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Prof. Jianyuan GUO, 郭健元

  • YEUNG-Y6420

Accepting PhD Students

Calculated based on number of publications stored in Pure and citations from Scopus
20192025

Research activity per year

Personal profile

Author IDs

ORCID iD: 0000-0002-2981-1953
Scopus Author ID: 57199409057
Google Scholar Profile: UnAbd4gAAAAJ

Impact

Metrics for Academic and Research Impact

Biography

Jianyuan Guo is an Assistant Professor at the Department of Computer Science, City University of Hong Kong (CityU). He received his BS and MS degrees from the School of EECS, Peking University, and his PhD from the School of Computer Science, University of Sydney.

Dr. Guo’s research focuses on developing efficient machine perception algorithms to enhance and augment human intelligence. Specifically, his work includes novel neural architectures in computer vision and natural language processing, compact large vision models, large language models, and efficient multimodal processing and understanding.

Recruitment: I am looking for self-motivated PhD/MPhil/RA to work with me on Computer Vision and Multimodal Understanding. Feel free to send me an email with your CV, transcript, and research proposal.

Position(s) Available

I am looking for self-motivated PhD/MPhil/RA students. If you are interested in computer vision, vision-language model, or efficient neural networks, feel free to send me an email with your CV, transcript, and research proposal.

Research Interests/Areas

Computer Vision; Natural Language Processing; Vision-Language Model; Efficient Neural Network; Model Compression

Related Links

Education/Academic qualification

PhD, B.S. M.S. Peking University, PhD University of Sydney

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Collaborations from the last five years

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  • 13 RGC 32 - Refereed conference paper (with host publication)
  • 1 RGC 32 - Refereed conference paper (without host publication)
  • 1 RGC 21 - Publication in refereed journal

  • ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language Tuning

    Hao, Z., Guo, J., Shen, L., Luo, Y., Hu, H. & Wen, Y., 3 May 2025, (Online published) In: International Journal of Computer Vision.

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

  • Data-efficient Large Vision Models through Sequential Autoregression

    Hao, Z., Guo, J. (Co-first Author), Wang, C., Tang, Y., Wu, H., Hu, H., Han, K. & Xu, C., 21 Jul 2024, Proceedings of the 41st International Conference on Machine Learning. Salakhutdinov, R., Kolter, Z., Heller, K., Weller, A., Oliver, N., Scarlett, J. & Berkenkamp, F. (eds.). United States: ML Research Press, p. 17572-17596 25 p. (Proceedings of Machine Learning Research; vol. 235).

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

    Open Access

  • GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer

    Jia, D. (Co-first Author), Guo, J. (Co-first Author), Han, K., Wu, H., Zhang, C., Xu, C. & Chen, X., 21 Jul 2024, ICML'24: Proceedings of the 41st International Conference on Machine Learning. Salakhutdinov, R., Kolter, Z., Heller, K., Weller, A., Oliver, N., Scarlett, J. & Berkenkamp, F. (eds.). JMLR.org, p. 21753-21767 15 p. 873. (Proceedings of Machine Learning Research; vol. 235).

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

    3 Citations (Scopus)

  • ParameterNet: Parameters Are All You Need for Large-scale Visual Pretraining of Mobile Networks

    Han, K. (Co-first Author), Wang, Y. (Co-first Author), Guo, J. (Co-first Author) & Wu, E., Jun 2024, Proceedings: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024. IEEE Computer Society, p. 15751-15761 11 p. (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

    32 Citations (Scopus)

  • PrimKD: Primary Modality Guided Multimodal Fusion for RGB-D Semantic Segmentation

    Hao, Z. (Co-first Author), Xiao, Z. (Co-first Author), Luo, Y., Guo, J., Wang, J., Shen, L. & Hu, H., 28 Oct 2024, MM '24: Proceedings of the 32nd ACM International Conference on Multimedia. Association for Computing Machinery, p. 1943-1951 9 p.

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

    Open Access
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    11 Downloads (CityUHK Scholars)
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