教师介绍

陈云

姓名: 陈云
最后学位: 博士
职称: 副教授
公共职务:
导师岗位: 博导
办公室: 501
电话:
Email: yunchen@sufe.edu.cn





个人简介

上海财经大学信息管理与工程学院副教授、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大语言模型，包括大模型指令微调、大模型安全、基于大模型的多智能体、多模态大模型等。在ACL, EMNLP, SigKDD, AAAI, IJCAI等CCF A/B类期刊会议上发表二十余篇学术论文。目前担任中国中文信息学会青年工作委员会委员，曾担任会议EMNLP 2022, CCL2023的领域主席以及会议ACL、EMNLP、SIGKDD、NAACL、AAAI、COLIN和期刊AIJ、ACM TALLIP、JCST、FCS、自动化学报等的审稿人。

更多信息详见个人主页：https://yunc.me .

长期招收博士生、硕士生及访问学生，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。


教授课程

机器学习（本科生课程，主讲）


科研项目

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


教育背景

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


发表论文
  1. Yixia Li, Boya Xiong, Guanhua Chen, Yun Chen*. SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation. In Proceedings of NeurIPS 2024. (CCF A)
  2. Bowen Ping, Shuo Wang, Hanqing Wang, Xu Han, Yuzhuang Xu, Yukun Yan,Yun Chen, Baobao Chang, Zhiyuan Liu, Maosong Sun. Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models. In Proceedings of NeurIPS 2024. (CCF A)
  3. Zeguan Xiao, Yan Yang, Guanhua Chen,Yun Chen*. Distract Large Language Models for Automatic Jailbreak Attack. In Proceedings of EMNLP 2024. (CCF B)
  4. Hanqing Wang, Bowen Ping, Shuo Wang, Xu Han, Yun Chen*, Ziyuan Liu, Maosong Sun. LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks. In Proceedings of ACL 2024. (CCF A)

  5. Tianci Xue, Ziqi Wang, Yixia Li, Yun Chen, Guanhua Chen. PACIT: Unlocking the Power of Examples for Better In-Context. In Findings of ACL 2024. (CCF A)

  6. Hanqing Wang, Yajing Luo, Boya Xiong, Guanhua Chen, Yun Chen*. StyleBART: Decorate Pretrained Model with Style Adapters for Unsupervised Stylistic Headline Generationr. In Findings of EMNLP 2023. (CCF B)

  7. Guanhua Chen, Lu Hou, Yun Chen, Wenliang Dai, Lifeng Shang, Xin Jiang, Qun Liu, Jia Pan, Wenping Wang. mCLIP: Multilingual CLIP via Cross-lingual Transfer. In Proceedings of ACL 2023. (CCF A)

  8. Yong Wang, Shilin He, Guanhua Chen, Yun Chen, Daxin Jiang. XLM-D: Decorate Cross-lingual Pre-training Model as Non-Autoregressive Neural Machine Translation. In Proceedings of EMNLP 2022. (CCF B)

  9. Weikang Wang, Guanhua Chen, Hanqing Wang, Yue Han, Yun Chen*. Multilingual Sentence Transformer as A Multilingual Word Aligner. In Findings of EMNLP 2022. (short,CCF B)

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

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

  12. 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) 

  13. 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]

  14. 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]

  15. 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]

  16. 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]

  17. 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]

  18. 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]

  19. 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]

  20. 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]

  21. 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]

  22. 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]

  23. 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]

  24. 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


荣誉奖励
  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                            

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