Derek F. Wong
Associate Professor
I am an associate professor in the Department of Computer and Information Science at the University of Macau, leading the Natural Language Processing & Portuguese-Chinese Machine Translation Research Group (NLP2CT Lab). I am working on natural language processing, focusing on deep learning and machine translation. I received the Second Prize in the Technological Invention Award and the Second-class Prize in the Science and Technology Progress Award category of the Macao Science and Technology Award in 2022 and 2012, respectively. My recent NSFC, MOST, and FDCT projects focus on low-resource machine translation.
Computational Linguistics, Natural Language Processing, Machine Translation, Machine Learning
News
- 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.
- 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.
- University of Macau, Macau SAR
- Jul. 2022 ~ Jun. 2023: Interim Associate Dean of Faculty of Science and Technology
- Aug. 2017 ~ present: Associate Professor
- Feb. 2008 ~ Jul. 2017: Assistant Professor
- Sep. 2005 ~ Jan. 2008: Research Fellow
- Dublin City University, Dublin, Ireland
- Sep. 2018 ~ Nov. 2018: Visiting Scholar
- Institute of Systems and Computer Engineering of Macau, INESC-Macau, Macau SAR (2nd Appointment)
- Feb. 2008 ~ Dec. 2011: Project Manager
- Sep. 2005 ~ Jan. 2008: Research Fellow
- FST Teaching Excellence Award 2023/2024, University of Macau, 2024.
- The Second Prize of the Technological Invention Award, Macao Science and Technology Award 2022.
- 2021/2022 Incentive Scheme for Outstanding Academic Staff, presented by the University of Macau Development Foundation (UMDF) of the University of Macau (UM), 2022.
- FST Research Excellence Award, presented by the Faculty of Science and Technology (FST) of the University of Macau (UM), 2022.
- FST Teaching Excellence Award 2017/2018, University of Macau, 2018.
- Second Prize of Macau Science and Technology Progress Award, Macao Science and Technology Award 2012.
- Research on Chinese-Oriented Low-Resource Machine Translation Technologies, NSFC-FDCT, FDCT/060/2022/AFJ, 2023/01-2025/12, PI.
- Modularized Semantic Neural Machine Translation: Fundamentals & Application, MOST-FDCT, FDCT/070/2022/AMJ, 2022/12-2025/12, PI.
- Pretraining-based Automatic Evaluation of Machine Translation, MYRG, MYRG-GRG2023-00006-FST-UMDF, 2024/01-2025/12, PI.
- Large Language Models for Machine Translation with Enhanced Discourse Modeling, Tencent AI Lab Rhino-Bird, 2023/07-2024/06, PI.
- Research of Non-Autoregressive Neural Machine Translation, MYRG, MYRG2020-00054-FST, 2021/01-2023/12, PI.
- How does a Machine Translate Human Language? The 4th Macau Young Scientists Conference Seminars and Award Ceremony, Macau, 2022
- Advances in Neural Network Machine Translation and Its Applications, The NewTranx Forum: The Fourth Lecture, Shenzhen, 2022
- Portuguese-Chinese Machine Translation Research, Artificial Intelligence & International Communication Forum, Beijing, 2022
- Word or Attributes: Learning Better Bilingual Word Embeddings for NMT, First Symposium on Frontiers of Science and Technology, University of Macau, 2022
- Neural Machine Translation Model Training & Evaluation Methods, Beihang University, 2021
- Difficulty-Aware NMT Model Training & Evaluation Methods, The 2021 International Conference on Big Data and Machine Intelligence: Models, Algorithms and Applications (ICBM), 2021
- A Cognitive Perspective for Understanding NMT Training and Evaluation, The Alibaba Apsara Conference 2021, 2021
- Probing the Learning of an NMT Model and Its Training Strategy, NiuTrans Forum: The First Online Machine Translation Forum, 2021
- Will AI Replace Human Translators? TEDx Senado Square 2020, 2020
- Enhancing Neural MT via Linguistic Information, The iFLYTEK 1024 Global Developer Fest, 2019
- Deep Learning for Portuguese-Chinese Machine Translation, Coimbra University, Portugal, 2019
- Intelligent Translation Technologies: Building Multilingual Translation Ecosystem, Fábrica de Startup Rio, Rio de Janeiro, Brazil, 2019
- Linguistic Inspired Machine Translation Model, Huawei Noah Ark Lab, 2019
- The Research of Portuguese-Chinese Machine Translation Based on Deep Learning, Tsinghua University, 2019
- Recent MT Research in UM: An Application to Portuguese-Chinese Translation, University of Macau, 2019
- Enhancing NMT via Linguistic Information, ADAPT Centre, Dublin City University, Ireland, 2018
- Bidirectional Hierarchical Representations for Attention-Based Neural Machine Translation, Soochow University, 2017
- Chinese-Portuguese MT: Toward Better Chinese Word Segmentation for Statistical Machine Translation via Graph Knowledge Constraints, The 16th China-Japan Natural Language Processing Joint Promotion Conference (CJNLP 2016), Shenyang, China, 2016
- Chi Seng Cheang, Hou Pong Chan, Derek F. Wong, Xuebo Liu, Zhaocong Li, Yanming Sun, Shudong Liu, Lidia S. Chao. TempoSum: Evaluating the Temporal Generalization of Abstractive Summarization. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), 2023.
