Derek F. Wong
Associate Professor
Interim Associate Dean (Academic Affairs)
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, with a particular focus on deep learning and machine translation. I was the recipient of the Second-class Prize in the Science and Technology Progress Award category of the Macao Science and Technology Award 2012. My recent NSFC and FDCT projects focus on low-resource machine translation.
Computational Linguistics, Natural Language Processing, Machine Translation, Machine Learning
News
- 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.
- 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.
- University of Macau, Macau SAR
- Jul. 2022 ~ present: 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
- 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, Macau SAR, 2012
- Research of Non-Autoregressive Neural Machine Translation, MYRG, MYRG2020-00054-FST, 2021/01-2023/12, PI.
- Guiding Self-Attention Based Neural Machine Translation with Linguistic Prior Knowledge, FDCT, 0101/2019/A2, 2019/09-2022/08, PI.
- Research of Chinese-Portuguese Machine Translation Based on Deep Learning, NSFC-FDCT, FDCT/045/2017/AFJ, 2018/01-2020/12, Co-PI.
- Research on Domain Adaptation for Low-Resource Chinese-Portuguese Machine Translation in Big Data Era: Methodology and Its Implementation, NSFC, 61702203, 2017/01-2020/12, PI.
- Morpho-Syntactic Modeling for Chinese-Portuguese Statistical Machine Translation (SMT), MYRG, MYRG2017-00087-FST, 2018/01-2020/12, PI.
- Research on Linguistic Prediction Model with Graph-based Semi-Supervised Learning, MYRG, MYRG2015-00188-FST, 2015/05-2018/04, PI.
- Heterogeneous Domain Adaptation Model for SMT, FDCT, 057/2014/A, 2015/01-2017/01, PI.
- Domain Adaptation in Statistical Machine Translation Based on Graph Propagation, MYRG, MYRG2015-00175-FST, 2015/04-2018/03, PI.
Selected Publications
- 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 (Volume 1: Long Papers), 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.
- 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.
- Mingzhou Xu, Derek F. Wong, Baosong Yang, Yue Zhang, and Lidia S. Chao. (2019). Leveraging Local and Global Patterns for Self-Attention Networks. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) (pp. 3069–3075). Florence, Italy: Association for Computational Linguistics.
- Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao, and Zhaopeng Tu. (2019). Assessing the Ability of Self-Attention Networks to Learn Word Order. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019) (pp. 3635–3644). Florence, Italy: Association for Computational Linguistics.
- Xuebo Liu, Derek F. Wong, Yang Liu, Lidia S. Chao, Tong Xiao, and Jingbo Zhu. (2019). Shared-Private Bilingual Word Embeddings for Neural Machine Translation. In Proceedings of The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019), Florence, Italy. Association for Computational Linguistics.
- Qiang Wang, Bei Li, Tong Xiao, Jingbo Zhu, Changliang Li, Derek F. Wong, and Lidia S. Chao. (2019). Learning Deep Transformer Models for Machine Translation. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019). Florence, Italy: Association for Computational Linguistics.
- Baosong Yang, Jian Li, Derek F. Wong, Lidia S. Chao, Xing Wang, and Zhaopeng Tu. (2019). Context-Aware Self-Attention Networks. In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), AAAI Press.
- Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao, and Zhaopeng Tu. (2019). Convolutional Self-Attention Networks. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2019). Minneapolis, Minnesota: Association for Computational Linguistics.
- Xuebo Liu, Derek F. Wong, Lidia S. Chao, Yang Liu. (2019). Latent Attribute-Based Hierarchical Decoder for Neural Machine Translation. IEEE/ACM Trans. Audio, Speech & Language Processing, 27(12), 2103-2112.
- Qiang Li, Derek F. Wong, Lidia S. Chao, Muhua Zhu, Tong Xiao, Jingbo Zhu, and Min Zhang. (2018). Linguistic Knowledge-Aware Neural Machine Translation. IEEE/ACM Trans. Audio, Speech & Language Processing (TASLP), 26(12), 2341–2354.
- 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
- Xiaodong Zeng, PhD, since 2013
- Cuilian Zhang, PhD, since 2017
- Mingzhou Xu, PhD, since 2017
- Haihua Du, Master, since 2017
- Yu Wan, PhD, since 2018
- Yixun Cheng, Master, since 2019
- Shanshan Wang, Master, since 2019
- Runzhe Zhan, Master, since 2019
- Wai Lei Song, Master, since 2019
- Tao Fang, PhD, since 2020
- Songsheng Wang, PhD, since 2020
- Jianjui Pang, PhD, since 2020
- Guanhua Chen, Master, since 2020
- Zhaocong Li, Master, since 2020
- Yanming Sun, Master, since 2020
- Zefeng Du, Master, since 2020
- Zhihong Huang, Master, since 2020
- 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
- Editorial Board Member: Machine Translation Journal, Springer (2019~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