| 2025 | AAAI | Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning. | Xinlu Zhang, Zhiyu Zoey Chen, Xi Ye, Xianjun Yang, Lichang Chen, William Yang Wang, Linda Ruth Petzold |
| 2025 | EMNLP | Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing Uncertainty. | Peilin Wu, Mian Zhang, Xinlu Zhang, Xinya Du, Zhiyu Chen |
| 2025 | GLOBECOM | Communication-Aware Knowledge Distillation for Federated LLM Fine-Tuning over Wireless Networks. | Xinlu Zhang, Na Yan, Yang Su, Yansha Deng, Toktam Mahmoodi |
| 2025 | NAACL | CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy. | Mian Zhang, Xianjun Yang, Xinlu Zhang, Travis Labrum, Jamie C. Chiu, Shaun M. Eack, Fei Fang, William Yang Wang, Zhiyu Chen |
| 2024 | GLOBECOM | Joint Model Pruning and Resource Allocation for Wireless Time-triggered Federated Learning. | Xinlu Zhang, Yansha Deng, Toktam Mahmoodi |
| 2024 | ICLR | Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting. | Xinlu Zhang, Shiyang Li, Xianjun Yang, Chenxin Tian, Yao Qin, Linda Ruth Petzold |
| 2023 | AAAI | Deep Learning for Medical Prediction in Electronic Health Records. | Xinlu Zhang |
| 2023 | ICML | Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling. | Xinlu Zhang, Shiyang Li, Zhiyu Chen, Xifeng Yan, Linda Ruth Petzold |
| 2022 | EMNLP | PcMSP: A Dataset for Scientific Action Graphs Extraction from Polycrystalline Materials Synthesis Procedure Text. | Xianjun Yang, Ya Zhuo, Julia Zuo, Xinlu Zhang, Stephen D. Wilson, Linda R. Petzold |