Xuebo Liu (刘学博)
Assistant Professor
School of Computer Science and Technology
Harbin Institute of Technology, Shenzhen
Xili University Town, Nanshan District
Shenzhen, Guangdong, China
[Google scholar] [LinkedIn] [Email] [中文主页]

Biography

I have been an assistant professor in School of Computer Science and Technology at Harbin Institute of Technolgy, Shenzhen since Fall 2021. Before that, I received my PhD degree at University of Macau (2021), advised by Prof. Derek F. Wong and was a member of NLP2CT Lab. I was a postgraduate intern at Tsinghua NLP Group (2018), advised by Prof. Yang Liu and a research intern at Tencent AI Lab (2019-2021), advised by Dr. Zhaopeng Tu and Dr. Longyue Wang. My current research interests focus on sentence generation of natural language processing (NLP), e.g., neural machine translation and grammatical error correction.

★ Looking for self-motivated students and interns to join our team. Please feel free to contact me if you have interests! ★

News

  • [11.2022] One paper is accepted to AAAI 2023.
  • [10.2022] Three papers are accepted to EMNLP 2022.
  • [05.2022] Serving as Area Chair of EMNLP 2022.
  • [02.2022] One paper is accepted to ACL 2022.
  • [10.2021] Serving as Area Chair of ACL 2022.
  • [08.2021] One paper is accepted to Findings of EMNLP 2021.
  • [08.2021] One paper is accepted to IEEE/ACM Transactions on Audio, Speech, and Language Processing.
  • [07.2021] One paper is accepted to NeurIPS 2021 Datasets and Benchmarks Track.
  • [05.2021] Four papers are accepted to ACL 2021 and its findings.
  • [01.2021] Two papers are accepted to ICLR 2021.
  • [01.2021] One paper is accepted to AAAI 2021.

Selected Publications

Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling
Zhijun Wang, Xuebo Liu+, Min Zhang (+: Corresponding Author)
2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
[Paper] [Code]
Revisiting Grammatical Error Correction Evaluation and Beyond
Peiyuan Gong, Xuebo Liu+, Heyan Huang, Min Zhang (+: Corresponding Author)
2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
[Paper] [Code]
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation
Zhaocong Li, Xuebo Liu+, Derek F. Wong+, Lidia S. Chao, Min Zhang (+: Corresponding Author)
2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
[Paper] [Code]
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning
Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Zhaopeng Tu
9th International Conference on Learning Representations (ICLR), 2021
[Paper] [Code] [Poster] [Video]
Variance-Aware Machine Translation Test Sets
Runzhe Zhan*, Xuebo Liu*, Derek F. Wong, Lidia S. Chao (*: Equal Contribution)
35th Conference on Neural Information Processing Systems (NeurIPS Datasets and Benchmarks), 2021
[Paper] [Code]
Difficulty-Aware Machine Translation Evaluation
Runzhe Zhan*, Xuebo Liu*, Derek F. Wong, Lidia S. Chao (*: Equal Contribution)
59th Annual Meeting of the Association for Computational Linguistics (ACL Short), 2021
[Paper] [Code]
On the Copying Behaviors of Pre-Training for Neural Machine Translation
Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu
Findings of the Association for Computational Linguistics: ACL 2021 (ACL Findings), 2021
[Paper] [Code] [Video]
On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation
Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu
Findings of the Association for Computational Linguistics: EMNLP 2021 (EMNLP Findings), 2021
[Paper] [Code] [Video]
Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation
Runzhe Zhan*, Xuebo Liu*, Derek F. Wong, Lidia S. Chao (*: Equal Contribution)
35th AAAI Conference on Artificial Intelligence (AAAI), 2021
[Paper] [Code]
Exploiting Translation Model for Parallel Corpus Mining
Chongman Leong*, Xuebo Liu*, Derek F. Wong, Lidia S. Chao (*: Equal Contribution)
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), 2021
[Paper]
Norm-based Curriculum Learning for Neural Machine Translation
Xuebo Liu, Houtim Lai, Derek F. Wong, Lidia S. Chao
58th Annual Meeting of the Association for Computational Linguistics (ACL), 2020
[Paper] [Code] [Video] [Blog]
Shared-Private Bilingual Word Embeddings for Neural Machine Translation
Xuebo Liu, Derek F. Wong, Yang Liu, Lidia S. Chao, Tong Xiao, Jingbo Zhu
57th Annual Meeting of the Association for Computational Linguistics (ACL), 2019
[Paper] [Video] [Blog]
Latent Attribute Based Hierarchical Decoder for Neural Machine Translation
Xuebo Liu, Derek F. Wong, Lidia S. Chao, Yang Liu
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), 2019
[Paper]

Experiences

Professional Services

  • Area Chair: ACL 2022; EMNLP 2022
  • Journal Reviewer: TASLP 2022; CL 2021; Neurocomputing 2020-2022; TALLIP 2018-2019, 2021-2022
  • Conference Reviewer: ICLR 2022-2023; ICML 2022; NeurIPS 2020-2022; ACL 2019, 2021-2022; EMNLP 2021-2022; NAACL 2021-2022; AAAI 2019, 2021-2023; IJCAI 2022; CCL 2021; COLING 2020; NLPCC 2019, 2021-2022
  • Secondary Reviewer: ACL 2018, 2020; EMNLP 2018-2020; NAACL 2019; EACL 2021; AACL 2020; CL 2020; IJCAI 2019-2020; AAAI 2020; CCMT 2019-2020; CWMT 2018; PROPOR 2018

Miscellaneous

  • My first name Xuebo means studying (Xue) for a doctorate (Bo). I have achieved it on May 27, 2021.
  • I love swimming, every working day at UM swimming pool I swim 2,000 meters within 45 minutes.
  • Runzhe Zhan is a rising star at NLP2CT Lab.
  • If you are also interested in Vision Transformer, please take a look at Dr. Xiaodong Cun.