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