上海财经大学信息管理与工程学院助理教授、博导。2018年于香港大学获得博士学位，2013年于清华大学获得学士学位。曾先后在清华大学自然语言处理与社会人文计算课题组和纽约大学CILVR课题组进行学术访问。研究方向为机器学习和自然语言处理，特别是机器翻译，预训练语言模型，问答系统和智能教育等。在ACL, EMNLP, AAAI, IJCAI, ICLR等顶级期刊会议上发表多篇学术论文。目前担任中国中文信息学会青年工作委员会委员，会议ACL, EMNLP, NAACL, AAAI, AACL, COLING和期刊ACM TALLIP, JCST等的审稿人。

更多信息详见个人主页：https://yunc.me .

招收博士生、硕士生，欢迎有志于自然语言处理研究的学生加入本课题组！请附简历邮件联系

•    机器学习 （本科生课程，主讲）

•    融入预训练语言模型的神经机器翻译关键技术研究，上海市青年科技英才扬帆计划，2021-2024，主持

•    面向资源匮乏型领域的神经机器翻译关键技术研究，国家自然科学基金青年基金项目，2022-2024，主持

•    香港大学，电机电子工程系，博士，2018年
•    清华大学，微纳电子系，学士，2013年

访问经历
•    纽约大学，CILVR实验室，访问学者，2017.10-2018.4 (Host: Kyunghyun Cho 和 Sam Bowman教授)
•    清华大学，自然语言处理与社会人文计算实验室，访问学者，2016.10-2017.5 (Host: 刘洋教授)
•    新加坡国立大学，电子系，交换生，2011.8-2011.12

1. Guanhua Chen, Shuming Ma, Yun Chen*, Li Dong, Dongdong Zhang, Jia Pan, Wenping Wang, Furu Wei. Zero-shot Cross-lingual Transfer of Neural Machine Translation  with Multilingual Pretrained Encoders. In Proceedings of EMNLP 2021. (CCF B) 
2. Guanhua Chen, Yun Chen*, Victor O.K. Li. Lexically Constrained Neural Machine Translation with Explicit Alignment Guidance. In Proceedings of AAAI 2021. (CCF A) [LINK]
3. Yun Chen, Yang Liu, Guanhua Chen, Xin Jiang, Qun Liu. Accurate Word Alignment Induction from Neural Machine Translation. In Proceedings of EMNLP 2020. (CCF B) [PDF]
4. Guanhua Chen, Yun Chen*, Yong Wang, Victor O.K. Li. Lexical-Constraint-Aware Neural Machine Translation via Data Augmentation. In Proceedings of IJCAI 2020. (CCF A) [PDF]
5. Zhiyong Wu, Yun Chen, Ben Kao, Qun Liu, Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT. In Proceedings of ACL 2020. (CCF A) [PDF]
6. Yana A, Yun Chen, Cheng Yang, Zhiyuan Liu, Maosong Sun. Reinforced Zero-shot Cross-lingual Neural Headline Generation. In IEEE Transactions on Audio, Speech and Language Processing (IEEE TASLP) 2020. (CCF B) [LINK]
7. Liner Yang, Cunliang Kong, Yun Chen, Yang Liu, Qinan Fan, Erhong Yang. Incorporating Sememes into Chinese Definition Modeling. In IEEE Transactions on Audio, Speech and Language Processing (IEEE TASLP) 2020. (CCF B) [LINK]
8. Yun Chen, Victor O.K. Li, Kyunghyun Cho, and Samuel R. Bowman. A Stable and Effective Learning Strategy for Trainable Greedy Decoding. In Proceedings of EMNLP 2018. (CCF B) [PDF]
9. Jiatao Gu, Yong Wang, Yun Chen, Victor O.K. Li, and Kyunghyun Cho. Meta-Learning for Low-Resource Neural Machine Translation. In Proceedings of EMNLP 2018. (CCF B) [PDF]
10. Yun Chen, Yang Liu, and Victor O.K. Li. Zero-Resource Neural Machine Translation with Multi-Agent Communication Game. In Proceedings of AAAI 2018. (CCF A) [PDF]
11. Yun Chen, Kyunghyun Cho, Samuel R. Bowman, and Victor O.K. Li. Stable and Effective Trainable Greedy Decoding for Sequence to Sequence Learning. Sixth International Conference on Learning Representations (ICLR) workshop, 2018. [PDF]
12. Ayana, Shen Shiqi, Yun Chen, Cheng Yang, Zhiyuan Liu, and Maosong Sun. Zero-shot cross-lingual neural headline generation. In IEEE Transactions on Audio, Speech and Language Processing (IEEE TASLP) 2018. (CCF B) [LINK]
13. Yun Chen, Yang Liu, Yong Cheng and Victor O.K. Li. A Teacher-Student Framework for Zero-Resource Neural Machine Translation. In Proceedings of ACL 2017. (CCF A) [PDF]

注：*为通讯作者，CCF A/B 参考中国计算机学会(CCF)推荐国际学术会议和期刊目录

•    香港政府博士奖学金(Hong Kong PhD Fellowship Award), 2014-2018
•    北京市优秀毕业生, 2013.07
•    清华大学优良毕业生, 2013.07