas Lord Department of Computer Science, Los Angeles, CA, USA


According to our database1, Yuangang Li authored at least 10 papers between 2024 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Mitigating Hallucinations in Large Language Models via Causal Reasoning.
[BibTeX]
[DOI]
Yuangang Li
,
Yiqing Shen
,
Yi Nian
,
Jiechao Gao
,
Ziyi Wang
,
Chenxiao Yu
,
Shawn Li
,
Jie Wang
,
Xiyang Hu
,
Yue Zhao
CoRR, August, 2025

AD-LLM: Benchmarking Large Language Models for Anomaly Detection.
[BibTeX]
[DOI]
Tiankai Yang
,
Yi Nian
,
Li Li
,
Ruiyao Xu
,
Yuangang Li
,
Jiaqi Li
,
Zhuo Xiao
,
Xiyang Hu
,
Ryan A. Rossi
,
Kaize Ding
,
Xia Hu
,
Yue Zhao
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
A Large-scale Empirical Study on Large Language Models for Election Prediction.
[BibTeX]
[DOI]
Chenxiao Yu
,
Zhaotian Weng
,
Yuangang Li
,
Zheng Li
,
Xiyang Hu
,
Yue Zhao
CoRR, 2024

AD-LLM: Benchmarking Large Language Models for Anomaly Detection.
[BibTeX]
[DOI]
Tiankai Yang
,
Yi Nian
,
Shawn Li
,
Ruiyao Xu
,
Yuangang Li
,
Jiaqi Li
,
Zhuo Xiao
,
Xiyang Hu
,
Ryan A. Rossi
,
Kaize Ding
,
Xiaohu You
,
Yue Zhao
CoRR, 2024

H-FedSN: Personalized Sparse Networks for Efficient and Accurate Hierarchical Federated Learning for IoT Applications.
[BibTeX]
[DOI]
Jiechao Gao
,
Yuangang Li
,
Yue Zhao
,
Brad Campbell
CoRR, 2024

NLP-ADBench: NLP Anomaly Detection Benchmark.
[BibTeX]
[DOI]
Yuangang Li
,
Jiaqi Li
,
Zhuo Xiao
,
Tiankai Yang
,
Yi Nian
,
Xiyang Hu
,
Yue Zhao
CoRR, 2024

Towards More Accurate US Presidential Election via Multi-step Reasoning with Large Language Models.
[BibTeX]
[DOI]
Chenxiao Yu
,
Zhaotian Weng
,
Yuangang Li
,
Zheng Li
,
Xiyang Hu
,
Yue Zhao
CoRR, 2024

FedBCGD: Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning.
[BibTeX]
[DOI]
Junkang Liu
,
Fanhua Shang
,
Yuanyuan Liu
,
Hongying Liu
,
Yuangang Li
,
YunXiang Gong
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Fed-LDR: Federated Local Data-infused Graph Creation with Node-centric Model Refinement.
[BibTeX]
[DOI]
Jiechao Gao
,
Yuangang Li
,
Syeda Faiza Ahmed
Proceedings of the IEEE International Conference on Data Mining, 2024

FedMetaMed: Federated Meta-Learning for Personalized Medication in Distributed Healthcare Systems.
[BibTeX]
[DOI]
Jiechao Gao
,
Yuangang Li
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024


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