Derek Wong – Publications – Faculty of Science and Technology

Yiming Wang, Pei Zhang, Baosong Yang, Derek F. Wong, and Rui Wang. (2025). Latent Space Chain-of- Embedding Enables Output-free LLM Self-Evaluation. In: The Thirteenth International Conference on Learning Representations, ICLR 2025.
Zihao Zhou, Shudong Liu, Maizhen Ning, Wei Liu, Jindong Wang, Derek F. Wong, Xiaowei Huang, Qiufeng Wang, and Kaizhu Huang. (2025). Is Your Model Really A Good Math Reasoner? Evaluating Mathe- matical Reasoning with Checklist. In: The Thirteenth International Conference on Learning Representations, ICLR 2025.
Yutong Wang, Jiali Zeng, Xuebo Liu, Derek F. Wong, Fandong Meng, Jie Zhou, and Min Zhang. (2025). DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory. In: The Thirteenth International Conference on Learning Representations, ICLR 2025.
Yuyi Huang, Runzhe Zhan, Derek F. Wong, Lidia S. Chao, and Ailin Tao. (2025). Intrinsic Model Weaknesses: How Priming Attacks Unveil Vulnerabilities in Large Language Models. In: Proceedings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics, NAACL 2025. Association for Computational Linguistics.
Mu You, Jing Zhang, Derek F. Wong, and Kaixin Lan. (2025). UMPLC: the First Longitudinal Learner Corpus of Portuguese. Lang Resources & Evaluation (2025).
Junchao Wu, Runzhe Zhan, Derek F. Wong, Shu Yang, Xuebo Liu, Lidia S. Chao, and Min Zhang. (2025). Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore. In: Proceedings of the 31st International Conference on Computational Linguistics, COLING 2025. Association for Computational Linguistics, Jan. 2025, pp. 10275–10292.
Haoyun Xu, Runzhe Zhan, Yingpeng Ma, Derek F. Wong, and Lidia S. Chao. (2025). Let‘s Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model. In: Proceedings of the 31st International Conference on Computational Linguistics, COLING 2025. Association for Computational Linguistics, Jan. 2025, pp. 9393–9406.
Jiahao Zhao, Jingwei Zhu, Minghuan Tan, Min Yang, Renhao Li, Yang Di, Chenhao Zhang, Guancheng Ye, Chengming Li, Xiping Hu, and Derek F. Wong. (2025). CPsyExam: A Chinese Benchmark for Evaluating Psychology using Examinations. In: Proceedings of the 31st International Conference on Computational Linguistics, COLING 2025. Association for Computational Linguis- tics, Jan. 2025, pp. 11248–11260.

