| 2026 | AAAI | S2D-Align: Shallow-to-Deep Auxiliary Learning for Anatomically-Grounded Radiology Report Generation. | Jiechao Gao, Chang Liu, Yuangang Li |
| 2026 | AAAI | 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 |
| 2026 | ACL | 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 |
| 2025 | ACL | 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 |
| 2025 | EMNLP | NLP-ADBench: NLP Anomaly Detection Benchmark. | Yuangang Li, Jiaqi Li, Zhuo Xiao, Tiankai Yang, Yi Nian, Xiyang Hu, Yue Zhao |
| 2024 | ICDM | Fed-LDR: Federated Local Data-infused Graph Creation with Node-centric Model Refinement. | Jiechao Gao, Yuangang Li, Syeda Faiza Ahmed |
| 2017 | ISNN | Joining External Context Characters to Improve Chinese Word Embedding. | Xianchao Zhang, Shike Liu, Yuangang Li, Wenxin Liang |
| 2017 | PAKDD | SPGLAD: A Self-paced Learning-Based Crowdsourcing Classification Model. | Xianchao Zhang, Heng Shi, Yuangang Li, Wenxin Liang |
| 2017 | PAKDD | A Novel Extreme Learning Machine-Based Classification Algorithm for Uncertain Data. | Xianchao Zhang, Daoyuan Sun, Yuangang Li, Han Liu, Wenxin Liang |