Pre-trained models, data augmentation, and ensemble learning for biomedical information extraction and document classification. - Arslan Erdengasileng; Qing Han; Tingting Zhao; Shubo Tian; Xin Sui; Keqiao Li; Wanjing Wang; Jian Wang; Ting Hu; Feng Pan; Yuan Zhang; Jinfeng Zhang (Database J. Biol. Databases Curation, 2022)

Retrospective content analysis of consumer product reviews related to chronic pain. - Jungwei Fan 001; Wanjing Wang; Ming Huang 006; Hongfang Liu; W. M. Hooten (Frontiers Digit. Health, 2023)

Intelligent predictive maintenance of hydraulic systems based on virtual knowledge graph. - Wei Yan; Yu Shi; Zengyan Ji; Yuan Sui; Zhenzhen Tian; Wanjing Wang; Qiushi Cao (Eng. Appl. Artif. Intell., 2023)

A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness. - Fali Wang; Zhiwei Zhang; Xianren Zhang; Zongyu Wu 001; Tzuhao Mo; Qiuhao Lu; Wanjing Wang; Rui Li; Junjie Xu; Xianfeng Tang; Qi He 002; Yao Ma 001; et al. (CoRR, 2024)

A comprehensive large-scale biomedical knowledge graph for AI-powered data-driven biomedical research. - Yuan Zhang; Xin Sui; Feng Pan; Kaixian Yu; Keqiao Li; Shubo Tian; Arslan Erdengasileng; Qing Han; Wanjing Wang; Jianan Wang; Jian Wang; Donghu Sun; et al. (Nat. Mac. Intell., 2025)

Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors. - Ming Huang 006; Zehan Li; Yan Hu; Wanjing Wang; Andrew Wen; Scott Lane; Salih Selek; Lokesh Shahani; Rodrigo Machado-Vieira; Jair Soares; Hua Xu 001; Hongfang Liu (CoRR, 2025)