2024

Liangxin Liu, Xuebo Liu, Derek F. Wong, Dongfang Li, Ziyi Wang, Baotian Hu, and Min Zhang. SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection. In: Proceedings of the Thirty-eighth Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, Canada, December 09 – 15, 2024.
YimingWang, Pei Zhang, Baosong Yang, Derek F.Wong, Zhuosheng Zhang, and RuiWang. Trajectory Volatility for Out-of-Distribution Detection in Mathematical Reasoning. In: Proceedings of the Thirtyeighth Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, Canada, December 09 – 15, 2024.
Junchao Wu, Runzhe Zhan, Derek F. Wong, Shu Yang, Xinyi Yang, Yulin Yuan, and Lidia S. Chao. DetectEval: Benchmarking LLM-Generated Text Detection in Real-World Scenarios. In: Proceedings of the Thirty-eighth Conference on Neural Information Processing Systems, Datasets and Benchmarks Track, NeurIPS 2024, Vancouver, Canada, December 09-15, 2024.
Fanghua Ye, Mingming Yang, Jianhui Pang, LongyueWang, Derek F. Wong, Emine Yilmaz, Shuming Shi, and Zhaopeng Tu. Benchmarking LLMs via Uncertainty Quantification. In: Proceedings of the Thirty-eighth Conference on Neural Information Processing Systems, Datasets and Benchmarks Track, NeurIPS 2024, Vancouver, Canada, December 09-15, 2024.
Renhao Li, Minghuan Tan, Derek F. Wong, and Min Yang. CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation. In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, Florida, November 12-16, 2024. Association for Computational Linguistics, 2024.
Shudong Liu, Zhaocong Li, Xuebo Liu, Runzhe Zhan, Derek F. Wong, Lidia S. Chao, and Min zhang. Can LLMs Learn Uncertainty on Their Own? Expressing Uncertainty Effectively in A Self-Training Manner. In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, Florida, November 12-16, 2024. Association for Computational Linguistics, 2024.
Zhipeng Qian, Pei Zhang, Baosong Yang, Kai Fan, Yiwei Ma, Derek F. Wong, Xiaoshuai Sun, and Rongrong Ji. AnyTrans: Translate AnyText in the Image with Large Scale Models. In: Findings of the Association for Computational Linguistics: EMNLP 2024. Association for Computational Linguistics, 2024.
Tianxiang Hu, Pei Zhang, Baosong Yang, Jun Xie, Derek F. Wong, and Rui Wang. Large Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning. In: Findings of the Association for Computational Linguistics: EMNLP 2024. Association for Computational Linguistics, 2024.
Yanming Sun, Xuebo Liu, Derek F.Wong, Yuchu Lin, Bei Li, Runzhe Zhan, Lidia S. Chao, and Min Zhang. Understanding and Improving Low-Resource Neural Machine Translation with Shallow Features. In: Proceedings of the Natural Language Processing and Chinese Computing – 13th CCF International Conference, NLPCC 2024, Hangzhou, China, October 31 – November 2, 2024. Ed. by Derek F.Wong, ZhongyuWei, and Muyun Yang. Lecture Notes in Computer Science. Springer, 2024.
Jingkun Ma, Runzhe Zhan, Derek F. Wong, and Lidia S. Chao. Activate Integrated Controllable Generation with Soft Prompt. In: Proceedings of the Natural Language Processing and Chinese Computing – 13th CCF International Conference, NLPCC 2024, Hangzhou, China, October 31 – November 2, 2024. Ed. by Derek F. Wong, ZhongyuWei, and Muyun Yang. Lecture Notes in Computer Science. Springer, 2024.
Xingchen Huang, Yujia Huo, Derek F.Wong, Yao Wang, Liqiong Cai, and Yonghong Jiang. AQLoRA: An Adaptive Quantization-based Efficient Fine-tuning Method for LLMs. In: Proceedings of the Natural Language Processing and Chinese Computing – 13th CCF International Conference, NLPCC 2024, Hangzhou, China, October 31 – November 2, 2024. Ed. by Derek F. Wong, Zhongyu Wei, and Muyun Yang. Lecture Notes in Computer Science. Springer, 2024.
ShanshanWang, Derek F.Wong, Jingming Yao, and Lidia S. Chao. What is the BestWay for ChatGPT to Translate Poetry? In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2024, Bangkok, Thailand, August 11-16, 2024.
Runzhe Zhan, Xinyi Yang, Derek F.Wong, Lidia S. Chao, and Yue Zhang. Prefix Text as a Yarn: Eliciting Non-English Alignment in Foundation Language Model. In: Findings of the 62nd Annual Meeting of the Association for Computational Linguistics: ACL 2024, Bangkok, Thailand, August 11-16, 2024.
Jianhui Pang, Fanghua Ye, Derek F.Wong, and LongyueWang. Anchor-based large language models. In: Findings of the 62nd Annual Meeting of the Association for Computational Linguistics: ACL 2024, Bangkok, Thailand, August 11-16, 2024.
Kaixin Lan, Tao Fang, Derek F.Wong, Yabo Xu, Lidia S. Chao, and Cecilia G Zhao. FOCUS: Forging Originality through Contrastive Use in Self-Plagiarism for Language Models. In: Findings of the 62nd Annual Meeting of the Association for Computational Linguistics: ACL 2024, Bangkok, Thailand, August 11-16, 2024.
Chen Li, Meishan Zhang, Xuebo Liu, Zhaocong Li, Derek F.Wong, and Min Zhang. Towards Demonstration- Aware Large Language Models for Machine Translation. In: Findings of the 62nd Annual Meeting of the Association for Computational Linguistics: ACL 2024, Bangkok, Thailand, August 11-16, 2024.
Zhexuan Wang, Shudong Liu, Xuebo Liu, Miao Zhang, Derek F. Wong, and Min Zhang. Domain- Aware k-Nearest-Neighbor Knowledge Distillation for Machine Translation. In: Findings of the 62nd Annual Meeting of the Association for Computational Linguistics: ACL 2024, Bangkok, Thailand, August 11-16, 2024.
Longyue Wang, Zefeng Du, Wenxiang Jiao, Chenyang Lyu, Jianhui Pang, Leyang Cui, Kaiqiang Song, Derek F. Wong, Shuming Shi, and Zhaopeng Tu. Benchmarking and Improving Long-Text Translation with Large Language Models. In: Findings of the 62nd Annual Meeting of the Association for Computational Linguistics: ACL 2024, Bangkok, Thailand, August 11-16, 2024.
Pang, Jianhui, Baosong Yang, Derek F. Wong, Dayiheng Liu, Xiangpeng Wei, Jun Xie, and Lidia S. Chao. MoNMT: Modularly Leveraging Monolingual and Bilingual Knowledge for Neural Machine Translation. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pp. 11560-11573. 2024.
Xinyu Ma, Xuebo Liu, Derek F. Wong, Jun Rao, Bei Li, Liang Ding, Lidia S. Chao, Dacheng Tao, and Min Zhang. 3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pp. 1-13. 2024.
Guanhua Chen, Yutong Yao, Derek F. Wong, and Lidia S. Chao. A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 1778–1788. 2024.
Chenyang Lyu, Zefeng Du, Jitao Xu, Yitao Duan, Minghao Wu, Teresa Lynn, Alham Fikri Aji, Derek F. Wong, and Longyue Wang. A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pp. 1339-1352. 2024.
Guanhua Chen, Runzhe Zhan, Derek F. Wong, and Lidia S. Chao. Dynamic curriculum learning for conversation response selection. Knowledge-Based Systems 293 (2024): 111687.
Jianhui Pang, Baosong Yang, Derek F. Wong, Yu Wan, Dayiheng Liu, Lidia S. Chao, and Jun Xie. Rethinking the Exploitation of Monolingual Data for Low-Resource Neural Machine Translation. Computational Linguistics (CL), pp. 1–22, 2024

