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Yipeng Qin   BSc (Hons), PhD, FHEA

Dr Yipeng Qin

BSc (Hons), PhD, FHEA

Senior Lecturer

School of Computer Science and Informatics

Email
QinY16@cardiff.ac.uk
Telephone
+44 29208 75537
Campuses
Abacws, Room 2.20, Senghennydd Road, Cathays, Cardiff, CF24 4AG
Users
Available for postgraduate supervision

Overview

I am the Lead of the Computer Vision Research Group of the Visual Computing research section, and a Senior Lecturer (~Associate Professor) in the School of Computer Science and Informatics. I am also a member of the EPSRC Peer Review College. I received my PhD in Computer Science from the National Centre for Computer Animation (NCCA), Bournemouth University, UK in 2017, and my BSc 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.

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. 

Publication

2024

2023

2022

2021

2020

2019

2017

2016

2015

Articles

Conferences

Research

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

  • Roadmap Development – Creating Chattable AI Personas for Museums and Archives, £4,000, PI, Digital Transformation Innovation Institute (DTII) Seedcorn Funding, No. DTIIR3SC04, Apr 2024 - Aug 2024
  • Revolutionizing Visitor Experiences of Cultural Heritage: Unleashing the Power of AI-Powered Chattable Avatars in Interactive Exhibitions, £15,000, PI, UKRI Harmonised Impact Acceleration Account (IAA), No. 521632 (525436), Nov 2023 - May 2024
  • Charting New Frontiers: An Exploratory Expedition and Pilot Study on Chattable Virtual Avatars, Unveiling Ethical and Social Dimensions in Content Delivery, £5,000, PI, GW4 Crucible 2023 Seed Funding, No. Cru23_01, Sep 2023 - Mar 2024
  • Prototyping Smart Clothes for Population-level Motion Monitoring and Analysis, £12,000, PI, Royal Society International Exchanges 2021 Cost Share (NSFC), No. IEC\NSFC\211022, Mar 2022 - Mar 2024
  • Uncovering the “Instincts” of Deep Generative Models for Fair and Unbiased Visual Content Creation, approx. £72,922, Main Supervisor, EPSRC DTP, No. EP/T517951/1 (2599521), 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

Activities/Events

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

  • 2020.10 - now, PGT Programme Lead (COMSC) of MSc Data Science and Analytics and MSc Data Analytics for Government
  • 2024.04 - now, PGT Admissions Tutor

Awards

  • Learning and Teaching Collaboration of the Year (Nomination)
    • Enriching Student Life Awards (ESLAs) 2024
    • BY: Cardiff University and Cardiff Students Union (CUSU)
  • Champion for Equality, Diversity and Inclusion (Nomination)
    • Enriching Student Life Awards (ESLAs) 2024
    • BY: Cardiff University and Cardiff Students Union (CUSU)

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

Honours and awards

  • Learning and Teaching Collaboration of the Year (Nomination)
    • Enriching Student Life Awards (ESLAs) 2024
    • BY: Cardiff University and Cardiff Students Union (CUSU)
  • Champion for Equality, Diversity and Inclusion (Nomination)
    • Enriching Student Life Awards (ESLAs) 2024
    • BY: Cardiff University and Cardiff Students Union (CUSU)

Professional memberships

  • EPSRC Peer Review College
  • Member of ACM SIGGRAPH, Computer Vision Foundation (CVF), AsiaGraphics
  • HEA Fellowship
  • British Academy Early Career Researcher Network
  • Humanities and Data Science Special Interest Group @ The Alan Turing Institute

Academic positions

Committees and reviewing

  • Area Chair: ICML 2024
  • Grant Reviewer:
    • EPSRC Peer Review College
    • Turing AI World-Leading Researcher Fellowships
    • EPSRC
    • EPSRC Additional Funding Programme for Mathematical Science
    • Belgium Concerted Research Actions (CRAs)
  • Journal Reviewer:
    • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
    • 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
    • IEEE Access
    • Image and Vision Computing
    • Frontiers in Imaging
  • Conference Program Committee (PC) Member / Reviewer:
    • ACM SIGGRAPH
    • ACM SIGGRAPH Asia
    • CVPR
    • ICCV
    • ECCV
    • NeurIPS
    • ICLR
    • ICML
    • AAAI
    • ACM MM
    • Eurographics
    • Pacific Graphics
    • BMVC
    • ACCV
    • CVM
    • CGI
    • CASA
    • IJCNN
  • Book Reviewer: CRC Press/Taylor and Francis Group

Supervisions

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
  • Zhuoling Jiang (2024/01 - now) - AI-driven NPCs for Next-Generation Gaming (School-funded)

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).
  • Nada Saad M Alharbi (2023/10 - now) - Detection of Autism Spectrum Disorder Using Deep Reinforcement Learning (co-supervised with Dr. Xianfang Sun).
  • Yang Li (2023/10 - now) - Generative Models for Architectural Facade Design (co-supervised with Dr. Bailin Deng and Prof. Wassim Jabi).

 

Current supervision

Shuang Song

Shuang Song

Graduate Demonstrator

Jinqi Wang

Jinqi Wang

Research student

Zhuoling Jiang

Zhuoling Jiang

Research student

Stephen Miles

Stephen Miles

Research student

Research themes

Specialisms

  • Artificial intelligence
  • Computer graphics
  • Computer vision
  • Machine learning
  • Human Computer Interaction