Yang Feng


Natural Language Processing Group
Key Laboratory of Intelligent Information Processing
Institute of Computing Technology, Chinese Academy of Sciences (ICT/CAS)

No. 6 Kexueyuan South Road, Haidian District, Beijing, China, 100190

fengyang [at] ict [dot] ac [dot] cn


Yang Feng is professor in Institute of Computing Technology, Chinese Academy of Sciences where she got her phD degree. She worked in University of Sheffield and Information Sciences Institute, University of Southern California from 2011 to 2014. Now she leads the natural language process group in ICT/CAS and her research interest is natural language processing, mainly focusing on machine translation and dialogue. She was the recipient of the Best Long Paper Award of ACL 2019.


  • We are recruiting postdocs and interns. We accept applications for graduate students in 2023 from now on. Please contact me via email. 

  • We have 1 paper accepted by NAACL 2022 main conference.

  • I am serving as Permament Senior Action Editor for ARR. 

  • We have 6 papers accepted by ACL 2022 main conference and 1 paper accepted by Findings of ACL 2022.

  • I will give a Qingyuan talk of "From Sequence-to-Sequence Generation to Prefix-to-Prefix Generation" in December 9th, 2021.

  • We have 3 papers accepted by EMNLP 2021 and 1 paper accepted by Computational Linguistics.

Honors & Distinctions

  • Weichang Qian Chinese Information Processing Science&Technology Award--Hanwang Youth Award First Prize,2020

  • ICT/CAS “Brilliant Star”, 2019

  • Best Long Paper Award of ACL 2019

  • CCF Technical Committee on NLP "Young Scientist", 2019

  • CAAI Outstanding Member, 2019

  • ICT/CAS “Baixing Talent Introduction Program”, 2017


Recent Publications:  [More Publications]

  • Chenze Shao, Yang Feng. Exploring Non-Monotonic Latent Alignments for Non-Autoregressive Machine Translation. NeurIPS 2022.

  • Tao Huang, Zekang Li, Hua Lu, Yong Shan, Shusheng Yang, Yang Feng, Fei Wang, Shan You, Chang Xu. Relational Surrogate Loss Learning. In Proceedings of ICLR 2022.

  • Chenze Shao, Yang Feng. Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation. In Proceedings of ACL 2022.

  • Dengji Guo, Zhengrui Ma, Min Zhang, Yang Feng. Prediction Difference Regularization against Perturbation for Neural Machine TranslationIn Proceedings of ACL 2022.

  • Shaolei Zhang, Yang Feng. Modeling Dual Read/Write Paths for Simultaneous Machine Translation. In Proceedings of ACL 2022.

  • Shaolei Zhang, Yang Feng. Reducing Position Bias in Simultaneous Machine Translation with Length-Aware FrameworkIn Proceedings of ACL 2022.

  • Qingkai Fang, Yang Feng. Neural Machine Translation with Phrase-Level Universal Visual RepresentationsIn Proceedings of ACL 2022.

  • Qingkai Fang, Rong Ye, Lei Li, Yang Feng, Mingxuan Wang. STEMM: Self-learning with Speech-text Manifold Mixup for Speech TranslationIn Proceedings of ACL 2022.

  • Shaolei Zhang, Yang Feng. Gaussian Multi-head Attention for Simultaneous Machine TranslationIn Findings of ACL 2022.

  • Chenze Shao, Xuanfu Wu, Yang Feng. One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive TranslationIn Proceedings of NAACL-HLT 2022.

Personal Services

  • Permanent Senior Action Editor: ACL Rolling Review (2022)
  • Action Editor: ACL Rolling Review (2021)
  • Editorial Board Member:   the Northern European Journal of Language Technology
  • Senior Area Chair:  EMNLP 2021; AACL 2022
  • Area Chair:   ACL 2021;EMNLP 2020;  COLING 2018
  • Co-chair:   EMNLP 2020 Virtual Infra-structure Committee (VIC)
  • Doctorate Committee Assessor of KU Leuven


Ph.D candidates:   

Jiao Ou;   Shuhao Gu;   Chenze Shao;   Shaolei Zhang;   Qingkai Fang.

Shuman Liu (Co-advising with Prof. Qun Liu).

Master candidates:   

Xuanfu Wu;   Langlin Huang;   Longxiang Liu.


Ph.D:   Wen Zhang (Co-advising with Prof. Qun Liu).
Master:   Jingyu Li;   Haiyang Xue;   Shugen Wang;   Yong Shan;   Jicheng Li;Dengji Guo;   Zekang Li.