2023

Chi Seng Cheang, Hou Pong Chan, Derek F. Wong, Xuebo Liu, Zhaocong Li, Yanming Sun, Shudong Liu, Lidia S. Chao. Can LMs Generalize to Future Data? An Empirical Analysis on Text Summarization. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), pp. 16205-16217, 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.

2022

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.

2021

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.

2020

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.

2019

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 (TASLP), 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.

2018

Baosong Yang, Zhaopeng Tu, Derek F. Wong, Fandong Meng, Lidia S. Chao, and Tong Zhang. (2018). Modeling Localness for Self-Attention Networks. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018). Brussels, Belgium: Association for Computational Linguistics.
Lidia S. Chao, Derek F. Wong, Chi Hong Ao, and Ana Luísa Leal. (2018). UM-PCorpus: A Large Portuguese-Chinese Parallel Corpus. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). Miyazaki, Japan: European Language Resources Association (ELRA).
Chongman Leong, Derek F. Wong, and Lidia S. Chao. (2018). UM-pAligner: Neural Network-Based Parallel Sentence Identification Model. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). Miyazaki, Japan: European Language Resources Association (ELRA).
Bingquan Liu, Zhen Xu, Chengjie Sun, Baoxun Wang, Xiaolong Wang, Derek F. Wong, and Min Zhang. (2018). Content-Oriented User Modeling for Personalized Response Ranking in Chatbots. IEEE/ACM Trans. Audio, Speech & Language Processing, 26(1), 122–133.
Qiang Li, Derek F. Wong, Lidia S. Chao, Yaqian Han, Tong Xiao, and Jingbo Zhu. (2018). Template-Driven Neural Machine Translation. Chinese Journal of Computers, 41(17), 1–18.

2017

Derek F. Wong, and Deyi Xiong. (2017). Machine Translation. Communications in Computer and Information Science (Vol. 787). Springer.
Baosong Yang, Derek F. Wong, Tong Xiao, Lidia S. Chao, and Jingbo Zhu. (2017). Towards Bidirectional Hierarchical Representations for Attention-based Neural Machine Translation. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017). Copenhagen, Denmark: Association for Computational Linguistics.
Mingzhou Xu, Qiang Li, Chi Hong Ao, Ying Li, Lidia S. Chao, and Derek F. Wong. (2017). The UM-NLP²CT Neural Machine Translation System for CWMT2017 Translation Task. In Proceedings of the 13th China Workshop on Machine Translation (CWMT 2017). Dalian, China: CIPS.
Igor A. Lourenço da Silva, Fabio Alves, Marcia Schmaltz, Adriana Pagano, Derek F. Wong, Lidia S. Chao, Ana Luísa V. Leal, et al. (2017). Translation, Post-Editing and Directionality: A Study of Effort in the Chinese-Portuguese Language Pair. In Jakobsen, Arnt l., Mesa-Lao, Bartolomé (Ed.), Translation in Transition: Between cognition, computing and technology (pp. 108–134). John Benjamins.

2016

Derek F. Wong, Yi Lu, and Lidia S. Chao. (2016). Bilingual Recursive Neural Network Based Data Selection for Statistical Machine Translation. Knowledge-Based Systems, 108, 15 – 24.
Tong Xiao, Derek F. Wong, and Jingbo Zhu. (2016). A Loss-Augmented Approach to Training Syntactic Machine Translation Systems. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), 24(11), 2069–2083.
Márcia Schmaltz, Igor AL da Silva, Adriana Pagano, Fabio Alves, Ana Luísa V. Leal, Derek F. Wong, Lidia S. Chao, et al. (2016). Cohesive Relations in Text Comprehension and Production: An Exploratory Study Comparing Translation and Post-Editing. New Directions in Empirical Translation Process Research (pp. 239–263). Springer.
Junwen Xing, Derek F. Wong, Lidia S. Chao, Ana Luísa V. Leal, Márcia Schmaltz, and Chunhui Lu. (2016). Syntaxtree Aligner: A Web-based Parallel Tree Alignment Toolkit. In Proceedings of the International Conference on Wavelet Analysis and Pattern Recognition (pp. 37–42). Jeju, South Korea: IEEE.
Yu Tong, Derek F. Wong, and Lidia S. Chao. (2016). Exploiting Rich Feature Representation for SMT N-Best Reranking. In Proceedings of the International Conference on Wavelet Analysis and Pattern Recognition (pp. 101–106). Jeju, South Korea: IEEE.

