Human-AI Teaming

I am currently an Associate Professor in the School of Computer Science at the University of Nottingham in Nottingham, UK. This is my research group page (to be updated).

My main research interest is Data Science, particularly human-centred machine learning that combines algorithms with human expertise. This is known as Visual Analytics and effective for Big Data such as social media (some examples). I received a few awards and funding for my work. Drop me an email at kai.xu@nottingham.ac.uk for any question.

There are fully funded PhD positions starting September 2023 (see the Projects page for details). It will be a big plus if you have industry programming experience or equivalent (such as open-source project experience). I would recommend start with an intern project, which can be done remotely online. For project ideas, again have a look of the Projects page.

Funding

RAMP VIS – Visual Analytics for Covid-19 (2021-2022, £430,000)15 February 2021
EPSRC, 2021-2022, £430,000 This is a collaborative efforts with many visualisation researchers across the UK to provide visual analytics support in the fight against Covid-19. It started as a volunteer […]
God, the Oracle, and the Nightclub Bouncer: Can human dignity be modelled in an AI-based decision support system for post-Covid health certification (2020-2021, £50,000)6 December 2020
Funder: ESPRC Network Plus SPRITE+ Date: 2020 – 2021 Funding: £50,000 Partner: Birmingham City University, King’s College London, Cardiff University, University of Exeter, Trilateral Research Ltd. In this project we […]
Behaviour analytics for defence and security (2019, £80,000)8 November 2020
Funder: Defence Science and Technology Laboratory (Dstl), UK Date: 2019 Funding: £80,000 Partner: MASS Ltd In this project, we use the human-machine teaming approach to design a new visual analytics […]

Papers

Provectories: Embedding-based Analysis of Interaction Provenance Data23 November 2021
IEEE Transaction on Visualisation and Computer Graphics (TVCG) Understanding user behavior patterns and visual analysis strategies is a long-standing challenge. Existing approaches rely largely on time-consuming manual processes such as […]
RAMPVIS: Answering the Challenges of Building Visualisation Capabilities for Large-scale Emergency Responses27 September 2021
Epidemics (journal) This paper describes the collaborative efforts from the RAMPVIS consortium to help the epidemiologists modelling the various aspects of Covid19, including the spread of the disease and the […]
Survey on the Analysis of User Interactions and Visualization Provenance (EuroVis/Computer Graphics Forum)8 November 2020
EuroVis/Computer Graphics Forum 2020 There is fast-growing literature on provenance-related research, covering aspects such as its theoretical framework, use cases, and techniques for capturing, visualizing, and analyzing provenance data. As […]

Services

PC co-chair for Computer Graphics and Visual Computing (CGVC) 202116 March 2021
The Computer Graphics and Visual Computing (CGVC) conference is the annual conference organised by EuroGraphics UK chapter. It covers everything Visualisation related, including graphics, games, AR/VR, and data visualisation. This […]
Expert Fellow of the EPSRC SPRITE+ Network28 February 2021
SPRITE+ is a research network funded by EPSRC, the UK research council on engineering and physical sciences. The focus of the research network is ‘Security, Privacy, Identity, Trust in the […]
Co-chair for Workshop on Provenance and Visualization (ProvViz) 202120 November 2020
The workshop is part of the Provenance Week, which is the leading international conference on anything provenance related (theory, application, practice, etc.). As the name indicates, the workshop aims to […]

Projects

Visualising the Sensemaking Space23 May 2022
Background This project closely relates to the Visual Analytics for Sensemaking project. Please check that project webpage for the introduction on sensemaking. A published paper describing the idea and a […]
Human-AI Teaming31 January 2021
Background Extracting required information from documents is a common task in may research areas such as Human-Computer Interaction (HCI), Psychology, Sociology, Law, and Business. For example, in a study to […]
Visual Analytic for Sensemaking31 January 2021
Background The goal of this project is to understand how users (general public or domain experts) make sense of data using data visualisation and/or machine learning, and build tools to […]
Human-Centred Data Science23 January 2021
Background While there are some efforts to automate the process of build machine learning model (commonly known as ‘AutoML’), there are many tasks in the different stages of a data […]