陈毅东 (English Version)

博士，副教授，博士生导师
福建省人工智能学会常务理事、常务副秘书长

电子邮件：ydchen@xmu.edu.cn
办公地点：厦门大学翔安校区西部片区5#102-5

厦门大学 >> 信息学院 >> 人工智能系 >> 自然语言处理实验室

个人简介

陈毅东，博士，厦门大学信息学院人工智能系副教授，主要的研究方向是人工智能，自然语言处理，特别是机器翻译、手语翻译、智能问答、情感分析。 先后主持国家自然科学基金项目4项，国家863计划重点课题子课题1项，教育部-中国移动科研基金项目1项以及其他省部级和企业委托横向课题二十余项。 2005年获福建省科学技术三等奖1项（排名第四）；2012年获福建省自然科学优秀学术论文二等奖1项；2016年获钱伟长中文信息处理科学技术奖一等奖1项（排名第二）；2018年获西藏自治区科技进步一等奖1项（排名第四）。 先后在《IEEE Trans. on Neural Networks and Learning Systems》等期刊和AAAI、IJCAI、EMNLP、COLING等国际学术会议发表科研论文40余篇，授权国家发明专利3项。

学术兼职

• 中国中文信息学会语言与知识计算专委会委员、机器翻译专委会委员、情感计算专委会委员、自然语言生成与智能写作专委会委员、计算语言学专委会委员、青年工委会委员
• 中国人工智能学会智能传媒专委会委员、自然语言理解专委会委员、教育工委会委员
• 中国计算机学会高级会员
• 全国高等院校计算机基础教育研究会数据科学专委会委员
• 福建省人工智能学会常务理事、常务副秘书长
• 第十届全国机器翻译研讨会（CWMT 2014）出版主席、第十四届全国机器翻译研讨会（CWMT 2018）组织委员会副主席、第十五届全国机器翻译大会（CCMT 2019）共同出版主席、第十九届全国机器翻译大会（CCMT 2023）共同赞助主席、第二十届全国机器翻译大会（CCMT 2024）共同程序主席
• 第二十二届中国计算语言学大会（CCL 2023）语言资源与评测领域共同主席

部分项目

• 中国手语鲁棒神经翻译方法研究 (项目批准号：62476232)，国家自然科学基金面上项目，2025.01-2028.12，主持
• 面向“一带一路”的多模态机器翻译技术研究与产业化 (项目编号：2023H6001)，福建省高校产学合作项目，2023.01-2025.12，主持
• 融合手语语言学知识的中国手语神经翻译方法研究 (项目批准号：62076211)，国家自然科学基金面上项目，2021.01-2024.12，主持
• 人工智能自然语言基础能力研究 (项目编号：MCM20180402)，教育部-中国移动科研基金项目，2019.09-2020.09，主持
• 引入功能语篇分析的汉英语篇统计机器翻译方法研究 (项目批准号：61573294)，国家自然科学基金面上项目，2016.01-2019.12，主持
• 基于篇章语义信息提取的汉英旅游统计机器翻译研究 (项目编号：2011J01369)，福建省自然科学基金面上项目，2011.04-2014.04，主持
• 引入多源知识空间及协同语义分析的统计机器翻译方法研究 (项目批准号：61005052)，国家自然科学基金青年项目，2011.01-2013.12，主持
• 跨语言检索 (项目编号：2006AA010107-2)，国家863计划重点课题子课题，2007.12-2010.11，主持