2015

Xiaodong Zeng, Derek F. Wong, Lidia S. Chao, and Isabel Trancoso. (2015). Graph-Based Lexicon Regularization for PCFG With Latent Annotations. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), 23(3), 441–450.
Lidia S. Chao, Derek F. Wong, Philip C. L. Chen, Wing W. Y. Ng, and Daniel S. Yeung. (2015). Benefiting feature selection by the discovery of false irrelevant attributes. International Journal of Wavelets, Multiresolution and Information Processing (IJWMIP), 13(4), 1–17.
Aaron Li-Feng Han, Xiaodong Zeng, Derek F. Wong, and Lidia S. Chao. (2015). Chinese Named Entity Recognition with Graph-based Semi-supervised Learning Model. In Proceedings of the Eighth SIGHAN Workshop on Chinese Language Processing (pp. 15–20). Beijing, China: Association for Computational Linguistics.
Yiming Wang, Derek F. Wong, Lidia S. Chao, Ben Ao, Connie Y. Tong, and Yi Lu. (2015). The Report of NLP2CT for CWMT 2015 Evaluation Task. In Proceedings of the 11th China Workshop on Machine Translation (CWMT 2015), pp. 157–164. Hefei, Anhui, China: CIPS.
Igor A. Lourenço da Silva, Márcia Schmaltz, Fabio Alves, Adriana Pagano, Derek F. Wong, Lidia S. Chao, Ana Luísa V. Leal, et al. (2015). Translating and post-editing in the Portuguese-Chinese language pair. Translation Spaces, 4(1).

2014

Xiaodong Zeng, Derek F. Wong, Lidia S. Chao, Isabel Trancoso, et al. Lexicon Expansion for Latent Variable Grammars. Pattern Recognition Letters 42 (2014): 47–55.
Derek F. Wong, Lidia S. Chao, and Xiaodong Zeng. iSentenizer-μ: Multilingual Sentence Boundary Detection Model. The Scientific World Journal (2014): 10 pages.
Qiuping Huang, Liangye He, Huang, and Lidia S. Chao. Chinese Unknown Word Recognition for PCFG-LA Parsing. The Scientific World Journal (2014): 7 pages.
Tian, Liang, Derek F. Wong, Lidia S. Chao, and Francisco Oliveira. A Relationship: Word Alignment, Phrase Table, and Translation Quality. The Scientific World Journal (2014): 13 pages.
Aaron L. F. Han, Derek F. Wong, Lidia S. Chao, Liangye He, et al. Unsupervised Quality Estimation Model for English to German Translation and Its Application in Extensive Supervised Evaluation. The Scientific World Journal (2014): 12 pages.
Longyue Wang, Derek F. Wong, Lidia S. Chao, Yi Lu, et al. A Systematic Comparison of Data Selection Criteria for SMT Domain Adaptation. The Scientific World Journal (2014): 10 pages.
Xiaodong Zeng, Derek F. Wong, and Lidia S. Chao. Constructing Better Classifier Ensemble Based on Weighted Accuracy and Diversity Measure. The Scientific World Journal (2014): 12 pages.
Ling Zhu, Derek F. Wong, and Lidia S. Chao. Unsupervised Chunking Based on Graph Propagation from Bilingual Corpus. The Scientific World Journal (2014): 10 pages.
Derek F. Wong, Lidia S. Chao, and Xiao Dong Zeng. A Supportive Attribute-Assisted Discretization Model for Medical Classification. Bio-medical materials and engineering 23 (2014): 289–295.
Xiaodong Zeng, Lidia S. Chao, Derek F. Wong, Isabel Trancoso, and Liang Tian. (2014). Toward Better Chinese Word Segmentation for SMT via Bilingual Constraints. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014), pp. 1360–1369. Baltimore, Maryland: Association for Computational Linguistics.
Liang Tian, Derek F. Wong, Lidia S. Chao, Paulo Quaresma, Francisco Oliveira, and Yi Lu. (2014). UM-Corpus: A Large English-Chinese Parallel Corpus for Statistical Machine Translation. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14). Reykjavik, Iceland: European Language Resources Association (ELRA).
Aaron Li-Feng Han, Derek F. Wong, Lidia S. Chao, Yi Lu, Liangye He, and Liang Tian. (2014). A Universal Phrase Tagset for Multilingual Treebanks. In Proceedings of the 13th China National Conference (CCL 2014), and Second International Symposium (NLP-NABD 2014): Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data (Vol. 8801, pp. 247–258). Springer.
Yiming Wang, Longyue Wang, Derek F. Wong, Lidia S. Chao, Xiaodong Zeng, and Yi Lu. (2014). Factored Statistical Machine Translation for Grammatical Error Correction. In Proceedings of the Eighteenth Conference on Computational Natural Language Learning (CoNLL 2014) (pp. 83–90). Baltimore, Maryland: Association for Computational Linguistics.
Yi Lu, Derek F. Wong, Lidia S. Chao, and Longyue Wang. (2014). Data Selection via Semi-supervised Recursive Autoencoders for SMT Domain Adaptation. In Proceedings of the 10th China Workshop on Machine Translation: Machine Translation (CWMT 2014), pp. 13–23. Springer.
Yiming Wang, Longyue Wang, Derek F. Wong, and Lidia S. Chao. (2014). Effective Hypotheses Re-ranking Model in Statistical Machine Translation. In Proceedings of the 10th China Workshop on Machine Translation: Machine Translation (CWMT 2014), pp. 24–32. Springer.
Longyue Wang, Yi Lu, Derek F. Wong, Lidia S. Chao, Yiming Wang, and Francisco Oliveira. (2014). Combining Domain Adaptation Approaches for Medical Text Translation. In Proceedings of the Ninth Workshop on Statistical Machine Translation (WMT 2014), pp. 254–259. Baltimore, Maryland, USA: Association for Computational Linguistics.
Yi Lu, Longyue Wang, Derek F. Wong, Lidia S. Chao, and Yiming Wang. (2014). Domain Adaptation for Medical Text Translation using Web Resources. In Proceedings of the Ninth Workshop on Statistical Machine Translation (WMT 2014), pp. 233–238. Baltimore, Maryland, USA: Association for Computational Linguistics.

