Yun Chen

I am an assistant professor in SUFE, working on natural language processing, especially machine translation. I received the Ph.D. degree from The University of Hong Kong in 2018, under the supervision of Prof. Victor O.K. Li, and received the bachelor degree from Tsinghua University in 2013. I was a visiting scholar with the Tsinghua Natural Language Processing Group and NYU CILVR Group. Before joining SUFE, I worked as a phonetic & semantics researcher at Huawei Noah’s Ark Lab in Hong Kong during 2018-2019. Currently, I am the reviewer for ACL, EMNLP, AAAI, COLING, AACL, ACM TALLIP, JCST.

I have broad research interests in machine learning and natural language processing. Currently, I am mainly working on machine translation and pretrained language model.

Selected Publications

Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine Translation
Guanhua Chen, Shuming Ma, Yun Chen*, Li Dong, Dongdong Zhang, Jia Pan, Wenping Wang, Furu Wei. In Proceedings of ACL 2022. (CCF A)

Multitasking Framework for Unsupervised Simple Definition Generation
Cunliang Kong, Yun Chen, Hengyuan Zhang, Liner Yang, Erhong Yang. In Proceedings of ACL 2022. (CCF A)

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)

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)

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)

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)

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)

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)

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)

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.

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)

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)