- Runzhe Zhan, Xuebo Liu, Derek F. Wong, Cuilian Zhang, Lidia S. Chao and Min Zhang. Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2023), 2023.
- Shudong Liu, Xuebo Liu, Derek F. Wong, Zhaocong Li, Wenxiang Jiao, Lidia S. Chao and Min Zhang. kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2023), 2023.
- Xuebo Liu, Yutong Wang, Derek F. Wong, Runzhe Zhan, Liangxuan Yu and Min Zhang. Revisiting Commonsense Reasoning in Machine Translation: Training, Evaluation and Challenge. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2023), 2023.
- Qingyu Lu, Liang Ding, Liping Xie, Kanjian Zhang, Derek F. Wong and Dacheng Tao. Toward Human-Like Evaluation for Natural Language Generation with Error Analysis. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2023), 2023.
- Yinghao Li, Xuebo Liu, Shuo Wang, Peiyuan Gong, Derek F. Wong, Yang Gao, Heyan Huang and Min Zhang. TemplateGEC: Improving Grammatical Error Correction with Detection Template. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2023), 2023.
- Tao Fang, Jinpeng Hu, Derek F. Wong, Xiang Wan, Lidia S. Chao and Tsung-Hui Chang. Improving Grammatical Error Correction with Multimodal Feature Integration. In Findings of the Association for Computational Linguistics (ACL 2023), 2023.
- Tao Fang, Xuebo Liu, Derek F. Wong, Runzhe Zhan, Liang Ding, Lidia S. Chao, Dacheng Tao and Min Zhang. TransGEC: Improving Grammatical Error Correction with Translationese. In Findings of the Association for Computational Linguistics (ACL 2023), 2023.
- Guanhua Chen, Runzhe Zhan, Derek F. Wong, and Lidia S. Chao. Multi-Level Curriculum Learning for Multi-Turn Dialogue Generation. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), vol. 31, pp. 3958–3967, 2023.
- Xu, Mingzhou, Longyue Wang, Siyou Liu, Derek F. Wong, Shuming Shi, and Zhaopeng Tu. A Benchmark Dataset and Evaluation Methodology for Chinese Zero Pronoun Translation. Language Resources and Evaluation (LRE): 1-31, 2023.
- Zhang, Cuilian, Derek F. Wong, Eddy SK Lei, Runzhe Zhan, and Lidia S. Chao. Obscurity-Quantified Curriculum Learning for Machine Translation Evaluation. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), vol. 31, pp. 2259–2271, 2023.
- Huang, Zhihong, Longyue Wang, Siyou Liu, and Derek F. Wong. How Does Pretraining Improve Discourse-Aware Translation?. In Proceedings of INTERSPEECH, pp. 3899–3903. 2023.
- Xinyi Yang, Runzhe Zhan, Derek F. Wong, Junchao Wu and Lidia S. Chao. Human-in-the-loop Machine Translation with Large Language Model. In Proceedings of the 19th International Conference of Machine Translation Summit (MT Summit XIX), Vol. 2: Users Track, pages 88–98, 2023.
- Wai Lei Song, Haoyun Xu, Derek F. Wong, Runzhe Zhan, Lidia S. Chao and Shanshan Wang. Towards Zero-Shot Multilingual Poetry Translation. In Proceedings of the 19th International Conference of Machine Translation Summit (MT Summit XIX), Vol. 1: Research Track, pages 324–335, 2023.