2013

Xiaodong Zeng, Derek F. Wong, Lidia S. Chao, and Isabel Trancoso. (2013). Graph-based Semi-Supervised Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013), pp. 770–779. Sofia, Bulgaria: Association for Computational Linguistics.
Xiaodong Zeng, Derek F. Wong, Lidia S. Chao, and Isabel Trancoso. (2013). Co-regularizing character-based and word-based models for semi-supervised Chinese word segmentation. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013), pp. 171–176. Sofia, Bulgaria: Association for Computational Linguistics.
Aaron Li-Feng Han, Derek F. Wong, Lidia S. Chao, Liangye He, Yi Lu, Junwen Xing, and Xiaodong Zeng. (2013). Language-independent Model for Machine Translation Evaluation with Reinforced Factors. In Proceedings of the 14th International Conference of Machine Translation Summit (MT Summit XIV), pp. 215–222.
Junwen Xing, Longyue Wang, Derek F. Wong, Lidia S. Chao, and Xiaodong Zeng. (2013). UM-Checker: A Hybrid System for English Grammatical Error Correction. In Proceedings of the Seventeenth Conference on Computational Natural Language Learning (CoNLL 2013), pp. 34–42. Sofia, Bulgaria: Association for Computational Linguistics.
Aaron Li-Feng Han, Derek F. Wong, Lidia S. Chao, Liangye He, Shuo Li, and Ling Zhu. (2013). Phrase Tagset Mapping for French and English Treebanks and Its Application in Machine Translation Evaluation. In Proceedings of the International Conference of the German Society for Computational Linguistics and Language Technology: Language Processing and Knowledge in the Web (Vol. 8105, pp. 119–131). Darmstadt, Germany: Springer-Verlag Berlin Heidelberg.
Aaron L. F. Han, Derek F. Wong, and Lidia S. Chao. (2013). Chinese Named Entity Recognition with Conditional Random Fields in the Light of Chinese Characteristics. In Proceedings of the 20th International Conference on Language Processing and Intelligent Information Systems: Language Processing and Intelligent Information Systems (Vol. 7912, pp. 57–68). Warsaw, Poland: Springer-Verlag Berlin Heidelberg.
Longyue Wang, Derek F. Wong, Lidia S. Chao, Yi Lu, and Junwen Xing. (2013). iCPE: A Hybrid Data Selection Model for SMT Domain Adaptation. In Proceedings of the 12th China National Conference (CCL 2013) and First International Symposium (NLP-NABD 2013): Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data (pp. 280–290). Springer.
Aaron Li-Feng Han, Derek F. Wong, Lidia S. Chao, Liangye He, Ling Zhu, and Shuo Li. (2013). A Study of Chinese Word Segmentation Based on the Characteristics of Chinese. In Proceedings of the International Conference of the German Society for Computational Linguistics and Language Technology: Language Processing and Knowledge in the Web (Vol. 8105, pp. 111–118). Darmstadt, Germany: Springer-Verlag Berlin Heidelberg.
Ana Luísa Varani Leal, Derek F. Wong, Lidia S. Chao, Marcia Schmaltz, Adriana Pagano, Fabio Alves, and Igor Antônio Lourenço da Silva. (2013). Post-editing and Translating in the Chinese-Portuguese Language Pair: Preliminary Results of an Eye-Tracking and Key-Logging Study. In Translation studies and interdisciplinary dialogue (pp. 129–130). Santa Catarina
Aaron Li-Feng Han, Yi Lu, Derek F. Wong, Lidia S. Chao, Liangye He, and Junwen Xing. (2013). Quality Estimation for Machine Translation Using the Joint Method of Evaluation Criteria and Statistical Modeling. In Proceedings of the Eighth Workshop on Statistical Machine Translation (WMT 2013), pp. 365–372. Sofia, Bulgaria: Association for Computational Linguistics.
Aaron Li-Feng Han, Derek F. Wong, Lidia S. Chao, Yi Lu, Liangye He, Yiming Wang, and Jiaji Zhou. (2013). A Description of Tunable Machine Translation Evaluation Systems in WMT13 Metrics Task. In Proceedings of the Eighth Workshop on Statistical Machine Translation (WMT 2013), pp. 414–421. Sofia, Bulgaria: Association for Computational Linguistics.
Qiuping Huang, Derek F. Wong, Lidia S. Chao, Xiaodong Zeng, and Liangye He. (2013). Augmented Parsing of Unknown Word by Graph-based Semi-supervised Learning. In Proceedings of the 27th Pacific Asia Conference on Language, Information, and Computation (PACLIC 27), pp. 474–482. Taipei, Taiwan.
Shuo Li, Derek F. Wong, and Lidia S. Chao. (2013). Experiments with POS-based restructuring and alignment-based reordering for statistical machine translation. In Proceedings of the Second Workshop on Hybrid Approaches to Translation (pp. 82–87). Sofia, Bulgaria: Association for Computational Linguistics.
Francisco Oliveira, Derek F. Wong, Lidia S. Chao, Liang Tian, and Liangye He. (2013). Influence of Part-of-Speech and Phrasal Category Universal Tag-set in Tree-to-Tree Translation Models. In Proceedings of the 6th International Joint Conference on Natural Language Processing (IJCNLP 2013), pp. 907–911. Nagoya, Japan.
Longyue Wang, Derek F. Wong, Lidia S. Chao, Junwen Xing, Yi Lu, and Isabel Trancoso. (2013). Edit Distance: A New Data Selection Criterion for Domain Adaptation in SMT. In Proceedings of the International Conference of Recent Advances in Natural Language Processing (RANLP 2013), pp. 727–732. Hissar, Bulgaria.

