Projects per year
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
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Projects
- 4 Active
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R5159ECS: Artificial Intelligence for Vision Based Navigation - Externally Sponsored Studentship Agreement
21/12/2020 → …
Project: Research
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R8454ECI: Deep domain adaptation for general object classification and detection in infra-red
10/04/2019 → …
Project: Research
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R2295CEM: Improved phenotyping of microvascular changes in Diabetic Retinopathy with multi-level data.
Hogg, R., Chakravarthy, U., Hua, Y. & McKay, G.
31/05/2016 → …
Project: Research
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Fine-Grained Pose Temporal Memory Module for Video Pose Estimation and Tracking
Wang, C., Hua, Y., Song, T., Xue, Z., Ma, R., Robertson, N. & Guan, H., 13 May 2021, 2021 IEEE International Conference on Acoustics, Speech and Signal Processing: Proceedings. IEEE Signal Processing Society, (IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection
Sun, G., Hua, Y., Hu, G. & Robertson, N., 18 May 2021, 35th AAAI Conference on Artificial Intelligence: Proceedings. 3;AAAI-21 Technical Tracks 3 ed. Vol. 35. p. 2620-2627 (Proceedings of the AAAI Conference on Artificial Intelligence ).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile2 Downloads (Pure) -
ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks
Wang, X., Hua, Y., Kodirov, E., Clifton, D. & Robertson, N., 01 Mar 2021, (Accepted) 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR): Proceedings. 10 p. (Conference on Computer Vision and Pattern Recognition (CVPR)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Ranked List Loss for Deep Metric Learning
Wang, X., Hua, Y., Kodirov, E. & Robertson, N., 24 Mar 2021, (Early online date) In: IEEE Transactions on Pattern Analysis and Machine Intelligence.Research output: Contribution to journal › Article › peer-review
Open AccessFile18 Downloads (Pure) -
Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization
Zhang, J., Hua, Y., Xue, Z., Song, T., Zheng, C., Ma, R. & Guan, H., 03 Mar 2021, (Accepted) 2021 IEEE Conference on Computer Vision and Pattern Recognition (CVPR): Proceedings. (IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Prizes
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Joint Winner of PASCAL VOC Challenge Classification Competition 2010
Hua, Yang (Recipient), 2010
Prize: Prize (including medals and awards)
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Joint Winner of PASCAL VOC Challenge Classification Competition 2011
Hua, Yang (Recipient), 2011
Prize: Prize (including medals and awards)
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Joint winner of PASCAL VOC Challenge Classification Competition 2012
Hua, Yang (Recipient), 2012
Prize: Prize (including medals and awards)
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Student grant of European Conference on Computer Vision 2014
Hua, Yang (Recipient), 2014
Prize: Prize (including medals and awards)
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University’s STAR (Staff Recognition), Queen's University Belfast
Hua, Yang (Recipient), 2019
Prize: Prize (including medals and awards)
Activities
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Low cost Virtual Reality for the Treatment of PTSD
Paul Best (Recipient), John D'Arcy (Recipient), Yang Hua (Recipient), Tom Van Daele (Recipient) & Chris Thomas (Recipient)
01 Feb 2021 → 30 Jan 2022Activity: Other activity types › Other
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IEEE Conference on Computer Vision and Pattern Recognition 2020 (Event)
Yang Hua (Peer reviewer)
14 Jun 2020 → 19 Jun 2020Activity: Publication peer-review and editorial work types › Publication peer-review
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Shanghai Jiao Tong University
Yang Hua (Visiting researcher)
02 Jan 2020 → 10 Jan 2020Activity: Visiting an external institution types › Visiting an external academic institution
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IEEE Transactions on Pattern Analysis and Machine Intelligence (Journal)
Yang Hua (Peer reviewer)
17 Apr 2020 → …Activity: Publication peer-review and editorial work types › Publication peer-review
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Face Recognition Using Feature Fusion and Deep Learning
Yang Hua (Examiner)
11 Mar 2020Activity: Examination types › PhD external examination