- Jingkun Ma, Runzhe Zhan, and Derek F. Wong. 2023. Yu Sheng: Human-in-Loop Classical Chinese Poetry Generation System. In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL): System Demonstrations, pages 57–66, Dubrovnik, Croatia. Association for Computational Linguistics.
- Zhaocong Li, Xuebo Liu, Derek F. Wong, Lidia S. Chao, and Min Zhang. ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), pages 8383–8394, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics.
- Mingzhou Xu, Longyue Wang, Derek F. Wong, Hongye Liu, Linfeng Song, Lidia S. Chao, Shuming Shi, and Zhaopeng Tu. GuoFeng: A Benchmark for Zero Pronoun Recovery and Translation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), pages 11266–11278, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics.
- Yu Wan, Dayiheng Liu, Baosong Yang, Haibo Zhang, Boxing Chen, Derek F. Wong, and Lidia Chao. UniTE: Unified Translation Evaluation. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), pp. 8117-8127. 2022.
- Yu Wan, Baosong Yang, Dayiheng Liu, Rong Xiao, Derek F. Wong, Haibo Zhang, Boxing Chen, and Lidia Chao. Attention Mechanism with Energy-Friendly Operations. In Findings of the Association for Computational Linguistics: ACL 2022, pp. 3969-3976. 2022.
- Rong Xiao, Yu Wan, Baosong Yang, Haibo Zhang, Huajin Tang, Derek F. Wong, Boxing Chen. Towards Energy-Preserving Natural Language Understanding With Spiking Neural Networks. In IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), vol. 31, pp. 439-447, 2022.
- Yu Wan, Keqin Bao, Dayiheng Liu, Baosong Yang, Derek F. Wong, Lidia S. Chao, Wenqiang Lei, and Jun Xie. Alibaba-Translate China’s Submission for WMT 2022 Metrics Shared Task. In Proceedings of the Sixth Conference on Machine Translation (WMT), 2022.
- Keqin Bao, Yu Wan, Dayiheng Liu, Baosong Yang, Wenqiang Lei, Xiangnan He, Derek F. Wong, and Jun Xie. Alibaba-Translate China’s Submission for WMT 2022 Quality Estimation Shared Task. In Proceedings of the Sixth Conference on Machine Translation (WMT), 2022.
- Yu Wan, Baosong Yang, Derek F. Wong, Lidia S. Chao, Liang Yao, Haibo Zhang, and Boxing Chen. Challenges of Neural Machine Translation for Short Texts. Computational Linguistics: 1-21.
- Mingzhou Xu, Baosong Yang, Derek F. Wong, and Lidia S. Chao. (2022). Multi-view Self-attention Networks. Knowledge-Based Systems. 241 (2022), p. 108268.
- Mingzhou Xu, Liangyou Li, Derek F. Wong, Qun Liu, Lidia S. Chao. (2021) Document Graph for Neural Machine Translation. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), 8435–8448.
- Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, and Zhaopeng Tu. (2021) On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation. In Findings of the Association for Computational Linguistics: EMNLP 2021, pp. 2900-2907. 2021.
- Yu Wan, Dayiheng Liu, Baosong Yang, Tianchi Bi, Haibo Zhang, Boxing Chen, Weihua Luo, Derek F. Wong, and Lidia S. Chao. (2021). RoBLEURT Submission for WMT2021 Metrics Task. In Proceedings of the Sixth Conference on Machine Translation, pp. 1053-1058. 2021.
- Runzhe Zhan, Xuebo Liu, Derek F. Wong and Lidia S. Chao. (2021). Variance-Aware Machine Translation Test Sets. In Proceedings of the Twenty-ninth Conference on Neural Information Processing Systems, Datasets & Benchmarks Track (NeurIPS 2021).
- Chongman Leong, Xuebo Liu, Derek F. Wong, and Lidia S. Chao. (2021) Exploiting translation model for parallel corpus mining. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), 29 (2021): 2829-2839.
- Runzhe Zhan, Xuebo Liu, Derek F. Wong and Lidia S. Chao. (2021). Difficulty-Aware Machine Translation Evaluation. In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021).
- Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi and Zhaopeng Tu. (2021). Reducing Copying Errors in Pre-Training for Neural Machine Translation. In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021).
- Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, and Zhaopeng Tu. (2021). Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation. In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021).
- Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao and Zhaopeng Tu. (2021). Progressive Multi-Granularity Training for Non-Autoregressive Translation. In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021).
- Dong Wang, Yang Zhang, Qiang Li, Yue Shen, Ziqi Liu, Xiaodong Zeng, Zhiqiang Zhang, Jinjie Gu and Derek F. Wong. (2021). User Retention: A Causal Approach with Triple Task Modeling. In Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021).
- Runzhe Zhang, Xuebo Liu, Derek F. Wong, Lidia S. Chao. (2021). Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation. In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), AAAI.
- Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Zhaopeng Tu. (2021). Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning. In Proceedings of the 8th International Conference on Learning Representations (ICLR 2021).
- Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu. (2021). Understanding and Improving Lexical Choice in Non-Autoregressive Translation. In Proceedings of the 8th International Conference on Learning Representations (ICLR 2021).
- Yujia Huo, Derek F. Wong, Lionel Ming-shuan Ni, Lidia S. Chao, Jing Zhang, and Xin Zuo. Learning Cognitive Embedding Using Signed Knowledge Interaction Graph. Knowledge-Based Systems 229 (2021).
- Bai, Xuefeng, Yafu Li, Zhirui Zhang, Mingzhou Xu, Boxing Chen, Weihua Luo, Derek F. Wong, and Yue Zhang. (2021) Sentence-State LSTMs For Sequence-to-Sequence Learning. In CCF International Conference on Natural Language Processing and Chinese Computing, pp. 104-115. Springer, Cham, 2021.
- Yikai Zhou, Baosong Yang, Derek F. Wong, Yu Wan and Lidia S. Chao. (2020). Uncertainty-Aware Curriculum Learning for Neural Machine Translation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020). Seattle, US: Association for Computational Linguistics.
- Xuebo Liu, Houtim Lai, Derek F. Wong, Lidia S. Chao and Liang Tian. (2020). Norm-Based Curriculum Learning for Neural Machine Translation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020). Seattle, US: Association for Computational Linguistics.
- Bowen Wu, MengYuan Li, Zongsheng Wang, Yifu Chen, Derek F. Wong, Qihang Feng, Junhong Huang and Baoxun Wang. (2020). Guiding Variational Response Generator to Exploit Persona. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020). Seattle, US: Association for Computational Linguistics.
- Xuancheng Huang, Jiacheng Zhang, Zhixing Tan, Derek F. Wong, Huanbo Luan, JingfangXu, Maosong Sun and Yang Liu. (2020). Modeling Voting for System Combination in Machine Translation. In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020), 3694-3701.
- Yu Wan, Baosong Yang, Derek F. Wong, Lidia S. Chao, Haihua Du, Ben C. H. Ao. (2020). Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling. In Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), AAAI Press.
- Yu Wan, Baosong Yang, Derek F. Wong, Yikai Zhou, Lidia S. Chao, Haibo Zhang and Boxing Chen. (2020). Self-Paced Learning for Neural Machine Translation. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020). Association for Computational Linguistics.
- Yujia Huo, Derek F. Wong, Lionel M. Ni, Lidia S. Chao, and Jing Zhang (2020). HeTROPY: Explainable Learning Diagnostics Via Heterogeneous Maximum-Entropy and Multi-Spatial Knowledge Representation. Knowledge-Based Systems, 207 (2020): 1-10.
- Yujia Huo, Derek F. Wong, Lionel M. Ni, Lidia S. Chao, and Jing Zhang (2020). Knowledge Modeling via Contextualized Representations for LSTM-based Personalized Exercise Recommendation. Information Sciences, 523 (2020): 266-278.
- Baosong Yang, Derek F. Wong, Lidia S. Chao, and Min Zhang (2020). Improving Tree-Based Neural Machine Translation with Dynamic Lexicalized Dependency Encoding. Knowledge-Based Systems, 188, 1–10.
- Shuailong Liang, Derek F. Wong, and Yue Zhang. (2020). Exploring COVID-19-related Twitter Topic Dynamics across Countries. In Proceedings of the 19th Chinese National Conference on Computational Linguistics, pp. 707-718.
