I am a second-year PhD student in the Computer Science Department, University of Warwick. I do research on Natural Language Processing, with special focuses on dialogue emotion detection and emotion-guided text generation. Currently I am working on neural network architectures for emotion detection on conversations. My supervisor is Prof. Yulan He. Before I started my PhD, I did my MSc degree in computer science at Southeast University. I obtained my BEng degree from Soochow University in computer science prior to this.
Teaching Assistant 2019/20: CS918 Natural Language Processing
Sub-reviewer of EMNLP18
Reviewer of EMNLP19, EMNLP20, Applied Soft Computing
Good at developing data acquisition tools, e.g., crawlers. A crawler for automatic login.
Familiar with probabilistic methods: Latent Dirichlet Allocation, (Collapsed) Gibbs Sampling, Variational Inference, Variational Auto-Encoder, Dirichlet Process, Hierarchical Dirichlet Process, Temporal Point Process.
L. Zhu, Y. He and D. Zhou. Hierarchical Viewpoint Discovery from Tweets Using Bayesian Modelling. Expert Systems with Applications, 116:430-438, 2019.
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. A General Probabilistic Generative Model for Topic-Word Embedding Learning. Transactions of the Association for Computational Linguistics, in press.
L. Zhu, Y. He and D. Zhou. Neural Temporal Opinion Modelling for Opinion Prediction on Twitter. 2020 Annual Conference of the Association for Computational Linguistics, Short paper.
Department of Computer Science
University of Warwick