2012

Aaron L. F. Han, Derek F. Wong, and Lidia S. Chao. (2012). LEPOR: A Robust Evaluation Metric for Machine Translation with Augmented Factors. In Proceedings of the 24th International Conference on Computational Linguistics (COLING 2012) (pp. 441–450). Mumbai, India.
Longyue Wang, Derek F. Wong, Lidia S. Chao, and Junwen Xing. (2012). CRFs-Based Chinese Word Segmentation for Micro-Blog with Small-Scale Data. In Proceedings of the Second CIPS-SIGHAN Joint Conference on Chinese Language Processing (pp. 51–57). Tianjin, China.
Ling Zhu, Lidia S. Chao, Derek F. Wong, and Xiao-Dong Zeng. (2012). A Noun-Phrase Chunking Model Based on SBCB Ensemble Learning Algorithm. In Proceedings of the 2012 International Conference on Machine Learning and Cybernetics (ICMLC 2012), pp. 11–16. Xian, Shaanxi, China.
Shuo Li, Derek F. Wong, and Lidia S. Chao. (2012). Korean-Chinese statistical translation model. In Proceedings of the 2012 International Conference on Machine Learning and Cybernetics (ICMLC 2012), pp. 767–772. Xian, Shaanxi, China.
Long-Yue Wang, Derek F. Wong, and Lidia S. Chao. (2012). An Improvement in Cross-Language Document Retrieval Based on Statistical Models. In Proceedings of the Twenty-Fourth Conference on Computational Linguistics and Speech Processing (ROCLING 2012), pp. 144–155. Chung-Li, Taiwan.
Liangye He, Derek F. Wong, and Lidia S. Chao. (2012). Adapting Multilingual Parsing Models to Sinica Treebank. In Proceedings of the Second CIPS-SIGHAN Joint Conference on Chinese Language Processing, pp. 211–215. Tianjin, China.
Zong Hao, Derek F. Wong, and Lidia S. Chao. (2012a). A Template Based Hybrid Model for Chinese Personal Name Disambiguation. In Proceedings of the Second CIPS-SIGHAN Joint Conference on Chinese Language Processing, pp. 121–126. Tianjin, China.
Qiuping Huang, Liangye He, Derek F. Wong, and Lidia S. Chao. (2012). A Simplified Chinese Parser with Factored Model. In Proceedings of the Second CIPS-SIGHAN Joint Conference on Chinese Language Processing, pp. 188–193. Tianjin, China.
Zong Hao, Derek F. Wong, and Lidia S. Chao. (2012b). Rules Design in Word Segmentation of Chinese Micro-Blog. In Proceedings of the Second CIPS-SIGHAN Joint Conference on Chinese Language Processing, pp. 90–94. Tianjin, China.
Longyue Wang, Shuo Li, Derek F. Wong, and Lidia S. Chao. (2012). A Joint Chinese Named Entity Recognition and Disambiguation System. In Proceedings of the Second CIPS-SIGHAN Joint Conference on Chinese Language Processing, pp. 146–151. Tianjin, China.

