Shudong Liu (刘树东)
Hello! I am currently a PhD student of Computer Science in the Faculty of Science and Technology at the University of Macau beginning from 2022 Fall, also a member of NLP2CT Lab advised by Prof. Derek F. Wong. My primary research lies in the area of natural language processing and machine learning. Current interests mainly focus on large language models, retrieval-based generation and machine translation.
Find me on Twiter | Github | Google Scholar and feel free to reach out by Email!
Research Interests
- Large Language Models, Uncertainty Estimation, Reasoning
- Machine Translation, Nonparametric NMT, Low-resource NMT
Recent Publications (* denotes equal contribution)
- Domain-Aware k-Nearest-Neighbor Knowledge Distillation for Machine Translation.
Zhexuan Wang*, Shudong Liu*, Xuebo Liu, Miao Zhang, Derek F. Wong, and Min Zhang.
In: Findings of the 62th Annual Meeting of the Association for Computational Linguistics (ACL 2024 Findings), August 11-16, 2024. - kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation.
Shudong Liu, Xuebo Liu, Derek F. Wong, Zhaocong Li, Wenxiang Jiao, Lidia S. Chao and Min Zhang.
In: Proceedings of the 61th Annual Meeting of the Association for Computational Linguistics (ACL 2023), July 9-14, 2023. - Can LMs Generalize to Future Data? An Empirical Analysis on Text Summarization.
Chi Seng Cheang, Hou Pong Chan, Derek F. Wong, Xuebo Liu, Zhaocong Li, Yanming Sun, Shudong Liu, Lidia S. Chao.
In: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), December 6-10, 2023. - A Graph Attention Interactive Refine Framework with Contextual Regularization for Jointing Intent Detection and Slot Filling.
Zhanbiao Zhu, Peijie Huang, Haojing Huang, Shudong Liu and Leyi Lao.
In: Proceedings of the 47th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), May 22-27, 2022. - Cross-domain Slot Filling with Distinct Slot Entity and Type Prediction.
Shudong Liu, Peijie Huang, Zhanbiao Zhu, Hualin Zhang and Jianying Tan.
In: Proceedings of the 10th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2021), October 13-17, 2021. (Oral) - Slot Filling Model with Boundary
Prediction and Dynamic Template.
Zhanbiao Zhu, Peijie Huang, Yexing Zhang, Shudong Liu, Hualin Zhang and Junyao Huang.
Journal of Chinese Information Processing. Recommended from Proceedings of the Twentieth China National Conference on Computational Linguistics (CCL 2021). - A Dependency-Guided Character-Based Slot
Filling Model for Chinese Spoken Language
Understanding.
Zhanbiao Zhu, Peijie Huang, Yexing Zhang, Shudong Liu, Hualin Zhang and Junyao Huang.
Journal of Chinese Information Processing. Recommended from Proceedings of the Twentieth China National Conference on Computational Linguistics (CCL 2021).
Services
- Conference Reviewer: ACL 2024; NAACL 2024; ACL Roling Review 2023-2024; CCL 2023-2024
- Secondary Reviewer: AAAI 2024; TACL 2024; IJCAI 2023; ACL 2023; NLPCC 2023; CCMT 2023;
- Student Volunteer: NLPCC 2024; MT Summit 2023
- Teaching Assistant
- CISC7021 Applied Natural Language Processing (2022 Fall, 2023 Fall)
- CISC4000 Graduation Project (2023 Spring)
Activities
- 2024-02, Given an invited talk about Transfer Learning for Low-Resource NMT at University of Toronto
- 2023-12, Attended EMNLP 2023 conference in Sentosa, Singapore
- 2023-07, Attended ACL 2023 conference in Toronto, Canada
- 2021-10, Attended NLPCC 2021 conference in Qingdao, China
Education
- Ph.D. student in Computer Science, University of Macau (UM), Macau SAR, China, 2022-present. Supervised by Prof. Derek F. Wong and Prof. Xuebo Liu.
- B.S. in Software Engineering, South China Agricultural University (SCAU), Guangzhou, China, 2018-2022. GPA: 91.2/100.
