Publications

A representative figure accompanies each paper. For the complete, always up-to-date list with citation metrics, please visit my Google Scholar profile.

Published

LLM-Guided Semantic Bootstrapping for Interpretable Text Classification with Tsetlin Machines
ACL 2026 Findings
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
PDF
Beyond Output Correctness: Benchmarking and Evaluating Large Language Model Reasoning in Coding Tasks
EMNLP 2026
Beyond Output Correctness: Benchmarking and Evaluating Large Language Model Reasoning in Coding Tasks
Yuangang Li, Justin Tian Jin Chen, Ethan Yu, David Hong, Iftekhar Ahmed
PDF DOI
Mitigating Hallucinations in Large Language Models via Causal Reasoning
AAAI 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
PDF Code DOI
S2D-Align: Shallow-to-Deep Auxiliary Learning for Anatomically-Grounded Radiology Report Generation
AAAI 2026
S2D-Align: Shallow-to-Deep Auxiliary Learning for Anatomically-Grounded Radiology Report Generation
Jiechao Gao, Chang Liu, Yuangang Li
PDF DOI
H-FedSN: Personalized Sparse Networks for Efficient and Accurate Hierarchical Federated Learning for IoT Applications
Nature AI’26
H-FedSN: Personalized Sparse Networks for Efficient and Accurate Hierarchical Federated Learning for IoT Applications
Jiechao Gao*, Yuangang Li*, Jie Wang, Yue Zhao, Michael Lepech, Brad Campbell
PDF
NLP-ADBench: NLP Anomaly Detection Benchmark
EMNLP 2025 Findings
NLP-ADBench: NLP Anomaly Detection Benchmark
Yuangang Li, Jiaqi Li, Zhuo Xiao, Tiankai Yang, Yi Nian, Xiyang Hu, Yue Zhao
PDF Code DOI
AD-LLM: Benchmarking Large Language Models for Anomaly Detection
ACL 2025 Findings
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
PDF DOI
Fed-LDR: Federated Local Data-infused Graph Creation with Node-centric Model Refinement
SSTDM 2024
Fed-LDR: Federated Local Data-infused Graph Creation with Node-centric Model Refinement
Jiechao Gao, Yuangang Li, Syeda Faiza Ahmed
PDF Cite DOI
FedMetaMed: Federated Meta-Learning for Personalized Medication in Distributed Healthcare Systems
BIBM 2024
FedMetaMed: Federated Meta-Learning for Personalized Medication in Distributed Healthcare Systems
Jiechao Gao, Yuangang Li
PDF DOI
FedBCGD: Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning
ACM MM 2024
FedBCGD: Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning
Junkang Liu, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Yuangang Li, YunXiang Gong
PDF Cite DOI

Preprints & Under Review

The Orchestration Gap: Why Process Automation Stalls in Operationally Complex Industries
arXiv
The Orchestration Gap: Why Process Automation Stalls in Operationally Complex Industries
Jiechao Gao, Yuandong Pan, Yuangang Li, Jie Wang, Kincho Law, Michael D. Lepech
PDF
Agents' Last Exam
arXiv
Agents' Last Exam
Yiyou Sun, Yuangang Li, Et Al. (300+ Contributors)
PDF
Artificial Intelligence-Aided Digital Twin Design: A Systematic Review and Future Directions
Preprints 2026
Artificial Intelligence-Aided Digital Twin Design: A Systematic Review and Future Directions
Yuangang Li, Jiechao Gao, Nan Hao, Xinhe Xu, Kecheng Liu, Yingzhou Lu, Bohao Xu, Chenhao Li, Jintai Chen, Minjie Shen, Lulu Chen, Ling Yue, Yuanyuan Zhang, Zhuoyi Yang, Yuandong Pan, Fanping Sui, Ying Zhang, Xiyang Hu, Xiao Wang, Jie Wang, Michael Lepech, Yue Zhao
Preprint PDF Cite DOI
Asymmetric Capacity Allocation in Self-Refinement Pipelines
arXiv
Asymmetric Capacity Allocation in Self-Refinement Pipelines
Zhuoyi Yang, Ian G. Harris, Salar Hashemitaheri, Cassie Huang, Yuangang Li, Hyunwoo Oh, Paul Dourish, Tony Givargis, Mohsen Imani, Li Zhang
PDF
Clusters are All You Need: Pre-Training the Tsetlin Machine with Semantic Clusters from Language Models for Interpretability
arXiv
Clusters are All You Need: Pre-Training the Tsetlin Machine with Semantic Clusters from Language Models for Interpretability
Jiechao Gao, Rohan Kumar Yadav, Yuangang Li, Yuandong Pan, Jie Wang, Ying Liu, Michael D. Lepech
PDF
A Large-Scale Simulation on Large Language Models for Decision-Making in Political Science
arXiv
A Large-Scale Simulation on Large Language Models for Decision-Making in Political Science
Chenxiao Yu, Jinyi Ye, Yuangang Li, Zheng Li, Emilio Ferrara, Xiyang Hu, Yue Zhao
PDF