Publications

Below is a list of my publications and preprints with a representative figure from each paper. For the complete, always up-to-date list with citation metrics, please visit my Google Scholar profile.

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
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
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
Beyond Output Correctness: Benchmarking and Evaluating Large Language Model Reasoning in Coding Tasks
arXiv
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
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
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
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
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H-FedSN: Personalized Sparse Networks for Efficient and Accurate Hierarchical Federated Learning for IoT Applications
arXiv
H-FedSN: Personalized Sparse Networks for Efficient and Accurate Hierarchical Federated Learning for IoT Applications
Jiechao Gao, Yuangang Li, Yue Zhao, Brad Campbell
PDF
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
Artificial Intelligence-Aided Digital Twin Design: A Systematic Review
preprints
Artificial Intelligence-Aided Digital Twin Design: A Systematic Review
N Hao, Yuangang Li, K Liu, S Liu, Y Lu, B Xu, C Li, J Chen, L Yue, T Fu, X Hu, Yue Zhao
Preprint PDF Cite