Predictive risk modelling in mental health issues using machine learning on graphs. - Haohui Lu; Shahadat Uddin; Farshid Hajati; Matloob Khushi; Mohammad Ali Moni (ACSW, 2022)

A disease network-based recommender system framework for predictive risk modelling of chronic diseases and their comorbidities. - Haohui Lu; Shahadat Uddin (Appl. Intell., 2022)

A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitus. - Haohui Lu; Shahadat Uddin; Farshid Hajati; Mohammad Ali Moni; Matloob Khushi (Appl. Intell., 2022)

Comorbidity and multimorbidity prediction of major chronic diseases using machine learning and network analytics. - Shahadat Uddin; Shangzhou Wang; Haohui Lu; Arif Khan 001; Farshid Hajati; Matloob Khushi (Expert Syst. Appl., 2022)

Explainable Stacking-Based Model for Predicting Hospital Readmission for Diabetic Patients. - Haohui Lu; Shahadat Uddin (Inf., 2022)

A machine learning software tool for multiclass classification. - Shangzhou Wang; Haohui Lu; Arif Khan 001; Farshid Hajati; Matloob Khushi; Shahadat Uddin (Softw. Impacts, 2022)

KNN-Based Patient Network and Ensemble Machine Learning for Disease Prediction. - Haohui Lu; Shahadat Uddin (HIS, 2023)

Embedding-based link predictions to explore latent comorbidity of chronic diseases. - Haohui Lu; Shahadat Uddin (Health Inf. Sci. Syst., 2023)

Impact of COVID-19 on Journal Impact Factor. - Shahadat Uddin; Arif Khan 001; Haohui Lu (J. Informetrics, 2023)

Can Large Language Models Enhance Predictions of Disease Progression? Investigating Through Disease Network Link Prediction. - Haohui Lu; Usman Naseem (EMNLP, 2024)

STLLM-DF: A Spatial-Temporal Large Language Model with Diffusion for Enhanced Multi-Mode Traffic System Forecasting. - Zhiqi Shao; Haoning Xi; Haohui Lu; Ze Wang; Michael G. H. Bell; Junbin Gao (CoRR, 2024)

A parameterised model for link prediction using node centrality and similarity measure based on graph embedding. - Haohui Lu; Shahadat Uddin (Neurocomputing, 2024)

KG-UQ: Knowledge Graph-Based Uncertainty Quantification for Long Text in Large Language Models. - Yingqing Yuan; Linwei Tao; Haohui Lu; Matloob Khushi; Imran Razzak; Mark Dras; Jian Yang 001; Usman Naseem (WWW (Companion Volume), 2025)

Identifying the factors influencing the development of bilateral investment treaties with health safeguards: a Machine Learning-based link prediction approach. - Haohui Lu; Anne Marie Thow; Dori Patay; Takwa Tissaoui; Nicholas Frank; Holly Rippin; Tien Dat Hoang; Fabio Gomes; Wolfgang Alschner; Shahadat Uddin (J. Comput. Soc. Sci., 2025)

VaxGuard: A Multi-Generator, Multi-Type, and Multi-Role Dataset for Detecting LLM-Generated Vaccine Misinformation. - Syed Talal Ahmad; Haohui Lu; Sidong Liu; Annie Lau; Amin Beheshti; Mark Dras; Usman Naseem (CoRR, 2025)

Calibrating Graph Neural Networks with Wavelet-Aware Temperature Scaling. - Xiaoyang Li; Linwei Tao; Haohui Lu; Minjing Dong; Junbin Gao; Chang Xu (CoRR, 2025)