Yuangang Li

According to our database, Yuangang Li authored at least 14 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LLM-Guided Semantic Bootstrapping for Interpretable Text Classification with Tsetlin Machines.

Jiechao Gao, Rohan Kumar Yadav, Yuangang Li, Yuandong Pan, Jie Wang, Ying Liu, Michael D. Lepech

CoRR, April, 2026

FedBCD:Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning.

Junkang Liu, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Yuangang Li, YunXiang Gong

CoRR, March, 2026

Mitigating Hallucinations in Large Language Models via Causal Reasoning.

Yuangang Li, Yiqing Shen, Yi Nian, Jiechao Gao, Ziyi Wang, Chenxiao Yu, Li Li, Jie Wang, Xiyang Hu, Yue Zhao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

S2D-Align: Shallow-to-Deep Auxiliary Learning for Anatomically-Grounded Radiology Report Generation.

Jiechao Gao, Chang Liu, Yuangang Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Mitigating Hallucinations in Large Language Models via Causal Reasoning.

Yuangang Li, Yiqing Shen, Yi Nian, Jiechao Gao, Ziyi Wang, Chenxiao Yu, Shawn Li, Jie Wang, Xiyang Hu, Yue Zhao

CoRR, August, 2025

NLP-ADBench: NLP Anomaly Detection Benchmark.

Yuangang Li, Jiaqi Li, Zhuo Xiao, Tiankai Yang, Yi Nian, Xiyang Hu, Yue Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

AD-LLM: Benchmarking Large Language Models for Anomaly Detection.

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.

Chenxiao Yu, Zhaotian Weng, Yuangang Li, Zheng Li, Xiyang Hu, Yue Zhao

CoRR, 2024

AD-LLM: Benchmarking Large Language Models for Anomaly Detection.

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.

Jiechao Gao, Yuangang Li, Yue Zhao, Brad Campbell

CoRR, 2024

Towards More Accurate US Presidential Election via Multi-step Reasoning with Large Language Models.

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.

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.

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.

Jiechao Gao, Yuangang Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024