Chengyue Jiang

PhD student at ShanghaiTech

About Me

Hi, my name’s Chengyue Jiang and I’m currently a PhD student at ShanghaiTech University. I majored in Computer Science, and I’m doing research focusing on Natural Language Processing (NLP), and I’m supervised by Prof. Kewei Tu.

More specifically, I’m finding proper ways to use symbolic knowledge (e.g. Regular Expressions) to help NLP models reach better performance and have better interpretability on NLP tasks.


  • I recieve my Bachelor degree in Computer Science in ShanghaiTech University, (June 2015 - June 2019).
  • And I’m now a PhD student in ShanghaiTech University, supervised by Prof. Kewei Tu.


EMNLP 2020

Chengyue Jiang, Yinggong Zhao, Shanbo Chu, Libin Shen, and Kewei Tu. “Cold-start and Interpretability: Turning Regular Expressions into Trainable Recurrent Neural Networks”. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing. (Paper) (Code)

Findings of EMNLP 2020

Chengyue Jiang, Zhonglin Nian, Kaihao Guo, Shanbo Chu, Yinggong Zhao, Libin Shen, and Kewei Tu. “Learning Neumeral Embeddings”. In Findings of the Association for Computational Linguistics: EMNLP 2020. (Paper) (Code)

CoNLL 2019

Xinyu Wang, Yixian Liu, Zixia Jia, Chengyue Jiang, and Kewei Tu. “ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing”. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL 2019). (Paper) (Poster)


Research Intern

Alibaba Damo Academy, Hangzhou

Augest 2021 -- Present

Doing some research about pretraining language model and doing information extraction.

Software Intern

Honeywell, Nanjing

July 2018 -- September 2018

Doing some early research on using image captioning to help fault detection. Using simple sequence to sequence architecture, and implemented using Keras.

Web Intern

Boonray Technology, Shanghai

July 2016 -- September 2016

Software engineer internship. Participating in developing a webapp using Django backend and MySQL. The webapp is a simple cloud platform, used for managing costumers.