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CHEN Yun (陈云) Assistant professor School of Information Management & Engineering Shanghai University of Finance and Economics yunchen[at]sufe[dot]edu[dot]cn |
Biography
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.
Positions avaliable: Master/PhD program students.
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
What’s New?
2023-05, we have one long paper accepted by ACL 2023 main conference, mCLIP: Multilingual CLIP via Cross-lingual Transfer
2022-10, we have two papers accepted by EMNLP 2022 conference, XLM-D: Decorate Cross-lingual Pre-training Model as Non-Autoregressive Neural Machine Translation (long, main conference), Multilingual Sentence Transformer as A Multilingual Word Aligner (short, findings)
2022-02, we have two long papers accepted by ACL 2022 main conference, Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine Translation, Multitasking Framework for Unsupervised Simple Definition Generation
2021-08, we have one paper accepted by EMNLP 2021, Zero-shot Cross-lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders
2020-12, we have one paper accepted by AAAI 2021, Lexically Constrained Neural Machine Translation with Explicit Alignment Guidance
2020-09, we have one paper accepted by EMNLP 2020, Accurate Word Alignment Induction from Neural Machine Translation
2020-09, we have one paper accepted by AACL 2020, A General Framework for Adaptation of Neural Machine Translation to Simultaneous Translation
2020-07, we have one paper accepted by IEEE/ACM Trans. on Audio, Speech, and Language Processing, Reinforced Zero-shot Cross-lingual Neural Headline Generation
2020-04, we have one paper accepted by IJCAI 2020, Lexical-Constraint-Aware Neural Machine Translation via Data Augmentation
2020-04, we have one paper accepted by ACL 2020, Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT
2020-03, we have one paper accepted by IEEE/ACM Trans. on Audio, Speech, and Language Processing, Incorporating Sememes into Chinese Definition Modeling
Selected Publications
mCLIP: Multilingual CLIP via Cross-lingual Transfer
Guanhua Chen, Lu Hou, Yun Chen, Wenliang Dai, Lifeng Shang, Xin Jiang, Qun Liu, Jia Pan, Wenping Wang. To Appear in In Proceedings of ACL 2023. (CCF A)
XLM-D: Decorate Cross-lingual Pre-training Model as Non-Autoregressive Neural Machine Translation
Yong Wang, Shilin He, Guanhua Chen, Yun Chen, Daxin Jiang. In Proceedings of EMNLP 2022. (CCF B)
Multilingual Sentence Transformer as A Multilingual Word Aligner
Weikang Wang, Guanhua Chen, Hanqing Wang, Yue Han, Yun Chen*. In Findings of EMNLP 2022. (short, CCF B)
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)
[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]
Last updated at Oct-2022
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