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Yang Feng 0004
Person information
- affiliation: Chinese Academy of Sciences, Institute of Computing Technology, Key Laboratory of Intelligent Information Processing, Beijing, China
- affiliation (former): Tsinghua University, TNList / RIIT, Center for Speech and Language Technologies, Beijing, China
Other persons with the same name
- Yang Feng — disambiguation page
- Yang Feng 0001
— University of Rochester, NY, USA
- Yang Feng 0002
— New York University, Department of Biostatistics, NY, USA (and 1 more)
- Yang Feng 0003
— Nanjing University, Nanjing, China (and 1 more)
- Yang Feng 0005
— Xi'an Institute of Posts and Telecommunications, China (and 1 more)
- Yang Feng 0006
— Xidian University, National Laboratory of Radar Signal Processing, Xi'an, China
- Yang Feng 0007
— Donghua University, School of Information Science and Technology, Shanghai, China
- Yang Feng 0008
— Changzhou University, School of Information Science and Engineering, China
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2020 – today
- 2024
- [j3]Koichiro Yoshino
, Yun-Nung Chen
, Paul A. 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 E. Banchs, Alexander Rudnicky
:
Overview of the Tenth Dialog System Technology Challenge: DSTC10. IEEE ACM Trans. Audio Speech Lang. Process. 32: 765-778 (2024) - [c89]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. ACL (1) 2024: 1557-1575 - [c88]Qingkai Fang, Shaolei Zhang, Zhengrui Ma, Min Zhang, Yang Feng:
Can We Achieve High-quality Direct Speech-to-Speech Translation without Parallel Speech Data? ACL (1) 2024: 7264-7277 - [c87]Shoutao Guo, Shaolei Zhang, Yang Feng:
Decoder-only Streaming Transformer for Simultaneous Translation. ACL (1) 2024: 8851-8864 - [c86]Shaolei Zhang, Tian Yu, Yang Feng:
TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space. ACL (1) 2024: 8908-8949 - [c85]Shaolei Zhang, Qingkai Fang, Shoutao Guo, Zhengrui Ma, Min Zhang, Yang Feng:
StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task Learning. ACL (1) 2024: 8964-8986 - [c84]Langlin Huang, Yang Feng:
Integrating Multi-scale Contextualized Information for Byte-based Neural Machine Translation. ACL (Findings) 2024: 9794-9801 - [c83]Tian Yu, Shaolei Zhang, Yang Feng:
Truth-Aware Context Selection: Mitigating Hallucinations of Large Language Models Being Misled by Untruthful Contexts. ACL (Findings) 2024: 10862-10884 - [c82]Shoutao Guo, Shaolei Zhang, Yang Feng:
Glancing Future for Simultaneous Machine Translation. ICASSP 2024: 11386-11390 - [i82]Shoutao Guo, Shaolei Zhang, Zhengrui Ma, Min Zhang, Yang Feng:
SiLLM: Large Language Models for Simultaneous Machine Translation. CoRR abs/2402.13036 (2024) - [i81]Shaolei Zhang, Tian Yu, Yang Feng:
TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space. CoRR abs/2402.17811 (2024) - [i80]Tian Yu, Shaolei Zhang, Yang Feng:
Truth-Aware Context Selection: Mitigating the Hallucinations of Large Language Models Being Misled by Untruthful Contexts. CoRR abs/2403.07556 (2024) - [i79]Shaolei Zhang, Qingkai Fang, Shoutao Guo, Zhengrui Ma, Min Zhang, Yang Feng:
StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task Learning. CoRR abs/2406.03049 (2024) - [i78]Shoutao Guo, Shaolei Zhang, Yang Feng:
Decoder-only Streaming Transformer for Simultaneous Translation. CoRR abs/2406.03878 (2024) - [i77]Shoutao Guo, Shaolei Zhang, Zhengrui Ma, Min Zhang, Yang Feng:
