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 an Associate Professor in Institute of Computing Technology, Chinese Academy of Sciences where she got her phD degree in 2011. 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.


  • The enrollment for Graducation students in 2021 has started. Please email to me if you are interested.

  • We are recruiting postdocs and interns.

Honors & Distinctions

  • WAIC Outstanding Youth Paper Award, 2020

  • ICT/CAS “Brilliant Star”, 2019

  • Best Long Paper Award of ACL 2019

  • CCF NLPCC Distinguished Young Scientist, 2019

  • CAAI Outstanding Member, 2019

  • ICT/CAS “Outstanding Researcher”, 2018

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


Recent Publications:  [More Publications]

  • Yang Feng, Chenze Shao. 2020. Frontiers in Neural Machine Translation: A Literature Review. In Journal of Chinese Information Processing, 2020, Vol. 34 Issue (7): 1-18. [paper]

  • Haiyang Xue, Yang Feng, Shuhao Gu, Wei Chen. 2020. Robust Neural Machine Translation with ASR Errors. In Proceedings of ACL 2020 Automatic Simultaneous Translation Workshop. [paper]

  • Lei Shen, Yang Feng*. 2020. CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation. In Proceedings of ACL 2020. [paper]

  • Yong Shan, Zekang Li, Jinchao Zhang, Fandong Meng, Yang Feng*, Cheng Niu, Jie Zhou. 2020. A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking. In Proceedings of ACL 2020. 

  • Zekang Li, Zongjia Li, Jinchao Zhang, Yang Feng*, Cheng Niu, Jie Zhou. 2020. A Universal Multimodal Transformer for Video-Audio Scene-Aware Dialog. In Proceedings of AAAI 2020 DSTC8 Workshop. [paper] 

  • Yang Feng, Wanying Xie, Shuhao Gu, Chenze Shao, Wen Zhang, Zhengxin Yang, Dong Yu. 2020. Modeling Fluency and Faithfulness for Diverse Neural Machine Translation. In Proceedings of AAAI 2020. [paper] [code]

  • Chenze Shao, Jinchao Zhang, Yang Feng*, Fandong Meng and Jie Zhou. 2020. Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation. In Proceedings of AAAI 2020. [paper] [code]

  • Zhengxin Yang, Jinchao Zhang, Fandong Meng, Shuhao Gu, Yang Feng* and Jie Zhou. 2019. Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level NMT. In Proceedings of EMNLP 2019. [paper] 

  • Wen Zhang, Yang Feng*, Fandong Meng, Di You, Qun Liu. 2019. Bridging the Gap between Training and Inference for Neural Machine Translation. In Proceedings of ACL 2019. [paper] [code] 
    Winner of Best Long Paper Award

  • Chenze Shao, Yang Feng*, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou. 2019. Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation. In Proceedings of ACL 2019. [paper] 

  • Lei Shen, Yang Feng*, Haolan Zhan. 2019. Modeling Semantic Relationship in Multi-turn Conversations withHierarchical Latent Variables. In Poceedings of ACL 2019. [paper]

  • Zekang Li, Cheng Niu, Fandong Meng, Yang Feng, Qian Li, Jie Zhou. 2019. Incremental Transformer with Deliberation Decoder for Document Grounded Conversations. In Proceedings of ACL 2019. [paper]

  • Shuhao Gu, Yang Feng*, Qun Liu. 2019. Improving Domain Adaptation Translation with Domain Invariant and Specific Information. In Proceedings of NAACL 2019. [paper]


  • A Review of the Progress of Machine Translation (in Chinese). 2019. YSSNLP invited talk. [slides]
  • An Overview of Machine Translation Frontier (in Chinese). 2019. CCL invited talk. [slides]
  • Diving into the Training for the Sequence-to-sequence Model. 2019. NLPCC NLG Workshop. [slides]

Personal Services

  • Editorial Board Member:   the Northern European Journal of Language Technology
  • Area Chair:   ACL 2021;EMNLP 2020;  COLING 2018
  • Committee Co-chair:   EMNLP 2020 Virtual Infra-structure Committee (VIC)


Ph.D candidates:   

Shuman Liu (Co-advising with Prof. Qun Liu);   Jiao Ou;   Peerachet Porkaew;   Shuhao Gu;   Lei Shen;   Zhengxin Yang;   Chenze Shao;   Shaolei Zhang;   Zhuocheng Zhang (Co-advising with Prof. Min Zhang).

Master candidates:   

Jicheng Li;   Yong Shan;   Dengji Guo;   Zekang Li  Xuanfu Wu.


Ph.D:   Wen Zhang (Co-advising with Prof. Qun Liu).
Master:   Jingyu Li;   Haiyang Xue;   Shugen Wang.