WEN Yang 温洋

Visiting Ph.D. Student @ Laboratory of Functional and Metabolic Imaging, EPFL, Switzerland (since 2021.02)
Doctoral Assistant, Animal Imaging and Technology @ Center for Biomedical Imaging, EPFL, Switzerland (since 2021.02)
Ph.D. Student, Computer Science @ UESTC, China (since 2018.09)

Email: young.wen at foxmail dot com
            yang.wen at epfl dot ch

[Google Scholar] | [CSDN Blog] | [EPFL] | [ORCID]
I am a Ph.D. student at University of Electronic Science and Technology of China (UESTC, Chengdu, China) since 2018. Before that I got my BEng at Northwestern Polytechnic University (NWPU, Xi'an, China) in 2016. Currently, I am also a visiting Ph.D. student at École Polytechnique Fédérale de Lausanne(EPFL, Laussane, Switzerland). My research interests are in artificial intelligence (deep learning) and medical image analysis.
Fields of Research
Artificial Intelligence, Medical Image Analysis, Multimodal Medical Image Representation Learning, Transfer Learning on Medical Images
Computer-Aided Diagnosis of Psychiatric Disorders, Multimodal Representation Learning for Neuroscience, Finding Biomarkers of Psychiatric Disorders via Deep Learning
Activities
  • Visiting Ph.D. Student, @ Laboratory of Functional and Metabolic Imaging , EPFL, Laussane, Switzerland (2021)
  • Doctoral Assistant, @ Center for Biomedical Imaging , EPFL, Laussane, Switzerland (2021)
  • Intern AI Engineer: Patent Text Mining, Lanternfish Co., Ltd, Hong Kong, China (2018)
  • Visiting Scholar: PICSL Lab, University of Pennsylvania, PA, USA (2017)
  • Exchanged Student: School of Computer Science, Universidad Politecnica de Valencia, Valencia, Spain (2015)
Selected publications
  • [NEW] Wen, Y., Chen, L., Deng, Y., Ning, J., Zhou, C. "Towards better semantic consistency of 2D medical image segmentation",
    accepted and published in J. Vis. Commun. Image R. (2021) [Free Access] [DOI]
  • Wen, Y., Chen, L., Deng, Y., Zhou, C. "Rethinking Pre-training on Medical Imaging",
    accepted and published in J. Vis. Commun. Image R. (2021) [DOI]
  • Wen, Y., Chen, L., Qiao, L., Deng, Y., Chen, H., Zhang, T., Zhou, C. “Let's Find Fluorescein: Cross-Modal Dual Attention Learning for Fluorescein Leakage Segmentation in Fundus Fluorescein Angiography”,
    accepted as oral, has been published in IEEE ICME 2021. (2021, July)
  • Wen, Y., Chen, L., Zhou, C., Deng, Y., Zeng, H., Xi, S., Guo, R. “On the Effective Transfer Learning Strategy for Medical Image Analysis in Deep Learning”,
    accepted as regular paper, has been published in IEEE BIBM 2020 (CCF-B) (pp. 827-834). (2020, December) [IEEE] [Code]
  • Wen, Y., Chen, L., Qiao, L., Zhou, C., Xi, S., Guo, R., Deng, Y. “An Efficient Weakly-Supervised Learning Method for Optic Disc Segmentation”,
    accepted as regular paper, has been published in IEEE BIBM 2020 (CCF-B) (pp. 835-842). (2020, December) [IEEE]
Awards
  • Chinese Government Scholarship, Awarded from China Scholarship Council, 2020
  • First Prize Graduate Scholarship for Master Student, Awarded from UESTC, 2017 (Top 10%)
  • Outstanding Undergraduate Graduates of Northwestern Polytechnic University, Top honors for graduates, 2016 (Top 5%)
  • First Prize Undergraduate Scholarship, Awarded from NWPU, 2013-2014 (Top 10%)
  • Chinese Government Scholarship, Awarded from China Scholarship Council, 2014
Other Resources
  • [NEW] Medical Datasets Collections for Artificial Intelligence-based Medical Image Analysis. [PDF] [arxiv]