Stop the war!Остановите войну!
for scientists:
Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDZhaopeng Tu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j11]Xinwei Geng, Longyue Wang, Xing Wang, Mingtao Yang, Xiaocheng Feng, Bing Qin
, Zhaopeng Tu:
Learning to refine source representations for neural machine translation. Int. J. Mach. Learn. Cybern. 13(8): 2199-2212 (2022)- [j10]Wenxiang Jiao, Xing Wang, Shilin He, Zhaopeng Tu, Irwin King, Michael R. Lyu:
Exploiting Inactive Examples for Natural Language Generation With Data Rejuvenation. IEEE ACM Trans. Audio Speech Lang. Process. 30: 931-943 (2022) - [c83]Liang Ding, Longyue Wang, Shuming Shi, Dacheng Tao, Zhaopeng Tu:
Redistributing Low-Frequency Words: Making the Most of Monolingual Data in Non-Autoregressive Translation. ACL (1) 2022: 2417-2426 - [c82]Wenxuan Wang, Wenxiang Jiao, Yongchang Hao, Xing Wang, Shuming Shi, Zhaopeng Tu, Michael R. Lyu:
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation. ACL (1) 2022: 2591-2600 - [c81]Zhiwei He, Xing Wang, Rui Wang, Shuming Shi, Zhaopeng Tu:
Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation. ACL (1) 2022: 6611-6623 - [i67]Zhiwei He, Xing Wang, Rui Wang, Shuming Shi, Zhaopeng Tu:
Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation. CoRR abs/2203.08394 (2022) - [i66]Wenxuan Wang, Wenxiang Jiao, Yongchang Hao, Xing Wang, Shuming Shi, Zhaopeng Tu, Michael R. Lyu:
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation. CoRR abs/2203.08442 (2022) - [i65]Wenxuan Wang, Wenxiang Jiao, Shuo Wang, Zhaopeng Tu, Michael R. Lyu:
Understanding and Mitigating the Uncertainty in Zero-Shot Translation. CoRR abs/2205.10068 (2022) - [i64]Shuo Wang, Peng Li, Zhixing Tan, Zhaopeng Tu, Maosong Sun, Yang Liu:
A Template-based Method for Constrained Neural Machine Translation. CoRR abs/2205.11255 (2022) - 2021
- [j9]Jian Li, Xing Wang, Zhaopeng Tu, Michael R. Lyu:
On the diversity of multi-head attention. Neurocomputing 454: 14-24 (2021) - [j8]Baosong Yang, Longyue Wang, Derek F. Wong, Shuming Shi, Zhaopeng Tu:
Context-aware Self-Attention Networks for Natural Language Processing. Neurocomputing 458: 157-169 (2021) - [j7]Xintong Li, Lemao Liu, Zhaopeng Tu, Guanlin Li, Shuming Shi, Max Q.-H. Meng:
Attending From Foresight: A Novel Attention Mechanism for Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2606-2616 (2021) - [c80]Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu:
Progressive Multi-Granularity Training for Non-Autoregressive Translation. ACL/IJCNLP (Findings) 2021: 2797-2803 - [c79]Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael R. Lyu, Irwin King:
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation. ACL/IJCNLP (1) 2021: 2840-2850 - [c78]Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu:
Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation. ACL/IJCNLP (1) 2021: 3431-3441 - [c77]Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu:
On the Copying Behaviors of Pre-Training for Neural Machine Translation. ACL/IJCNLP (Findings) 2021: 4265-4275 - [c76]Shuo Wang, Zhaopeng Tu, Zhixing Tan, Shuming Shi, Maosong Sun, Yang Liu:
On the Language Coverage Bias for Neural Machine Translation. ACL/IJCNLP (Findings) 2021: 4778-4790 - [c75]Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu:
On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation. EMNLP (Findings) 2021: 2900-2907 - [c74]Jie Hao, Linfeng Song, Liwei Wang, Kun Xu, Zhaopeng Tu, Dong Yu:
RAST: Domain-Robust Dialogue Rewriting as Sequence Tagging. EMNLP (1) 2021: 4913-4924 - [c73]Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Zhaopeng Tu:
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning. ICLR 2021 - [c72]Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu:
Understanding and Improving Lexical Choice in Non-Autoregressive Translation. ICLR 2021 - [c71]Cunxiao Du, Zhaopeng Tu, Jing Jiang:
Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation. ICML 2021: 2849-2859 - [c70]Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu, Xing Wang:
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation. NAACL-HLT 2021: 3989-3996 - [c69]Longyue Wang, Mu Li, Fangxu Liu, Shuming Shi, Zhaopeng Tu, Xing Wang, Shuangzhi Wu, Jiali Zeng, Wen Zhang:
Tencent Translation System for the WMT21 News Translation Task. WMT@EMNLP 2021: 216-224 - [c68]Xing Wang, Zhaopeng Tu, Shuming Shi:
Tencent AI Lab Machine Translation Systems for the WMT21 Biomedical Translation Task. WMT@EMNLP 2021: 874-878 - [i63]Guoping Huang, Lemao Liu, Xing Wang, Longyue Wang, Huayang Li, Zhaopeng Tu, Chengyan Huang, Shuming Shi:
TranSmart: A Practical Interactive Machine Translation System. CoRR abs/2105.13072 (2021) - [i62]Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu:
Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation. CoRR abs/2106.00903 (2021) - [i61]Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael R. Lyu, Irwin King:
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation. CoRR abs/2106.00941 (2021) - [i60]Shuo Wang, Zhaopeng Tu, Zhixing Tan, Shuming Shi, Maosong Sun, Yang Liu:
On the Language Coverage Bias for Neural Machine Translation. CoRR abs/2106.03297 (2021) - [i59]Cunxiao Du, Zhaopeng Tu, Jing Jiang:
Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation. CoRR abs/2106.05093 (2021) - [i58]Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu:
Progressive Multi-Granularity Training for Non-Autoregressive Translation. CoRR abs/2106.05546 (2021) - [i57]Shuo Wang, Zhaopeng Tu, Zhixing Tan, Wenxuan Wang, Maosong Sun, Yang Liu:
Language Models are Good Translators. CoRR abs/2106.13627 (2021) - [i56]Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu:
On the Copying Behaviors of Pre-Training for Neural Machine Translation. CoRR abs/2107.08212 (2021) - [i55]Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu:
On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation. CoRR abs/2110.01811 (2021) - 2020
- [j6]Zi-Yi Dou, Xing Wang, Shuming Shi, Zhaopeng Tu:
Exploiting deep representations for natural language processing. Neurocomputing 386: 1-7 (2020) - [c67]Jian Li, Xing Wang, Baosong Yang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu:
Neuron Interaction Based Representation Composition for Neural Machine Translation. AAAI 2020: 8204-8211 - [c66]Yong Wang, Longyue Wang, Shuming Shi, Victor O. K. Li, Zhaopeng Tu:
Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks. AAAI 2020: 9233-9241 - [c65]Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu:
How Does Selective Mechanism Improve Self-Attention Networks? ACL 2020: 2986-2995 - [c64]Shuo Wang, Zhaopeng Tu, Shuming Shi, Yang Liu:
On the Inference Calibration of Neural Machine Translation. ACL 2020: 3070-3079 - [c63]Yongquan He, Zhihan Wang, Peng Zhang, Zhaopeng Tu, Zhaochun Ren:
VN Network: Embedding Newly Emerging Entities with Virtual Neighbors. CIKM 2020: 505-514 - [c62]Deyu Zhou, Shuangzhi Wu, Qing Wang, Jun Xie, Zhaopeng Tu, Mu Li:
Emotion Classification by Jointly Learning to Lexiconize and Classify. COLING 2020: 3235-3245 - [c61]Liang Ding, Longyue Wang, Di Wu, Dacheng Tao, Zhaopeng Tu:
Context-Aware Cross-Attention for Non-Autoregressive Translation. COLING 2020: 4396-4402 - [c60]Qintong Li, Hongshen Chen, Zhaochun Ren, Pengjie Ren, Zhaopeng Tu, Zhumin Chen:
EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation. COLING 2020: 4454-4466 - [c59]Wenxuan Wang, Zhaopeng Tu:
Rethinking the Value of Transformer Components. COLING 2020: 6019-6029 - [c58]Yong Wang, Longyue Wang, Victor O. K. Li, Zhaopeng Tu:
On the Sparsity of Neural Machine Translation Models. EMNLP (1) 2020: 1060-1066 - [c57]Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu:
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation. EMNLP (1) 2020: 2255-2266 - [c56]Yilin Yang, Longyue Wang, Shuming Shi, Prasad Tadepalli, Stefan Lee, Zhaopeng Tu:
On the Sub-Layer Functionalities of Transformer Decoder. EMNLP (Findings) 2020: 4799-4811 - [c55]Jinhuan Liu, Xuemeng Song, Zhaochun Ren, Liqiang Nie, Zhaopeng Tu, Jun Ma:
Auxiliary Template-Enhanced Generative Compatibility Modeling. IJCAI 2020: 3508-3514 - [c54]Chuan Meng, Pengjie Ren, Zhumin Chen, Weiwei Sun, Zhaochun Ren, Zhaopeng Tu, Maarten de Rijke:
DukeNet: A Dual Knowledge Interaction Network for Knowledge-Grounded Conversation. SIGIR 2020: 1151-1160 - [c53]Shuangzhi Wu, Xing Wang, Longyue Wang, Fangxu Liu, Jun Xie, Zhaopeng Tu, Shuming Shi, Mu Li:
Tencent Neural Machine Translation Systems for the WMT20 News Translation Task. WMT@EMNLP 2020: 313-319 - [c52]Longyue Wang, Zhaopeng Tu, Xing Wang, Li Ding, Liang Ding, Shuming Shi:
Tencent AI Lab Machine Translation Systems for WMT20 Chat Translation Task. WMT@EMNLP 2020: 483-491 - [c51]Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi:
Tencent AI Lab Machine Translation Systems for the WMT20 Biomedical Translation Task. WMT@EMNLP 2020: 881-886 - [i54]Shilin He, Xing Wang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu:
Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models. CoRR abs/2004.13270 (2020) - [i53]Shuo Wang, Zhaopeng Tu, Shuming Shi, Yang Liu:
On the Inference Calibration of Neural Machine Translation. CoRR abs/2005.00963 (2020) - [i52]Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu:
How Does Selective Mechanism Improve Self-Attention Networks? CoRR abs/2005.00979 (2020) - [i51]Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu:
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation. CoRR abs/2010.02552 (2020) - [i50]Yong Wang, Longyue Wang, Victor O. K. Li, Zhaopeng Tu:
On the Sparsity of Neural Machine Translation Models. CoRR abs/2010.02646 (2020) - [i49]Yilin Yang, Longyue Wang, Shuming Shi, Prasad Tadepalli, Stefan Lee, Zhaopeng Tu:
On the Sub-Layer Functionalities of Transformer Decoder. CoRR abs/2010.02648 (2020) - [i48]Yongchang Hao, Shilin He, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu, Xing Wang:
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation. CoRR abs/2010.12868 (2020) - [i47]Liang Ding, Longyue Wang, Di Wu, Dacheng Tao, Zhaopeng Tu:
Context-Aware Cross-Attention for Non-Autoregressive Translation. CoRR abs/2011.00770 (2020) - [i46]Wenxuan Wang, Zhaopeng Tu:
Rethinking the Value of Transformer Components. CoRR abs/2011.03803 (2020) - [i45]Jie Hao, Linfeng Song, Liwei Wang, Kun Xu, Zhaopeng Tu, Dong Yu:
Robust Dialogue Utterance Rewriting as Sequence Tagging. CoRR abs/2012.14535 (2020) - [i44]Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu:
Understanding and Improving Lexical Choice in Non-Autoregressive Translation. CoRR abs/2012.14583 (2020) - [i43]Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Zhaopeng Tu:
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning. CoRR abs/2012.14768 (2020)
2010 – 2019
- 2019
- [c50]Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Longyue Wang, Shuming Shi, Tong Zhang:
Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement. AAAI 2019: 86-93 - [c49]Baosong Yang, Jian Li, Derek F. Wong, Lidia S. Chao, Xing Wang, Zhaopeng Tu:
Context-Aware Self-Attention Networks. AAAI 2019: 387-394 - [c48]Xiang Kong, Zhaopeng Tu, Shuming Shi, Eduard H. Hovy, Tong Zhang:
Neural Machine Translation with Adequacy-Oriented Learning. AAAI 2019: 6618-6625 - [c47]Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao, Zhaopeng Tu:
Assessing the Ability of Self-Attention Networks to Learn Word Order. ACL (1) 2019: 3635-3644 - [c46]Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi:
Exploiting Sentential Context for Neural Machine Translation. ACL (1) 2019: 6197-6203 - [c45]Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu:
Multi-Granularity Self-Attention for Neural Machine Translation. EMNLP/IJCNLP (1) 2019: 887-897 - [c44]Longyue Wang, Zhaopeng Tu, Xing Wang, Shuming Shi:
One Model to Learn Both: Zero Pronoun Prediction and Translation. EMNLP/IJCNLP (1) 2019: 921-930 - [c43]Zaixiang Zheng, Shujian Huang, Zhaopeng Tu, Xin-Yu Dai, Jiajun Chen:
Dynamic Past and Future for Neural Machine Translation. EMNLP/IJCNLP (1) 2019: 931-941 - [c42]Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael R. Lyu, Shuming Shi:
Towards Understanding Neural Machine Translation with Word Importance. EMNLP/IJCNLP (1) 2019: 953-962 - [c41]Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu:
Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons. EMNLP/IJCNLP (1) 2019: 1336-1341 - [c40]Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi:
Self-Attention with Structural Position Representations. EMNLP/IJCNLP (1) 2019: 1403-1409 - [c39]Deng Cai, Yan Wang, Wei Bi, Zhaopeng Tu, Xiaojiang Liu, Shuming Shi:
Retrieval-guided Dialogue Response Generation via a Matching-to-Generation Framework. EMNLP/IJCNLP (1) 2019: 1866-1875 - [c38]Jie Hao, Xing Wang, Baosong Yang, Longyue Wang, Jinfeng Zhang, Zhaopeng Tu:
Modeling Recurrence for Transformer. NAACL-HLT (1) 2019: 1198-1207 - [c37]Deng Cai, Yan Wang, Wei Bi, Zhaopeng Tu, Xiaojiang Liu, Wai Lam, Shuming Shi:
Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory. NAACL-HLT (1) 2019: 1219-1228 - [c36]Jian Li, Baosong Yang, Zi-Yi Dou, Xing Wang, Michael R. Lyu, Zhaopeng Tu:
Information Aggregation for Multi-Head Attention with Routing-by-Agreement. NAACL-HLT (1) 2019: 3566-3575 - [c35]Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao, Zhaopeng Tu:
Convolutional Self-Attention Networks. NAACL-HLT (1) 2019: 4040-4045 - [i42]Baosong Yang, Jian Li, Derek F. Wong, Lidia S. Chao, Xing Wang, Zhaopeng Tu:
Context-Aware Self-Attention Networks. CoRR abs/1902.05766 (2019) - [i41]Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Longyue Wang, Shuming Shi, Tong Zhang:
Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement. CoRR abs/1902.05770 (2019) - [i40]Jie Hao, Xing Wang, Baosong Yang, Longyue Wang, Jinfeng Zhang, Zhaopeng Tu:
Modeling Recurrence for Transformer. CoRR abs/1904.03092 (2019) - [i39]Jian Li, Baosong Yang, Zi-Yi Dou, Xing Wang, Michael R. Lyu, Zhaopeng Tu:
Information Aggregation for Multi-Head Attention with Routing-by-Agreement. CoRR abs/1904.03100 (2019) - [i38]Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao, Zhaopeng Tu:
Convolutional Self-Attention Networks. CoRR abs/1904.03107 (2019) - [i37]Zaixiang Zheng, Shujian Huang, Zhaopeng Tu, Xin-Yu Dai, Jiajun Chen:
Dynamic Past and Future for Neural Machine Translation. CoRR abs/1904.09646 (2019) - [i36]Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao, Zhaopeng Tu:
Assessing the Ability of Self-Attention Networks to Learn Word Order. CoRR abs/1906.00592 (2019) - [i35]Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi:
Exploiting Sentential Context for Neural Machine Translation. CoRR abs/1906.01268 (2019) - [i34]Shilin He, Zhaopeng Tu, Xing Wang, Longyue Wang, Michael R. Lyu, Shuming Shi:
Towards Understanding Neural Machine Translation with Word Importance. CoRR abs/1909.00326 (2019) - [i33]Longyue Wang, Zhaopeng Tu, Xing Wang, Shuming Shi:
One Model to Learn Both: Zero Pronoun Prediction and Translation. CoRR abs/1909.00369 (2019) - [i32]Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi:
Self-Attention with Structural Position Representations. CoRR abs/1909.00383 (2019) - [i31]Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu:
Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons. CoRR abs/1909.01562 (2019) - [i30]Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu:
Multi-Granularity Self-Attention for Neural Machine Translation. CoRR abs/1909.02222 (2019) - [i29]Qintong Li, Hongshen Chen, Zhaochun Ren, Zhumin Chen, Zhaopeng Tu, Jun Ma:
EmpGAN: Multi-resolution Interactive Empathetic Dialogue Generation. CoRR abs/1911.08698 (2019) - [i28]Jian Li, Xing Wang, Baosong Yang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu:
Neuron Interaction Based Representation Composition for Neural Machine Translation. CoRR abs/1911.09877 (2019) - [i27]Yong Wang, Longyue Wang, Shuming Shi, Victor O. K. Li, Zhaopeng Tu:
Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks. CoRR abs/1911.09912 (2019) - 2018
- [j5]Zaixiang Zheng, Hao Zhou, Shujian Huang, Lili Mou, Xinyu Dai, Jiajun Chen, Zhaopeng Tu:
Modeling Past and Future for Neural Machine Translation. Trans. Assoc. Comput. Linguistics 6: 145-157 (2018) - [j4]Zhaopeng Tu, Yang Liu, Shuming Shi, Tong Zhang:
Learning to Remember Translation History with a Continuous Cache. Trans. Assoc. Comput. Linguistics 6: 407-420 (2018) - [j3]Xing Wang, Zhaopeng Tu, Min Zhang:
Incorporating Statistical Machine Translation Word Knowledge Into Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 26(12): 2255-2266 (2018) - [c34]Longyue Wang, Zhaopeng Tu, Shuming Shi, Tong Zhang, Yvette Graham, Qun Liu:
Translating Pro-Drop Languages With Reconstruction Models. AAAI 2018: 4937-4945 - [c33]Yong Cheng, Zhaopeng Tu, Fandong Meng, Junjie Zhai, Yang Liu:
Towards Robust Neural Machine Translation. ACL (1) 2018: 1756-1766 - [c32]Jian Li, Zhaopeng Tu, Baosong Yang, Michael R. Lyu, Tong Zhang:
Multi-Head Attention with Disagreement Regularization. EMNLP 2018: 2897-2903 - [c31]Longyue Wang, Zhaopeng Tu, Andy Way, Qun Liu:
Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism. EMNLP 2018: 2997-3002 - [c30]Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Shuming Shi, Tong Zhang:
