UTSA-NLP at RadSum23: Multi-modal Retrieval-Based Chest X-Ray Report Summarization. - Tongnian Wang; Xingmeng Zhao; Anthony Rios (BioNLP@ACL, 2023)

Enabling Privacy-Preserving Prediction for Length of Stay in ICU - A Multimodal Federated-Learning-based Approach. - Tongnian Wang; Yuanxiong Guo; Kim-Kwang Raymond Choo (ECIS, 2023)

BabyStories: Can Reinforcement Learning Teach Baby Language Models to Write Better Stories? - Xingmeng Zhao; Tongnian Wang; Sheri Osborn; Anthony Rios (CoRR, 2023)

Improving Expert Radiology Report Summarization by Prompting Large Language Models with a Layperson Summary. - Xingmeng Zhao; Tongnian Wang; Anthony Rios (CoRR, 2024)

Online Client Scheduling and Resource Allocation for Efficient Federated Edge Learning. - Zhidong Gao; Zhenxiao Zhang; Yu Zhang 047; Tongnian Wang; Yanmin Gong 001; Yuanxiong Guo (CoRR, 2024)

Analyzing the Impact of Personalization on Fairness in Federated Learning for Healthcare. - Tongnian Wang; Kai Zhang; Jiannan Cai; Yanmin Gong 001; Kim-Kwang Raymond Choo; Yuanxiong Guo (J. Heal. Informatics Res., 2024)