2011

Liang Tian, Fai Wong, and Sam Chao. (2011). Word Alignment Using GIZA++ on Windows. In Proceedings of Machine Translation Summit XIII (MT Summit XIII), pp. 369–372. Xiamen, China.
Sam Chao, Fai Wong, Heng Leong Lam, and Mang I. Vai. (2011). Blind Biosignal Classification Framework Based on DTW Algorithm. In Proceedings of the International Conference on Machine Learning and Cybernetics (ICMLC 2011), Vol. 4, pp. 1684–1689. Guilin, China: IEEE.
Oliveira, Francisco, Wong Fai, and Sam Chao. (2011). Strategic Improvement of Machine Translated Texts Based on Manual Evaluation. In III SIMELP Simpósio Mundial de Estudos de Língua Portuguesa, SIMPÓSIO 46 – Propostas Integração de Metodologias para o Estudo do Processo Tradutório. Macau, China.
Fai Wong, Francisco Oliveira, and Sam Chao. (2011). Human Analysis of Machine Translated Documents between Portuguese Chinese Machine Aided Translation System and Online Translation Systems. In III SIMELP Simpósio Mundial de Estudos de Língua Portuguesa, SIMPÓSIO 46 – Propostas Integração de Metodologias para o Estudo do Processo Tradutório. Macau, China.
Xiao Dong Zeng, Sam Chao, and Fai Wong. (2011). Ensemble Learning on Portuguese POS Tagging. In III SIMELP Simpósio Mundial de Estudos de Língua Portguguesa, SIMPÓSIO 46 – Propostas Integração de Metodologias para o Estudo do Processo Tradutório. Macau, China.
Fai Wong, Francisco Oliveira, Sam Chao, and Chi Wai Tang. (2011). Handheld Machine Translation System Based on Constraint Synchronous Grammar. In Proceedings of Machine Translation Summit XIII (MT Summit XIII), pp. 439–446. Xiamen, China: AMTA.
Liang Tian, Fai Wong, and Sam Chao. (2011). Phrase Oriented Word Alignment Method. In Proceedings of the 7th China Workshop on Machine Translation (CWMT 2011), pp. 237–250. Xiamen, China.
Fai Wong, Francisco Oliveira, Sam Chao, and Fan Sun. (2011). CSG-Tag: Constraint Based Synchronous Grammar Tree Annotation System. In Proceedings of the International Conference on Machine Learning and Cybernetics (ICMLC 2011), Vol. 4, pp. 1472–1478. Guilin, China: IEEE.

2010

Fai Wong, and Sam Chao. PCT: Portuguese-Chinese Machine Translation Systems. Journal of Translation Studies 13.1-2 (2010): 181–196.
Sam Chao, and Fai Wong. (2010). Knowledge Acquisition in Supporting Diagnosis for e-Healthcare Infrastructure. In Proceedings of the Second International Conference on Software Engineering and Data Mining. Chengdu, China: IEEE Computer Society.
Sam Chao, Fai Wong, and Custódio Cavaco Martins. (2010). Data Mining Model in Analyzing Portuguese Studies as the Second Language Acquisition. In Proceedings of the International Conference on Machine Learning and Cybernetics (ICMLC2010), Vol. 1, pp. 427–432. Qingdao, China: IEEE Computer Society.
Francisco Oliveira, Fai Wong, and Hong Iok Sai. (2010a). Systematic Processing of Long Sentences in Rule-based Portuguese-Chinese Machine Translation. In Proceedings of the 11th International Conference on Intelligent Text Processing and Computational Linguistics: Computational Linguistics and Intelligent Text Processing, Vol. 6008, pp. 417–426. Iasi, Romania: Springer Berlin / Heidelberg.
Fai Wong, and Sam Chao. (2010). iSentenizer: An incremental sentence boundary classifier. In Proceedings of the International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE 2010), pp. 1–7.
Francisco Oliveira, Fai Wong, Sam Chao, and Chi Wai Tang. (2010). Portuguese Chinese Machine Aided Translation System. In Proceedings of the International Translators’ Federation (FIT) 6th Asian Translator’s Forum. Macau SAR.
Fai Wong, Sam Chao, Wai Kit Chan, and Yi Ping Li. (2010). Recognition of Chinese Character in Snapshot Translation System. In Proceedings of the International Conference on Audio Language and Image Processing (ICALIP), pp. 821–825. Shanghai, China: IEEE.
Xiao Dong Zeng, Sam Chao, and Fai Wong. (2010). Optimization of Bagging Classifiers Based on SBCB Algorithm. In Proceedings of the International Conference on Machine Learning and Cybernetics (ICMLC2010), Vol. 1, pp. 262–267. Qingdao, China: IEEE Computer Society.
Francisco Oliveira, Fai Wong, and Hong Iok Sai. (2010b). Parsing Extended Constraint Synchronous Grammar in Chinese-Portuguese Machine Translation. In Proceedings of the International Conference on Computational Processing of Portuguese Language (PROPOR 2010). Porto Alegre, Brazil.
Liang Tian, Fai Wong, and Sam Chao. (2010). An Improvement of Translation Quality with Adding Key-Words in Parallel Corpus. In Proceedings of the International Conference on Machine Learning and Cybernetics (ICMLC), pp. 1273–1278. Qingdao, China: IEEE Computer Society.

