Hongyu Wang

Hongyu Wang

Northwestern Polytechnical University

My name is Hongyu Wang, now a Ph.D. student at School of Computer Science, Northwestern Polytechnical University under the supervision of Prof. Yong Xia. I graduated from School of Mathematics and Statistics, Northwestern Polytechnical University with a bachelor’s degree of science.

My research interest includes medical image analysis, machine learning and deep learning for radiological imaging, computational histopathology, and single-cell and spatial multi-omics. I enjoy studying medical and biological problems with efficient-computational methods.

📝 Publications

IEEE-TMI 2023
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Robust Stochastic Neural Ensemble Learning with Noisy Labels for Thoracic Disease Classification

Hongyu Wang, Jiang He, Hengfei Cui, Bo Yuan and Yong Xia

IEEE Transactions on Medical Imaging 2023, minor revision

Cell Reports Medicine 2023
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Non-invasive tumor microenvironment evaluation and treatment response prediction in gastric cancer using deep learning radiomics

Yuming Jiang, Kangneng Zhou, Zepang Sun, Hongyu Wang, Jingjing Xie, Taojun Zhang, Shengtian Sang, Md Tauhidul Islam, Chuanli Chen, Qingyu Yuan, Sujuan Xi, Tuanjie Li, Yikai Xu, Wenjun Xiong, Wei Wang, Guoxin Li, Ruijiang Li

Cell Reports Medicine 2023

JID 2023
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Single-cell and Spatial Transcriptomic Analysis of Human Skin Delineates Intercellular Communication and Pathogenic Cells

Kim Thrane, Mårten C G Winge, Hongyu Wang, Larry Chen, Margaret G Guo, Alma Andersson, Xesús M Abalo, Xue Yang, Daniel S Kim, Sophia K Longo, Brian Y Soong, Jordan M Meyers, David L Reynolds, Aaron McGeever, Deniz Demircioglu, Dan Hasson, Reza Mirzazadeh, Adam J Rubin, Gordon H Bae, Jim Karkanias, Kerri Rieger, Joakim Lundeberg, Andrew L Ji

Journal of Investigative Dermatology 2023

BSPC 2023
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Domain-ensemble learning with cross-domain mixup for thoracic disease classification in unseen domains

Hongyu Wang, Yong Xia

Biomedical Signal Processing and Control 2023 [Code]

Lancet Digital Health 2022
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Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study

Yuming Jiang, Zhicheng Zhang, Qingyu Yuan, Wei Wang, Hongyu Wang, Tuanjie Li, Weicai Huang, Jingjing Xie, Chuanli Chen, Zepang Sun, Jiang Yu, Yikai Xu, George A Poultsides, Lei Xing, Zhiwei Zhou, Guoxin Li, Ruijiang Li

Lancet Digital Health 2022

MEDIA 2021
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Triple Attention Learning for Classification of 14 Thoracic Diseases Using Chest Radiograph

Hongyu Wang, Shanshan Wang, Zibo Qin, Yanning Zhang, Ruijiang Li, and Yong Xia

Medical Image Analysis 2021

IEEE-JBHI 2020
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Thorax-Net: An Attention Regularized Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography

Hongyu Wang, Haozhe Jia, Le Lu, Yong Xia

IEEE Journal of Biomedical and Health Informatics 2020

🎖 Honors and Awards

  • 2021-2023: Innovation Foundation for Doctor Dissertation of Northwestern Polytechnical University (Key projects).
  • 2015-2022: Northwestern Polytechnical University First-Class Academic Scholarship.
  • 2020: CETC Scholarship.
  • 2019: China Scholarship Council (CSC) Scholarships.
  • 2017: Northwestern Polytechnical University Excellent Bachelor’s Thesis.

🎓 Educations

  • 2021.07 - 2022.04: Visiting Student & Associate Researcher, Department of Dermatology, Icahn School of Medicine at Mount Sinai.
  • 2020.01 - 2021.06: Visiting Student, Department of Radiation Oncology, Stanford University School of Medicine.
  • 2017.09 - 2023.12: Ph.D., School of Computer Science and Engineering, Northwestern Polytechnical University.
  • 2013.09 - 2017.06: B.S. Degree, School of Mathematics and Statistics, Northwestern Polytechnical University.

📚 Academic Activities

  • Conference Reviews
    • MICCAI 2019-2023
  • Journal Reviews
    • IEEE Journal of Biomedical and Health Informatics
    • Biomedical Signal Processing and Control
    • Frontiers in Oncology