About Me

My research interest includes data mining in healthcare, predictive models and intelligent systems.

Working Experiences

• 2020-now, Associate Professor, College of Medical Informatics, Chongqing Medical University
• 2018–2020, PostDoc, College of Medical Informatics, Chongqing Medical University
• 2013–2014, Engineer, MicroStrategy
• 2011–2012, Software Intern, Nokia Research Center

Educations

• 2014-2018, Ph.D., Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences
• 2015-2018, Joint Ph.D., Department of Systems Engineering and Engineering Management, City University of Hong Kong
• 2010-2013, Master of Software Engineering, School of Software Engineering, University of Science and Technology of China
• 2006-2010, Bachelor of Electronic and Information Engineering, School of Electronic and Information Engineering, Beihang University

Publications

• Zixin Shi, Linjun Huang, Haolin Wang, Predicting Complications of Cirrhosis using Synthetic Data Generation Enhanced Dynamic Classifier Selection, accepted by the IEEE MedAI 2024 Conference.
• Yifan Duan, Ruiqi Wang, Zhilin Huang, Haoran Chen, Mingkun Tang, Jiayin Zhou, Zhengyong Hu, Wanfei Hu, Zhenli Chen, Qing Qian, Haolin Wang, Intelligent Diagnosis of Kawasaki Disease From Real-World Data Using Interpretable Machine Learning Models, Hellenic Journal of Cardiology, 2024,
• Yang Zhang, Haolin Wang, Chengliang Yin, Tingting Shu, Jie Yu, Jie Jian, Chang Jian, Minjie Duan, Kaisaierjiang Kadier, Qian Xu, Xueer Wang, Tianyu Xiang, Xiaozhu Liu, Development of a prediction model for the risk of 30-day unplanned readmission in elderly patients with heart failure: a multicenter retrospective study, Nutrition, Metabolism and Cardiovascular Diseases, 2023.
• Xiaozhu Liu, Duan Minjie, Haodong Huang, Yang Zhang, Tianyu Xiang, Cengniu Wu, Bei Zhou, Haolin Wang, Tingting Zhang, Predicting diabetic kidney disease for type 2 diabetes mellitus by machine learning in the real world: a multicenter retrospective study, Frontiers in Endocrinology, 2023
• Jia Liu, Haolin Wang, Zhen Yang, Junjun Quan, Lingjuan Liu, Jie Tian, Deep learning-based computer-aided heart sound analysis in children with left-to-right shunt congenital heart disease, International Journal of Cardiology, 2021.
• Xiaomei Xu, Juntao Tan, Haolin Wang, Wenlong Zhao, Bo Qin, Risk stratification score to predict readmission of patients with acute decompensated cirrhosis within 90 days, Frontiers in Medicine, 2021.
• Xiaomei Xu, Haolin Wang, Wenlong Zhao, Yong Wang, Jiayue Wang, Bo Qin, Recompensation factors for patients with decompensated cirrhosis: a multicentre retrospective case–control study, BMJ Open, 2021.
• Haolin Wang, Qingpeng Zhang, Youhua Frank Chen, Eman Leung, Eliza Wong, Eng-Kiong Yeoh, Tensor Factorization-based Prediction with an Application to Estimate the Risk of Chronic Diseases, IEEE Intelligent Systems, 2021.
• Liwen Zheng, Haolin Wang, Li Mei, Qiuman Chen, Yuxin Zhang, Hongmei Zhang, Artificial intelligence in digital cariology: a new tool for the diagnosis of deep caries and pulpitis using convolutional neural networks, Annals of Translational Medicine, 2021.
• 刘巧, 曾燕, 王浩林, 刘博, 赵文龙, 王毅, 机器学习方法对新型冠状病毒肺炎的诊断价值, 中国医学影像学杂志, 2021.
• Zhilin Huang, Xu-Hai Tan, Haolin Wang, Bo Pan, Tie-wei Lv, Jie Tian, A new diagnostic model distinguishes Kawasaki disease from other febrile illnesses in Chongqing: a retrospective study on 10367 patients, Frontiers in Pediatrics, 2020.
• Haolin Wang, Zhilin Huang, Danfeng Zhang, Johan Arief, Tiewei Lyu, and Jie Tian, Integrating Co-clustering and Interpretable Machine Learning for the Prediction of Intravenous Immunoglobulin Resistance in Kawasaki Disease, IEEE ACCESS, 2020.
• Haolin Wang, Xuhai Tan, Zhilin Huang, Bo Pan, Jie Tian, Mining incomplete clinical data for the early assessment of Kawasaki disease based on feature clustering and convolutional neural networks, Artificial Intelligence in Medicine, 2020.
• Haolin Wang, Qingpeng Zhang, Mary Ip, Joseph Lau, Social Media-based Conversational Agents for Health Management and Interventions, IEEE Computer, 2018.
• Haolin Wang, Qingpeng Zhang, Hing-Yu So, Angela Kwok, Zoie Shui-Yee Wong, Temporal Prediction of In-Hospital Falls using Tensor Factorization, BMJ Innovations, 2018.
• Haolin Wang, Yuming Qiu, Jun Jiang, Ju Zhang, Jiahu Yuan, Leveraging Word Embeddings and Semantic Enrichment for Automatic Clinical Evidence Grading, International Conference on Bioinformatics and Computational Biology, 2018.
• Lifang Li, Qingpeng Zhang, Jun Tian, Haolin Wang, Characterizing Information Propagation Patterns in Emergencies: A Case Study with Yiliang Earthquake, International Journal of Information Management, 2018.
• Haolin Wang, Qingpeng Zhang, Semantic Expansion Network based Relevance Analysis for Medical Information Retrieval, International Conference for Smart Health, 2017.
• Haolin Wang, Qingpeng Zhang, Jiahu Yuan, Semantically Enhanced Medical Information Retrieval System: A Tensor Factorization Based Approach , IEEE ACCESS, 2017.
• Haolin Wang, Minjun Xi, Jia Liu, and Canfeng Chen. Transmitting IPv6 packets over Bluetooth low energy based on BlueZ, International Conference on Advanced Communication Technology (Outstanding Paper Award), 2013.