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2020 – today
- 2020
[b1]Tao Qin:
Dual Learning. Springer 2020, ISBN 978-981-15-8883-9, pp. 1-190- [j52]Shancang Li, Kim-Kwang Raymond Choo
, Zhiyuan Tan, Xiangjian He, Jiankun Hu, Tao Qin:
IEEE Access Special Section Editorial: Security and Trusted Computing for Industrial Internet of Things: Research Challenges and Opportunities. IEEE Access 8: 145033-145036 (2020) - [j51]Chenxu Wang, Yang Wang, Zhiyuan Zhao, Dong Qin, Xiapu Luo, Tao Qin:
Credible seed identification for large-scale structural network alignment. Data Min. Knowl. Discov. 34(6): 1744-1776 (2020) - [j50]Zhong-bo Zhu, Weidong Hu, Tao Qin, Sheng Li, Xiao-jun Li, Jiang-jie Zeng, Xian-qi Lin, Leo P. Ligthart:
A high-precision terahertz retrodirective antenna array with navigation signal at a different frequency. Frontiers Inf. Technol. Electron. Eng. 21(3): 377-383 (2020) - [j49]Changyu Wang, Xiaohong Guan, Tao Qin, Pinghui Wang, Jing Tao, Yongwei Meng, Jingyuan Liu:
Addressing the train-test gap on traffic classification combined subflow model with ensemble learning. Knowl. Based Syst. 204: 106192 (2020) - [j48]Tao Qin, Zhaoli Liu, Shancang Li, Xiaohong Guan:
A Two-Stagse Approach for Social Identity Linkage Based on an Enhanced Weighted Graph Model. Mob. Networks Appl. 25(4): 1364-1375 (2020) - [j47]Mengjian Zhang, Daoyin Long, Tao Qin, Jing Yang:
A Chaotic Hybrid Butterfly Optimization Algorithm with Particle Swarm Optimization for High-Dimensional Optimization Problems. Symmetry 12(11): 1800 (2020) - [j46]Yang Fan, Fei Tian, Yingce Xia, Tao Qin, Xiang-Yang Li, Tie-Yan Liu:
Searching Better Architectures for Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1574-1585 (2020) - [j45]Tao Qin, Zhaoli Liu, Pinghui Wang, Shancang Li, Xiaohong Guan, Lixin Gao:
Symmetry Degree Measurement and its Applications to Anomaly Detection. IEEE Trans. Inf. Forensics Secur. 15: 1040-1055 (2020) - [j44]Yibo Sun, Duyu Tang, Nan Duan, Tao Qin, Shujie Liu, Zhao Yan, Ming Zhou, Yuanhua Lv, Wenpeng Yin, Xiaocheng Feng, Bing Qin, Ting Liu:
Joint Learning of Question Answering and Question Generation. IEEE Trans. Knowl. Data Eng. 32(5): 971-982 (2020) - [c166]Yiren Wang, Lijun Wu, Yingce Xia, Tao Qin, ChengXiang Zhai, Tie-Yan Liu:
Transductive Ensemble Learning for Neural Machine Translation. AAAI 2020: 6291-6298 - [c165]Junliang Guo, Xu Tan, Linli Xu, Tao Qin, Enhong Chen, Tie-Yan Liu:
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation. AAAI 2020: 7839-7846 - [c164]Yi Ren, Jinglin Liu, Xu Tan, Chen Zhang, Tao Qin, Zhou Zhao, Tie-Yan Liu:
SimulSpeech: End-to-End Simultaneous Speech to Text Translation. ACL 2020: 3787-3796 - [c163]Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu:
Dual Learning: Theoretical Study and an Algorithmic Extension. ACML 2020: 321-336 - [c162]Mucheng Ren, Xiubo Geng, Tao Qin, Heyan Huang, Daxin Jiang:
Towards Interpretable Reasoning over Paragraph Effects in Situation. EMNLP (1) 2020: 6745-6758 - [c161]Jinhua Zhu, Yingce Xia, Lijun Wu, Di He, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu:
Incorporating BERT into Neural Machine Translation. ICLR 2020 - [c160]Lijun Wu, Shufang Xie, Yingce Xia, Yang Fan, Jian-Huang Lai, Tao Qin, Tie-Yan Liu:
Sequence Generation with Mixed Representations. ICML 2020: 10388-10398 - [c159]Jinglin Liu, Yi Ren, Xu Tan, Chen Zhang, Tao Qin, Zhou Zhao, Tie-Yan Liu:
Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation. IJCAI 2020: 3861-3867 - [c158]Mingjian Chen, Xu Tan, Yi Ren, Jin Xu, Hao Sun, Sheng Zhao, Tao Qin:
MultiSpeech: Multi-Speaker Text to Speech with Transformer. INTERSPEECH 2020: 4024-4028 - [c157]Yi Ren, Xu Tan, Tao Qin, Jian Luan, Zhou Zhao, Tie-Yan Liu:
DeepSinger: Singing Voice Synthesis with Data Mined From the Web. KDD 2020: 1979-1989 - [c156]Jin Xu, Xu Tan, Yi Ren, Tao Qin, Jian Li, Sheng Zhao, Tie-Yan Liu:
LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition. KDD 2020: 2802-2812 - [c155]Yi Ren, Jinzheng He, Xu Tan, Tao Qin, Zhou Zhao, Tie-Yan Liu:
PopMAG: Pop Music Accompaniment Generation. ACM Multimedia 2020: 1198-1206 - [c154]Weicong Chen, Xu Tan, Yingce Xia, Tao Qin, Yu Wang, Tie-Yan Liu:
DualLip: A System for Joint Lip Reading and Generation. ACM Multimedia 2020: 1985-1993 - [c153]Zichuan Lin, Derek Yang, Li Zhao, Tao Qin, Guangwen Yang, Tie-Yan Liu:
RD$^2$: Reward Decomposition with Representation Decomposition. NeurIPS 2020 - [c152]Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Enhong Chen, Tie-Yan Liu:
Semi-Supervised Neural Architecture Search. NeurIPS 2020 - [c151]Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu:
MPNet: Masked and Permuted Pre-training for Language Understanding. NeurIPS 2020 - [i88]Jinhua Zhu, Yingce Xia, Lijun Wu, Di He, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu:
Incorporating BERT into Neural Machine Translation. CoRR abs/2002.06823 (2020) - [i87]Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Enhong Chen, Tie-Yan Liu:
Semi-Supervised Neural Architecture Search. CoRR abs/2002.10389 (2020) - [i86]Junjie Li, Sotetsu Koyamada, Qiwei Ye, Guoqing Liu, Chao Wang, Ruihan Yang, Li Zhao, Tao Qin, Tie-Yan Liu, Hsiao-Wuen Hon:
Suphx: Mastering Mahjong with Deep Reinforcement Learning. CoRR abs/2003.13590 (2020) - [i85]Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu:
MPNet: Masked and Permuted Pre-training for Language Understanding. CoRR abs/2004.09297 (2020) - [i84]Kaitao Song, Hao Sun, Xu Tan, Tao Qin, Jianfeng Lu, Hongzhi Liu, Tie-Yan Liu:
LightPAFF: A Two-Stage Distillation Framework for Pre-training and Fine-tuning. CoRR abs/2004.12817 (2020) - [i83]Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu:
Dual Learning: Theoretical Study and an Algorithmic Extension. CoRR abs/2005.08238 (2020) - [i82]Yi Ren, Chenxu Hu, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, Tie-Yan Liu:
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech. CoRR abs/2006.04558 (2020) - [i81]Mingjian Chen, Xu Tan, Yi Ren, Jin Xu, Hao Sun, Sheng Zhao, Tao Qin:
MultiSpeech: Multi-Speaker Text to Speech with Transformer. CoRR abs/2006.04664 (2020) - [i80]Chen Zhang, Xu Tan, Yi Ren, Tao Qin, Kejun Zhang, Tie-Yan Liu:
UWSpeech: Speech to Speech Translation for Unwritten Languages. CoRR abs/2006.07926 (2020) - [i79]Yang Fan, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Xiang-Yang Li, Tie-Yan Liu:
Multi-branch Attentive Transformer. CoRR abs/2006.10270 (2020) - [i78]Yi Ren, Xu Tan, Tao Qin, Jian Luan, Zhou Zhao, Tie-Yan Liu:
DeepSinger: Singing Voice Synthesis with Data Mined From the Web. CoRR abs/2007.04590 (2020) - [i77]Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li, Tie-Yan Liu:
Learning to Teach with Deep Interactions. CoRR abs/2007.04649 (2020) - [i76]Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Enhong Chen, Tie-Yan Liu:
Neural Architecture Search with GBDT. CoRR abs/2007.04785 (2020) - [i75]Xueqing Wu, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Tie-Yan Liu:
Learn to Use Future Information in Simultaneous Translation. CoRR abs/2007.05290 (2020) - [i74]Jinglin Liu, Yi Ren, Xu Tan, Chen Zhang, Tao Qin, Zhou Zhao, Tie-Yan Liu:
Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation. CoRR abs/2007.08772 (2020) - [i73]Chaohui Yu, Jindong Wang, Chang Liu, Tao Qin, Renjun Xu, Wenjie Feng, Yiqiang Chen, Tie-Yan Liu:
Learning to Match Distributions for Domain Adaptation. CoRR abs/2007.10791 (2020) - [i72]Jin Xu, Xu Tan, Yi Ren, Tao Qin, Jian Li, Sheng Zhao, Tie-Yan Liu:
LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition. CoRR abs/2008.03687 (2020) - [i71]Yi Ren, Jinzheng He, Xu Tan, Tao Qin, Zhou Zhao, Tie-Yan Liu:
PopMAG: Pop Music Accompaniment Generation. CoRR abs/2008.07703 (2020) - [i70]Jiawei Chen, Xu Tan, Jian Luan, Tao Qin, Tie-Yan Liu:
HiFiSinger: Towards High-Fidelity Neural Singing Voice Synthesis. CoRR abs/2009.01776 (2020) - [i69]Weicong Chen, Xu Tan, Yingce Xia, Tao Qin, Yu Wang, Tie-Yan Liu:
DualLip: A System for Joint Lip Reading and Generation. CoRR abs/2009.05784 (2020) - [i68]Zhihan Zhang, Xiubo Geng, Tao Qin, Yunfang Wu, Daxin Jiang:
Knowledge-Aware Procedural Text Understanding with Multi-Stage Training. CoRR abs/2009.13199 (2020) - [i67]Mucheng Ren, Xiubo Geng, Tao Qin, Heyan Huang, Daxin Jiang:
Towards Interpretable Reasoning over Paragraph Effects in Situation. CoRR abs/2010.01272 (2020) - [i66]Jinhua Zhu, Yingce Xia, Lijun Wu, Jiajun Deng, Wengang Zhou, Tao Qin, Houqiang Li:
Masked Contrastive Representation Learning for Reinforcement Learning. CoRR abs/2010.07470 (2020) - [i65]Yunwon Tae, Cheonbok Park, Taehee Kim, Soyoung Yang, Mohammad Azam Khan, Eunjeong Park, Tao Qin, Jaegul Choo:
Meta-Learning for Low-Resource Unsupervised Neural MachineTranslation. CoRR abs/2010.09046 (2020) - [i64]Chang Liu, Xinwei Sun, Jindong Wang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu:
Learning Causal Semantic Representation for Out-of-Distribution Prediction. CoRR abs/2011.01681 (2020) - [i63]Xinwei Sun, Botong Wu, Chang Liu, Xiangyu Zheng, Wei Chen, Tao Qin, Tie-Yan Liu:
Latent Causal Invariant Model. CoRR abs/2011.02203 (2020) - [i62]Zhonghao Sheng, Kaitao Song, Xu Tan, Yi Ren, Wei Ye, Shikun Zhang, Tao Qin:
SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint. CoRR abs/2012.05168 (2020) - [i61]Chen Zhang, Yi Ren, Xu Tan, Jinglin Liu, Kejun Zhang, Tao Qin, Sheng Zhao, Tie-Yan Liu:
DenoiSpeech: Denoising Text to Speech with Frame-Level Noise Modeling. CoRR abs/2012.09547 (2020)
2010 – 2019
- 2019
- [j43]Jiang Rong, Tao Qin, Bo An:
Competitive Cloud Pricing for Long-Term Revenue Maximization. J. Comput. Sci. Technol. 34(3): 645-656 (2019) - [j42]Tao Qin, Bo Wang, Ruoya Chen, Zunying Qin, Lei Wang:
IMLADS: Intelligent Maintenance and Lightweight Anomaly Detection System for Internet of Things. Sensors 19(4): 958 (2019) - [j41]Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Enhong Chen, Tie-Yan Liu:
Semi-Supervised Neural Machine Translation via Marginal Distribution Estimation. IEEE ACM Trans. Audio Speech Lang. Process. 27(10): 1564-1576 (2019) - [j40]Lijun Wu, Xu Tan, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Beyond Error Propagation: Language Branching Also Affects the Accuracy of Sequence Generation. IEEE ACM Trans. Audio Speech Lang. Process. 27(12): 1868-1879 (2019) - [j39]Shancang Li, Tao Qin, Geyong Min:
Blockchain-Based Digital Forensics Investigation Framework in the Internet of Things and Social Systems. IEEE Trans. Comput. Soc. Syst. 6(6): 1433-1441 (2019) - [c150]Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu:
Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input. AAAI 2019: 3723-3730 - [c149]Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Trust Region Evolution Strategies. AAAI 2019: 4352-4359 - [c148]Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai, Tie-Yan Liu:
Non-Autoregressive Machine Translation with Auxiliary Regularization. AAAI 2019: 5377-5384 - [c147]Yingce Xia, Tianyu He, Xu Tan, Fei Tian, Di He, Tao Qin:
Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder. AAAI 2019: 5466-5473 - [c146]ChengYue Gong, Xu Tan, Di He, Tao Qin:
Sentence-Wise Smooth Regularization for Sequence to Sequence Learning. AAAI 2019: 6449-6456 - [c145]Yichong Leng, Xu Tan, Tao Qin, Xiang-Yang Li, Tie-Yan Liu:
Unsupervised Pivot Translation for Distant Languages. ACL (1) 2019: 175-183 - [c144]Fei Gao, Jinhua Zhu, Lijun Wu, Yingce Xia, Tao Qin, Xueqi Cheng, Wengang Zhou, Tie-Yan Liu:
Soft Contextual Data Augmentation for Neural Machine Translation. ACL (1) 2019: 5539-5544 - [c143]Lijun Wu, Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Depth Growing for Neural Machine Translation. ACL (1) 2019: 5558-5563 - [c142]Zichuan Lin, Li Zhao, Jiang Bian, Tao Qin, Guangwen Yang:
Unified Policy Optimization for Robust Reinforcement Learning. ACML 2019: 395-410 - [c141]Hao Sun, Xu Tan, Jun-Wei Gan, Sheng Zhao, Dongxu Han, Hongzhi Liu, Tao Qin, Tie-Yan Liu:
Knowledge Distillation from Bert in Pre-Training and Fine-Tuning for Polyphone Disambiguation. ASRU 2019: 168-175 - [c140]Jiang Rong, Tao Qin, Bo An:
Competitive Bridge Bidding with Deep Neural Networks. AAMAS 2019: 16-24 - [c139]Jingyuan Liu, Wei Li, Tao Qin, Liang Zhao, Yuli Gao, Wenqiang Ma:
User Identification Cross Multiple Social Media Platform with Revised Input Output Network Embedding Framework. DASC/PiCom/DataCom/CyberSciTech 2019: 422-426 - [c138]Xu Tan, Jiale Chen, Di He, Yingce Xia, Tao Qin, Tie-Yan Liu:
Multilingual Neural Machine Translation with Language Clustering. EMNLP/IJCNLP (1) 2019: 963-973 - [c137]Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, Daxin Jiang:
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base. EMNLP/IJCNLP (1) 2019: 2442-2451 - [c136]Lijun Wu, Yiren Wang, Yingce Xia, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Exploiting Monolingual Data at Scale for Neural Machine Translation. EMNLP/IJCNLP (1) 2019: 4205-4215 - [c135]Lijun Wu, Jinhua Zhu, Di He, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Machine Translation With Weakly Paired Documents. EMNLP/IJCNLP (1) 2019: 4374-4383 - [c134]Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu:
Hint-Based Training for Non-Autoregressive Machine Translation. EMNLP/IJCNLP (1) 2019: 5707-5712 - [c133]Tao Qin, Xin Meng, Jinxing Qiu, Dingjian Zhu, Jianwei Zhang:
Dynamics Analysis of the Human-Machine System of the Assistive Gait Training Robot. ICIRA (6) 2019: 273-282 - [c132]Jun Gao, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu:
Representation Degeneration Problem in Training Natural Language Generation Models. ICLR (Poster) 2019 - [c131]Xu Tan, Yi Ren, Di He, Tao Qin, Zhou Zhao, Tie-Yan Liu:
Multilingual Neural Machine Translation with Knowledge Distillation. ICLR (Poster) 2019 - [c130]Yiren Wang, Yingce Xia, Tianyu He, Fei Tian, Tao Qin, ChengXiang Zhai, Tie-Yan Liu:
Multi-Agent Dual Learning. ICLR (Poster) 2019 - [c129]Linyuan Gong, Di He, Zhuohan Li, Tao Qin, Liwei Wang, Tie-Yan Liu:
Efficient Training of BERT by Progressively Stacking. ICML 2019: 2337-2346 - [c128]Yi Ren, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, Tie-Yan Liu:
Almost Unsupervised Text to Speech and Automatic Speech Recognition. ICML 2019: 5410-5419 - [c127]Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu:
MASS: Masked Sequence to Sequence Pre-training for Language Generation. ICML 2019: 5926-5936 - [c126]Tianyu He, Yingce Xia, Jianxin Lin, Xu Tan, Di He, Tao Qin, Zhibo Chen:
Deliberation Learning for Image-to-Image Translation. IJCAI 2019: 2484-2490 - [c125]Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen:
Image-to-Image Translation with Multi-Path Consistency Regularization. IJCAI 2019: 2980-2986 - [c124]Chang Xu, Tao Qin, Gang Wang, Tie-Yan Liu:
Polygon-Net: A General Framework for Jointly Boosting Multiple Unsupervised Neural Machine Translation Models. IJCAI 2019: 5320-5326 - [c123]Hao Sun, Xu Tan, Jun-Wei Gan, Hongzhi Liu, Sheng Zhao, Tao Qin, Tie-Yan Liu:
Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion. INTERSPEECH 2019: 2115-2119 - [c122]Zhige Li, Derek Yang, Li Zhao, Jiang Bian, Tao Qin, Tie-Yan Liu:
Individualized Indicator for All: Stock-wise Technical Indicator Optimization with Stock Embedding. KDD 2019: 894-902 - [c121]Yi Ren, Yangjun Ruan, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, Tie-Yan Liu:
FastSpeech: Fast, Robust and Controllable Text to Speech. NeurIPS 2019: 3165-3174 - [c120]Derek Yang, Li Zhao, Zichuan Lin, Tao Qin, Jiang Bian, Tie-Yan Liu:
Fully Parameterized Quantile Function for Distributional Reinforcement Learning. NeurIPS 2019: 6190-6199 - [c119]Zichuan Lin, Li Zhao, Derek Yang, Tao Qin, Tie-Yan Liu, Guangwen Yang:
Distributional Reward Decomposition for Reinforcement Learning. NeurIPS 2019: 6212-6221 - [c118]Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, ChengXiang Zhai, Tie-Yan Liu:
Neural Machine Translation with Soft Prototype. NeurIPS 2019: 6313-6322 - [c117]Lu Hou, Jinhua Zhu, James T. Kwok, Fei Gao, Tao Qin, Tie-Yan Liu:
Normalization Helps Training of Quantized LSTM. NeurIPS 2019: 7344-7354 - [c116]Shaolin Lu, Xiaozhi Qi, Yucheng He, Ying Hu, Tao Qin, Bing Li, Jianwei Zhang:
Controller Design of Deployment Process for Large Deployable Reflectors. ROBIO 2019: 2490-2495 - [c115]Yingce Xia, Xu Tan, Fei Tian, Fei Gao, Di He, Weicong Chen, Yang Fan, Linyuan Gong, Yichong Leng, Renqian Luo, Yiren Wang, Lijun Wu, Jinhua Zhu, Tao Qin, Tie-Yan Liu:
Microsoft Research Asia's Systems for WMT19. WMT (2) 2019: 424-433 - [i60]Jianxin Lin, Sen Liu, Yingce Xia, Shuxin Zhao, Tao Qin, Zhibo Chen:
Unpaired Image-to-Image Translation with Domain Supervision. CoRR abs/1902.03782 (2019) - [i59]Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai, Tie-Yan Liu:
Non-Autoregressive Machine Translation with Auxiliary Regularization. CoRR abs/1902.10245 (2019) - [i58]Xu Tan, Yi Ren, Di He, Tao Qin, Zhou Zhao, Tie-Yan Liu:
Multilingual Neural Machine Translation with Knowledge Distillation. CoRR abs/1902.10461 (2019) - [i57]Jiang Rong, Tao Qin, Bo An:
Competitive Bridge Bidding with Deep Neural Networks. CoRR abs/1903.00900 (2019) - [i56]Hao Sun, Xu Tan, Jun-Wei Gan, Hongzhi Liu, Sheng Zhao, Tao Qin, Tie-Yan Liu:
Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion. CoRR abs/1904.03446 (2019) - [i55]Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu:
MASS: Masked Sequence to Sequence Pre-training for Language Generation. CoRR abs/1905.02450 (2019) - [i54]Yi Ren, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, Tie-Yan Liu:
Almost Unsupervised Text to Speech and Automatic Speech Recognition. CoRR abs/1905.06791 (2019) - [i53]Yi Ren, Yangjun Ruan, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, Tie-Yan Liu:
FastSpeech: Fast, Robust and Controllable Text to Speech. CoRR abs/1905.09263 (2019) - [i52]Jinhua Zhu, Fei Gao, Lijun Wu, Yingce Xia, Tao Qin, Wengang Zhou, Xueqi Cheng, Tie-Yan Liu:
Soft Contextual Data Augmentation for Neural Machine Translation. CoRR abs/1905.10523 (2019) - [i51]Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen:
Image-to-Image Translation with Multi-Path Consistency Regularization. CoRR abs/1905.12498 (2019) - [i50]Jianxin Lin, Yingce Xia, Sen Liu, Tao Qin, Zhibo Chen:
ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image Translation. CoRR abs/1906.00184 (2019) - [i49]Yichong Leng, Xu Tan, Tao Qin, Xiang-Yang Li, Tie-Yan Liu:
Unsupervised Pivot Translation for Distant Languages. CoRR abs/1906.02461 (2019) - [i48]Yiping Lu, Zhuohan Li, Di He, Zhiqing Sun, Bin Dong, Tao Qin, Liwei Wang, Tie-Yan Liu:
Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View. CoRR abs/1906.02762 (2019) - [i47]Wonwoong Cho, Seunghwan Choi, Junwoo Park, David Keetae Park, Tao Qin, Jaegul Choo:
What and Where to Translate: Local Mask-based Image-to-Image Translation. CoRR abs/1906.03598 (2019) - [i46]Lijun Wu, Yiren Wang, Yingce Xia, Fei Tian, Fei Gao, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Depth Growing for Neural Machine Translation. CoRR abs/1907.01968 (2019) - [i45]Jun Gao, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu:
Representation Degeneration Problem in Training Natural Language Generation Models. CoRR abs/1907.12009 (2019) - [i44]Tianyu He, Jiale Chen, Xu Tan, Tao Qin:
Language Graph Distillation for Low-Resource Machine Translation. CoRR abs/1908.06258 (2019) - [i43]Tianyu He, Xu Tan, Tao Qin:
Hard but Robust, Easy but Sensitive: How Encoder and Decoder Perform in Neural Machine Translation. CoRR abs/1908.06259 (2019) - [i42]Xu Tan, Jiale Chen, Di He, Yingce Xia, Tao Qin, Tie-Yan Liu:
Multilingual Neural Machine Translation with Language Clustering. CoRR abs/1908.09324 (2019) - [i41]Xu Tan, Yingce Xia, Lijun Wu, Tao Qin:
Efficient Bidirectional Neural Machine Translation. CoRR abs/1908.09329 (2019) - [i40]Tao Shen, Xiubo Geng, Tao Qin, Guodong Long, Jing Jiang, Daxin Jiang:
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering. CoRR abs/1909.02762 (2019) - [i39]Zhuohan Li, Zi Lin, Di He, Fei Tian, Tao Qin, Liwei Wang, Tie-Yan Liu:
Hint-Based Training for Non-Autoregressive Machine Translation. CoRR abs/1909.06708 (2019) - [i38]Renqian Luo, Tao Qin, Enhong Chen:
Understanding and Improving One-shot Neural Architecture Optimization. CoRR abs/1909.10815 (2019) - [i37]Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, Daxin Jiang:
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base. CoRR abs/1910.05069 (2019) - [i36]Derek Yang, Li Zhao, Zichuan Lin, Tao Qin, Jiang Bian, Tie-Yan Liu:
Fully Parameterized Quantile Function for Distributional Reinforcement Learning. CoRR abs/1911.02140 (2019) - [i35]