Research output per year
Research output per year
Personal profile
Personal profile
Dr. Guangyu Ren is an Assistant Professor at the school of AI and Advanced Computing (AIAC) at XJTLU Entrepreneur College (Taicang). He completed his PhD at the Imperial College London under the supervision of Dr Tania Stathaki in 2023, M.Sc in Electrical and Electronic Engineering from The University of Sheffield with distinction degree in 2018. Following his graduation from Imperial, he undertook a postdoctoral research position in the Department of Computer Science at University College London. Additionally, he gained further postdoctoral experience at Mayo Clinic in the US, focusing on histopathology and CT image analysis.
Research interests
Deep Learning
Computer Vision
Medical Imaging
Experience
Postdoctoral Researcher, Mayo Clinic, US, 2024
Postdoctoral Researcher, University College London, UK, 2023
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
PhD, Imperial Colleage London
Award Date: 1 Mar 2023
Master, Distinction Degree, University of Sheffield
Award Date: 26 Oct 2018
Bachelor, Shandong Normal University
2013 → 2017
Person Types
- Staff
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Adaptive Anchor Label Propagation for Transductive Few-Shot Learning
Lazarou, M., Avrithis, Y., Ren, G. & Stathaki, T., 2023, 2023 IEEE International Conference on Image Processing, ICIP 2023 - Proceedings. IEEE Computer Society, p. 331-335 5 p. (Proceedings - International Conference on Image Processing, ICIP).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Open Access -
Adaptive Anchor Label Propagation for Transductive Few-Shot Learning
Lazarou, M., Avrithis, Y., Ren, G. & Stathaki, T., 2023, 2023 IEEE International Conference on Image Processing (ICIP).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Towards automated polyp segmentation using weakly-and semi-supervised learning and deformable transformers
Ren, G., Lazarou, M., Yuan, J. & Stathaki, T., 2023, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Towards Automated Polyp Segmentation Using Weakly- and Semi-Supervised Learning and Deformable Transformers
Ren, G., Lazarou, M., Yuan, J. & Stathaki, T., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023. IEEE Computer Society, p. 4355-4364 10 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2023-June).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Open Access7 Citations (Scopus) -
Adaptive Intra-Group Aggregation for Co-Saliency Detection
Ren, G., Dai, T. & Stathaki, T., 2022, ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review