Shu Jiang   姜舒

Ph.D, Lecturer

Email: jshmjs45@ntu.edu.cn


Biography

Shu Jiang received the B.S. degree in Instrument Science and Technology from Southeast University, China in 2015, and received the Ph.D. degree from Shanghai Jiao Tong University in 2022. She is currently an Assistant Professor with the School of Artificial Intelligence and Computer Science, Nantong University, China. She was a Research Assistant with the City University of Hong Kong in 2016, and a Visiting Scholar with the National Institute of Information and Communications Technology (NICT), Japan in 2018. Her research interests include machine translation and natural language processing. 

Research

  • Machine Translation

  • Natural Language Processing

Publication

  1. Shu Jiang, Zuchao Li Hai Zhao, Bao-Liang Lu, Rui Wang, Tri-training for Dependency Parsing Domain Adaptation. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP). Vol. 21, No. 3, pp:1-17, May 2022.

  2. Hongjiang Jing, Zuchao Li, Hai Zhao and Shu Jiang, Seeking Common but Distinguishing Difference, A Joint Aspect-based Sentiment Analysis Model. The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), November 7-11, 2021.

  3. Shu Jiang, Rui Wang, Zuchao Li, Masao Utiyama, Kehai Chen, Eiichiro Sumita, Hai Zhao, Bao-liang Lu, Document-Level Neural Machine Translation with Associated Memory Network. IEICE Transactions on Information and Systems. Vol. E104-D, No.10, pp: 1712-1723, Oct. 2021.

  4. Shu Jiang, Zhuosheng Zhang, Hai Zhao, Jiangtong Li, Yang Yang, Bao-Liang Lu, Ning Xia, When SMILES smiles, Practicality Judgment and Yield Prediction of Chemical Reaction via Deep Chemical Language Processing. IEEE Access. Vol. 9, pp: 85071-85083, May 2021.

  5. Shu Jiang and John Lee, Carrier Sentence Selection for Fill-in-the-blank Items. The 4th Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA 2017, IJCNLP 2017 Workshop), Taipei, Taiwan, December 1, 2017.

  6. Shu Jiang and John Lee, Distractor Generation for Chinese Fill-in-the-blank Items. The 12th Workshop on Innovative Use of NLP for Building Educational Applications (BEA2017, EMNLP 2017 Workshop), Copenhagen, Denmark, September 8, 2017.

  7. John Lee, Chun Yin Lam and Shu Jiang, A Reading Environment for Learners of Chinese as a Foreign Language. The 26th International Conference on Computational Linguistics: System Demonstrations (COLING 2016), Osaka, Japan, December 11-17, 2016.

Project

Professional Service