Agent-SiMT: Agent-assisted Simultaneous Machine Translation with Large Language Models. CoRR abs/2406.06910 (2024) - [i76]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. CoRR abs/2406.06937 (2024) - [i75]Qingkai Fang, Shaolei Zhang, Zhengrui Ma, Min Zhang, Yang Feng:
Can We Achieve High-quality Direct Speech-to-Speech Translation without Parallel Speech Data? CoRR abs/2406.07289 (2024) - [i74]Qingkai Fang, Zhengrui Ma, Yan Zhou, Min Zhang, Yang Feng:
CTC-based Non-autoregressive Textless Speech-to-Speech Translation. CoRR abs/2406.07330 (2024) - 2023
- [c81]Chenze Shao, Jinchao Zhang, Jie Zhou, Yang Feng:
Rephrasing the Reference for Non-autoregressive Machine Translation. AAAI 2023: 13538-13546 - [c80]Shoutao Guo, Shaolei Zhang, Yang Feng:
Learning Optimal Policy for Simultaneous Machine Translation via Binary Search. ACL (1) 2023: 2318-2333 - [c79]Qingkai Fang, Yang Feng:
Back Translation for Speech-to-text Translation Without Transcripts. ACL (1) 2023: 4567-4587 - [c78]Shaolei Zhang, Yang Feng:
End-to-End Simultaneous Speech Translation with Differentiable Segmentation. ACL (Findings) 2023: 7659-7680 - [c77]Yan Zhou, Qingkai Fang, Yang Feng:
CMOT: Cross-modal Mixup via Optimal Transport for Speech Translation. ACL (1) 2023: 7873-7887 - [c76]Qingkai Fang, Yang Feng:
Understanding and Bridging the Modality Gap for Speech Translation. ACL (1) 2023: 15864-15881 - [c75]Langlin Huang, Shuhao Gu, Zhuocheng Zhang, Yang Feng:
Enhancing Neural Machine Translation with Semantic Units. EMNLP (Findings) 2023: 2264-2277 - [c74]Wenyu Guo, Qingkai Fang, Dong Yu, Yang Feng:
Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation. EMNLP 2023: 2863-2874 - [c73]Shoutao Guo, Shaolei Zhang, Yang Feng:
Simultaneous Machine Translation with Tailored Reference. EMNLP (Findings) 2023: 3070-3084 - [c72]Zhengrui Ma, Shaolei Zhang, Shoutao Guo, Chenze Shao, Min Zhang, Yang Feng:
Non-autoregressive Streaming Transformer for Simultaneous Translation. EMNLP 2023: 5177-5190 - [c71]Zhuocheng Zhang, Shuhao Gu, Min Zhang, Yang Feng:
Scaling Law for Document Neural Machine Translation. EMNLP (Findings) 2023: 8290-8303 - [c70]Zhengrui Ma, Chenze Shao, Shangtong Gui, Min Zhang, Yang Feng:
Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation. ICLR 2023 - [c69]Shaolei Zhang, Yang Feng:
Hidden Markov Transformer for Simultaneous Machine Translation. ICLR 2023 - [c68]Qingkai Fang, Yan Zhou, Yang Feng:
DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation. NeurIPS 2023 - [c67]Shangtong Gui, Chenze Shao, Zhengrui Ma, Xishan Zhang, Yunji Chen, Yang Feng:
Non-autoregressive Machine Translation with Probabilistic Context-free Grammar. NeurIPS 2023 - [c66]Chenze Shao, Zhengrui Ma, Min Zhang, Yang Feng:
Beyond MLE: Convex Learning for Text Generation. NeurIPS 2023 - [c65]Shaolei Zhang, Yang Feng:
Unified Segment-to-Segment Framework for Simultaneous Sequence Generation. NeurIPS 2023 - [i73]Shaolei Zhang, Yang Feng:
Hidden Markov Transformer for Simultaneous Machine Translation. CoRR abs/2303.00257 (2023) - [i72]Zhengrui Ma, Chenze Shao, Shangtong Gui, Min Zhang, Yang Feng:
Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation. CoRR abs/2303.06662 (2023) - [i71]Qingkai Fang, Yang Feng:
Understanding and Bridging the Modality Gap for Speech Translation. CoRR abs/2305.08706 (2023) - [i70]Qingkai Fang, Yang Feng:
Back Translation for Speech-to-text Translation Without Transcripts. CoRR abs/2305.08709 (2023) - [i69]Shoutao Guo, Shaolei Zhang, Yang Feng:
Learning Optimal Policy for Simultaneous Machine Translation via Binary Search. CoRR abs/2305.12774 (2023) - [i68]Yan Zhou, Qingkai Fang, Yang Feng:
CMOT: Cross-modal Mixup via Optimal Transport for Speech Translation. CoRR abs/2305.14635 (2023) - [i67]Shaolei Zhang, Yang Feng:
End-to-End Simultaneous Speech Translation with Differentiable Segmentation. CoRR abs/2305.16093 (2023) - [i66]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. CoRR abs/2306.10968 (2023) - [i65]Shoutao Guo, Shaolei Zhang, Yang Feng:
Glancing Future for Simultaneous Machine Translation. CoRR abs/2309.06179 (2023) - [i64]Qingkai Fang, Yan Zhou, Yang Feng:
DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation. CoRR abs/2310.07403 (2023) - [i63]Langlin Huang, Shuhao Gu, Zhuocheng Zhang, Yang Feng:
Enhancing Neural Machine Translation with Semantic Units. CoRR abs/2310.11360 (2023) - [i62]Wenyu Guo, Qingkai Fang, Dong Yu, Yang Feng:
Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation. CoRR abs/2310.13361 (2023) - [i61]Shoutao Guo, Shaolei Zhang, Yang Feng:
Simultaneous Machine Translation with Tailored Reference. CoRR abs/2310.13588 (2023) - [i60]Zhengrui Ma, Shaolei Zhang, Shoutao Guo, Chenze Shao, Min Zhang, Yang Feng:
Non-autoregressive Streaming Transformer for Simultaneous Translation. CoRR abs/2310.14883 (2023) - [i59]Chenze Shao, Zhengrui Ma, Min Zhang, Yang Feng:
Beyond MLE: Convex Learning for Text Generation. CoRR abs/2310.17217 (2023) - [i58]Shangtong Gui, Chenze Shao, Zhengrui Ma, Xishan Zhang, Yunji Chen, Yang Feng:
Non-autoregressive Machine Translation with Probabilistic Context-free Grammar. CoRR abs/2311.07941 (2023) - [i57]Zhuocheng Zhang, Shuhao Gu, Min Zhang, Yang Feng:
Addressing the Length Bias Problem in Document-Level Neural Machine Translation. CoRR abs/2311.11601 (2023) - 2022
- [c64]Chenze Shao, Yang Feng:
Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation. ACL (1) 2022: 2023-2036 - [c63]Shaolei Zhang
, Yang Feng:
Modeling Dual Read/Write Paths for Simultaneous Machine Translation. ACL (1) 2022: 2461-2477 - [c62]Shaolei Zhang
, Yang Feng:
Gaussian Multi-head Attention for Simultaneous Machine Translation. ACL (Findings) 2022: 3019-3030 - [c61]Qingkai Fang, Yang Feng:
Neural Machine Translation with Phrase-Level Universal Visual Representations. ACL (1) 2022: 5687-5698 - [c60]Shaolei Zhang
, Yang Feng:
Reducing Position Bias in Simultaneous Machine Translation with Length-Aware Framework. ACL (1) 2022: 6775-6788 - [c59]Qingkai Fang, Rong Ye, Lei Li, Yang Feng, Mingxuan Wang:
STEMM: Self-learning with Speech-text Manifold Mixup for Speech Translation. ACL (1) 2022: 7050-7062 - [c58]Dengji Guo, Zhengrui Ma, Min Zhang, Yang Feng:
Prediction Difference Regularization against Perturbation for Neural Machine Translation. ACL (1) 2022: 7665-7675 - [c57]Shaolei Zhang, Yang Feng:
Information-Transport-based Policy for Simultaneous Translation. EMNLP 2022: 992-1013 - [c56]Jiao Ou, Jinchao Zhang, Yang Feng, Jie Zhou:
Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues. EMNLP 2022: 1635-1648 - [c55]Shuhao Gu, Bojie Hu, Yang Feng:
Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions. EMNLP 2022: 1707-1718 - [c54]Shaolei Zhang, Shoutao Guo, Yang Feng:
Wait-info Policy: Balancing Source and Target at Information Level for Simultaneous Machine Translation. EMNLP (Findings) 2022: 2249-2263 - [c53]Shoutao Guo, Shaolei Zhang, Yang Feng:
Turning Fixed to Adaptive: Integrating Post-Evaluation into Simultaneous Machine Translation. EMNLP (Findings) 2022: 2264-2278 - [c52]Chenze Shao, Zhengrui Ma, Yang Feng:
Viterbi Decoding of Directed Acyclic Transformer for Non-Autoregressive Machine Translation. EMNLP (Findings) 2022: 4390-4397 - [c51]Shuhao Gu, Yang Feng:
Improving Zero-Shot Multilingual Translation with Universal Representations and Cross-Mapping. EMNLP (Findings) 2022: 6492-6504 - [c50]Zhe Yang, Qingkai Fang, Yang Feng:
Low-resource Neural Machine Translation with Cross-modal Alignment. EMNLP 2022: 10134-10146 - [c49]Chenze Shao, Xuanfu Wu, Yang Feng:
One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive Translation. NAACL-HLT 2022: 3779-3791 - [c48]Chenze Shao, Yang Feng:
Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation. NeurIPS 2022 - [e1]Maosong Sun, Yang Liu, Wanxiang Che, Yang Feng, Xipeng Qiu, Gaoqi Rao, Yubo Chen
:
Chinese Computational Linguistics - 21st China National Conference, CCL 2022, Nanchang, China, October 14-16, 2022, Proceedings. Lecture Notes in Computer Science 13603, Springer 2022, ISBN 978-3-031-18314-0 [contents] - [i56]Yong Shan, Jinchao Zhang, Zekang Li, Yang Feng, Jie Zhou:
Mental Health Assessment for the Chatbots. CoRR abs/2201.05382 (2022) - [i55]Chenze Shao, Yang Feng:
Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation. CoRR abs/2203.03910 (2022) - [i54]Shaolei Zhang, Yang Feng:
Reducing Position Bias in Simultaneous Machine Translation with Length-Aware Framework. CoRR abs/2203.09053 (2022) - [i53]Shaolei Zhang, Yang Feng:
Gaussian Multi-head Attention for Simultaneous Machine Translation. CoRR abs/2203.09072 (2022) - [i52]Shaolei Zhang, Yang Feng:
Modeling Dual Read/Write Paths for Simultaneous Machine Translation. CoRR abs/2203.09163 (2022) - [i51]Qingkai Fang, Yang Feng:
Neural Machine Translation with Phrase-Level Universal Visual Representations. CoRR abs/2203.10299 (2022) - [i50]Qingkai Fang, Rong Ye, Lei Li, Yang Feng, Mingxuan Wang:
STEMM: Self-learning with Speech-text Manifold Mixup for Speech Translation. CoRR abs/2203.10426 (2022) - [i49]Chenze Shao, Xuanfu Wu, Yang Feng:
One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive Translation. CoRR abs/2205.14333 (2022) - [i48]Chenze Shao, Yang Feng:
Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation. CoRR abs/2210.03953 (2022) - [i47]Chenze Shao, Zhengrui Ma, Yang Feng:
Viterbi Decoding of Directed Acyclic Transformer for Non-Autoregressive Machine Translation. CoRR abs/2210.05193 (2022) - [i46]Zhe Yang, Qingkai Fang, Yang Feng:
Low-resource Neural Machine Translation with Cross-modal Alignment. CoRR abs/2210.06716 (2022) - [i45]Shaolei Zhang
, Shoutao Guo, Yang Feng:
Wait-info Policy: Balancing Source and Target at Information Level for Simultaneous Machine Translation. CoRR abs/2210.11220 (2022) - [i44]Shoutao Guo, Shaolei Zhang
, Yang Feng:
Turning Fixed to Adaptive: Integrating Post-Evaluation into Simultaneous Machine Translation. CoRR abs/2210.11900 (2022) - [i43]Shaolei Zhang
, Yang Feng:
Information-Transport-based Policy for Simultaneous Translation. CoRR abs/2210.12357 (2022) - [i42]Shuhao Gu, Yang Feng:
Improving Zero-Shot Multilingual Translation with Universal Representations and Cross-Mappings. CoRR abs/2210.15851 (2022) - [i41]Jiao Ou, Jinchao Zhang, Yang Feng, Jie Zhou:
Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues. CoRR abs/2210.16838 (2022) - [i40]Shuhao Gu, Bojie Hu, Yang Feng:
Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions. CoRR abs/2211.01542 (2022) - [i39]Chenze Shao, Jinchao Zhang, Jie Zhou, Yang Feng:
Rephrasing the Reference for Non-Autoregressive Machine Translation. CoRR abs/2211.16863 (2022) - 2021
- [j2]Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Jie Zhou:
Sequence-Level Training for Non-Autoregressive Neural Machine Translation. Comput. Linguistics 47(4): 891-925 (2021) - [j1]Zekang Li
, Zongjia Li, Jinchao Zhang, Yang Feng, Jie Zhou:
Bridging Text and Video: A Universal Multimodal Transformer for Audio-Visual Scene-Aware Dialog. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2476-2483 (2021) - [c47]Shaolei Zhang
, Yang Feng, Liangyou Li:
Future-Guided Incremental Transformer for Simultaneous Translation. AAAI 2021: 14428-14436 - [c46]Zekang Li, Jinchao Zhang, Zhengcong Fei, Yang Feng, Jie Zhou:
Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances. ACL/IJCNLP (1) 2021: 128-138 - [c45]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. ACL/IJCNLP (Findings) 2021: 1057-1067 - [c44]Yang Feng, Shuhao Gu, Dengji Guo, Zhengxin Yang, Chenze Shao:
Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation. ACL/IJCNLP (1) 2021: 2862-2872 - [c43]Lei Shen, Fandong Meng, Jinchao Zhang, Yang Feng, Jie Zhou:
GTM: A Generative Triple-wise Model for Conversational Question Generation. ACL/IJCNLP (1) 2021: 3495-3506 - [c42]Wanying Xie, Yang Feng, Shuhao Gu, Dong Yu:
Importance-based Neuron Allocation for Multilingual Neural Machine Translation. ACL/IJCNLP (1) 2021: 5725-5737 - [c41]Jicheng Li, Pengzhi Gao, Xuanfu Wu, Yang Feng, Zhongjun He, Hua Wu, Haifeng Wang:
Mixup Decoding for Diverse Machine Translation. EMNLP (Findings) 2021: 312-320 - [c40]Shaolei Zhang
, Yang Feng:
Modeling Concentrated Cross-Attention for Neural Machine Translation with Gaussian Mixture Model. EMNLP (Findings) 2021: 1401-1411 - [c39]Shaolei Zhang
, Yang Feng:
Universal Simultaneous Machine Translation with Mixture-of-Experts Wait-k Policy. EMNLP (1) 2021: 7306-7317 - [c38]Jicheng Li, Yang Feng, Jiao Ou:
SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text Style Transfer. IJCNN 2021: 1-8 - [c37]Jiao Ou, Yang Feng:
Better Learning and Fusing Multi-Granularity Context Representations for Relevant Response Generation. IJCNN 2021: 1-8 - [c36]Yong Shan, Yang Feng, Chenze Shao:
Modeling Coverage for Non-Autoregressive Neural Machine Translation. IJCNN 2021: 1-8 - [c35]Shuhao Gu, Yang Feng, Wanying Xie:
Pruning-then-Expanding Model for Domain Adaptation of Neural Machine Translation. NAACL-HLT 2021: 3942-3952 - [i38]Zekang Li, Zongjia Li, Jinchao Zhang, Yang Feng, Jie Zhou:
WeChat AI's Submission for DSTC9 Interactive Dialogue Evaluation Track. CoRR abs/2101.07947 (2021) - [i37]Shuhao Gu, Yang Feng, Wanying Xie:
Pruning-then-Expanding Model for Domain Adaptation of Neural Machine Translation. CoRR abs/2103.13678 (2021) - [i36]Yong Shan, Yang Feng, Chenze Shao:
Modeling Coverage for Non-Autoregressive Neural Machine Translation. CoRR abs/2104.11897 (2021) - [i35]Jicheng Li, Yang Feng, Jiao Ou:
SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text Style Transfer. CoRR abs/2104.12977 (2021) - [i34]Zekang Li, Jinchao Zhang, Zhengcong Fei, Yang Feng, Jie Zhou:
Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances. CoRR abs/2106.02227 (2021) - [i33]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. CoRR abs/2106.02228 (2021) - [i32]Lei Shen, Fandong Meng, Jinchao Zhang, Yang Feng, Jie Zhou:
GTM: A Generative Triple-Wise Model for Conversational Question Generation. CoRR abs/2106.03635 (2021) - [i31]Yang Feng, Shuhao Gu, Dengji Guo, Zhengxin Yang, Chenze Shao:
Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation. CoRR abs/2106.06751 (2021) - [i30]Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Jie Zhou:
Sequence-Level Training for Non-Autoregressive Neural Machine Translation. CoRR abs/2106.08122 (2021) - [i29]Wanying Xie, Yang Feng, Shuhao Gu, Dong Yu:
Importance-based Neuron Allocation for Multilingual Neural Machine Translation. CoRR abs/2107.06569 (2021) - [i28]Zhengcong Fei, Zekang Li, Jinchao Zhang, Yang Feng, Jie Zhou:
Towards Expressive Communication with Internet Memes: A New Multimodal Conversation Dataset and Benchmark. CoRR abs/2109.01839 (2021) - [i27]Jicheng Li, Pengzhi Gao, Xuanfu Wu, Yang Feng, Zhongjun He, Hua Wu, Haifeng Wang:
Mixup Decoding for Diverse Machine Translation. CoRR abs/2109.03402 (2021) - [i26]Shaolei Zhang, Yang Feng:
Universal Simultaneous Machine Translation with Mixture-of-Experts Wait-k Policy. CoRR abs/2109.05238 (2021) - [i25]Shaolei Zhang, Yang Feng:
Modeling Concentrated Cross-Attention for Neural Machine Translation with Gaussian Mixture Model. CoRR abs/2109.05244 (2021) - 2020
- [c34]Yang Feng, Wanying Xie, Shuhao Gu, Chenze Shao, Wen Zhang, Zhengxin Yang, Dong Yu:
Modeling Fluency and Faithfulness for Diverse Neural Machine Translation. AAAI 2020: 59-66 - [c33]Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou:
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation. AAAI 2020: 198-205 - [c32]Lei Shen
, Yang Feng:
CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation. ACL 2020: 556-566 - [c31]Yong Shan, Zekang Li, Jinchao Zhang, Fandong Meng, Yang Feng, Cheng Niu, Jie Zhou:
A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking. ACL 2020: 6322-6333 - [c30]Shuhao Gu, Yang Feng:
Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation. COLING 2020: 4315-4326 - [c29]Shuhao Gu, Jinchao Zhang, Fandong Meng, Yang Feng, Wanying Xie, Jie Zhou, Dong Yu:
Token-level Adaptive Training for Neural Machine Translation. EMNLP (1) 2020: 1035-1046 - [c28]Xuanfu Wu, Yang Feng, Chenze Shao:
Generating Diverse Translation from Model Distribution with Dropout. EMNLP (1) 2020: 1088-1097 - [c27]Wen Zhang, Yang Feng, Qun Liu:
Bridging the Gap between Training and Inference for Neural Machine Translation (Extended Abstract). IJCAI 2020: 4790-4794 - [i24]Zekang Li, Zongjia Li, Jinchao Zhang, Yang Feng, Cheng Niu, Jie Zhou:
Bridging Text and Video: A Universal Multimodal Transformer for Video-Audio Scene-Aware Dialog. CoRR abs/2002.00163 (2020) - [i23]Zeyang Lei, Zekang Li, Jinchao Zhang, Fandong Meng, Yang Feng, Yujiu Yang, Cheng Niu, Jie Zhou:
Towards Multimodal Response Generation with Exemplar Augmentation and Curriculum Optimization. CoRR abs/2004.12429 (2020) - [i22]Lei Shen, Yang Feng:
CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation. CoRR abs/2005.00329 (2020) - [i21]Shuhao Gu, Jinchao Zhang, Fandong Meng, Yang Feng, Wanying Xie, Jie Zhou, Dong Yu:
Token-level Adaptive Training for Neural Machine Translation. CoRR abs/2010.04380 (2020) - [i20]Xuanfu Wu, Yang Feng, Chenze Shao:
Generating Diverse Translation from Model Distribution with Dropout. CoRR abs/2010.08178 (2020) - [i19]Shuhao Gu, Yang Feng:
Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation. CoRR abs/2011.00678 (2020) - [i18]Shaolei Zhang, Yang Feng, Liangyou Li:
Future-Guided Incremental Transformer for Simultaneous Translation. CoRR abs/2012.12465 (2020)
2010 – 2019
- 2019
- [c26]Zekang Li, Cheng Niu, Fandong Meng, Yang Feng, Qian Li, Jie Zhou:
Incremental Transformer with Deliberation Decoder for Document Grounded Conversations. ACL (1) 2019: 12-21 - [c25]Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou:
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation. ACL (1) 2019: 3013-3024 - [c24]Wen Zhang, Yang Feng, Fandong Meng, Di You
, Qun Liu:
Bridging the Gap between Training and Inference for Neural Machine Translation. ACL (1) 2019: 4334-4343 - [c23]Zhengxin Yang, Jinchao Zhang, Fandong Meng, Shuhao Gu, Yang Feng, Jie Zhou:
Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation. EMNLP/IJCNLP (1) 2019: 1527-1537 - [c22]Shuhao Gu, Yang Feng, Qun Liu:
Improving Domain Adaptation Translation with Domain Invariant and Specific Information. NAACL-HLT (1) 2019: 3081-3091 - [c21]Haiyang Xue, Yang Feng, Di You
, Wen Zhang, Jingyu Li:
Neural Machine Translation with Bilingual History Involved Attention. NLPCC (2) 2019: 265-275 - [c20]Shuhao Gu, Yang Feng:
Improving Multi-head Attention with Capsule Networks. NLPCC (1) 2019: 314-326 - [c19]Jie Zhu, Shugen Wang, Yanru Wu, Meijing Guan, Yang Feng:
A New Algorithm for Component Decomposition and Type Recognition of Tibetan Syllable. NLPCC (2) 2019: 381-392 - [i17]Shuhao Gu, Yang Feng, Qun Liu:
Improving Domain Adaptation Translation with Domain Invariant and Specific Information. CoRR abs/1904.03879 (2019) - [i16]Wen Zhang, Yang Feng, Fandong Meng, Di You, Qun Liu:
Bridging the Gap between Training and Inference for Neural Machine Translation. CoRR abs/1906.02448 (2019) - [i15]Chenze Shao, Yang Feng, Jinchao Zhang, Fandong Meng, Xilin Chen, Jie Zhou:
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation. CoRR abs/1906.09444 (2019) - [i14]Zekang Li, Cheng Niu, Fandong Meng, Yang Feng, Qian Li, Jie Zhou:
Incremental Transformer with Deliberation Decoder for Document Grounded Conversations. CoRR abs/1907.08854 (2019) - [i13]Shuhao Gu, Yang Feng:
Improving Multi-Head Attention with Capsule Networks. CoRR abs/1909.00188 (2019) - [i12]Zhengxin Yang, Jinchao Zhang, Fandong Meng, Shuhao Gu, Yang Feng, Jie Zhou:
Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation. CoRR abs/1909.00564 (2019) - [i11]Yong Shan, Yang Feng, Jinchao Zhang, Fandong Meng, Wen Zhang:
Improving Bidirectional Decoding with Dynamic Target Semantics in Neural Machine Translation. CoRR abs/1911.01597 (2019) - [i10]Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou:
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation. CoRR abs/1911.09320 (2019) - [i9]Yang Feng, Wanying Xie, Shuhao Gu, Chenze Shao, Wen Zhang, Zhengxin Yang, Dong Yu:
Modeling Fluency and Faithfulness for Diverse Neural Machine Translation. CoRR abs/1912.00178 (2019) - 2018
- [c18]Shuman Liu, Hongshen Chen, Zhaochun Ren, Yang Feng, Qun Liu, Dawei Yin:
Knowledge Diffusion for Neural Dialogue Generation. ACL (1) 2018: 1489-1498 - [c17]Wen Zhang, Jiawei Hu, Yang Feng, Qun Liu:
Refining Source Representations with Relation Networks for Neural Machine Translation. COLING 2018: 1292-1303 - [c16]Wen Zhang, Liang Huang, Yang Feng, Lei Shen, Qun Liu:
Speeding Up Neural Machine Translation Decoding by Cube Pruning. EMNLP 2018: 4284-4294 - [c15]Chenze Shao, Xilin Chen, Yang Feng:
Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation. EMNLP 2018: 4778-4784 - [i8]Wen Zhang, Jiawei Hu, Yang Feng, Qun Liu:
