Paper-Conference

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
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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
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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
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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
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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
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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
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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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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
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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
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