Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDZhaopeng Tu
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2020
[j6]Zi-Yi Dou, Xing Wang, Shuming Shi, Zhaopeng Tu:
Exploiting deep representations for natural language processing. Neurocomputing 386: 1-7 (2020)- [c66]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 - [c65]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 - [c64]Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu:
How Does Selective Mechanism Improve Self-Attention Networks? ACL 2020: 2986-2995 - [c63]Shuo Wang, Zhaopeng Tu, Shuming Shi, Yang Liu:
On the Inference Calibration of Neural Machine Translation. ACL 2020: 3070-3079 - [c62]Yongquan He, Zhihan Wang, Peng Zhang, Zhaopeng Tu, Zhaochun Ren:
VN Network: Embedding Newly Emerging Entities with Virtual Neighbors. CIKM 2020: 505-514 - [c61]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 - [c60]Liang Ding, Longyue Wang, Di Wu, Dacheng Tao, Zhaopeng Tu:
Context-Aware Cross-Attention for Non-Autoregressive Translation. COLING 2020: 4396-4402 - [c59]Qintong Li, Hongshen Chen, Zhaochun Ren, Pengjie Ren, Zhaopeng Tu, Zhumin Chen:
EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation. COLING 2020: 4454-4466 - [c58]Wenxuan Wang, Zhaopeng Tu:
Rethinking the Value of Transformer Components. COLING 2020: 6019-6029 - [c57]Yong Wang, Longyue Wang, Victor O. K. Li, Zhaopeng Tu:
On the Sparsity of Neural Machine Translation Models. EMNLP (1) 2020: 1060-1066 - [c56]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 - [c55]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 - [c54]Jinhuan Liu, Xuemeng Song, Zhaochun Ren, Liqiang Nie, Zhaopeng Tu, Jun Ma:
Auxiliary Template-Enhanced Generative Compatibility Modeling. IJCAI 2020: 3508-3514 - [c53]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 - [c52]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 - [c51]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 - [c50]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
- [c49]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 - [c48]Baosong Yang, Jian Li, Derek F. Wong, Lidia S. Chao, Xing Wang, Zhaopeng Tu:
Context-Aware Self-Attention Networks. AAAI 2019: 387-394 - [c47]Xiang Kong, Zhaopeng Tu, Shuming Shi, Eduard H. Hovy, Tong Zhang:
Neural Machine Translation with Adequacy-Oriented Learning. AAAI 2019: 6618-6625 - [c46]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 - [c45]Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi:
Exploiting Sentential Context for Neural Machine Translation. ACL (1) 2019: 6197-6203 - [c44]Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu:
Multi-Granularity Self-Attention for Neural Machine Translation. EMNLP/IJCNLP (1) 2019: 887-897 - [c43]Longyue Wang, Zhaopeng Tu, Xing Wang, Shuming Shi:
One Model to Learn Both: Zero Pronoun Prediction and Translation. EMNLP/IJCNLP (1) 2019: 921-930 - [c42]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 - [c41]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 - [c40]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 - [c39]Xing Wang, Zhaopeng Tu, Longyue Wang, Shuming Shi:
Self-Attention with Structural Position Representations. EMNLP/IJCNLP (1) 2019: 1403-1409 - [c38]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 - [c37]Jie Hao, Xing Wang, Baosong Yang, Longyue Wang, Jinfeng Zhang, Zhaopeng Tu:
Modeling Recurrence for Transformer. NAACL-HLT (1) 2019: 1198-1207 - [c36]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 - [c35]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 - [c34]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) - [c33]Longyue Wang, Zhaopeng Tu, Shuming Shi, Tong Zhang, Yvette Graham, Qun Liu:
Translating Pro-Drop Languages With Reconstruction Models. AAAI 2018: 4937-4945 - [c32]Yong Cheng, Zhaopeng Tu, Fandong Meng, Junjie Zhai, Yang Liu:
Towards Robust Neural Machine Translation. ACL (1) 2018: 1756-1766 - [c31]Jian Li, Zhaopeng Tu, Baosong Yang, Michael R. Lyu, Tong Zhang:
Multi-Head Attention with Disagreement Regularization. EMNLP 2018: 2897-2903 - [c30]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 - [c29]Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Shuming Shi, Tong Zhang:
Exploiting Deep Representations for Neural Machine Translation. EMNLP 2018: 4253-4262 - [c28]Baosong Yang, Zhaopeng Tu, Derek F. Wong, Fandong Meng, Lidia S. Chao, Tong Zhang:
Modeling Localness for Self-Attention Networks. EMNLP 2018: 4449-4458 - [c27]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 - [c26]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) - [c25]Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, Hang Li:
Neural Machine Translation with Reconstruction. AAAI 2017: 3097-3103 - [c24]Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang:
Neural Machine Translation Advised by Statistical Machine Translation. AAAI 2017: 3330-3336 - [c23]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 - [c22]Junhui Li, Deyi Xiong, Zhaopeng Tu, Muhua Zhu, Min Zhang, Guodong Zhou:
Modeling Source Syntax for Neural Machine Translation. ACL (1) 2017: 688-697 - [c21]Xing Wang, Zhaopeng Tu, Deyi Xiong, Min Zhang:
Translating Phrases in Neural Machine Translation. EMNLP 2017: 1421-1431 - [c20]Longyue Wang, Zhaopeng Tu, Andy Way, Qun Liu:
Exploiting Cross-Sentence Context for Neural Machine Translation. EMNLP 2017: 2826-2831 - [c19]Longyue Wang, Jinhua Du, Liangyou Li, Zhaopeng Tu, Andy Way, Qun Liu:
Semantics-Enhanced Task-Oriented Dialogue Translation: A Case Study on Hotel Booking. IJCNLP (System Demonstrations) 2017: 33-36 - [i15]Longyue Wang, Zhaopeng Tu, Andy Way, Qun Liu:
Exploiting Cross-Sentence Context for Neural Machine Translation. CoRR abs/1704.04347 (2017) - [i14]Junhui Li, Deyi Xiong, Zhaopeng Tu, Muhua Zhu, Min Zhang, Guodong Zhou:
Modeling Source Syntax for Neural Machine Translation. CoRR abs/1705.01020 (2017) - [i13]Hao Zhou, Zhaopeng Tu, Shujian Huang, Xiaohua Liu, Hang Li, Jiajun Chen:
Chunk-Based Bi-Scale Decoder for Neural Machine Translation. CoRR abs/1705.01452 (2017) - [i12]Xing Wang, Zhaopeng Tu, Deyi Xiong, Min Zhang:
Translating Phrases in Neural Machine Translation. CoRR abs/1708.01980 (2017) - [i11]Zhaopeng Tu, Yang Liu, Shuming Shi, Tong Zhang:
Learning to Remember Translation History with a Continuous Cache. CoRR abs/1711.09367 (2017) - [i10]Zaixiang Zheng, Hao Zhou, Shujian Huang, Lili Mou, Xinyu Dai, Jiajun Chen, Zhaopeng Tu:
Modeling Past and Future for Neural Machine Translation. CoRR abs/1711.09502 (2017) - 2016
- [c18]Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, Hang Li:
Modeling Coverage for Neural Machine Translation. ACL (1) 2016 - [c17]Longyue Wang, Xiaojun Zhang, Zhaopeng Tu, Hang Li, Qun Liu:
Dropped pronoun generation for dialogue machine translation. ICASSP 2016: 6110-6114 - [c16]Baishakhi Ray, Vincent Hellendoorn, Saheel Godhane, Zhaopeng Tu, Alberto Bacchelli, Premkumar T. Devanbu:
On the "naturalness" of buggy code. ICSE 2016: 428-439 - [c15]Anh Tuan Nguyen, Zhaopeng Tu, Tien N. Nguyen:
Do Contexts Help in Phrase-Based, Statistical Source Code Migration? ICSME 2016: 155-165 - [c14]Longyue Wang, Xiaojun Zhang, Zhaopeng Tu, Andy Way, Qun Liu:
Automatic Construction of Discourse Corpora for Dialogue Translation. LREC 2016 - [c13]Longyue Wang, Zhaopeng Tu, Xiaojun Zhang, Hang Li, Andy Way, Qun Liu:
A Novel Approach to Dropped Pronoun Translation. HLT-NAACL 2016: 983-993 - [i9]Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, Hang Li:
Coverage-based Neural Machine Translation. CoRR abs/1601.04811 (2016) - [i8]Longyue Wang, Zhaopeng Tu, Xiaojun Zhang, Hang Li, Andy Way, Qun Liu:
A Novel Approach to Dropped Pronoun Translation. CoRR abs/1604.06285 (2016) - [i7]Longyue Wang, Xiaojun Zhang, Zhaopeng Tu, Andy Way, Qun Liu:
Automatic Construction of Discourse Corpora for Dialogue Translation. CoRR abs/1605.06770 (2016) - [i6]Zhaopeng Tu, Yang Liu, Zhengdong Lu, Xiaohua Liu, Hang Li:
Context Gates for Neural Machine Translation. CoRR abs/1608.06043 (2016) - [i5]Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang:
Neural Machine Translation Advised by Statistical Machine Translation. CoRR abs/1610.05150 (2016) - [i4]Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, Hang Li:
Neural Machine Translation with Reconstruction. CoRR abs/1611.01874 (2016) - 2015
- [c12]Baotian Hu, Zhaopeng Tu, Zhengdong Lu, Hang Li, Qingcai Chen:
Context-Dependent Translation Selection Using Convolutional Neural Network. ACL (2) 2015: 536-541 - [c11]Christine Franks, Zhaopeng Tu, Premkumar T. Devanbu, Vincent Hellendoorn:
CACHECA: A Cache Language Model Based Code Suggestion Tool. ICSE (2) 2015: 705-708 - [i3]Zhaopeng Tu, Baotian Hu, Zhengdong Lu, Hang Li:
Context-Dependent Translation Selection Using Convolutional Neural Network. CoRR abs/1503.02357 (2015) - [i2]Baishakhi Ray, Vincent Hellendoorn, Zhaopeng Tu, Connie Nguyen, Saheel Godhane, Alberto Bacchelli, Premkumar T. Devanbu:
On the "Naturalness" of Buggy Code. CoRR abs/1506.01159 (2015) - [i1]Fandong Meng, Zhengdong Lu, Zhaopeng Tu, Hang Li, Qun Liu:
Neural Transformation Machine: A New Architecture for Sequence-to-Sequence Learning. CoRR abs/1506.06442 (2015) - 2014
- [c10]Zhaopeng Tu, Zhendong Su, Premkumar T. Devanbu:
On the localness of software. SIGSOFT FSE 2014: 269-280 - 2013
- [c9]Qun Liu, Zhaopeng Tu, Shouxun Lin:
A Novel Graph-based Compact Representation of Word Alignment. ACL (2) 2013: 358-363 - [c8]Zhaopeng Tu, Jun Xie, Yajuan Lv, Qun Liu:
A Simple, Fast Strategy for Weighted Alignment Hypergraph. NLPCC 2013: 188-199 - 2012
- [c7]Junhui Li, Zhaopeng Tu, Guodong Zhou, Josef van Genabith:
Head-Driven Hierarchical Phrase-based Translation. ACL (2) 2012: 33-37 - [c6]Zhaopeng Tu, Yifan He, Jennifer Foster, Josef van Genabith, Qun Liu, Shouxun Lin:
Identifying High-Impact Sub-Structures for Convolution Kernels in Document-level Sentiment Classification. ACL (2) 2012: 338-343 - [c5]Zhaopeng Tu, Yang Liu, Yifan He, Josef van Genabith, Qun Liu, Shouxun Lin:
Combining Multiple Alignments to Improve Machine Translation. COLING (Posters) 2012: 1249-1260 - [c4]Junhui Li, Zhaopeng Tu, Guodong Zhou, Josef van Genabith:
Using Syntactic Head Information in Hierarchical Phrase-Based Translation. WMT@NAACL-HLT 2012: 232-242 - 2011
- [c3]Zhaopeng Tu, Yang Liu, Qun Liu, Shouxun Lin:
Extracting Hierarchical Rules from a Weighted Alignment Matrix. IJCNLP 2011: 1294-1303 - 2010
- [c2]Zhaopeng Tu, Yang Liu, Young-Sook Hwang, Qun Liu, Shouxun Lin:
Dependency Forest for Statistical Machine Translation. COLING 2010: 1092-1100
2000 – 2009
- 2009
- [c1]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
Coauthor Index