Exploiting Deep Representations for Neural Machine Translation. EMNLP 2018: 4253-4262 - [c29]Baosong Yang, Zhaopeng Tu, Derek F. Wong, Fandong Meng, Lidia S. Chao, Tong Zhang:
Modeling Localness for Self-Attention Networks. EMNLP 2018: 4449-4458 - [c28]Fandong Meng, Zhaopeng Tu, Yong Cheng, Haiyang Wu, Junjie Zhai, Yuekui Yang, Di Wang:
Neural Machine Translation with Key-Value Memory-Augmented Attention. IJCAI 2018: 2574-2580 - [c27]Xintong Li, Lemao Liu, Zhaopeng Tu, Shuming Shi, Max Meng:
Target Foresight Based Attention for Neural Machine Translation. NAACL-HLT 2018: 1380-1390 - [i26]Longyue Wang, Zhaopeng Tu, Shuming Shi, Tong Zhang, Yvette Graham, Qun Liu:
Translating Pro-Drop Languages with Reconstruction Models. CoRR abs/1801.03257 (2018) - [i25]Zhaopeng Tu, Xiaojiang Liu, Lei Shu, Shuming Shi:
Generative Stock Question Answering. CoRR abs/1804.07942 (2018) - [i24]Yong Cheng, Zhaopeng Tu, Fandong Meng, Junjie Zhai, Yang Liu:
Towards Robust Neural Machine Translation. CoRR abs/1805.06130 (2018) - [i23]Fandong Meng, Zhaopeng Tu, Yong Cheng, Haiyang Wu, Junjie Zhai, Yuekui Yang, Di Wang:
Neural Machine Translation with Key-Value Memory-Augmented Attention. CoRR abs/1806.11249 (2018) - [i22]Deng Cai, Yan Wang, Victoria Bi, Zhaopeng Tu, Xiaojiang Liu, Wai Lam, Shuming Shi:
Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory. CoRR abs/1809.05296 (2018) - [i21]Longyue Wang, Zhaopeng Tu, Andy Way, Qun Liu:
Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism. CoRR abs/1810.06195 (2018) - [i20]Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Shuming Shi, Tong Zhang:
Exploiting Deep Representations for Neural Machine Translation. CoRR abs/1810.10181 (2018) - [i19]Baosong Yang, Zhaopeng Tu, Derek F. Wong, Fandong Meng, Lidia S. Chao, Tong Zhang:
Modeling Localness for Self-Attention Networks. CoRR abs/1810.10182 (2018) - [i18]Jian Li, Zhaopeng Tu, Baosong Yang, Michael R. Lyu, Tong Zhang:
Multi-Head Attention with Disagreement Regularization. CoRR abs/1810.10183 (2018) - [i17]Xiang Kong, Zhaopeng Tu, Shuming Shi, Eduard H. Hovy, Tong Zhang:
Neural Machine Translation with Adequacy-Oriented Learning. CoRR abs/1811.08541 (2018) - [i16]Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu:
Learning to Refine Source Representations for Neural Machine Translation. CoRR abs/1812.10230 (2018) - 2017
- [j2]Longyue Wang, Zhaopeng Tu, Xiaojun Zhang, Siyou Liu, Hang Li, Andy Way, Qun Liu:
A novel and robust approach for pro-drop language translation. Mach. Transl. 31(1-2): 65-87 (2017) - [j1]Zhaopeng Tu, Yang Liu, Zhengdong Lu, Xiaohua Liu, Hang Li:
Context Gates for Neural Machine Translation. Trans. Assoc. Comput. Linguistics 5: 87-99 (2017) - [c26]Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, Hang Li:
Neural Machine Translation with Reconstruction. AAAI 2017: 3097-3103 - [c25]Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang:
Neural Machine Translation Advised by Statistical Machine Translation. AAAI 2017: 3330-3336 - [c24]Hao Zhou, Zhaopeng Tu, Shujian Huang, Xiaohua Liu, Hang Li, Jiajun Chen:
Chunk-Based Bi-Scale Decoder for Neural Machine Translation. ACL (2) 2017: 580-586 - [c23]Junhui Li, Deyi Xiong, Zhaopeng Tu, Muhua Zhu, Min Zhang, Guodong Zhou:
Modeling Source Syntax for Neural Machine Translation. ACL (1) 2017: 688-697 - [c22]Xing Wang, Zhaopeng Tu, Deyi Xiong, Min Zhang:
Translating Phrases in Neural Machine Translation. EMNLP 2017: 1421-1431 - [c21]