Dr Yipeng Qin
Lecturer
- qiny16@cardiff.ac.uk
- +44 (0)29 2087 5537
- 2.20, Abacws, Senghennydd Road, Cathays, Cardiff, CF24 4AG
- Available for postgraduate supervision
Overview
I am a lecturer in the School of Computer Science and Informatics, and a member of the Visual Computing research group. I received my PhD in Computer Science from National Centre for Computer Animation (NCCA), Bournemouth University, UK in 2017 and my B.Eng. in Electrical Engineering from Shanghai Jiao Tong University, China in 2013.
My research interests are centred around machine learning and its applications in computer vision, computer graphics, human-computer interactions, etc. My current research revolves around the following three themes: i) unboxing the deep learning black-box, ii) creative artificial intelligence (AI) and iii) prototyping wearable devices for motion monitoring and analysis. I am also interested in other related topics like semantic segmentation, domain adaptation, semi-supervised learning, etc.
Please see my personal webpage for more information. All kinds of collaboration are welcome!
For CSC applicants: Cardiff University benefits from an official partnership with China Scholarship Council (CSC). If you are interested in doing research with me, please contact me via email as soon as possible as additional deadlines/steps may apply.
Biography
Education and Qualifications
- 2017: PhD in Computer Science, National Centre for Computer Animation, Bournemouth University, UK
- 2013: BEng in Electrical Engineering, Shanghai Jiao Tong University, China
Career overview
- 2019 - present: Lecturer, Cardiff University, UK
- 2017 - 2019: Postdoctoral Research Fellow, Visual Computing Center, King Abdullah University of Science and Technology, Saudi Arabia
Professional memberships
- Member of ACM SIGGRAPH, Computer Vision Foundation (CVF), AsiaGraphics
- HEA Fellowship
Academic positions
- 2019 - present: Lecturer, Cardiff University, UK
- 2017 - 2019: Postdoctoral Research Fellow, Visual Computing Center, King Abdullah University of Science and Technology, Saudi Arabia
Committees and reviewing
- Journal Reviewer: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), ACM Transactions on Graphics (TOG), IEEE Transactions on Image Processing (TIP), IEEE Transactions on Visualization and Computer Graphics (TVCG), Computer Graphics Forum (CGF), Pattern Recognition, Neurocomputing, Computers & Graphics, Frontiers in Imaging.
- Conference Program Committee (PC) Member / Reviewer: ACM SIGGRAPH, ACM SIGGRAPH Asia, CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, AAAI, Eurographics, BMVC, CVM, CGI, IJCNN
- Grant Reviewer: EPSRC, EPSRC Additional Funding Programme for Mathematical Science, Belgium Concerted Research Actions (CRAs)
Publications
2023
- Fang, F. et al. 2023. Handwriting velcro: Endowing AR glasses with personalized and posture-adaptive text input using flexible touch sensor. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 6(4), pp. 1-31., article number: 163. (10.1145/3569461)
2022
- Chen, X. et al. 2022. Full-body human motion reconstruction with sparse joint tracking using flexible sensors. ACM Transactions on Multimedia Computing, Communications, and Applications (10.1145/3564700)
- Poudevigne-Durance, T., Jones, O. D. and Qin, Y. 2022. MaWGAN: a generative adversarial network to create synthetic data from datasets with missing data. Electronics 11(6), article number: 837. (10.3390/electronics11060837)
- Yan, Z., Wu, Y., Li, G., Qin, Y., Han, X. and Cui, S. 2022. Multi-level consistency learning for semi-supervised domain adaptation. Presented at: 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022), Vienna, Austria, 23-29 July 2022.
- Liang, Y., Wu, J., Lai, Y. and Qin, Y. 2022. Exploring and exploiting hubness priors for high-quality GAN latent sampling. Presented at: The 39th International Conference on Machine Learning (ICML 2022), Baltimore, Maryland USA, 17-23 July 2022, Vol. 162.
