欢迎来到我的主页 [English]
我现在是英国谢菲尔德大学计算机系自然语言处理组的博士后，我的研究方向包括语义搜索、主题模型、文本分类、知识图谱、可解释性 AI 等。
- Email: ye.jiang (AT) sheffield.ac.uk
- 微信: yiminking
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Xingyi Song, Johann Petrak, Ye Jiang, Iknoor Singh, Diana Maynard, and Kalina Bontcheva. "Classification aware neural topic model for COVID-19 disinformation categorisation." Plos one 16, no. 2, 2021. PDF
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Jiajia Liu, Yimin Wang, Xin Huang, Marianna Korsos, Ye Jiang, Yuming Wang, Robert Erd´elyi. Reliability of AI-generated magnetograms from only EUV images. Nature Astronomy, 2021. PDF
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Ye Jiang. "Detecting Journalistic Framing and Attitudes on News Reporting about Climate Change." PhD diss., University of Sheffield, 2020. PDF
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Ye Jiang, Yimin Wang, Xingyi Song, Diana Maynard. Comparing topic-aware neural networks for bias detection of news. Proceeding of ECAI 2020. PDF
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Yimin Wang, Jiajia Liu, Ye Jiang, and Robert Erdélyi. CME Arrival Time Prediction Using Convolutional Neural Network. The Astrophysical Journal, 2019. 881(1): 15. PDF
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Ye Jiang, Johann Petrak, Xingyi Song, Kalina Bontcheva, and Diana Maynard. Team Bertha von Suttner at SemEval-2019 Task 4: Hyperpartisan News Detection using ELMo Sentence Representation Convolutional Network. Proceedings of the 13th International Workshop on Semantic Evaluation, 2019. PDF
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Ye Jiang, Xingyi Song, Jackie Harrison, Shaun Quegan, and Diana Maynard.Comparing Attitudes to Climate Change in the Media using sentiment analysis based on Latent Dirichlet Allocation. Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism, 2017. PDF
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Hong Xu, Ye Jiang, Yimin Wang, Yewei Sun, Xueqing Li. Sentence length, sentence fragment and images affecting presentation of search result pages. Proceedings of the 2015 JIMET Conference, 2015. PDF