06-2024: I am excited to receive the university-level Teaching Excellence Award, presented at the 2024 Congregation held on June 2.
05-2024: I have been invited to serve as an Action Editor for TACL.
05-2024: We have one paper accepted to the ACL 2024 main conference and six ACL Findings papers. Congratulations to Shanshan Wang, Runzhe Zhan, Jianhui Pang, Kaixin Lan, and all co-authors. Check out our papers on What is the Best Way for ChatGPT to Translate Poetry?, Prefix Text as a Yarn: Eliciting Non-English Alignment in Foundation Language Model, FOCUS: Forging Originality through Contrastive Use in Self-Plagiarism for Language Models, Anchor-based Large Language Models, Benchmarking and Improving Long-Text Translation with Large Language Models, Domain-Aware k-Nearest-Neighbor Knowledge Distillation for Machine Translation, and Towards Demonstration-Aware Large Language Models for Machine Translation.
03-2024: Received the Teaching Excellence Award, presented by the Faculty of Science and Technology (FST) of the University of Macau (UM).
02-2024: We have three papers accepted to the LREC-COLING 2024 main conference. Congratulations to Jianhui Pang, Guanhua Chen, Xinyu Ma, and all co-authors. Check out our papers on MoNMT: Modularly Leveraging Monolingual and Bilingual Knowledge for Neural Machine Translation, A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU, and 3AM: An Ambiguity-Aware Multimodal Machine Translation Dataset.
06-2023: Our paper, Rethinking the Exploitation of Monolingual Data for Low-Resource Neural Machine Translation, was accepted by Computational Linguistics.
05-2023: We have five papers accepted to the ACL 2023 main conference, and two ACL Findings papers. Congratulations to Runzhe Zhan, Tao Fang, Shudong Liu, and all co-authors. Check out our papers on Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization, kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation, Revisiting Commonsense Reasoning in Machine Translation: Training, Evaluation and Challenge, Toward Human-Like Evaluation for Natural Language Generation with Error Analysis, TemplateGEC: Improving Grammatical Error Correction with Detection Template, Improving Grammatical Error Correction with Multimodal Feature Integration, and TransGEC: Improving Grammatical Error Correction with Translationese.
12-2022: Received the grant for the project titled, Research on Chinese-Oriented Low-Resource Machine Translation Technologies, jointly funded by FDCT and NSFC.
11-2022: Received The Second Prize of the Technological Invention Award, Macao Science and Technology Award 2022.
11-2022: Received the grant for the project titled, Modularized Semantic Neural Machine Translation: Fundamentals & Application, jointly funded by FDCT and MOST.
07-2022: Appointed as the Interim Associate Dean (Academic Affairs) of the Faculty of Science and Technology of the University of Macau.
06-2022: Received the 2021/2022 Incentive Scheme for Outstanding Academic Staff, presented by the University of Macau Development Foundation (UMDF) of the University of Macau (UM).
01-2022: The paper Multi-View Self-Attention Networks was accepted by the Knowledge-Based Systems. Congratulations to Mingzhou Xu and all co-authors.
01-2022: Ranked 1st for Machine Translation – Evaluation Metrics on Chinese-English/Czech-English/German-English/Japanese-English Translation Systems, and 2nd for Machine Translation – Evaluation Metrics on Hausa-English and Icelandic-English Translation Systems, at the Sixth Machine Translation Conference (WMT 2021). Congratulations to Yu Wan and all team members.
11-2021: Invited keynote speaker to give a talk, Difficulty-Aware NMT Model Training & Evaluation Methods, at the 2021 International Conference on Big Data and Machine Intelligence: Models, Algorithms and Applications (ICBM).
10-2021: Give a talk, A Cognitive Perspective for Understanding NMT Training and Evaluation, at the Alibaba Apsara Conference 2021.
07-2021: One paper accepted to the NeurIPs 2021 Track Datasets and Benchmarks. Congratulations to Runzhe Zhan, and all co-authors. Check out the paper on Variance-Aware Machine Translation Test Sets.
07-2021: Give a talk, Probing the Learning of an NMT Model and Its Training Strategy (in Chinese), at the NiuTrans Forum: The First Online Machine Translation Forum.
05-2021: Congratulations to Xuebo Liu for successfully defending his Ph.D.!
04-2021: A paper accepted to IJCAI 2021. Congratulations to Xiaodong Zeng, and all co-authors. Check out the paper on User Retention: A Causal Approach with Triple Task Modeling.
11-2019: A paper accepted to AAAI 2020. Congratulations to Baosong Yang, and all co-authors. Check out the paper on Context-Aware Self-Attention Networks.
02-2019: A paper accepted to NAACL 2019. Congratulations to Baosong Yang, and all co-authors. Check out the paper on Convolutional Self-Attention Networks.