Yihang Zhao (CN:赵一行)
PhD Researcher | GAI | HCI
Hi, I'm a first-year PhD student in the Distributed Artificial Intelligence Group, Department of Informatics, King's College London, supervised by Prof. Elena Simperl and Dr Albert Meroño Peñuela.
My research investigates the potential of generative AI (GAI), particularly large language models (LLMs), in collaboration with human-computer interaction (HCI) techniques to support ontology requirements engineering (ORE), with a focus on developing an AI-copilot for MuseIT to assist stakeholders in producing high-quality ontology requirements.
I hold an MSc in Data Science from King's College London with an overall grade of 80% (GPA of 4.0 out of 4.0) and a BSc in Artificial Intelligence & Computer Science from the University of Sheffield, where I was awarded an international undergraduate scholarship.
You’re welcome to visit my LinkedIn, Google Scholar, ORCiD. My office hours: Tuesday, 11am-13pm (Email appointment), BH (N) 6th floor
I welcome any potential collaborations, please feel free to contact me via email: yihang.zhao@kcl.ac.uk or yihang.zhao23@imperial.ac.uk
Papers
2024
Zhao, Y., Vetter, N., Aryan, K.: Using large language models for ontoclean-based ontology refinement (2024), https://arxiv.org/abs/2403.15864 [arXiv]
Zhao, Y., Meroño-Peñuela, A., Simperl, E.: User experience in dataset search (2024), https://arxiv.org/abs/2403.15861 [arXiv]
2021
Luo, W., Zhang, W., Zhao, Y.: A survey of transformer and gnn for aspect-based sentiment analysis. In: 2021 International Conference on Computer Information Science and Artificial Intelligence (CISAI). pp. 353–357. IEEE (2021) [IEEE Xplore]
Experiences
2024
Attend ACM Europe Summer School on Accessible and Inclusive Technologies, Birmingham, UK, 24-27 June, 2024, Present work "An AI Assistant Leveraging Large Language Models to Enhance Ontology User Story Creation", Explore the latest studies focusing on accessible computing, inclusive design, assistive technologies, and disability innovation
Attend 8th Summer School on Computational Interaction, Belval, Luxembourg, 03-07 June, 2024, Present work "An AI Assistant Leveraging Large Language Models to Enhance Ontology Requirements Engineering", Explore the latest studies focusing on user interface design, interactive systems, user modeling
Attend MuseIT Participatory Workshop & Consortium Meeting, Edinburgh, UK, 24-26 April, 2024, Present work "AI Co-pilot to Improve Ontology Requirement Elicitation", Explore the latest studies focusing on multisensory representation in cultural heritage experiences and co-creation/resonant design approaches for fostering inclusion
Attend 3rd Annual Symposium of The Turing Interest Group on Knowledge Graphs, AI UK Fringe Event 2024, Liverpool, UK, 24-25 March, 2024, Latest research of knowledge graphs in intelligent systems across digital humanities, cultural heritage, and climate science domains
Research Visit, Imperial College London, 2023-2024, Research on effectively conducting inductive analyses, presenting qualitative data
Teaching Assistant, 7CUSMNDA Network Data Analysis, King's College London, Semester 2, 2023-2024, Support student's ability to analyse network data as it applicable to social networks, such as societal networks in urban populations, and spatial networks, such as traffic on road networks
2023
Knowledge Prompting Hackathon, London, UK, 07-10 August, 2023, Research knowledge engineering and prompt engineering, large language models in ontology refinement: an OntoClean approach
MSc Dissertation, Grade 82, Supervised by Prof. Elena Simperl, Department of Informatics, King's College London, 2022-2023, Examined user experience in dataset searches through a comprehensive user study by using think-aloud protocols
2022 (When I was really young)
Teaching Assistant, COM2109 Automata, Computation and Complexity, University of Sheffield, Semester 1, 2021-2022, Support students understanding the theoretical foundations for computing systems: finite state machines, pushdown automata, and Turing machines, along with the formal languages that can be recognised by these machine models
Student Mentor, Department of Computer Science, University of Sheffield, 2021-2022, Offer subject-specific peer support and guidance to new students joining the University
BSc Dissertation, Grade 72, Supervised by Dr Andrei Popescu, Department of Computer Science, University of Sheffield, 2021-2022, Designed a prototype for web-based e-commerce recommender system using user-based collaborative filtering
Computer Vision Engineer, Project Hex of iForge Makerspace, University of Sheffield, 2020-2022, Implement functions like object detection
Program Developer, Web Crafter of Enactus Sheffield, University of Sheffield, 2021-2022, Taught webpage structure, text, lists, links changing colours, page layout, responsiveness, and jQuery related knowledge
2021
DXC Technology University Innovation Competition, Early career project, DXC Technology Company, Online, 29 March-09 April, 2021, Tasked with developing an innovative technological idea and presenting back to a panel of DXC staff Dragons Den style, Awarded the Best Overall Team during DXC Technology University Innovation Challenge, early career project, 2021
Engineering: You're Hired, Sheffield, UK, 08-12 February, 2021, Work alongside other engineers and the opportunity to develop effective communication and problem solving skills, Awarded the Best Pitch for Funding during Engineering You're Hired!, second year project week, 2021
2020
Global Engineering Challenge, Sheffield, UK, 27-31 January, 2020, Participant in a Cross-faculty event aimed at developing ability to take on real-life engineering projects