- Data
- UM-Corpus: A large, multi-domain English-Chinese parallel corpus (Tian et al., 2014).
- UM-pCorpus: A Large Portuguese-Chinese Parallel Corpus (Chao et al., 2018).
- Software
- Graduate Courses
- Fall, 2019 ~ 2021 Data Science and Data Visualization
- Fall, 2016 ~ 2021 Applied Natural Language Processing
- Spring, 2012 ~ 2015 Machine Translation
- Fall, 2016 University Teaching II
- Spring, 2015 University Teaching I
- Undergraduate Courses
- Spring 2018 ~ 2021 Natural Language Processing
- Fall 2018 Introduction to Database Systems
- Fall, 2012 ~ 2017 Introduction to Natural Language Processing
- Fall, 2018 Computer Organization
- Fall, 2009 ~ 2017 Compiler Construction
- Current Students
- Cuilian Zhang, PhD, since 2017
- Mingzhou Xu, PhD, since 2017
- Yu Wan, PhD, since 2018
- Wai Lei Song, Master, since 2019
- Tao Fang, PhD, since 2020
- Songsheng Wang, PhD, since 2020
- Jianjui Pang, PhD, since 2020
- Zhaocong Li, Master, since 2020
- Yanming Sun, Master, since 2020
- Zefeng Du, Master, since 2020
- Zhihong Huang, Master, since 2020
- Runzhe Zhan, PhD, since 2021
- Shanshan Wang, PhD, since 2022
- Guanhua Chen, PhD, since 2023
- Organizations
- 2019 ~ present: Member, Machine Translation Steering Committee, Chinese Information Processing Society of China (CIPS)
- 2019 ~ 2021: Member-at-Large, Executive Committee Members, Asian Federation of Natural Language (AFNLP)
- 2019 ~ present: Vice President, Board of Director, Macau Greater Bay Area Artificial Intelligence Institute
- 2015 ~ 2016: Chair, IEEE Engineering in Medicine and Biology Society (EMBS) Hong Kong – Macau Joint Chapter
- 2012 ~ present: Member, Board of Director, Chinese Information Processing Society of China (CIPS)
- 2012 ~ present: President, Board of Director, Macau Web Intelligence Consortium (WIC) Association
- 2010 ~ present: Vice President, Board of Supervisors, Macau Society of Biomedical Engineering (MSBME)
- Journals
- Associate Editor: IEEE/ACM Transactions on Audio Speech and Language Processing (TASLP) (2023~present)
- Associate Editor: ACM Transactions on Asian and Low Resource Language Information Processing (TALLIP) (2022~present)
- Action Editor: ACL Rolling Review (ARR, 2023~)
- Editorial Board Member: Machine Translation Journal, Springer (2019~present)
- Editorial Board Member: Natural Language Processing, Elsevier (2022~present)
- Reviewer: ACL Rolling Review (ARR, 2021), Computational Linguistics (CL, 2020~present), Transactions of the Association for Computational Linguistics (TACL, 2020~2022), ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP, 2016~present), IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP, 2015~present), Neurocomputing (2021~present)
- Conferences
- Organizer: MT Summit (2023), IJCAI (2019), CWMT (2014), O-COCOSDA (2012)
- Program Co-Chair: CWMT (2017), O-COCOSDA (2012)
- Area Co-Chair: EMNLP (2020), CCL (2016, 2019, 2021), NLPCC (2019, 2021)
- Demo Co-Chair: AACL-IJCNLP (2020), EMNLP (2019)
- Publication Co-Chair: COLING (2020), IJCNLP (2017)
- Local Organization Committee Member: EMNLP-IJCNLP (2019), IJCAI (2019), CWMT (2014)
- Sponsorship Co-Chair: NLPCC (2020), WAIM (2014)
- Student Research Workshop Co-Chair: ACL-IJCNLP (2021)
- Senior PC Member: IJCAI (2020)
- PC Member: ICML (2021), NeurIPS (2020~ ), AAAI (2019~ ), IJCAI (2019~ ), ACL (2014~ ), EMNLP (2015~ ), NAACL-HLT (2016~ ), EACL (2021), MT Summit (2021), COLING (2014, 2018, 2020), CCL (2016~ ), NLPCC (2015, 2018~ )
Copyright © Derek F. Wong. Last Updates: 2021-08