CV

A more detailed CV is available by clicking the right PDF icon.

Personal Information

Full Name Liming Xu
Position Assistant Research Professor
Pronouns He/Him/His
Contact lx249 [at] cam.ac.uk
Languages Mandarin Chinese (native), English (fluent)

Research Areas

  • Current
    • Multi-Agent Systems
    • Agentic AI
    • Autonomous Supply Chains
  • Past
    • Computer Vision
    • Metamorphic Testing
    • Human-Computer Interaction
    • Artcode Detection
    • Augmented Reality

Education

  • 2013.10-2019.03

    Nottingham, UK

    PhD, Computer Vision and Human-Computer Interaction
    University of Nottingham
  • 2009.09-2012.06

    Nanjing, China

    MRes, Computer Science (Database)
    Hohai University
    • Thesis: Node Depth-based Methods for XML Indexing and Searching
    • Supervisor: Prof Jun Feng
    • Outstanding Graduate Award
  • 2005.09-2009.06

    Nanjing, China

    Bachelor, Computer Science; Minor in Software Engineering (NIIT)
    Jinling Institute of Technology
    • Ranked 1% out of 120+ students
    • National Scholarship (0.2%)

Academic Experience

  • 2024.12-present

    Cambridge, UK

    Senior Research Associate
    Supply Chain AI Lab, University of Cambridge
    • Lead research on developing autonomous supply chains
    • Autonomous Supply Chains, Agentic AI, Knowledge Graph, and Agentic System Evaluation
    • Developed and launched the Supply Chain Data Hub
  • 2019.04-2024.11

    Cambridge, UK

    Research Associate
    Supply Chain AI Lab, University of Cambridge
    • Received 2024 IfM Postdoctoral Excellence in Research Award;
    • Lead research on multi-agent system, LLMs, and knowledge graphs and their application in supply chains and logistics;
    • Published two earliest papers on autonomous supply chains;
    • Supervise and mentor junior researchers (PhDs / MSc);
    • Formally conceptualised multi-agent autonomous supply chain systems and proposed seven supply chain autonomy levels;
    • Founding organiser for the Supply Chain and Logistics Data Challenges;
    • Lead demonstrator for AIUK 2023 and 2024.
  • 2022.02-2024.09

    Exeter, UK

    MSc Dissertation Supervisor
    Department of Engineering, University of Cambridge
    • Supervised MSc students through their final dissertation projects, guiding them in research design, technical development, and academic writing.
  • 2020.10-2023.10

    Cambridge, UK

    Tutori & Supervisor
    Pembroke College, University of Cambridge
    • Taught tutorials for 2yr Computer Science undergrads on the modules of Foundation of Data Science and Artificial Intelligence.
  • 2015.04-2019.03

    Ningbo, China

    PhD Researcher
    International Doctoral Innovation Centre (IDIC) & Artificial Intelligence and Optimisation Group (AIOP), University of Nottingham Ningbo China
    • Research topics: Artcodes, Augmented Reality, Computer Vision, Human-Computer Interaction, and Metamorphic Relations
    • Supervisor: Prof Dave Towey, Prof Andrew P. French and Prof Steve Benford
  • 2014.09-2015.06

    Nottingham, UK

    Research Associate
    Mixed Reality Laboratory (MRL), University of Nottingham
    • Carolan guitar, Artcodes
    • Worked in a multidisciplinary team comprising guitar luthier, graphic designer, and computer scientists
    • Supervised by Prof Steve Benford
  • 2013.09-2014.06

    Nottingham, UK

    PhD Student
    Horizon CDT, University of Nottingham
    • Train interdisciplinary research skills for conducting human-centric research
    • Ubiquitous Computing, Connected Computing at Scale, Emerging Technology and Society, Machine Learning, Innovation and Technology Transfer, Advanced Research Methods and Ethics, Study Human Performance
  • 2012.09-2013.09

    Nanjing, China

    Research Assistant
    Water Big Data Laboratory, Hohai University
    • XML search and indexing, database, Java development

Professional Experience

  • 2020.08-2021.06

    Cambridge, UK

    NLP & Web Developer (Temporary)
    Cambridge Service Alliance, University of Cambridge
    • Developed an interactive platform on customer relationship analysis via pretrained models
    • BERT, Churn Analysis, Sentiment Analysis, Topic Extraction, Dash, Plotly
  • 2009.03-2009.05

    Wuxi, China

    Web Developer (Internship)
    ChinaSoft International Ltd.
    • Developed an online shopping website development using Java Web Technology

Honors and Awards

  • 2024
    • IfM Postdoctoral Award for Excellence in Research, University of Cambridge
  • 2017
    • Star of Research for PhD Students Award, Faculty of Science and Engineering (FoSE), UNNC
  • 2016
    • Honorable Mentions Award, CHI'2016
  • 2013
    • IDIC Ph.D. Studentship (four-year), UNNC
  • 2012
    • Best Paper Award, CCCC’2012
    • First-class Outstanding Graduate Scholarship, Hohai University
    • Outstanding Graduate Award, Hohai University
  • 2011
    • First-class Graduate Scholarship, Hohai Univeristy
  • 2009
    • Third-class Graduate Scholarship, Hohai University
  • 2008
    • National Scholarship (awarded 0.2% undergraduates in China)
  • 2007
    • First-class Scholarship, Jinling Institute of Technology
  • 2006
    • Outstanding Student Award, Jinling Institute of Technology

Personal Interests

  • Football - Since 2022, I have managed and captained an amateur football team, overseeing player recruitment, friendly matches, and overall operations. Under my leadership, the team achieved promotion to a higher division---an unprecedented milestone in its 14-year history. I also organise weekly football activities for the wider Cambridge Chinese community, engaging several hundred members over the past four years. I am very proud of these volunteer duties, which allow me to connect with a large network of football enthusiasts who work and study at Cambridge.
  • Other interests - Cooking, Chinese Calligraphy, and Badminton. I enjoy experimenting with new recipes and sharing them with friends I also serve as the de facto organiser of social events within my current research group, having coordinated nearly all group dinners and farewell gatherings since the COVID-19 pandemic.