Wanrong Yang
Scholar

Wanrong Yang

Google Scholar ID: MJnF0dYAAAAJ
PhD researcher, Department of Computer Science, University of Liverpool
Deep reinforcement learningMedical AIGeneral AI for Science
Citations & Impact
All-time
Citations
41
 
H-index
4
 
i10-index
2
 
Publications
9
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • Publications: Including but not limited to 'Efficient Inference of Sources and Targets in a Graph with Limited Observations' accepted by ECAI-2025 and other papers under review or published in top conferences. Patents: A cancer risk stratification method based on multi-modality radiomics (published in CHN). Invited Talks: Including but not limited to 2nd year PhD workshop at the University of Liverpool in May 2025.
Research Experience
  • During PhD studies, supervised by Prof. Dominik Wojtczak, Prof. Yalin Zheng, and Prof. Sven Schewe, collaborating with Dr. Stephen Pasteris and Dr. Chris Hicks from Alan Turing Institute to explore new AI technology in safety evaluations. During undergraduate, focused on medical signal processing and electronic nose under the supervision of Dr. Wang Li and Dr. Shengping Liu. Later, conducted MR-guided radiotherapy in prostate cancer and AI for fast MR imaging in SIAT under the guidance of Dr. Yihang Zhou, Dr. Haifeng Wang, and Prof. Dong Liang.
Education
  • 2023.10 - 2027.09 (Expected), PhD student, fully funded by EPSRC Centre for Doctoral Training (CDT), University of Liverpool; 2019.09 - 2023.09, Joint undergraduate education, SIAT, UCAS, and CQUT.
Background
  • Research Interests: AI for Medical Science. Professional Field: Computer Sciences. Brief Introduction: Currently, a PhD student at the EPSRC CDT, University of Liverpool, focusing on future leaders in data science and artificial intelligence. Undergraduate degree in Biomedical Engineering from joint education of Shenzhen Institute of Advanced Technology, University of Chinese Academy of Sciences, and Chongqing University of Technology, graduated with highest honor.
Miscellany
  • Personal Quote: 'Those who can imagine anything, can create the impossible' - Alan Turing. Feel free to drop me an email 📬 wanrong.yang@liverpool.ac.uk.