Curriculum Vitae

Email: p.yi@qmul.ac.uk    Website: yipeiling.github.io   Code: GitHub

Download CV (PDF)

Education

• PhD in Computer Science (2020 - Present, Thesis submission by January 2025)
Topic: Cyberbullying Detection Across Different Social Media Platforms
NLP Research Group, Queen Mary University of London
• MSc in Software Engineering (Distinction) (2017 - 2019)
School of Electronic Engineering and Computer Science, Queen Mary University of London
• MSc in Engineering Project Management (2005 - 2008)
Chinese Academy of Sciences
• BSc in Computer Applied Technology (1994 - 1998)
Hefei University of Technology, China

Research and Professional Experience

• Senior Research Officer (2024 - 2025)
School of Computer Science and Electronic Engineering, University of Essex
• Researcher Co-Lead (EPSRC Funding Application) (2024 - Present)
School of Electronic Engineering and Computer Science, Queen Mary University of London
• Alan Turing Enrichment Scholarship (2022 - 2023)
• Interview Panel Member for DC11 (2023)
Cross-lingual claim detection for fact-checking
• Reviewer for The Web Conference (WWW) 2022 (2022)
• Software Engineer (C/C++) and Project Manager (1998 - 2010)
Worked at Yahoo, Ninetowns, Total Streaming Media, and Everest Digital Media in China

Teaching & Supervision

• Associate Fellowship (AFHEA) (2022 - Present)
• Teaching Fellow (2021 - 2024)
School of Electronic Engineering and Computer Science, Queen Mary University
• Assistant Examiner of the Joint Programme/JEI (2021 - 2024)
School of Electronic Engineering and Computer Science, Queen Mary University
• Teaching Assistant (2020 - 2021)
School of Electronic Engineering and Computer Science, Queen Mary University
• Supervision & Mentorship (2021 - 2024)
School of Electronic Engineering and Computer Science, Queen Mary University
• Pedagogical Training(Level 7 Certificate in Learning and Teaching)(2022)
School of Electronic Engineering and Computer Science, Queen Mary University

First-Author Publications

• Detecting Harassment and Defamation in Cyberbullying with Emotion-Adaptive Training
The International AAAI Conference on Web and Social Media (ICWSM) 2025
• ID-XCB: Data-Independent Debiasing for Fair and Accurate Transformer-Based Cyberbullying Detection
The International AAAI Conference on Web and Social Media (ICWSM) 2025
• Session-Based Cyberbullying Detection in Social Media: A Survey (Best Survey Paper 2024)
Online Social Networks and Media, 2023
• Learning Like Human Annotators: Cyberbullying Detection in Lengthy Social Media Sessions
The Web Conference (WWW) 2023
• Cyberbullying Detection Across Social Media Platforms via Platform-Aware Adversarial Encoding
The International AAAI Conference on Web and Social Media (ICWSM) 2022
• Weakly Supervised Cross-Platform Teenager Detection with Adversarial BERT
ACM Conference on Hypertext and Social Media, 2021