- Chen, C., Shi, X., Qin, Y., Li, X., Yang, T., Han, X. and Guo, S. 2022. Real-world blind super-resolution via feature matching with implicit high-resolution priors. Presented at: the 30th ACM International Conference on Multimedia (ACMMM 2022), Lisbon, Portugal, 10 - 14 October 2022Proceedings of the 30th ACM International Conference on Multimedia (ACMMM 2022). ACM
- Yu, X., Tang, J., Qin, Y., Li, C., Han, X., Bao, L. and Cui, S. 2022. PVSeRF: joint pixel-, voxel- and surface-aligned radiance field for single-image novel view synthesis. Presented at: 30th ACM International Conference on Multimedia (ACMMM 2022), Lisbon, Portugal, 10 - 14 October 2022Proceedings ACMMM 2022 : 30th ACM International Conference on Multimedia. New York: ACM, (10.1145/3503161.3547893)
- Zhao, G., Li, G., Qin, Y., Liu, F. and Yu, Y. 2022. Centrality and consistency: two-stage clean samples identification for learning with instance-dependent noisy labels. Presented at: European Conference on Computer Vision (ECCV 2022), Tel Aviv, Israel, 23-27 October 2022.
2021
- Yan, Z., Yu, X., Qin, Y., Wu, Y., Han, X. and Cui, S. 2021. Pixel-level intra-domain adaptation for semantic segmentation. Presented at: ACM Multimedia 2021, Chengdu, China, 20-24 October 2021MM '21: Proceedings of the 29th ACM International Conference on Multimedia. ACM pp. 404-413., (10.1145/3474085.3475174)
- Zhu, Z. et al. 2021. Robust elbow angle prediction with aging soft sensors via output-level domain adaptation. IEEE Sensors Journal 21(20), pp. 22976-22984. (10.1109/JSEN.2021.3091004)
- Su, J., Gao, X., Qin, Y. and Guo, S. 2021. Correcting corrupted labels using mode dropping of ACGAN. Presented at: 15th International Symposium on Medical Information and Communication Technology (ISMICT 2021), Xiamen, China, 14-16 April 20212021 15th International Symposium on Medical Information and Communication Technology (ISMICT). IEEE pp. 98-103., (10.1109/ISMICT51748.2021.9434911)
- Chen, Z., Chen, X., Ma, Y., Guo, S., Qin, Y. and Liao, M. 2021. Human posture tracking with flexible sensors for motion recognition. Computer Animation and Virtual Worlds (10.1002/cav.1993)
2020
- Qin, Y., Mitra, N. and Wonka, P. 2020. How does Lipschitz regularization influence GAN training?. Presented at: 16th European Conference on Computer Vision (ECCV 2020), Glasgow, Scotland, 23-28 August 2020 Presented at Vevaldi, A. et al. eds.Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XVI. Lecture Notes in Computer Science Springer pp. 310-326., (10.1007/978-3-030-58517-4_19)
- Abdal, R., Qin, Y. and Wonka, P. 2020. Image2StyleGAN++: how to edit the embedded images?. Presented at: Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, Washington, USA, 16-18 June 2020.
- Zhu, P., Abdal, R., Qin, Y. and Wonka, P. 2020. SEAN: image synthesis with semantic region-adaptive normalization. Presented at: Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, Washington, USA, 14-19 June 2020.
