About me
I’m a Ph.D. candidate at The University of Manchester and the NaCTeM group. I’m advised by Prof. Sophia Ananiadou. My PhD journey started in July 2023. I obtained my M.Sc. degree in Computer Science from The University of Chinese Academy of Sciences, China.
Research interests
My current research interests focus on Natural Language Processing and Large Language Models. Especially affective analysis (i.e. emotion detection and sentiment analysis), and misinformation detection (e.g. fake news, rumors, and conspiracy theories).
News
- Feb 2025. Invited as a speaker at ELLIS Workshop on Misinformation Detection.
- Feb 2025. New preprint: “Disentangled VAD Representations via a Variational Framework for Political Stance Detection” at arXiv.
- Feb 2025. New preprint: “Rumor Detection by Multi-task Suffix Learning based on Time-series Dual Sentiments” at arXiv.
- Feb 2025. I’m co-organizing the 1st Workshop on Misinformation Detection in the Era of LLMs (MisD), which will be held at ICWSM (June 23rd, 2025, Copenhagen, Denmark)!
- Jan 2025. Our paper: “FMDLlama: Financial Misinformation Detection based on Large Language Models” has been accepted by WWW 2025 as a short paper.
- Jan 2025. The Financial Misinformation Detection Challenge has successfully wrapped up at COLING 2025. Learn more about the challenge.
- Sep 2024. Our paper “MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models” has been accepted by NeurIPS 2024.
- Aug 2024. New preprint: “Selective Preference Optimization via Token-Level Reward Function Estimation” at arXiv.
- Aug 2024. New preprint: “Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications” at arXiv.
- Jul 2024. Our paper “ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model” has been accepted by ECAI 2024.
- Jun 2024. New preprint: “RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning based on Emotional Information” at arXiv.
- May 2024. Our paper “EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis” has been accepted by KDD 2024.
- Feb 2024 Our paper: “Emotion Detection for Misinformation: A Review” has been accepted by Information Fusion.
- Feb 2024 Obtained the Turing Scheme Funding to work with Eduard Hovy as a visiting student at the University of Melbourne.
Professional services
Program Committee/Reviewer
- SIGKDD’24, 25
- COLING’25
- WWW’25
- ARR’25
Journal Reviewer
- IEEE Transactions on Affective Computing
- Information Processing & Management
- ICT Express
- HELIYON
Organizer/Session Chair/Volunteer
MisD: Workshop on Misinformation Detection in the Era of LLMs
Financial Misinformation Detection (FMD) challenge @COLING 2025
Research Projects
- Emotion Detection and Misinformation Harms arising from Large Language Models. link
- Manchester-Melbourne-Toronto Research Project
Awards and Achievements
- Turing Scheme Funding for Study and Work Aboard
- Scholar Award from the Department of Computer Science at the University of Manchester (072023-122026)