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Dr Yipeng Qin

Dr Yipeng Qin

Lecturer

School of Computer Science and Informatics

Email
qiny16@cardiff.ac.uk
Telephone
+44 (0)29 2087 5537
Campuses
2.20, Abacws, Senghennydd Road, Cathays, Cardiff, CF24 4AG
Users
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 ii) 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

Professional memberships

  • Member of ACM SIGGRAPH, Computer Vision Foundation (CVF)
  • HEA Fellowship

Academic positions

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), Neurocomputing
  • Conference Reviewer: ACM SIGGRAPH, ACM SIGGRAPH Asia, CVPR, NeurIPS, ICLR, AAAI, Eurographics, BMVC, CVM, IJCNN
  • Grant Reviewer: EPSRC

Publications

2021

2020

2019

2017

2016

2015

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

  • Uncovering the “Instincts” of Deep Generative Models for Fair and Unbiased Visual Content Creation, Main Supervisor, EPSRC DTP, Oct 2021 - Mar 2025

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.