部分论著

• Pei Yu#, Changhao Lai#, Cong Hu, Shan Liu, Liang Zhang, Biao Fu, Yidong Chen*. Improving Non-autoregressive Sign Language Translation with Random Ordering Progressive Prediction Pre-training. In Proc. of ECAI 2024, accepted. (CCF B)
• Suhail Muhammad Kamal, Yidong Chen*, Shaozi Li. Adversarial autoencoder for continuous sign language recognition. Concurrency and Computation: Practice and Experience, 2024, accepted. (CCF C)
• Honghao Fu#, Liang Zhang#, Biao Fu, Jinsong Su, Xiaodong Shi, Yidong Chen*. Signer Diversity-driven Data Augmentation for Signer-Independent Sign Language Translation. In Findings of NAACL 2024, pp. 2182-2193.
• Tong Sun#, Biao Fu#, Cong Hu, Liang Zhang, Ruiquan Zhang, Xiaodong Shi, Jinsong Su, Yidong Chen*. Adaptive Simultaneous Sign Language Translation with Confident Translation Length Estimation. In Proc. of LREC-COLING 2024, pp. 372-384. (CCF B)
• Cong Hu, Biao Fu, Pei Yu, Liang Zhang, Xiaodong Shi, Yidong Chen*. An Explicit Multi-modal Fusion Method for Sign Language Translation. In Proc. of ICASSP 2024, pp. 3860-3864. (CCF B)
• Rui Zhao#, Liang Zhang#, Biao Fu, Cong Hu, Jinsong Su, Yidong Chen*. Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment. In Proc. of AAAI 2024, pp. 19643-19651. (CCF A)
• Biao Fu#, Kai Fan#, Minpeng Liao#, Zhongqiang Huang*, Boxing Chen, Yidong Chen*, Xiaodong Shi. Adapting Offline Speech Translation Models for Streaming with Future-Aware Distillation and Inference. In Proc. of EMNLP 2023, pp. 16600-16619. (CCF B)
• Liang Zhang#, Chulun Zhou#, Fandong Meng, Jinsong Su*, Yidong Chen*, Jie Zhou. HyperNetwork-based Decoupling to Improve Model Generalization for Few-Shot Relation Extraction. In Proc. of EMNLP 2023, pp. 6213-6223. (CCF B)
• Zhongjian Miao, Wen Zhang, Jinsong Su*, Xiang Li, Jian Luan, Yidong Chen*, Bin Wang, Min Zhang. Exploring All-In-One Knowledge Distillation Framework for Neural Machine Translation. In Proc. of EMNLP 2023, pp. 2929-2940. (CCF B)
• Liang Zhang#, Zijun Min#, Pei Yu, Ante Wang, Jinsong Su*, Yidong Chen*. Exploring Effective Inter-encoder Semantic Interaction for Document-Level Relation Extraction. In Proc. of IJCAI 2023, pp. 5278-5286. (CCF A)
• Pei Yu#, Liang Zhang#, Biao Fu, Yidong Chen*. Efficient Sign Language Translation with a Curriculum-based Non-autoregressive Decoder. In Proc. of IJCAI 2023, pp. 5260-5268. (CCF A)
• Biao Fu#, Peigen Ye#, Liang Zhang, Pei Yu, Cong Hu, Xiaodong Shi, Yidong Chen*. A Token-level Contrastive Framework for Sign Language Translation. In Proc. of ICASSP 2023. (CCF B)
• Liang Zhang, Jinsong Su*, Zijun Min, Zhongjian Miao, Qingguo Hu, Biao Fu, Xiaodong Shi, Yidong Chen*. Exploring Self-distillation based Relational Reasoning Training for Document-level Relation Extraction. In Proc. of AAAI 2023, pp. 13967-13975. (CCF A)
• Zeyang Zhang, Yidong Chen*, Changle Zhou. Self-Growing Binary Activation Network: A Novel Deep Learning Model With Dynamic Architecture. IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(1): 624-633. (CCF B)
