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Yang Hua

Dr

 https://orcid.org/0000-0001-5536-503X

  • Room 02.020 - Titanic Quarter - ECIT

    United Kingdom

Accepting PhD Students

PhD projects

"Artificial Intelligence for Vision Based Navigation" funded by EPSRC DTP Studentship with the sponsor company top-up, commences on 1 October 2020. Benefits - 3.5-year full tuition fee and stipend supported by EPSRC DTP scholarship (around £19,336 per year), plus sponsor company additional top-up (£5,400 per year) - Sufficient hardware resource - Working within a vibrant research and engineering team; Having the opportunity to convert your research outputs to the impact on the real-world applications; Having the opportunity to conduct 1 visit per year to the industrial partner Eligibility for both fees, maintenance and top-up depends on the applicants being either an ordinary UK resident or those EU residents who have lived permanently in the UK for the 3 years immediately preceding the start of the studentship. Non UK residents who hold EU residency may also apply but if successful may receive fees only. Please contact me if you are interested in this position.

20142020

Research output per year

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Personal profile

Research Interests

My interests focus on fundamental research topics and real-world applications in computer vision and machine learning, specifically,

  • Visual recognition and video understanding
  • Visual learning with limited labeled data
  • Robust representative learning and its interpretations
  • Hardware-aware machine learning

Teaching

  • [2019 Fall]: How to do research (Half-day course, PhD Structured Development)
  • [2019 Fall]: Database and Programming Fundamentals (DSA8002, MSc in Data Analytics)
  • [2018 Fall]: How to do research (Half-day course, PhD Structured Development)
  • [2018 Fall]: Database and Programming Fundamentals (DSA8002, MSc in Data Analytics)
  • [2018 Spring]: How to do research (Half-day course, PhD Structured Development)
  • [2017 Fall]: Database and Programming Fundamentals (DSA8002, MSc in Data Analytics)

Other

Academic Personal Webpage

 

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Projects

R8454ECI: Deep domain adaptation for general object classification and detection in infra-red

Robertson, N. & Hua, Y.

10/04/2019 → …

Project: Research

Research Output

An RSS-Based Classification of User Equipment Usage in Indoor Millimeter Wave Wireless Networks Using Machine Learning

Zhang, L., Hua, Y., Cotton, S. L., YOO, SEONG. KI., DA SILVA, CLAUDIO. R. C. M. & Scanlon, W. G., 13 Jan 2020, In : IEEE Access. 8, p. 14928-14943 16 p.

Research output: Contribution to journal › Article

Open Access
File
    • 20 Downloads (Pure)

    Object-adaptive LSTM network for real-time visual tracking with adversarial data augmentation

    Du, Y., Yan, Y., Chen, S. & Hua, Y., Apr 2020, In : Neurocomputing. 384, p. 67-83

    Research output: Contribution to journal › Article

    • Ranked List Loss for Deep Metric Learning

    Wang, X., Hua, Y., Kodirov, E., Hu, G., Garnier, R. & Robertson, N. M., 09 Jan 2020, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2019): Proceedings. (IEEE/CVF Conference on Computer Vision and Pattern Recognition: Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    File

    • Deep Learning based Fetal Middle Cerebral Artery Segmentation in Large-scale Ultrasound Images

    Wang, S., Hua, Y., Cao, Y., Song, T., Xue, Z., Gong, X., Wang, G., Ma, R. & Guan, H., 24 Jan 2019, The IEEE International Conference on Bioinformatics and Biomedicine: Proceedings. IEEE , p. 532-539 8 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    File
    • 260 Downloads (Pure)

    Deep Metric Learning by Online Soft Mining and Class-Aware Attention

    Wang, X., Hua, Y., Kodirov, E., Hu, G. & Robertson, N., 2019, AAAI-19: The Thirty-Third AAAI Conference on Artificial Intelligence: Proceedings. Association for the Advancement of Artificial Intelligence (AAAI), p. 5361-5368 8 p. (AAAI Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    File
    • 29 Downloads (Pure)

    Prizes

    Joint Winner of PASCAL VOC Challenge Classification Competition 2010

    Yang Hua (Recipient), 2010

    Prize: Prize (including medals and awards)

    Joint Winner of PASCAL VOC Challenge Classification Competition 2011

    Yang Hua (Recipient), 2011

    Prize: Prize (including medals and awards)

    Joint winner of PASCAL VOC Challenge Classification Competition 2012

    Yang Hua (Recipient), 2012

    Prize: Prize (including medals and awards)

    Student grant of European Conference on Computer Vision 2014

    Yang Hua (Recipient), 2014

    Prize: Prize (including medals and awards)

    University’s STAR (Staff Recognition), Queen's University Belfast

    Yang Hua (Recipient), 2019

    Prize: Prize (including medals and awards)

    • Activities

    IEEE Conference on Computer Vision and Pattern Recognition 2020 (Event)

    Yang Hua (Peer reviewer)
    14 Jun 2020 → 19 Jun 2020

    Activity: Publication peer-review and editorial work types › Publication peer-review

    European Conference on Computer Vision 2020 (Event)

    Yang Hua (Peer reviewer)
    23 Aug 2020 → 28 Aug 2020

    Activity: Publication peer-review and editorial work types › Publication peer-review

    Shanghai Jiao Tong University

    Yang Hua (Visiting researcher)
    02 Jan 2020 → 10 Jan 2020

    Activity: Visiting an external institution types › Visiting an external academic institution

    AAAI Conference on Artificial Intelligence (AAAI-20) (Event)

    Yang Hua (Peer reviewer)
    07 Feb 2020 → 12 Feb 2020

    Activity: Publication peer-review and editorial work types › Publication peer-review

    International Joint Conference on Artificial Intelligence 2020 (Event)

    Yang Hua (Peer reviewer)
    11 Jul 2020 → 17 Jul 2020

    Activity: Publication peer-review and editorial work types › Publication peer-review