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Selected Publications:
Zhuofan Wen, Shangtong Gui, Yang Feng.
Speculative Decoding with CTC-based Draft Model for LLM Inference Acceleration.
To appear in Proceedings of NeurIPS 2024. Qingkai Fang, Shoutao Guo, Yan Zhou, Zhengrui Ma, Shaolei Zhang, Yang Feng.
LLaMA-Omni: Seamless Speech Interaction with Large Language Models.
In arXiv:2409.06666. Shaolei Zhang, Tian Yu, Yang Feng.
TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space.
In Proceedings of ACL 2024. Qingkai Fang, Shaolei Zhang, Zhengrui Ma, Min Zhang, Yang Feng.
Can We Achieve High-quality Direct Speech-to-Speech Translation Without Parallel Speech Data?.
In Proceedings of ACL 2024. Shaolei Zhang, Qingkai Fang, Shoutao Guo, Zhengrui Ma, Min Zhang, Yang Feng.
StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task Learning.
In Proceedings of ACL 2024. Zhengrui Ma, Qingkai Fang, Shaolei Zhang, Shoutao Guo, Yang Feng, Min Zhang.
A Non-autoregressive Generation Framework for End-to-End Simultaneous Speech-to-Any Translation.
In Proceedings of ACL 2024. Shoutao Guo, Shaolei Zhang, Yang Feng.
Decoder-only Streaming Transformer for Simultaneous Translation.
In Proceedings of ACL 2024. Tian Yu, Shaolei Zhang, Yang Feng.
Truth-Aware Context Selection: Mitigating the Hallucinations of Large Language Models Being Misled by Untruthful Contexts.
In Findings of ACL 2024. Qingkai Fang, Zhengrui Ma, Yan Zhou, Min Zhang, Yang Feng.
CTC-based Non-autoregressive Textless Speech-to-Speech Translation.
In Findings of ACL 2024. Mengyu Bu, Shuhao Gu, Yang Feng.
Improving Multilingual Neural Machine Translation by Utilizing Semantic and Linguistic Features.
In Findings of ACL 2024. Langlin Huang, Yang Feng.
Integrating Multi-scale Contextualized Information for Byte-based Neural Machine Translation.
In Findings of ACL 2024. Shoutao Guo, Shaolei Zhang, Yang Feng.
Glancing Future for Simutaneous Machine Translation.
In Proceedings of ICASSP 2024. Longxiang Liu, Xiuxing Li, Yang Feng.
TA&AT: Enhancing Task-Oriented Dialog with Turn-Level Auxiliary Tasks and Action-Tree Based Scheduled Sampling.
In Proceedings of AAAI 2024.
Zhengrui Ma, Shaolei Zhang, Shoutao Guo, Chenze Shao, Min Zhang, Yang Feng.
Non-autoregressive Streaming Transformer for Simultaneous Translation.
In Proceedings of EMNLP 2023. Wenyu Guo, Qingkai Fang, Dong Yu, Yang Feng.
Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation.
In Proceedings of EMNLP 2023. Shoutao Guo, Shaolei Zhang, Yang Feng.
Simultaneous Machine Translation with Tailored Reference.
In Findings of EMNLP 2023. Langlin Huang, Shuhao Gu, Zhuocheng Zhang, Yang Feng.
Enhancing Neural Machine Translation with Semantic Units.
In Findings of EMNLP 2023. Zhuocheng Zhang, Shuhao Gu, Min zhang, Yang Feng.
Scaling Law for Document Neural Machine Translation.
In Findings of EMNLP 2023. Zhuocheng Zhang, Shuhao Gu, Min zhang, Yang Feng.
Addressing the Length Bias Challenge in Document-Level Neural Machine Translation.
In Findings of EMNLP 2023. Qingkai Fang, Yan Zhou, Yang Feng.
DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation.
In NeurIPS 2023. Shaolei Zhang, Yang Feng.
Unified Segment-to-Segment Framework for Simultaneous Sequence Generation.
In NeurIPS 2023. Chenze Shao, Zhengrui Ma, Min Zhang, Yang Feng.
