About Me
Hello! I am a Postdoc at the King’s College London. I obtained my PhD degree in Computer Science from the University of Warwick, focusing on the combination of seq2seq models and dense representation learning (thesis). Currently I’m working on the alignment of instruction-tuned models and narrative datasets. I’ve published more than 10 papers, and served as a reviewer/PC member in over 10 journals/conferences.
Publications
Radiology Report Generation and Disease Recognition
- J. Wang, L. Zhu, A. Bhalerao and Y. He. Scene Graph Aided Radiology Report Generation. Under Review.
- J. Wang, L. Zhu, A. Bhalerao and Y. He. Can Prompt Learning Benefit Radiology Report Generation? Under Review.
Vaccination Attitude Detection and Social Media Analysis
- L. Zhu, R. Zhao, G. Pergola and Y. He. Disentangling Aspect and Stance via a Siamese Autoencoder for Aspect Clustering of Vaccination Opinions. Findings of ACL, 2023.
- L. Zhu, Z. Fang, G. Pergola, R. Procter and Y. He. Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social Media. NAACL, 2022.
- L. Zhu, G. Pergola, L. Gui, D. Zhou and Y. He. Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection. ACL, 2021.
- L. Zhu, Y. He and D. Zhou. Neural Opinion Dynamics Model for the Prediction of User-Level Stance Dynamics. Information Processing and Management, 57.2, 2020.
- L. Zhu, Y. He and D. Zhou. Neural Temporal Opinion Modelling for Opinion Prediction on Twitter. ACL Short, 2020.
- L. Zhu, Y. He and D. Zhou. Hierarchical Viewpoint Discovery from Tweets Using Bayesian Modelling. Expert Systems with Applications, 116:430-438, 2019.
- R. Zhao, M. A. Catania, L. Zhu, E. Kochkina, L. Gui, A. Zubiaga, R. Procter, M. Liataka and Y. He. PANACEA: An automated misinformation detection system on COVID-19. EACL: System Demonstrations, 2023.
Narrative Understanding
- L. Zhu, R. Zhao, L. Gui and Y. He. Are NLP Models Good at Tracing Thoughts: An Overview of Narrative Understanding. Findings of EMNLP, 2023.
- R. Zhao, W. Zhang, J. Li, L. Zhu, Y. Li, Y. He and L. Gui. NarrativePlay: Interactive Narrative Understanding. EACL: System Demonstrations, 2024.
- H. Xu, R. Zhao, L. Zhu, J. Du and Y. He. OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models. Under review.
Word Representation Learning
- L. Zhu, Y. He and D. Zhou. A Neural Generative Model for Joint Learning Topics and Topic-Specific Word Embeddings. Transactions of the Association for Computational Linguistics, 8, 471-485, 2020.
Honors and Awards
- Second Prize in Chinese Graduate Student Mathematical Contest in Modeling
- Honorable Mention prize in Mathematical Contest in Modeling
- SemEval Competition: BRAINTEASER: A Novel Task Defying Common Sense. 2nd place in subtask-Word Puzzle and 5th place in subtask-Sentence Puzzle.
- National Graduate Scholarship granted by Ministry of Education
- National Undergraduate Scholarship granted by Ministry of Education