I'm Xue Li.-image

I'm Xue Li.

I'm a UK based PostDoctoral Researcher, currently working at misinformation detection, knowledge representation and automating logical theory repairing.

about-me-image

About me

I am a postdoctoral researcher working in AI having expertise in a wide range of related areas including formal logic, automated reasoning and natural language processing. I am passionate about engaging in both academic and industry collaborations, supervision and teaching.

  • Employment:University of Edinburgh
  • Email:xue.shirley.li@ed.ac.uk
  • Location:Edinburgh, UK
  • Interests:Reading, Jogging, Hiking, Knitting, DIY

Education

Masters in Psychology (Conversion, Part-time)

Edinburgh, UKSeptember 2023 - Now

I am studying Psychology part-time with a scholarship from the School of Informatics, the University of Edinburgh. Mental health plays such an important role in human's daily life. Better mental health support will hugely improve lots of people's well-being. However, support from human experts is limited compared with the need in society. Thus, I hope to apply AI technologies to assist Psychological experts for better mental health support. To make a better combination of AI with Psychology, I decided to take this MSc course to learn the knowledge from the field of Psychology.

PhD in Artificial Intelligence

School of Informatics, the University of EdinburghJune 2016 - June 2021

A domain-independent algorithm was developed for repairing faulty Datalog-like theories by combining three existing techniques: abduction, belief revision and conceptual change (ABC). Based on devised mathematical models, the ABC system repairs faulty theories with better results than the individual techniques it combines because of its various operations: 1) add/delete axioms; 2) add/delete preconditions from rules; 3) change the language of the theory. Furthermore, ABC has wide applications, e.g. modelling game theory by abductively explaining given observations; root-cause analysis in system maintenance, and it has the potential to be extended to data in other formats.

Masters in Electronic and Communication Engineering

Harbin Institute of Technology, ChinaSeptember 2011 - July 2013

I studied courses including Signoal Detection and Processing; Rada Systems, ect. My dissertation was about the development of a software system with UI, which forecasts the power range of high- frequency surface wave radar (HFSWR). Based on the mechanism of HFSWR detection, simulation models were established for the surface wave propagation, target echo, clutter jamming (environmental noise and sea clutter) and the signal-noise ratio of HFSWR. It was implemented in C/C# and Fortran languages. As a result, the user interface software predicts the scope of HFSWR.

Undergraduate in Communication Engineering

Harbin University of Science and Technology, ChinaSeptember 2007 - July 2011

I learnt foundation courses including Physics; Advanced Mathmatics and electrical engineering, ect. My dissertation was about the development of a face recognition algorithm based on machine learning was implemented based on machine learning algorithms, Discrete Cosine Transformation and Principal Component Analysis, in MATLAB.

Experience

PostDoctoral Researcher

School of Informatics, the University of EdinburghFeburary 2021 - Present

Conducting Research and supervising students based on projects including 1) Extending the ABC automated repair system to address system failures based on the Knowledge Graphs; 2) Applying the ABC automated theory repairing system to legislation revision for autonomous vehicles; 3) Applying large lanugage models to detecting misinformation in counterfactual conditional claims.

Researcher Internship

Huawei Technologies Research & Development (UK) LtdNovember 2019 - Feb 2021

Worked as an intern researcher on 1) aligning different knowledge graphs; 2) Analysing peer products to seek for new features; 3) Communicating with with other teams w.r.t. project development.

Software Engineer

TheoryMine Ltd. (UK, Part-time)April 2017 – June 2018

Developed scripts which generate Chinese versions of theorem certificates, as well as essential web maintenance.

Software Engineer

Huawei Technologies Co., Ltd.July 2015 - August 2013

My main work included software development and project management.

Languages

Mandarin
English

Projects

Misinformation Detection via LLM

Superviser: Björn Ross (Primary), Vashak BelleApril 2022 - December 2024

By integrating approaches from different subfields of computer science, namely, computational logic, deep learning, natural language processing and knowledge graphs (KGs), I am developing a detector to debunk misinformation on social media. Particularly, I focus on claims that involve the logic of causality. (e.g. “this would never have happened if…”).

Automated theory repair in legislation revision

Superviser: Alan Bundy (Primary)October 2023 - April 2024

I supervised two Research Assistants and we conducted case studies on the application of the ABC repair system, an AI theory repair tool, to assist in constructing laws for autonomous vehicles (AVs) and adapting the system design of AVs to respect corresponding laws based on AVs’ simulations.

TREAT

Superviser: Alan Bundy (Primary); Jeff PanFeb 2021 - Feb 2022 (Part-time)

I applied the ABC repair system to the root-cause analysis of system failures, which detects and adds missing information first and then suggests solutions to repair root causes. As the maintenance of a large system is expensive, our work contributes to making the task interactive between the ABC system and domain experts. Our team also worked on automatic KG construction with probabilities.

Automating theory repair

Primary Superviser: Alan Bundy June 2016 - November 2020

My second supervisors were Ewen Maclean (2016); Alan Smaill (2017-2019) and Eugene Philalithis (2019-2020). In this project, a domain-independent algorithm was developed for repairing faulty Datalog-like theories by combining three existing techniques: abduction, belief revision and conceptual change (ABC). Based on devised mathematical models, the ABC system repairs faulty theories with better results than the individual techniques it combines because of its various operations: 1) add/delete axioms; 2) add/delete preconditions from rules; 3) change the language of the theory. Furthermore, ABC has wide applications, e.g. modelling game theory by abductively explaining given observations; root-cause analysis in system maintenance, and it has the potential to be extended to data in other formats.

