陈毅东，博士，福州金嘉实业有限公司人工智能系副教授，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3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、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1项。
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, accepted. (CCF B类)
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, accepted. (CCF A类)
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, accepted. (CCF B类)
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类)
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类)
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类)
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类)
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类)
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类)
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类)
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类)