~2009

Fai Wong, Sam Chao, Cheong Cheong Hao, and Ka Seng Leong. (2009). A Maximum Entropy (ME) Based Translation Model for Chinese Characters Conversion. Advances in Computational Linguistics, Research in Computer Science, 41, 267–276.
Sam Chao, and Fai Wong. (2009). Unearth the Hidden Supportive Information for an Intelligent Medical Diagnostic System. In Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems: Lecture Notes in Computer Science, pp. 401–408. Springer.
Sam Chao, and Fai Wong. (2009). An Incremental Decision Tree Learning Methodology regarding Attributes in Medical Data Mining. In Proceedings of the Eighth International Conference on Machine Learning and Cybernetics (ICMLC 2009), Vol. 3, pp. 1694–1699. Baoding, China: IEEE.
Sam Chao, and Fai Wong. (2009). A Multi-agent Learning Paradigm for Medical Data Mining Diagnostic Workbench. In Data Mining and Multiagent Integration (pp. 177–186). Springer US.
Chao, Sam, Fai Wong, Qiu Lin Ding, Yi Ping Li, and Ming Chui Dong. (2008). Discovery of the Latent Supportive Relevance in Medical Data Mining. In Data Mining in Medical and Biological Research. Vienna, Austria: I-Tech Education and Publishing.
Ka Seng Leong, Fai Wong, Yiping Li, and Ming Chui Dong. (2008). Chinese Tagging Based on Maximum Entropy Model. In Proceedings of the Sixth SIGHAN Workshop on Chinese Language Processing.
Francisco Oliveira, Fai Wong, Ka Seng Leong, Chio Kin Tong, and Ming Chui Dong. (2007). Query Translation for Cross-Language Information Retrieval by Parsing Constraint Synchronous Grammar. In Proceedings of the International Conference on Machine Learning and Cybernetics, (ICMLC), Vol. 7, pp. 4003–4008. Hong Kong: IEEE.
Fai Wong, Ming Chui Dong, and Dong Cheng Hu. (2006). Machine Translation Based on Translation Corresponding Tree Structure. Tsinghua Science and Technology, 11(1), 25–31.
Fai Wong, Ming Chui Dong, and Dong Cheng Hu. (2006). Machine Translation Using Constraint-Based Synchronous Grammar. Tsinghua Science and Technology, 11(3), 295–306.
Francisco Oliveira, Fai Wong, and Yi Ping Li. (2005). An Unsupervised & Statistical Word Sense Tagging Using Bilingual Sources. In Proceedings of the Fourth International Conference on Machine Learning and Cybernetics (ICMLC), Vol. 6, pp. 3749–3754. Guangzhou, China: IEEE.
Francisco Oliveira, Fai Wong, and Yi Ping Li. (2005). Unsupervised Word Sense Disambiguation and Rules Extraction Using Non-Aligned Bilingual Corpus. In Proceedings of the IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE 2005), pp. 30–35. Wuhan, China: IEEE.
Fai Wong, Dong Cheng Hu, Yu Hang Mao, Ming Chui Dong, and Yi Ping Li. (2005). Machine Translation Based on Constraint-Based Synchronous Grammar. In Proceedings of the 2nd International Joint Conference on Natural Language Processing: Natural Language Processing (IJCNLP 2005), Vol. 3651, pp. 612–623. Jeju Island, Republic of Korea: Springer Berlin / Heidelberg.
Fai Wong, Dong Cheng Hu, Yu Hang Mao, Chi Wai Tang, and Ming Chui Dong. (2004). Application of Translation Corresponding Tree (TCT) Annotation Schema in Example-Based Machine Translation. In Proceedings of the Language Resources and Evaluation Workshop (LREC2004), pp. 42–45. Lisbon, Portugal.
Fai Wong, Chi Wai Tang, Ming Chui Dong, Yu Hang Mao, and Yi Ping Li. (2004). Example-Based Machine Translation Based on Translation Corresponding Tree Representation. In Proceedings of the First International Joint Conference on Natural Language Processing: International Workshop on Machine Translation and Multilingual Information Retrieval (MTMIR 2004), pp. 31–38. Hainan Island, China.
Fai Wong, Sam Chao, Ming Chui Dong, and Yu Hang Mao. (2004). Interpolated Probabilistic Tagging Model Optimized with Genetic Algorithm. In Proceedings of Third International Conference on Machine Learning and Cybernetics (ICMLC 2004), Vol. 4, pp. 2569–2574. Shanghai, China: IEEE.
Fai Wong, Dong Cheng Hu, Yu Hang Mao, and Ming Chui Dong. (2004). A Flexible Example Annotation Schema: Translation Corresponding Tree Representation. In Proceedings of the 20th International Conference on Computational Linguistics (COLING 2004), pp. 1079–1085. Geneva, Switzerland: Association for Computational Linguistics.
Fai Wong, and Yu Hang Mao. (2003). Framework of Electronic Dictionary System for Chinese and Romance Languages. Automatique des Langues (TAL), 44(2), 225–245.