PhD student

Room CS2.33

Department of Computer Science,

University of Warwick

Email: Hanqi.yan@warwick.ac.uk

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I am a Ph.D. student at the University of Warwick (2020-) with Prof. Yulan HeLink opens in a new window doing Natural Language Processing, with special focus on sentiment analysis and interpretable NLP models. I finished my MSc. at Peking UniversityLink opens in a new window (2017-2020) with Prof. Chengqi Cheng doing spatial data mining and my BEng. at Beihang UniversityLink opens in a new window (2013-2017).

I pursue the fundamental principles of information bottleneck in large-pretrained model, with a particular focus on the expressivity of the self-attention mechanism. I derive probabilistic models guided by Bayesian perspectives, equipped with modern neural architectures to understand the latent features in sentiment analysis. I am also interested in leveraging the explanations to improve the current NLP models.

Publications or pre-prints

• H. Yan*, L. Gui*, and Y. He. Hierarchical Interpretation of Neural Text ClassificationLink opens in a new window, Under review of Computational Linguistics.
• H. Yan, L. Gui, G. Pergola and Y. He. Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause ExtractionLink opens in a new window, The 59th Annual Meeting of the Association for Computational Linguistics (ACL), Aug. 2021.
• Y. Lei, H Pei, H. Yan, W. Li. Reinforcement learning-based recommendation with graph convolutional q-networkLink opens in a new window, Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), July. 2020.

• J. Xu, L. Zhao, H. Yan, Q. Zeng, Y. Liang, X. Sun. LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment ClassificationLink opens in a new window, Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Nov. 2019.

Teaching