2019
- Abdal, R., Qin, Y. and Wonka, P. 2019. Image2StyleGAN: How to embed images into the styleGAN latent space?. Presented at: International Conference on Computer Vision (ICCV) 2019, Seoul, South Korea, 27 October 2019 - 3 November 2019Proceedings of the International Conference on Computer Vision (ICCV) 2019. IEEE pp. 4431-4440., (\10.1109/ICCV.2019.00453)
2017
- Qin, Y., Yu, H. and Zhang, J. 2017. Fast and memory-efficient Voronoi diagram construction on triangle meshes. Computer Graphics Forum 36(5), pp. 93-104. (10.1111/cgf.13248)
2016
- Qin, Y., Han, X., Yu, H., Yu, Y. and Zhang, J. 2016. Fast and exact discrete geodesic computation based on triangle-oriented wavefront propagation. ACM Transactions on Graphics 35(4), article number: 125. (10.1145/2897824.2925930)
2015
- Yu, H., Qin, Y. and Zhang, J. J. 2015. Eigenspace-based surface completeness. Journal of Electronic Imaging 24(2), article number: 23037. (10.1117/1.JEI.24.2.023037)
Teaching
Modular Teaching
- 2021/22 - now, CMT307 Applied Machine Learning
- 2021/22 - now, CMT316 Applications of Machine Learning: Natural Language Processing/Computer Vision
- 2019/20 - now, CM1205 Architecture and Operating Systems, Module Lead
Administrative Role
- 2020/21 - now, PGT Programme Lead (COMSC) of MSc Data Science and Analytics and MSc Data Analytics for Government
My research interests are centered around machine learning (ML) and its applications in computer vision (CV), computer graphics (CG), human-computer interactions (HCI), etc. My current research revolves around the following three themes:
- Unboxing the deep learning black-box, which aims to understand the training dynamics of various deep neural networks, e.g. Generative Adversarial Networks (GANs).
- Creative Artificial Intelligence (AI), including GAN inversion, region-wise image disentanglement for diverse and controllable image synthesis/manipulation, etc.
- Prototyping wearable devices for motion monitoring and analysis, which aims to model the relationships between sensor signals and human motion using machine learning. This is collaborative research with Prof. Shihui Guo from Xiamen University, China.
I am also interested in other related topics like semantic segmentation, domain adaptation, semi-supervised learning, etc.
Current Projects
- Prototyping Smart Clothes for Population-level Motion Monitoring and Analysis, £12,000, PI, Royal Society, Mar 2022 - Mar 2024
- Uncovering the “Instincts” of Deep Generative Models for Fair and Unbiased Visual Content Creation, Main Supervisor, EPSRC DTP, Oct 2021 - Mar 2025
Previous Projects
- Sensor Layout Optimization for 3D Body Shape Reconstruction, £3,200, PI, Cardiff-Xiamen University Research Collaboration Funding, Jul 2020 - Aug 2020
Supervision
I am interested in supervising PhD students in the areas of:
- AI for Generative Modelling
- Image Synthesis and Manipulation
- Interpretable ML/AI for Visual Content Generation
- Bias and Fairness in AI
- 3D Geometry Processing
For CSC applicants: Cardiff University benefits from an official partnership with China Scholarship Council (CSC). If you are interested in doing research with me, please contact me via email as soon as possible as additional deadlines/steps may apply.
Current PhD Supervision
- Stephen Miles (2021/07 - now) - Image Restoration with Deep Learning (Part-time).
- Yuanbang Liang (2021/10 - now) - Uncovering The “instincts” Of Deep Generative Models For Fair And Unbiased Visual Content Creation (EPSRC DTP).
- Shuang Song (2021/10 - now) - A Novel Depth Estimation Network For Image Stitching (CSC).
- Jinqi Wang (2022/10 - now) - AI-based Anime Content Creation
Co-supervision
- Xin Zhao (2019/10 - now) - Eye Attentive Prediction From The Medical Professionals In The Medical Image (co-supervised with Dr. Hantao Liu).
- Thomas Poudevigne-Durance (2019/10 - now) - Generative Adversarial Networks For Rare Event Augmentation (co-supervised with Prof. Owen Jones, School of Mathematics).
- Hateef Alshewaier (2021/04 - now) - Ensemble Methods For Multimedia Data Classification (co-supervised with Dr. Xianfang Sun).
- Ebtihal Alwadee (2021/10 - now) - Novel Adaptive Down-Sample Neural Network Classification For Detecting Brain Tumour From Mri Brain Images (co-supervised with Dr. Frank Langbein and Dr. Xianfang Sun).