Jiawei MA

Prof. Jiawei MA, 馬佳葳

  • YEUNG-Y6426

Accepting PhD Students

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Calculated based on number of publications stored in Pure and citations from Scopus
20172025

Research activity per year

Personal profile

Author IDs

ORCID iD: 0000-0002-8625-5391
Scopus Author ID: 57203315503
Google Scholar Profile: kXbWREkAAAAJ

Impact

Metrics for Academic and Research Impact

Biography

Jiawei Ma received his M.S. and Ph.D. from the Columbia University. His areas of focuses include multi-modal understanding, de-centralized AI and life-long learning.

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):

  • SDG 3 - Good Health and Well-being

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Collaborations from the last five years

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  • 15 RGC 32 - Refereed conference paper (with host publication)
  • 5 RGC 21 - Publication in refereed journal

  • MoDE: CLIP Data Experts via Clustering

    Ma, J., Huang, P.-Y., Xie, S., Li, S.-W., Zettlemoyer, L., Chang, S.-F., Yih, W.-T. & Xu, H., 2024, Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE Computer Society, p. 26354-26363

    Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

    Open Access
    5 Citations (Scopus)

  • DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection

    Ma, J., Niu, Y., Xu, J., Huang, S., Han, G. & Chang, S.-F., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE, p. 3208-3218 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

    Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

    45 Citations (Scopus)

  • Rapidly adaptable automated interpretation of point-of-care COVID-19 diagnostics

    Arumugam, S., Ma, J., Macar, U., Han, G., McAulay, K., Ingram, D., Ying, A., Chellani, H. H., Chern, T., Reilly, K., Colburn, D. A. M., Stanciu, R., Duffy, C., Williams, A., Grys, T., Chang, S.-F. & Sia, S. K., 2023, In: Communications Medicine. 3, 91.

    Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

    Open Access
    File
    7 Citations (Scopus)
    5 Downloads (CityUHK Scholars)

  • Supervised Masked Knowledge Distillation for Few-Shot Transformers

    Lin, H., Han, G., Ma, J., Huang, S., Lin, X. & Chang, S.-F., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. IEEE, p. 19649-19659 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

    Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

    35 Citations (Scopus)

  • TempCLR: Temporal Alignment Representation with Contrastive Learning

    Yang, Y., Ma, J., Huang, S., Chen, L., Lin, X., Han, G. & Chang, S.-F., 2023, 11th International Conference on Learning Representations. International Conference on Learning Representations, ICLR, 26 p. (International Conference on Learning Representations, ICLR).

    Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

    6 Citations (Scopus)
View all 20 research outputs