近期论文
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Xinyu Ma, Xuebo Liu (通讯，共同一作), Min Zhang. Clustering Pseudo Language Family in Multilingual Translation Models with Fisher Information Matrix. In 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. (清华推荐分区A类，CCF B类)
Tengfei Yu, Liang Ding, Xuebo Liu (通讯), Kehai Chen, Meishan Zhang, Dacheng Tao, Min Zhang. PromptST: Abstract Prompt Learning for End-to-End Speech Translation. In 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. (清华推荐分区A类，CCF B类)
Chi Seng Cheang, Hou Pong Chan, Derek F. Wong, Xuebo Liu, Zhaocong Li, Yanming Sun, Shudong Liu. Can LMs Generalize to Future Data? An Empirical Analysis on Text Summarization. In 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. (清华推荐分区A类，CCF B类)
Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao. Towards Making the Most of ChatGPT for Machine Translation. In Findings of the Association for Computational Linguistics: EMNLP 2023 (EMNLP Findings), 2023. (清华推荐分区A类，CCF B类)
Xuebo Liu, Yutong Wang, Derek F. Wong, Runzhe Zhan, Liangxuan Yu, Min Zhang. Revisiting Commonsense Reasoning in Machine Translation: Training, Evaluation and Challenge. In 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023. (清华推荐分区A类，CCF A类)
Runzhe Zhan, Xuebo Liu (共同通讯), Derek F. Wong, Cuilian Zhang, Lidia S. Chao, Min Zhang. Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization. In 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023. Oral. (清华推荐分区A类，CCF A类)
Shudong Liu, Xuebo Liu (共同通讯), Derek F. Wong, Zhaocong Li, Wenxiang Jiao, Lidia S. Chao, Min Zhang. kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation. In 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023. (清华推荐分区A类，CCF A类)
Yinghao Li (访问学生), Xuebo Liu, Shuo Wang, Peiyuan Gong, Derek F. Wong, Yang Gao, Heyan Huang, Min Zhang. TemplateGEC: Improving Grammatical Error Correction with Detection Template. In 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023. Oral. (清华推荐分区A类，CCF A类)
Qihuang Zhong, Liang Ding, Juhua Liu, Xuebo Liu, Min Zhang, Bo Du, Dacheng Tao. Revisiting Token Dropping Strategy in Efficient BERT Pretraining. In 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023. (清华推荐分区A类，CCF A类)
Tao Fang, Xuebo Liu (共同通讯), Derek F. Wong, Runzhe Zhan, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang. TransGEC: Improving Grammatical Error Correction with Translationese. In Findings of the Association for Computational Linguistics: ACL 2023 (ACL Findings), 2023. (清华推荐分区A类，CCF A类)
Hexuan Deng, Liang Ding, Xuebo Liu (通讯), Meishan Zhang, Dacheng Tao, Min Zhang. Improving Simultaneous Machine Translation with Monolingual Data. In 37th AAAI Conference on Artificial Intelligence (AAAI), 2023. (清华推荐分区A类，CCF A类)
Zhijun Wang (访问学生), Xuebo Liu (通讯，共同一作), Min Zhang. Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling. In 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. (清华推荐分区A类，CCF B类)
Peiyuan Gong (访问学生), Xuebo Liu (通讯), Heyan Huang, Min Zhang. Revisiting Grammatical Error Correction Evaluation and Beyond. In 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. (清华推荐分区A类，CCF B类)
Zhaocong Li, Xuebo Liu (共同通讯), Derek F. Wong, Lidia S. Chao, Min Zhang. Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation. In 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. (清华推荐分区A类，CCF B类)
Bei Li, Quan Du, Tao Zhou, Yi Jing, Shuhan Zhou, Xin Zeng, Tong Xiao, Jingbo Zhu, Xuebo Liu, Min Zhang. ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation. In 60th Annual Meeting of the Association for Computational Linguistics (ACL), 2022. (清华推荐分区A类，CCF A类)
Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Zhaopeng Tu. Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning. In 9th International Conference on Learning Representations (ICLR), 2021. (清华推荐分区A类)
Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu. Understanding and Improving Lexical Choice in Non-Autoregressive Translation. In 9th International Conference on Learning Representations (ICLR), 2021. (清华推荐分区A类)
Runzhe Zhan, Xuebo Liu (共同一作), Derek F. Wong, Lidia S. Chao. Variance-Aware Machine Translation Test Sets. In 35th Conference on Neural Information Processing Systems (NeurIPS Datasets and Benchmarks), 2021. (清华推荐分区A类，CCF A类)
Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu. On the Copying Behaviors of Pre-Training for Neural Machine Translation. In Findings of the Association for Computational Linguistics: ACL 2021 (ACL Findings), 2021. (清华推荐分区A类，CCF A类)
Runzhe Zhan, Xuebo Liu (共同一作), Derek F. Wong, Lidia S. Chao. Difficulty-Aware Machine Translation Evaluation. In 59th Annual Meeting of the Association for Computational Linguistics (ACL), 2021. (清华推荐分区A类，CCF A类)
Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu. Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation. In 59th Annual Meeting of the Association for Computational Linguistics (ACL), 2021. (清华推荐分区A类，CCF A类)
Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu. Progressive Multi-Granularity Training for Non-Autoregressive Translation. In Findings of the Association for Computational Linguistics: ACL 2021 (ACL Findings), 2021. (清华推荐分区A类，CCF A类)
Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu. On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation. In Findings of the Association for Computational Linguistics: EMNLP 2021 (EMNLP Findings), 2021. (清华推荐分区A类，CCF B类)
Runzhe Zhan, Xuebo Liu (共同一作), Derek F. Wong, Lidia S. Chao. Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation. In 35th AAAI Conference on Artificial Intelligence (AAAI), 2021. (清华推荐分区A类，CCF A类)
Xuebo Liu, Houtim Lai, Derek F. Wong, Lidia S. Chao. Norm-Based Curriculum Learning for Neural Machine Translation. In 58th Annual Meeting of the Association for Computational Linguistics (ACL), 2020. (清华推荐分区A类，CCF A类)
Xuebo Liu, Derek F. Wong, Yang Liu, Lidia S. Chao, Tong Xiao, and Jingbo Zhu. Shared-Private Bilingual Word Embeddings for Neural Machine Translation. In 57th Annual Meeting of the Association for Computational Linguistics (ACL), 2019. Oral. (清华推荐分区A类，CCF A类)
期刊论文
Jun Rao, Xv Meng, Liang Ding, Shuhan Qi, Xuebo Liu, Min Zhang, Dacheng Tao. Parameter-Efficient and Student-Friendly Knowledge Distillation. IEEE Transactions on Multimedia (TMM), 2023. (清华推荐分区A类，CCF B类)
Chongman Leong, Xuebo Liu (共同一作), Derek F. Wong, Lidia S. Chao. Exploiting Translation Model for Parallel Corpus Mining. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), 2021. (清华推荐分区A类，CCF B类)
Xuebo Liu, Derek F. Wong, Lidia S. Chao, Yang Liu. Latent Attribute Based Hierarchical Decoder for Neural Machine Translation. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), 2019. (清华推荐分区A类，CCF B类)
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