Beyond MLE: Convex Loss for Text Generation.
In NeurIPS 2023. Shangtong Gui, Chenze Shao, Zhengrui Ma, Xishan Zhang, Yunji Chen, Yang Feng.
Non-autoregressive Machine Translation with Probabilistic Context-free Grammar.
In NeurIPS 2023. Shaolei Zhang, Qingkai Fang, Zhuocheng Zhang, Zhengrui Ma, Yan Zhou, Langlin Huang, Mengyu Bu, Shangtong Gui, Yunji Chen, Xilin Chen, Yang Feng.
BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language Models.
In arXiv:2306.10968. Koichiro Yoshino, Yun-Nung Chen, Paul Crook, Satwik Kottur, Jinchao Li, Behnam Hedayatnia, Seungwhan Moon, Zhengcong Fei, Zekang Li, Jinchao Zhang, Yang Feng, Jie Zhou, Seokhwan Kim, Yang Liu, Di Jin, Alexandros Papangelis, Karthik Gopalakrishnan, Dilek Hakkani-Tur, Babak Damavandi, Alborz Geramifard, Chiori Hori, Ankit Shah, Chen Zhang, Haizhou Li, João Sedoc, Luis F D'Haro, Rafael Banchs, Alexander Rudnicky.
Overview of the Tenth Dialog System Technology Challenge: DSTC10.
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP). Qingkai Fang, Yang Feng.
Understanding and Bridging the Modality Gap for Speech Translation.
In Proceedings of ACL 2023. Qingkai Fang, Yang Feng.
Back Translation for Speech-to-text Translation Without Transcripts.
In Proceedings of ACL 2023. Shoutao Guo, Shaolei Zhang, Yang Feng.
Learning Optimal Policy for Simultaneous Machine Translationvia Binary Search.
In Proceedings of ACL 2023. Yan Zhou, Qingkai Fang, Yang Feng.
CMOT: Cross-modal Mixup via Optimal Transport for Speech Translation.
In Proceedings of ACL 2023. Shaolei Zhang, Yang Feng.
End-to-End Simultaneous Speech Translation with Differentiable Segmentation.
In Findings of ACL 2023. Shaolei Zhang, Yang Feng.
Hidden Markov Transformer for Simultaneous Machine Translation.
In Proceedings of ICLR 2023. Zhengrui Ma, Chenze Shao, Shangtong Gui, Min Zhang and Yang Feng.
Fuzzy Alignments in Directed Acyclic Graph for Non-autoregressive Machine Translation.
In Proceedings of ICLR 2023. Chenze Shao, Jinchao Zhang, Jie Zhou, Yang Feng.
Rephrasing the Reference for Non-Autoregressive Machine Translation.
In Proceedings of AAAI 2023.
Shuhao Gu, Bojie Hu, Yang Feng.
Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions.
In Proceedings of EMNLP 2022. Shaolei Zhang, Yang Feng.
Information-Transport-based Policy for Simultaneous Translation.
In Proceedings of EMNLP 2022. Zhe Yang, Qingkai Fang, Yang Feng.
Low-resource Neural Machine Translation with Cross-modal Alignment.
In Proceedings of EMNLP 2022. Jiao Ou, Jinchao Zhang, Yang Feng, Jie Zhou.
Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues.
In Proceedings of EMNLP 2022. Shuhao Gu, Yang Feng.
Improving Zero-Shot Multilingual Translation with Universal Representations and Cross-Mappings.
In Findings of EMNLP 2022. Chenze Shao, Zhengrui Ma, Yang Feng.
Viterbi Decoding of Directed Acyclic Transformer for Non-Autoregressive Machine Translation.
In Findings of EMNLP 2022. Shaolei Zhang, Shoutao Guo, Yang Feng.
Wait-info Policy: Balancing Source and Target at Information Level for Simultaneous Machine Translation.
In Findings of EMNLP 2022. Shoutao Guo, Shaolei Zhang, Yang Feng.
Turning Fixed to Adaptive: Integrating Post-Evaluation into Simultaneous Machine Translation.
