Publications

The Geometry of Logic: Stratification Induces Semantic Structure and Robust Reasoning

arXiv

The Geometry of Logic: Stratification Induces Semantic Structure and Robust Reasoning

Cristina V. Lopes*, Yuangang Li*, Justin Tian Jin Chen, Alberto Krone-Martins, Iris Ma, Md Rakib Hossain Misu

Harbor Adapters and Harbor-Index: Infrastructure and a Curated Meta-Dataset for Large-Scale Agentic Evaluation

NeurIPS 2026 E&D

Harbor Adapters and Harbor-Index: Infrastructure and a Curated Meta-Dataset for Large-Scale Agentic Evaluation

Lin Shi, Haowei Lin, Zixuan Zhu, Xiaoyue Zhou, Xiang Li, Xiangning Lin, Yaxuan Deng, Han Xu, Yuangang Li, et al. (140+ authors)

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

Agents' Last Exam

NeurIPS 2026 E&D

Agents' Last Exam

Yuangang Li with Team

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

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

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

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

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

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

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

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

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

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

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

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

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

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