Haohui Lu

According to our database, Haohui Lu authored at least 12 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A parameterised model for link prediction using node centrality and similarity measure based on graph embedding.

Haohui Lu, Shahadat Uddin

Neurocomputing, 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

Can Large Language Models Enhance Predictions of Disease Progression? Investigating Through Disease Network Link Prediction.

Haohui Lu, Usman Naseem

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Impact of COVID-19 on Journal Impact Factor.

Shahadat Uddin, Arif Khan, Haohui Lu

J. Informetrics, November, 2023

Embedding-based link predictions to explore latent comorbidity of chronic diseases.

Haohui Lu, Shahadat Uddin

Health Inf. Sci. Syst., 2023

KNN-Based Patient Network and Ensemble Machine Learning for Disease Prediction.

Haohui Lu, Shahadat Uddin

Proceedings of the Health Information Science - 12th International Conference, 2023

2022

A machine learning software tool for multiclass classification.

Shangzhou Wang, Haohui Lu, Arif Khan, Farshid Hajati, Matloob Khushi, Shahadat Uddin

Softw. Impacts, 2022

Explainable Stacking-Based Model for Predicting Hospital Readmission for Diabetic Patients.

Haohui Lu, Shahadat Uddin

Inf., 2022

Comorbidity and multimorbidity prediction of major chronic diseases using machine learning and network analytics.

Shahadat Uddin, Shangzhou Wang, Haohui Lu, Arif Khan, Farshid Hajati, Matloob Khushi

Expert Syst. Appl., 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

A disease network-based recommender system framework for predictive risk modelling of chronic diseases and their comorbidities.

Haohui Lu, Shahadat Uddin

Appl. Intell., 2022

Predictive risk modelling in mental health issues using machine learning on graphs.

Haohui Lu, Shahadat Uddin, Farshid Hajati, Matloob Khushi, Mohammad Ali Moni

Proceedings of the ACSW 2022: Australasian Computer Science Week 2022, Brisbane, Australia, February 14, 2022