• Liang Zhang#, Jinsong Su#, Yidong Chen*, Zhongjian Miao, Zijun Min, Qingguo Hu, Xiaodong Shi. Towards Better Document-level Relation Extraction via Iterative Inference. In Proc. of EMNLP 2022, pp. 8306-8317. (CCF B)
• Zhongjian Miao#, Xiang Li#, Liyan Kang, Wen Zhang, Chulun Zhou, Yidong Chen*, BinWang, Min Zhang, Jinsong Su*. Towards Robust Neural Machine Translation with Iterative Scheduled Data-Switch Training. In Proc. of COLING 2022, pp. 5266-5277. (CCF B)
• Jiangbin Zheng, Yidong Chen*, Chong Wu, Xiaodong Shi, Suhail Muhammad Kamal. Enhancing Neural Sign Language Translation by highlighting the facial Expression information. Neurocomputing, 2021, 464: 462-472. (CCF C)
• Biao Fu#, Yiqi Tong#, Dawei Tian, Yidong Chen*, Xiaodong Shi, Ming Zhu. CTRD: A Chinese Theme-Rheme Discourse Dataset. In Proc. of NLPCC 2021, pp. 65-76. (CCF C)
• Yidong Chen*, Enjun Zhong, Yiqi Tong, Yanru Qiu, Xiaodong Shi. A Document-Level Machine Translation Quality Estimation Model Based on Centering Theory. In Proc. of CCMT 2021, pp. 1-15.
• Yiqi Tong, Yidong Chen*, Guocheng Zhang, Jiangbin Zheng, Hongkang Zhu, Xiaodong Shi. Generating Diverse Back-Translations via Constraint Random Decoding. In Proc. of CCMT 2021, pp. 92-104.
• Yiqi Tong, Yidong Chen*, Xiaodong Shi. A Multi-Task Approach for Improving Biomedical Named Entity Recognition by Incorporating Multi-Granularity Information. In Findings of ACL-IJCNLP 2021, pp. 4804-4813.
• Yiqi Tong, Jiangbin Zheng, Hongkang Zhu, Yidong Chen*, Xiaodong Shi. A Document-Level Neural Machine Translation Model with Dynamic Caching Guided by Theme-Rheme Information. In Proc. of COLING 2020, pp. 4385-4395. (CCF B)
• Jiangbin Zheng, Zheng Zhao, Min Chen, Jing Chen, Chong Wu, Yidong Chen*, Xiaodong Shi, Yiqi Tong. An Improved Sign Language Translation Model with Explainable Adaptations for Processing Long Sign Sentences. Computational Intelligence and Neuroscience, 2020: 1-11.
• Yu Wan, Yidong Chen*, Xiaodong Shi, Changle Zhou. Constructing and Validating Word Similarity Datasets by Integrating Methods from Psychology, Brain Science and Computational Linguistics. Soft Computing, 2018, 22(21): 6967-6979. (CCF C)
• Jinsong Su, Zhenqiao Song, Yaojie Lu, Mu Xu, Changxing Wu, Yidong Chen*. Exploring Implicit Semantic Constraints for Bilingual Word Embeddings. Neural Processing Letters, 2017, 48(2): 1073-1088. (CCF C)
• Yidong Chen, Yu Wan, Xiaodong Shi, Suxia Xu*. Deriving Probabilistic Semantic Frames from HowNet. In Proc. of CLSW 2017, pp. 303-314.
• Yidong Chen*, Zhehuang Huang, Xiaodong Shi. An SNN-Based Semantic Role Labeling Model with Its Network Parameters Optimized Using an Improved PSO Algorithm. Neural Processing Letters, 2016, 44(1): 245-263. (CCF C)

部分课程

• C语言程序设计（本科生课程）, 2007-2018
• Linux内核分析（本科生课程）, 2010-
• 网络信息处理（本科生课程）, 2018-
• 机器翻译原理与实践（研究生课程）, 2011-2013
• 自然语言处理及机器翻译（研究生课程）, 2014-
• 计算语言学（研究生课程, 人工智能研究院）, 2022-

部分演示/资源

• 厦门大学手语翻译平台
• 中英篇章级翻译质量评估数据集
• 中文语篇主-述标注语料库
• 中文词语相似度标准集