In Findings of EMNLP 2022. Yang Feng, Chenze Shao.
Non-Autoregressive Models for Fast Sequence Generation.
In Proceedings of EMNLP 2022: Tutorial Abstracts. Chenze Shao, Yang Feng.
Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation.
In NeurIPS 2022. Chenze Shao, Xuanfu Wu, Yang Feng.
One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive Translation.
In Proceedings of NAACL-HLT 2022. Qingkai Fang, Rong Ye, Lei Li, Yang Feng, Mingxuan Wang.
STEMM: Self-learning with Speech-text Manifold Mixup for Speech Translation.
In Proceedings of ACL 2022. Qingkai Fang, Yang Feng.
Neural Machine Translation with Phrase-Level Universal Visual Representations.
In Proceedings of ACL 2022. Shaolei Zhang, Yang Feng.
Reducing Position Bias in Simultaneous Machine Translation with Length-Aware Framework.
In Proceedings of ACL 2022. Shaolei Zhang, Yang Feng.
Modeling Dual Read/Write Paths for Simultaneous Machine Translation.
In Proceedings of ACL 2022. Dengji Guo, Zhengrui Ma, Min Zhang, Yang Feng.
Prediction Difference Regularization against Perturbation for Neural Machine Translation.
In Proceedings of ACL 2022. Chenze Shao, Yang Feng.
Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation.
In Proceedings of ACL 2022. Shaolei Zhang, Yang Feng.
Gaussian Multi-head Attention for Simultaneous Machine Translation.
In Findings of ACL 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, Jinchao Zhang, Fandong Meng, Jie Zhou.
Sequence-Level Training for Non-Autoregressive Neural Machine Translation.
In Computational Linguistics. Shaolei Zhang, Yang Feng.
Universal Simultaneous Machine Translation with Mixture-of-Experts Wait-k Policy.
In Proceedings of EMNLP 2021. Shaolei Zhang, Yang Feng.
Modeling Concentrated Cross-Attention for Neural Machine Translation with Gaussian Mixture Model.
In Findings of EMNLP 2021. Jicheng Li, Pengzhi Gao, Xuanfu Wu, Yang Feng, Zhongjun He, Hua Wu, Haifeng Wang.
Mixup Decoding for Diverse Machine Translation.
In Findings of EMNLP 2021. Wanying Xie, Yang Feng, Shuhao Gu, Dong Yu.
Importance-based Neuron Allocation for Multilingual Neural Machine Translation.
In Proceedings of ACL 2021. Zekang Li, Jinchao Zhang, Zhengcong Fei, Yang Feng, Jie Zhou.
Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances.
In Proceedings of ACL 2021. Yang Feng, Shuhao Gu, Dengji Guo, Zhengxin Yang, Chenze Shao.
Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation.
In Proceedings of ACL 2021. Zekang Li, Jinchao Zhang, Zhengcong Fei, Yang Feng, Jie Zhou.
Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot Consistency.
In Findings of ACL 2021. Lei Shen, Fandong Meng, Jinchao Zhang, Yang Feng, Jie Zhou.
A Generative Triple-wise Model for Conversational Question Generation.
In Proceedings of ACL 2021. Jicheng Li, Yang Feng, Jiao Ou.
SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text Style Transfer.
In Proceedings of IJCNN 2021. Jiao Ou, Yang Feng.
Better Learning and Fusing Multi-Granularity Context Representations for Relevant Response Generation.
In Proceedings of IJCNN 2021. Yong Shan, Yang Feng, Chenze Shao.
Modeling Coverage for Non-Autoregressive Neural Machine Translation.
In Proceedings of IJCNN 2021. Shuhao Gu, Yang Feng, Wanying Xie.
Pruning-then-Expanding Model for Domain Adaptation of Neural Machine Translation.
In Proceedings of NAACL 2021. Zekang Li, Zongjia Li, Jinchao Zhang, Yang Feng, Jie Zhou.
Bridging Text and Video: A Universal Multimodal Transformer for Video-Audio Scene-Aware Dialog.