Refining Source Representations with Relation Networks for Neural Machine Translation. CoRR abs/1805.11154 (2018) - [i7]Wen Zhang, Liang Huang, Yang Feng, Lei Shen, Qun Liu:
Speeding Up Neural Machine Translation Decoding by Cube Pruning. CoRR abs/1809.02992 (2018) - [i6]Chenze Shao, Yang Feng, Xilin Chen:
Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation. CoRR abs/1809.03132 (2018) - [i5]Xiang Li, Haiyang Xue, Wei Chen, Yang Liu, Yang Feng, Qun Liu:
Improving the Robustness of Speech Translation. CoRR abs/1811.00728 (2018) - 2017
- [c14]Jiyuan Zhang, Yang Feng, Dong Wang, Yang Wang, Andrew Abel, Shiyue Zhang, Andi Zhang:
Flexible and Creative Chinese Poetry Generation Using Neural Memory. ACL (1) 2017: 1364-1373 - [c13]Yang Feng, Shiyue Zhang, Andi Zhang, Dong Wang, Andrew Abel:
Memory-augmented Neural Machine Translation. EMNLP 2017: 1390-1399 - [c12]Zhiyuan Tang, Ying Shi, Dong Wang, Yang Feng, Shiyue Zhang:
Memory visualization for gated recurrent neural networks in speech recognition. ICASSP 2017: 2736-2740 - [i4]Jiyuan Zhang, Yang Feng, Dong Wang, Yang Wang, Andrew Abel, Shiyue Zhang, Andi Zhang:
Flexible and Creative Chinese Poetry Generation Using Neural Memory. CoRR abs/1705.03773 (2017) - [i3]Yang Feng, Shiyue Zhang, Andi Zhang, Dong Wang, Andrew Abel:
Memory-augmented Neural Machine Translation. CoRR abs/1708.02005 (2017) - 2016
- [c11]Aiting Liu, Chao Xing, Yang Feng, Dong Wang:
Learning ordered word representations with γ-decay dropout. APSIPA 2016: 1-5 - [i2]Lantian Li, Zhiyuan Tang, Dong Wang, Yang Feng, Shiyue Zhang:
Collaborative Learning for Language and Speaker Recognition. CoRR abs/1609.08442 (2016) - [i1]Zhiyuan Tang, Ying Shi, Dong Wang, Yang Feng, Shiyue Zhang:
Memory Visualization for Gated Recurrent Neural Networks in Speech Recognition. CoRR abs/1609.08789 (2016) - 2014
- [c10]Yang Feng, Trevor Cohn, Xinkai Du:
Factored Markov Translation with Robust Modeling. CoNLL 2014: 151-159 - 2013
- [c9]Yang Feng, Trevor Cohn:
A Markov Model of Machine Translation using Non-parametric Bayesian Inference. ACL (1) 2013: 333-342 - 2012
- [c8]Yang Feng, Dongdong Zhang, Mu Li, Qun Liu:
Hierarchical Chunk-to-String Translation. ACL (1) 2012: 950-958 - [c7]Yang Feng, Yang Liu, Qun Liu, Trevor Cohn:
Left-to-Right Tree-to-String Decoding with Prediction. EMNLP-CoNLL 2012: 1191-1200 - 2010
- [c6]Yang Feng, Haitao Mi, Yang Liu, Qun Liu:
An Efficient Shift-Reduce Decoding Algorithm for Phrased-Based Machine Translation. COLING (Posters) 2010: 285-293
2000 – 2009
- 2009
- [c5]Yang Liu, Haitao Mi, Yang Feng, Qun Liu:
Joint Decoding with Multiple Translation Models. ACL/IJCNLP 2009: 576-584 - [c4]Yang Feng, Yang Liu, Haitao Mi, Qun Liu, Yajuan Lü:
Lattice-based System Combination for Statistical Machine Translation. EMNLP 2009: 1105-1113 - [c3]Haitao Mi, Yang Liu, Tian Xia, Xinyan Xiao, Yang Feng, Jun Xie, Hao Xiong, Zhaopeng Tu, Daqi Zheng, Yajuan Lü, Qun Liu:
The ICT statistical machine translation systems for the IWSLT 2009. IWSLT 2009: 55-59 - [c2]Haitao Mi, Yang Liu, Tian Xia, Xinyan Xiao, Yang Feng, Jun Xie, Hao Xiong, Zhaopeng Tu, Daqi Zheng, Yanjuan Lu, Qun Liu:
The ICT statistical machine translation system for the IWSLT 2009. IWSLT (Evaluation Campaign) 2009 - 2008
- [c1]Yang Liu, Zhongjun He, Haitao Mi, Yun Huang, Yang Feng, Wenbin Jiang, Yajuan Lü, Qun Liu:
The ICT system description for IWSLT 2008. IWSLT 2008: 52-57
Coauthor Index
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