Xingwei started his PhD programme in Oct, 2020, which is funded by the Chancellor's International Scholarship. He is a member of Warwick NLP research groupLink opens in a new window. His PhD project is under the supervision of Prof. Yulan HeLink opens in a new window. His primary research interest is Event-Centric Natural Language Understanding. He also has experience in logic and text mining.
Teaching Assistant in modules:
- CS262: Logic and Verification (2021, 2022)
- CS918: Natural Language Processing (2020, 2021)
- CS412: Formal Systems Development (2021)
- Tan, Xingwei, Gabriele Pergola and Yulan He. “Extracting Event Temporal Relations via Hyperbolic Geometry.” EMNLP (2021).
- Zhang, Xing, Jingyun Xu, Yi Cai, Xingwei Tan and Changxi Zhu. “Detecting dependency-related Sentiment Features for aspect-level Sentiment Classification.” IEEE Transactions on Affective Computing (2021): 1-1.
- Tan, Xingwei, Yi Cai, Jingyun Xu, Ho-fung Leung, Wenhao Chen and Qing Li. “Improving aspect-based sentiment analysis via aligning aspect embedding.” Neurocomputing 383 (2020): 336-347.
- Tan, Xingwei, Yi Cai and Changxi Zhu. “Recognizing Conflict Opinions in Aspect-level Sentiment Classification with Dual Attention Networks.” EMNLP/IJCNLP (2019).
- Yang, Kai, Yi Cai, Zhiwei Cai, Xingwei Tan, Haoran Xie, T. Wong and Wai Hong Chan. “A new samples selecting method based on K nearest neighbors.” 2017 IEEE International Conference on Big Data and Smart Computing (BigComp) (2017): 457-462.