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陈云

助理教授

上海财经大学信息管理与工程学院

邮箱:yunchen[at]sufe[dot]edu[dot]cn

[Google Scholar]

我在上海财经大学信息管理学院担任助理教授,研究方向为机器学习和自然语言处理。我2018年在香港大学获得博士学位,2013年在清华大学电子系获得学士学位。读博期间,我曾在清华大学刘洋教授课题组和纽约大学CILVR课题组进行访问。博士毕业后我曾在香港华为诺亚方舟实验室担任语音语义研究员。目前我担任了ACL, EMNLP, AAAI, COLING, AACL, ACM TALLIP, JCST等期刊会议的审稿人。

我的研究兴趣为机器学习及自然语言处理,目前主要研究神经机器翻译和预训练语言模型。

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

新闻

2021-08, 我们有一篇论文被 EMNLP 2021接收, Zero-shot Cross-lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders 

2020-12, 我们有一篇论文被 AAAI 2021接收, Lexically Constrained Neural Machine Translation with Explicit Alignment Guidance 

2020-09, 我们有一篇论文被EMNLP 2020接收, Accurate Word Alignment Induction from Neural Machine Translation

2020-09, 我们有一篇论文被AACL 2020接收, A General Framework for Adaptation of Neural Machine Translation to Simultaneous Translation

2020-07, 我们有一篇论文被IEEE/ACM Trans. on Audio, Speech, and Language Processing期刊接收, Reinforced Zero-shot Cross-lingual Neural Headline Generation

2020-04, 我们有一篇论文被IJCAI 2020接收,Lexical-Constraint-Aware Neural Machine Translation via Data Augmentation

2020-04, 我们有一篇论文被 ACL 2020接收, Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT

2020-03, 我们有一篇论文被IEEE/ACM Trans. on Audio, Speech, and Language Processing期刊接收, Incorporating Sememes into Chinese Definition Modeling

部分发表的论文

Zero-shot Cross-lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders 

Guanhua Chen, Shuming Ma, Yun Chen*, Li Dong, Dongdong Zhang, Jia Pan, Wenping Wang, Furu Wei. In Proceedings of EMNLP 2021. (CCF B)

 

Lexically Constrained Neural Machine Translation with Explicit Alignment Guidance 

Guanhua Chen, Yun Chen*, Victor O.K. Li. In Proceedings of AAAI 2021. (CCF A)

 

Accurate Word Alignment Induction from Neural Machine Translation

Yun Chen, Yang Liu, Guanhua Chen, Xin Jiang, Qun Liu. In Proceedings of EMNLP 2020. (CCF B)

[PDF]

 

Lexical-Constraint-Aware Neural Machine Translation via Data Augmentation.

Guanhua Chen, Yun Chen*, Yong Wang, Victor O.K. Li. In Proceedings of IJCAI 2020. (CCF A)

[PDF]

 

Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT,

Zhiyong Wu, Yun Chen, Ben Kao, Qun Liu. In Proceedings of ACL 2020. (CCF A)

[PDF]

 

Reinforced Zero-shot Cross-lingual Neural Headline Generation

Yana A, Yun Chen, Cheng Yang, Zhiyuan Liu, Maosong Sun. In IEEE Trans. on Audio, Speech and Language Processing (IEEE TASLP) 2020. (CCF B)

 

Incorporating Sememes into Chinese Definition Modeling.

Liner Yang, Cunliang Kong, Yun Chen, Yang Liu, Qinan Fan, Erhong Yang. In IEEE Trans. on Audio, Speech and Language Processing (IEEE TASLP) 2020. (CCF B)

[LINK]

 

A Stable and Effective Learning Strategy for Trainable Greedy Decoding.

Yun Chen, Victor O.K. Li, Kyunghyun Cho, and Samuel R. Bowman. In Proceedings of EMNLP 2018. (CCF B)

[PDF]

 

Meta-Learning for Low-Resource Neural Machine Translation.

Jiatao Gu, Yong Wang, Yun Chen, Victor O.K. Li, and Kyunghyun Cho. In Proceedings of EMNLP 2018. (CCF B)

[PDF]

 

Zero-Resource Neural Machine Translation with Multi-Agent Communication Game.

Yun Chen, Yang Liu, and Victor O.K. Li. In Proceedings of AAAI 2018. (CCF A)

[PDF]

 

Stable and Effective Trainable Greedy Decoding for Sequence to Sequence Learning.

Yun Chen, Kyunghyun Cho, Samuel R. Bowman, and Victor O.K. Li. ICLR workshop, 2018.

[PDF]

 

Zero-shot cross-lingual neural headline generation.

Ayana, Shen Shiqi, Yun Chen, Cheng Yang, Zhiyuan Liu, and Maosong Sun. In IEEE Trans. on Audio, Speech and Language Processing (IEEE TASLP) 2018. (CCF B) 

[LINK]

 

A Teacher-Student Framework for Zero-Resource Neural Machine Translation.

Yun Chen, Yang Liu, Yong Cheng and Victor O.K. Li. In Proceedings of ACL 2017. (CCF A)

[PDF]

 

最近更新于 2021-09

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