Haohui Lu

23 papers A* 1C 1Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bias Mitigation in Large Language Models for Tabular Data Classification.
Mach. Learn.
Haohui Lu, Zhiqi Shao, Junbin Gao, Shahadat Uddin
2026 J jnl
Fairness-preserving framework for machine learning: data bias quantification, model evaluation, and robustness across multiple datasets.
AI Ethics
Shahadat Uddin, Haohui Lu, Farshid Hajati
2025 — conf
An Explainable Graph Learning Framework for Severe Maternal Morbidity Prediction.
AI (2)
Haohui Lu, Ye Lin, Rongcheng Wu, Pingyang Sun, Yu Gao, Zhidong Li
2025 — conf
Assessing Algorithmic Fairness in Socioeconomic Predictions Using Australian Census Data.
AI (1)
Shahadat Uddin, Yajie Huang, Shanshan Fang, Haohui Lu
2025 J jnl
Calibrating Graph Neural Networks with Wavelet-Aware Temperature Scaling.
CoRR
Xiaoyang Li, Linwei Tao, Haohui Lu, Minjing Dong, Junbin Gao, Chang Xu
2025 J jnl
Identifying the factors influencing the development of bilateral investment treaties with health safeguards: a Machine Learning-based link prediction approach.
J. Comput. Soc. Sci.
Haohui Lu, Anne Marie Thow, Dori Patay, Takwa Tissaoui, Nicholas Frank, Holly Rippin, Tien Dat Hoang, Fabio Gomes, Wolfgang Alschner, Shahadat Uddin
2025 — conf
KG-UQ: Knowledge Graph-Based Uncertainty Quantification for Long Text in Large Language Models.
WWW (Companion Volume)
Yingqing Yuan, Linwei Tao, Haohui Lu, Matloob Khushi, Imran Razzak, Mark Dras, Jian Yang, Usman Naseem
2025 J jnl
Medical Domain Knowledge Collaborative Graph Learning for Healthcare Event Prediction.
Expert Syst. J. Knowl. Eng.
Usman Naseem, Junaid Rashid, Haohui Lu, Dominic Ng, Zain U. Hussain, Amir Hussain
2025 J jnl
Toward fair medical advice: Addressing and mitigating bias in large language model-based healthcare applications.
Artif. Intell. Medicine
Haohui Lu, Ye Lin, Zhidong Li, Man Lung Yiu, Yu Gao, Shahadat Uddin
2025 J jnl
VaxGuard: A Multi-Generator, Multi-Type, and Multi-Role Dataset for Detecting LLM-Generated Vaccine Misinformation.
CoRR
Syed Talal Ahmad, Haohui Lu, Sidong Liu, Annie Lau, Amin Beheshti, Mark Dras, Usman Naseem
2024 J jnl
A parameterised model for link prediction using node centrality and similarity measure based on graph embedding.
Neurocomputing
Haohui Lu, Shahadat Uddin
2024 A* conf
Can Large Language Models Enhance Predictions of Disease Progression? Investigating Through Disease Network Link Prediction.
EMNLP
Haohui Lu, Usman Naseem
2024 J jnl
STLLM-DF: A Spatial-Temporal Large Language Model with Diffusion for Enhanced Multi-Mode Traffic System Forecasting.
CoRR
Zhiqi Shao, Haoning Xi, Haohui Lu, Ze Wang, Michael G. H. Bell, Junbin Gao
2023 J jnl
A parameterised model for link prediction using node centrality and similarity measure based on graph embedding.
CoRR
Haohui Lu, Shahadat Uddin
2023 J jnl
Embedding-based link predictions to explore latent comorbidity of chronic diseases.
Health Inf. Sci. Syst.
Haohui Lu, Shahadat Uddin
2023 J jnl
Impact of COVID-19 on Journal Impact Factor.
J. Informetrics
Shahadat Uddin, Arif Khan, Haohui Lu
2023 C conf
KNN-Based Patient Network and Ensemble Machine Learning for Disease Prediction.
HIS
Haohui Lu, Shahadat Uddin
2022 J jnl
A disease network-based recommender system framework for predictive risk modelling of chronic diseases and their comorbidities.
Appl. Intell.
Haohui Lu, Shahadat Uddin
2022 J jnl
A machine learning software tool for multiclass classification.
Softw. Impacts
Shangzhou Wang, Haohui Lu, Arif Khan, Farshid Hajati, Matloob Khushi, Shahadat Uddin
2022 J jnl
A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitus.
Appl. Intell.
Haohui Lu, Shahadat Uddin, Farshid Hajati, Mohammad Ali Moni, Matloob Khushi
2022 J jnl
Comorbidity and multimorbidity prediction of major chronic diseases using machine learning and network analytics.
Expert Syst. Appl.
Shahadat Uddin, Shangzhou Wang, Haohui Lu, Arif Khan, Farshid Hajati, Matloob Khushi
2022 J jnl
Explainable Stacking-Based Model for Predicting Hospital Readmission for Diabetic Patients.
Inf.
Haohui Lu, Shahadat Uddin
2022 — conf
Predictive risk modelling in mental health issues using machine learning on graphs.
ACSW
Haohui Lu, Shahadat Uddin, Farshid Hajati, Matloob Khushi, Mohammad Ali Moni