Other Activities

Talks coordinator for the Neuro-Symbolic AI Group in the Alan Turing Institute.

June 2024- Now

Guest Speaker at the course on Evidence, Argument and Persuasion in a Digital Age (EFI).

Jan 2023 - Now

Guest Editor of Machine Learning Journal, Special Issue.

Jan 2023 - Now

Co-organiser of the International CogAI 2023 Workshop.

Jan 2023 - Feb2024

Primary or Second Supervisor of MSc and Undergraduate Projects.

Jan 2021 - Now

Publications

MisCC: Misinformation Detection on Counterfactual Claims

Xue Li, Vashak Belle, Björn RossSpringer Proceedings of the 4th International Joint Conference on Learning & Reasoning (IJCLR), 2024

Formalise Regulations for Autonomous Vehicles with Right-open Temporal Deontic Defeasible Logic

Pak Yin Chan, Xue Li, Yiwei Lu, Yuhui Lin, Alan BundyThe Forty-fourth SGAI International Conference, 2024

Assessing the Quality of a Knowledge Graph via Link Prediction Tasks

Ricky Zhu, Alan Bundy, Fangrong Wang, Xue Li, Kuwabena Nuamah, Lei Xu, Stefano Mauceri, Jeff Z PanProceedings of the 2023 7th International Conference on Natural Language Processing and Information Retrieval. Association for Computing Machinery

An overview of using large language models for the symbol grounding task in ABC repair system

Pak Yin Chan, Xue Li, Alan BundyThe Cognitive AI International Workshop 2023

Automating Theory Repair in First Order Logic

Wan Ki Wong, Xue Li, Alan BundyThe Cognitive AI International Workshop 2023

Logic and Theory Repair in Legal Modification

Yiwei Lu*, Yuhui Lin, Xue Li*, Alan Bundy, Burkhard Schafer, Andrew IrelandThe Cognitive AI International Workshop 2023

A Web-based Tool for Detecting Argument Validity and Novelty

S Chausson, A Saadat-Yazdi, X Li, JZ Pan, V Belle, N Kökciyan, B RossInternational Conference on Autonomous Agents and Multiagent Systems. Richland, SC: International Foundation for Autonomous Agents and Multiagent Systems, p. 3053–3055 3 p.

Benchmark based vitality of axioms and preconditions for datalog theory repair

X Li, A Bundy, R Zhu, E ACThe Tenth Annual Conf. on Advances in Cognitive Systems

A Closer Look at Probability Calibration of Knowledge Graph Embedding

R Zhu, F Wang, A Bundy, X Li, K Nuamah, L Xu, S Mauceri, JZ PanInternational Joint Conference on Knowledge Graphs, IJCKG 2022. Artale, A., Calvanese, D., Wang, H. & Zhang, X. (eds.). Association for Computing Machinery, p. 104-109 6 p. (ACM International Conference Proceeding Series).

Kevin: A knowledge enhanced validity and novelty classifier for arguments

A Saadat-Yazdi, X Li, S Chausson, V Belle, B Ross, JZ Pan, N KökciyanProceedings of the 9th Workshop on Argument Mining, 104-110

TREAT: automated construction and maintenance of probabilistic knowledge bases from logs

R Zhu, X Li, F Wang, A Bundy, JZ Pan, K Nuamah, S Mauceri, L XuAnnual Conference on machine Learning, Optimization and Data science. Vol. 13810. p. 325-329 5 p. (Lecture Notes in Computer Science (LNCS); vol. 13810).

ABC in Root Cause Analysis: Discovering Missing Information and Repairing System Failures

X Li, A Bundy, R Zhu, F Wang, S Mauceri, L Xu, JZ PanProceedings of the 8th Annual Conference on Machine Learning, Optimization and Data science. Nicosia, G., Ojha, V., La Malfa, E., La Malfa, G., Pardalos, P., Di Fatta, G., Giuffrida, G. & Umeton, R. (eds.). 1 ed. Vol. 13810. p. 346-359 14 p. (Lecture Notes in Computer Science; no. 13810).

An overview of the ABC Repair System for Datalog-like Theories

X Li, A BundyInternational Workshop on Human-Like Computing (HLC 2022) 28, 30

Signature entrenchment and conceptual changes in automated theory repair

X Li, A Bundy, E PhilalithisAdvances in Cognitive System 2021 Proceedings

LEKG: a system for constructing knowledge graphs from log extraction

F Wang, A Bundy, X Li, R Zhu, K Nuamah, L Xu, S Mauceri, JZ PanProceedings of the 10th International Joint Conference on Knowledge Graphs …

Modelling virtual bargaining using logical representation change

A Bundy, E Philalithis, X LiHuman-like machine intelligence, 68-89

The use of max-sat for optimal choice of automated theory repairs

M Urbonas, A Bundy, J Casanova, X LiArtificial Intelligence XXXVII: 40th SGAI International Conference on Artificial Intelligence, AI 2020, Cambridge, UK, December 15–17, 2020, Proceedings 40

ABC Repair System for Datalog-like Theories.

X Li, A Bundy, A SmaillKEOD, 333-340
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