Guangyu Ren

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Guangyu Ren

Assistant Professor

Calculated based on number of publications stored in Pure and citations from Scopus
20202023

Research activity 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

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

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  • 7 Conference Proceeding
  • 3 Article

  • 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

  • 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

  • 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

  • Dynamic Knowledge Distillation with Noise Elimination for RGB-D Salient Object Detection

    Ren, G., Yu, Y., Liu, H. & Stathaki, T., Aug 2022, In: Sensors. 22, 16, 6188.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    3 Citations (Scopus)

  • NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results

    Perez-Pellitero, E., Catley-Chandar, S., Shaw, R., Leonardis, A., Timofte, R., Zhang, Z., Liu, C., Peng, Y., Lin, Y., Yu, G., Zhang, J., Ma, Z., Wang, H., Chen, X., Wang, X., Wu, H., Liu, L., Dong, C., Zhou, J., Yan, Q., & 73 othersZhang, S., Chen, W., Liu, Y., Zhang, Z., Zhang, Y., Shi, J. Q., Gong, D., Zhu, D., Sun, M., Chen, G., Hu, Y., Li, H., Zou, B., Liu, Z., Lin, W., Jiang, T., Jiang, C., Li, X., Han, M., Fan, H., Sun, J., Liu, S., Marin-Vega, J., Sloth, M., Schneider-Kamp, P., Rottger, R., Li, C., Bao, L., He, G., Xu, Z., Xu, L., Zhan, G., Sun, M., Wen, X., Li, J., Li, J., Li, C., Gang, R., Li, F., Liu, C., Feng, S., Lei, F., Liu, R., Ruan, J., Dai, T., Li, W., Lu, Z., Liu, H., Huang, P., Ren, G., Luo, Y., Liu, C., Tu, Q., Li, F., Gang, R., Li, C., Li, J., Ma, S., Liu, C., Cao, Y., Tel, S., Heyrman, B., Ginhac, D., Lee, C., Kim, G., Park, S., Vien, A. G., Thanh Nhat Mai, T., Yoon, H., Vo, T., Holston, A., Zaheer, S. & Park, C. Y., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022. IEEE Computer Society, p. 1008-1022 15 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2022-June).

    Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

    Open Access
    28 Citations (Scopus)
View all 10 research outputs