Ye Jiang’s homepage [中文]
I am an Assistant Professor
at the College of Information Science and Technology, Qingdao University of Science and Technology (QUST). Before joining QUST, I was a Research Associate for the SoBigData++ project and worked on the detection of online abuse, disinformation, and explainable AI (XAI) at GATE NLP group, Department of Computer Science, University of Sheffield.
I completed my PhD in Computer Science at the University of Sheffield in 2021 with a thesis titled “Detecting Journalistic Framing and Attitudes on News Reporting about Climate Change”. My PhD was funded by the Grantham Centre for Sustainable Futures, where I was also a Grantham Scholar.
Research interests: In-context learning, Applications in LLMs/LVLMs.
News
| [7/2025] Our paper “In-Context Learning vs Instruction Tuning: A Systematic Comparison of Few-Shot Adaptation Strategies for Large Language Models” published at the ICIC 2025. | ![]() |
| [7/2025] I will serve as Session Chair at ICIC 2025. | |
| [7/2025] I will serve as Session Chair at the IMNS 2025. | |
| [6/2025] Our paper “IMFND: In-context Multimodal Fake News Detection with large visual-language models” published at the Knowledge-Based Systems. | ![]() |
| [02/2025] Our team won 1st in Hindi and 2nd in Russian on SemEval 2025 Task 10 | ![]() |
| [02/2025] Our team achieved 5th on Monolingual and 7th on Crosslingual tracks in SemEval 2025 Task 7 | ![]() |
| [1/2025] Our paper “Cross-modal augmentation for few-shot multimodal fake news detection” published at the Engineering Application of Artificial Intelligence. | ![]() |