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP). Shaolei Zhang, Yang Feng, Liangyou Li.
Future-Guided Incremental Transformer for Simultaneous Translation.
In Proceedings of AAAI 2021.
Shuhao Gu, Yang Feng.
Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation.
In Proceedings of COLING 2020. [paper] Xuanfu Wu, Yang Feng, Chenze Shao.
Generating Diverse Translation from Model Distribution with Dropout.
In Proceedings of EMNLP 2020. [paper] Shuhao Gu, Jinchao Zhang, Fandong Meng, Yang Feng, Wanying Xie, Jie Zhou, Dong Yu.
Token-level Adaptive Training for Neural Machine Translation.
In Proceedings of EMNLP 2020. [paper] Yang Feng, Chenze Shao.
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.
Robust Neural Machine Translation with ASR Errors.
In Proceedings of ACL 2020 Automatic Simultaneous Translation Workshop. [paper] Lei Shen, Yang Feng.
CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation.
In Proceedings of ACL 2020. [paper] Zekang Li, Zongjia Li, Jinchao Zhang, Yang Feng, Cheng Niu, Jie Zhou.
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.
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.
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.
Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level NMT.
In Proceedings of EMNLP 2019. [paper] Jie Zhu, Shugen Wang, Yanru Wu, Meijing Guan, and Yang Feng.
A New Algorithm for Component Decomposition and Type Recognition of Tibetan Syllable.
In Proceedings of NLPCC 2019. Haiyang Xue, Yang Feng, Di You, Wen Zhang, Jingyu Li.
Neural Machine Translation with Bilingual History Involved Attention.
In Proceedings of NLPCC 2019. Shuhao Gu, Yang Feng.
Improving Multi-Head Attention with CapsuleNetworks.
In Proceedings of NLPCC 2019. Wen Zhang, Yang Feng, Fandong Meng, Di You, Qun Liu.
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.
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation.
In Proceedings of ACL 2019. [paper] Lei Shen, Yang Feng, Haolan Zhan.
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.
Incremental Transformer with Deliberation Decoder for Document Grounded Conversations.
In Proceedings of ACL 2019. [paper] Shuhao Gu, Yang Feng, Qun Liu.
Improving Domain Adaptation Translation with Domain Invariant and Specific Information.
In Proceedings of NAACL 2019. [paper]
Wen Zhang, Liang Huang, Yang Feng, Lei Shen, Qun Liu.
Speeding Up Neural Machine Translation Decoding by Cube Pruning.
In Proceedings of EMNLP 2018. [paper] Chenze Shao, Yang Feng, Xilin Chen.
Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation.
In Proceedings of EMNLP 2018. [paper] Wen Zhang, Jiawei Hu, Yang Feng, Qun Liu.
Refining Source Representations with Relation Networks for Neural Machine Translation.
In Proceedings of COLING 2018. [paper] Shuman Liu, Hongshen Chen, Zhaochun Ren, Yang Feng, Qun Liu, Dawei Yin.
Knowledge Diffusion for Neural Dialogue Generation.
In Proceedings of ACL 2018. [paper]
Lantian Li, Zhiyuan Tang, Dong Wang, Andrew Abel, Yang Feng, Shiyue Zhang.
Collaborative Learning for Language and Speaker Recognition.
In Proceedings of National Conference on Man-Machine Speech Communication (2017). Jiyuan Zhang, Yang Feng, Dong Wang, Yang Wang, Andrew Abel, Shiyue Zhang, Andi Zhang.
Flexible and Creative Chinese Poetry Generation Using Neural Memory.
In Proceedings of ACL 2017. [paper] Zhiyuan Tang, Ying Shi, Dong Wang, Yang Feng, Shiyue Zhang.
Memory visualization for gated recurrent neural networks in speech recognition.
In Proceedings of ICASSP 2017. [paper] Yang Feng, Shiyue Zhang, Andi Zhang, Dong Wang, Andrew Abel.
Memory-augmented Neural Machine Translation
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In Proceedings of EMNLP 2017. [paper]
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