Derek F. Wong
Associate Professor
- 12-2024: I am the PC Co-chair of IJCNLP-AACL 2025.
- 11-2024: Three papers are accepted to the COLING 2025. Congratulations to Junchao Wu, Runzhe Zhan, and all co-authors.
- 11-2024: Our submitted system ranked 1st in the Discourse-Level Literary Translation task at the Ninth Conference on Machine Translation (WMT 2023).
- 09-2024: We have four papers accepted to the NeurIPS 2024. Congratulations to Junchao Wu, Runzhe Zhan, Jianhui Pang, and all co-authors.
- 09-2024: We have two papers accepted to the EMNLP 2024 main conference and two Findings papers. Congratulations to Renhao Li, Shudong Liu, Zhaocong Li, Pei Zhang, and all co-authors.
- 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).
- 03-2024: I am the PC Co-chairs of NLPCC 2024.
- 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.
- 10-2023: We have a paper accepted to the EMNLP 2023. Congratulations to Andy Cheang and all co-authors. Check out our paper on Can LMs Generalize to Future Data? An Empirical Analysis on Text Summarization.
- 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.
- 02-2023: Our demo paper was accepted by the EACL 2023. Congratulations to Jingkun Ma and Runzhe Zhan. Check out the paper on Yu Sheng: Human-in-Loop Classical Chinese Poetry Generation System and the online system at: https://yusheng.cis.um.edu.mo/.
- 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.
- 10-2022: We have two papers accepted to the EMNLP 2022 main conference. Congratulations to Mingzhou Xu, Zhaocong Li, and all co-authors. Check out the papers on GuoFeng: A Benchmark for Zero Pronoun Recovery and Translation and ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation.
- 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).
- 05-2022: Give a talk, Word or Attributes: Learning Better Bilingual Word Embeddings for NMT, at the FST’s First Symposium on Frontiers of Science and Technology, University of Macau.
- 03-2022: Received the Research Excellence Award, presented by the Faculty of Science and Technology (FST) of the University of Macau (UM).
- 02-2022: One paper was accepted to the ACL 2022 main conference, and one paper was accepted to the ACL Findings. Congratulations to Yu Wan, Baosong Yang, and all co-authors. Check out the papers on UniTE: Unified Translation Evaluation and Attention Mechanism with Energy-Friendly Operations and Attention Mechanism with Energy-Friendly Operations.
- 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.
- 12-2021: Give a talk, Neural Machine Translation Model Training & Evaluation Methods, at Beihang University.
- 12-2021: The paper Challenges of Neural Machine Translation for Short Texts was accepted by the Computational Linguistics (CL). Congratulations to Yu Wan and all co-authors.
- 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.
- 08-2021: One paper was accepted to the EMNLP 2021 main conference, and one paper was accepted to the EMNLP Findings. Congratulations to Mingzhou Xu, Xuebo Liu, and all co-authors. Check out the papers on Document Graph for Neural Machine Translation and On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation.
- 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: A paper accepted to the IEEE/ACM TASLP. Congratulations to Chongman Leong, Xuebo Liu, and all co-authors. Check out the paper on Exploiting Translation Model for Parallel Corpus Mining.
- 07-2021: A paper accepted to KBS. Congratulations to Yujia Huo and all co-authors. Check out the paper on Learning Cognitive Embedding Using Signed Knowledge Interaction Graph.
- 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.!
- 05-2021: Two papers were accepted to the ACL-IJCNLP 2021 main conference, and two papers were accepted to the ACL Findings. Congratulations to Xuebo Liu, Runzhe Zhan, and all co-authors. Check out the papers on Reducing Copying Errors in Pre-Training for Neural Machine Translation, Difficulty-Aware Machine Translation Evaluation, Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation, and Progressive Multi-Granularity Training for Non-Autoregressive Translation.
- 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.
- 01-2021: Two papers accepted to ICLR 2021 main conference. Congratulations to Xuebo Liu, and all co-authors. Check out the papers: https://arxiv.org/abs/2012.14768 and https://arxiv.org/abs/2012.14583.
- 12-2020: A paper accepted to AAAI 2021. Congratulations to Runzhe Zhan, Xuebo Liu, and all co-authors. Check out the paper on Meta-Curriculum Learning for Domain Adaptation in NMT.
- 09-2020: A paper accepted to EMNLP 2020. Congratulations to Yu Wan, Baosong Yang, and all co-authors. Check out the paper on Self-Paced Learning for Neural Machine Translation.
- 08-2020: Give a talk Will AI Replace Human Translator (in Cantonese) at the TEDx Senado Square 2020.
- 04-2020: Two papers accepted to ACL 2020 main conference. Congratulations to Xuebo Liu, Yikai Zhou, and all co-authors. Check out the papers on Norm-Based Curriculum Learning for Neural Machine Translation and Uncertainty-Aware Curriculum Learning for Neural Machine Translation.
- 03-2020: UM-CAT is free to access to small- and medium-sized enterprises during the epidemic. Check out the news.
- 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.
- 05-2019: Three papers accepted to ACL 2019 main conference. Congratulations to Mingzhou Xu, Xuebo Liu, Baosong Yang, and all co-authors. Check out the papers on Leveraging Local and Global Patterns for Self-Attention Networks, Shared-Private Bilingual Word Embeddings for Neural Machine Translation, and Assessing the Ability of Self-Attention Networks to Learn Word Order.
- 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.