About me

Self-image

CHEN Yun (陈云)

Assistant professor

School of Information Management & Engineering

Shanghai University of Finance and Economics

yunchen[at]sufe[dot]edu[dot]cn

[Google Scholar]

Biography

I am an assistant professor in SUFE, working on natural language processing. 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. I served as an AC for EMNLP 2022, CCL 2023 and an reviewer for ACL, EMNLP, AAAI, COLING, AACL, AIJ, FCS, TALLIP, JCST.

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

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?

2024-03. We release the Technology and Security White Paper on the Application of Large Language model in Finance with Ant Group and BCTC [PDF]

2023-08, we have one paper awarded as the best English paper by CCL 2023, Lexical Complexity Controlled Sentence Generation for Language Learning 

2023-05, we have one long paper accepted by ACL 2023 main conference, mCLIP: Multilingual CLIP via Cross-lingual Transfer 

2023-04, I will serve as an Area Chair for CCL 2023 

Selected Publications

Preprint

Tastle: Distract Large Language Models for Automatic Jailbreak Attack

Zeguan Xiao, Yan Yang, Guanhua Chen, Yun Chen*. [PDF]

 

LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks

Hanqing Wang, Bowen Ping, Shuo Wang, Xu Han, Yun Chen*, Ziyuan Liu, Maosong Sun. [PDF]

 

OMGEval: An Open Multilingual Generative Evaluation Benchmark for Large Language Models

Yang Liu, Meng Xu, Shuo Wang, Liner Yang, Haoyu Wang, Zhenghao Liu, Cunliang Kong, Yun Chen, Maosong Sun, Erhong Yang. [PDF]

 

Published

StyleBART: Decorate Pretrained Model with Style Adapters for Unsupervised Stylistic Headline Generation

Hanqing Wang, Yajing Luo, Boya Xiong, Guanhua Chen, Yun Chen*. In Findings of EMNLP 2023. (CCF B)

[PDF]

 

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. In Proceedings of ACL 2023. (CCF A)

[PDF]

 

Lexical Complexity Controlled Sentence Generation for Language Learning

Jinran Nie, Liner Yang, Yun Chen, Cunliang Kong, Junhui Zhu, Erhong Yang. In Proceedings of CCL 2023. (Best English paper)

[PDF]

 

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)

[PDF]

 

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)

[PDF]

 

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)

[PDF]

 

Multitasking Framework for Unsupervised Simple Definition Generation

Cunliang Kong, Yun Chen, Hengyuan Zhang, Liner Yang, Erhong Yang. In Proceedings of ACL 2022. (CCF A)

[PDF]

 

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)

[PDF]

 

Lexically Constrained Neural Machine Translation with Explicit Alignment Guidance 

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

[PDF]

 

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)

[LINK]

 

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 March-2023

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