On the Prime Number Divisibility by Deep Learning. - Da Wu; Jingye Yang; Mian Umair Ahsan; Kai Wang 049 (CoRR, 2023)

Not All Large Language Models (LLMs) Succumb to the "Reversal Curse": A Comparative Study of Deductive Logical Reasoning in BERT and GPT Models. - Jingye Yang; Da Wu; Kai Wang 049 (CoRR, 2023)

Multimodal Machine Learning Combining Facial Images and Clinical Texts Improves Diagnosis of Rare Genetic Diseases. - Da Wu; Jingye Yang; Steven Klein; Cong Liu 020; Tzung-Chien Hsieh; Peter M. Krawitz; Chunhua Weng; Gholson J. Lyon; Jennifer M. Kalish; Kai Wang 049 (CoRR, 2023)

Classification of integers based on residue classes via modern deep learning algorithms. - Da Wu; Jingye Yang; Mian Umair Ahsan; Kai Wang 049 (Patterns, 2023)

Fine-tuning large language models for rare disease concept normalization. - Andy Wang; Cong Liu 020; Jingye Yang; Chunhua Weng (J. Am. Medical Informatics Assoc., 2024)

Exploring the reversal curse and other deductive logical reasoning in BERT and GPT-based large language models. - Da Wu; Jingye Yang; Kai Wang 049 (Patterns, 2024)

Enhancing phenotype recognition in clinical notes using large language models: PhenoBCBERT and PhenoGPT. - Jingye Yang; Cong Liu 020; Wendy Deng; Da Wu; Chunhua Weng; Yunyun Zhou; Kai Wang 049 (Patterns, 2024)

Fair streaming feature selection. - Zhangling Duan; Tianci Li; Zhaolong Ling; Xingyu Wu; Jingye Yang; Zhaohong Jia (Neurocomputing, 2025)