Publications
2022

1. Tao Huang, Zekang Li, Hua Lu, Yong Shan, Shusheng Yang, Yang Feng, Fei Wang, Shan You, Chang Xu. Relational Surrogate Loss Learning. The Tenth International Conference on Learning Representations(ICLR-2022), 0-1pdfpdf

2. Chenze Shao, Xuanfu Wu, Yang Feng. One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive Translation. 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL-HLT 2022), July 10–15, 2022, 3779–3791, onlinepdfpdf

3. Chenze Shao, Yang Feng. Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation. The 60th Annual Meeting of the Association for Computational Linguistics(ACL-2022), May 22-27, 2022, 2023–2036, onlinepdfpdf

4. Dengji Guo, Zhengrui Ma, Min Zhang, Yang Feng. Prediction Difference Regularization against Perturbation for Neural Machine Translation. The 60th Annual Meeting of the Association for Computational Linguistics(ACL-2022), May 22-27, 2022, 7665–7675, onlinepdfpdf

5. Shaolei Zhang, Yang Feng. Modeling Dual Read/Write Paths for Simultaneous Machine Translation. The 60th Annual Meeting of the Association for Computational Linguistics(ACL-2022), May 22-27, 2022, 2461–2477, onlinepdfpdf

6. Shaolei Zhang, Yang Feng. Reducing Position Bias in Simultaneous Machine Translation with Length-Aware Framework. The 60th Annual Meeting of the Association for Computational Linguistics(ACL-2022), May 22-27, 2022, 6775–6788, onlinepdfpdf

7. Shaolei Zhang, Yang Feng. Gaussian Multi-head Attention for Simultaneous Machine Translation. The 60th Annual Meeting of the Association for Computational Linguistics(ACL-2022), May 22-27, 2022, 3019–3030, onlinepdfpdf

8. Qingkai Fang, Yang Feng. Neural Machine Translation with Phrase-Level Universal Visual Representations. The 60th Annual Meeting of the Association for Computational Linguistics(ACL-2022), May 22-27, 2022, 5687–5698, onlinepdfpdf

9. Qingkai Fang, Rong Ye, Lei Li, Yang Feng, Mingxuan Wang. STEMM: Self-learning with Speech-text Manifold Mixup for Speech Translation. The 60th Annual Meeting of the Association for Computational Linguistics(ACL-2022), May 22-27, 2022, 7050–7062, onlinepdfpdf