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2020 – today
- 2022
[j63]Yang Fan, Yingce Xia
, Jinhua Zhu, Lijun Wu, Shufang Xie, Tao Qin:
Back translation for molecule generation. Bioinform. 38(5): 1244-1251 (2022)- [j62]Xueqing Wu, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Tao Qin:
A study of BERT for context-aware neural machine translation. Mach. Learn. 111(3): 917-935 (2022) - [j61]Shufang Xie, Yingce Xia, Lijun Wu, Yiqing Huang, Yang Fan, Tao Qin:
End-to-end entity-aware neural machine translation. Mach. Learn. 111(3): 1181-1203 (2022) - [j60]Wenxin Hou, Han Zhu, Yidong Wang, Jindong Wang, Tao Qin, Renjun Xu, Takahiro Shinozaki:
Exploiting Adapters for Cross-Lingual Low-Resource Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 30: 317-329 (2022) - [j59]Xiaobo Liang, Lijun Wu, Juntao Li, Tao Qin, Min Zhang, Tie-Yan Liu:
Multi-Teacher Distillation With Single Model for Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 30: 992-1002 (2022) - [c210]Yi Ren, Xu Tan, Tao Qin, Zhou Zhao, Tie-Yan Liu:
Revisiting Over-Smoothness in Text to Speech. ACL (1) 2022: 8197-8213 - [i135]Yuxin Zhang, Jindong Wang, Yiqiang Chen, Han Yu, Tao Qin:
Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection. CoRR abs/2201.00464 (2022) - [i134]Mingfei Sun, Vitaly Kurin, Guoqing Liu, Sam Devlin, Tao Qin, Katja Hofmann, Shimon Whiteson:
You May Not Need Ratio Clipping in PPO. CoRR abs/2202.00079 (2022) - [i133]Jinhua Zhu, Yingce Xia, Chang Liu, Lijun Wu, Shufang Xie, Tong Wang, Yusong Wang, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu:
Direct Molecular Conformation Generation. CoRR abs/2202.01356 (2022) - [i132]Jiawei Huang, Jinglin Chen, Li Zhao, Tao Qin, Nan Jiang, Tie-Yan Liu:
Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality. CoRR abs/2202.06450 (2022) - [i131]Yi Ren, Xu Tan, Tao Qin, Zhou Zhao, Tie-Yan Liu:
Revisiting Over-Smoothness in Text to Speech. CoRR abs/2202.13066 (2022) - [i130]Guangyan Zhang, Kaitao Song, Xu Tan, Daxin Tan, Yuzi Yan, Yanqing Liu, Gang Wang, Wei Zhou, Tao Qin, Tan Lee, Sheng Zhao:
Mixed-Phoneme BERT: Improving BERT with Mixed Phoneme and Sup-Phoneme Representations for Text to Speech. CoRR abs/2203.17190 (2022) - [i129]Yihan Wu, Xu Tan, Bohan Li, Lei He, Sheng Zhao, Ruihua Song, Tao Qin, Tie-Yan Liu:
AdaSpeech 4: Adaptive Text to Speech in Zero-Shot Scenarios. CoRR abs/2204.00436 (2022) - [i128]Yisheng Xiao, Lijun Wu, Junliang Guo, Juntao Li, Min Zhang, Tao Qin, Tie-Yan Liu:
A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond. CoRR abs/2204.09269 (2022) - [i127]Xu Tan, Jiawei Chen, Haohe Liu, Jian Cong, Chen Zhang, Yanqing Liu, Xi Wang, Yichong Leng, Yuanhao Yi, Lei He, Frank K. Soong, Tao Qin, Sheng Zhao, Tie-Yan Liu:
NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality. CoRR abs/2205.04421 (2022) - 2021
- [j58]Meng Jian Zhang, Daoyin Long, Dan Dan Li, Xiao Wang, Tao Qin, Jing Yang:
A novel chaotic grey wolf optimisation for high-dimensional and numerical optimisation. Int. J. Comput. Appl. Technol. 67(2/3): 194-203 (2021) - [j57]Guoqing Liu, Li Zhao, Pushi Zhang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Demonstration actor critic. Neurocomputing 434: 194-202 (2021) - [j56]Tao Qin, Yong Yang, Bin Wen, Zhengxiang Chen, Zhong Bao, Hao Dong, Ke Dou, Changmao Yang:
Research on human gait prediction and recognition algorithm of lower limb-assisted exoskeleton robot. Intell. Serv. Robotics 14(3): 445-457 (2021) - [j55]Jianxin Lin, Zhibo Chen, Yingce Xia, Sen Liu, Tao Qin, Jiebo Luo:
Exploring Explicit Domain Supervision for Latent Space Disentanglement in Unpaired Image-to-Image Translation. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1254-1266 (2021) - [j54]Yinlong Zhu, Fujie Zhang, Lixia Li, Yuhao Lin, Zhongxiong Zhang, Lei Shi, Huan Tao, Tao Qin:
Research on Classification Model of Panax notoginseng Taproots Based on Machine Vision Feature Fusion. Sensors 21(23): 7945 (2021) - [j53]Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu:
Dual Learning: Theoretical Study and an Algorithmic Extension. SN Comput. Sci. 2(5): 413 (2021) - [c209]Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li:
Learning to Reweight with Deep Interactions. AAAI 2021: 7385-7393 - [c208]Zhonghao Sheng, Kaitao Song, Xu Tan, Yi Ren, Wei Ye, Shikun Zhang, Tao Qin:
SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint. AAAI 2021: 13798-13805 - [c207]Chen Zhang, Xu Tan, Yi Ren, Tao Qin, Kejun Zhang, Tie-Yan Liu:
UWSpeech: Speech to Speech Translation for Unwritten Languages. AAAI 2021: 14319-14327 - [c206]Lanqing Xue, Kaitao Song, Duocai Wu, Xu Tan, Nevin L. Zhang, Tao Qin, Wei-Qiang Zhang, Tie-Yan Liu:
DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling. ACL/IJCNLP (1) 2021: 69-81 - [c205]Mingliang Zeng, Xu Tan, Rui Wang, Zeqian Ju, Tao Qin, Tie-Yan Liu:
MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training. ACL/IJCNLP (Findings) 2021: 791-800 - [c204]Tao Qin, Long Quan, Yunhua Li, Lei Ge:
A Dual-Power Coordinated Control for Swing System of Hydraulic-Electric Hybrid Excavator. AIM 2021: 55-60 - [c203]Shaowei Wang, Lingling Zhang, Yi Yang, Xin Hu, Tao Qin, Bifan Wei, Jun Liu:
CSDQA: Diagram Question Answering in Computer Science. CCKS 2021: 274-280 - [c202]Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang:
AdaRNN: Adaptive Learning and Forecasting of Time Series. CIKM 2021: 402-411 - [c201]Yichong Leng, Xu Tan, Rui Wang, Linchen Zhu, Jin Xu, Wenjie Liu, Linquan Liu, Xiang-Yang Li, Tao Qin, Edward Lin, Tie-Yan Liu:
FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition. EMNLP (Findings) 2021: 4328-4337 - [c200]Yichong Leng, Xu Tan, Sheng Zhao, Frank K. Soong, Xiang-Yang Li, Tao Qin:
MBNET: MOS Prediction for Synthesized Speech with Mean-Bias Network. ICASSP 2021: 391-395 - [c199]Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Jinzhu Li, Sheng Zhao, Enhong Chen, Tie-Yan Liu:
Lightspeech: Lightweight and Fast Text to Speech with Neural Architecture Search. ICASSP 2021: 5699-5703 - [c198]Yuzi Yan, Xu Tan, Bohan Li, Tao Qin, Sheng Zhao, Yuan Shen, Tie-Yan Liu:
Adaspeech 2: Adaptive Text to Speech with Untranscribed Data. ICASSP 2021: 6613-6617 - [c197]Linghui Meng, Jin Xu, Xu Tan, Jindong Wang, Tao Qin, Bo Xu:
MixSpeech: Data Augmentation for Low-Resource Automatic Speech Recognition. ICASSP 2021: 7008-7012 - [c196]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. ICASSP 2021: 7063-7067 - [c195]Tao Qin, Juanjuan Liu, Wenchao Xue:
Research on Efficient Image Inpainting Algorithm Based on Deep Learning. ICAIS (1) 2021: 109-120 - [c194]Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li:
Towards Generating Real-World Time Series Data. ICDM 2021: 469-478 - [c193]Chao Wei, Tao Qin, Xin Meng, Jinxing Qiu, Yikun Wang, Bo Li:
Surplus Force Control Strategy of an Active Body-Weight Support Training System. ICIRA (2) 2021: 153-162 - [c192]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. ICLR 2021 - [c191]Mingjian Chen, Xu Tan, Bohan Li, Yanqing Liu, Tao Qin, Sheng Zhao, Tie-Yan Liu:
AdaSpeech: Adaptive Text to Speech for Custom Voice. ICLR 2021 - [c190]Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Jian Li, Nenghai Yu, Tie-Yan Liu:
Return-Based Contrastive Representation Learning for Reinforcement Learning. ICLR 2021 - [c189]Jinhua Zhu, Lijun Wu, Yingce Xia, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu:
IOT: Instance-wise Layer Reordering for Transformer Structures. ICLR 2021 - [c188]Xueqing Wu, Lewen Wang, Yingce Xia, Weiqing Liu, Lijun Wu, Shufang Xie, Tao Qin, Tie-Yan Liu:
Temporally Correlated Task Scheduling for Sequence Learning. ICML 2021: 11274-11284 - [c187]Pushi Zhang, Li Zhao, Guoqing Liu, Jiang Bian, Minlie Huang, Tao Qin, Tie-Yan Liu:
Independence-aware Advantage Estimation. IJCAI 2021: 3349-3355 - [c186]Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin:
Generalizing to Unseen Domains: A Survey on Domain Generalization. IJCAI 2021: 4627-4635 - [c185]Rui Wang, Xu Tan, Renqian Luo, Tao Qin, Tie-Yan Liu:
A Survey on Low-Resource Neural Machine Translation. IJCAI 2021: 4636-4643 - [c184]Wenxin Hou, Jindong Wang, Xu Tan, Tao Qin, Takahiro Shinozaki:
Cross-Domain Speech Recognition with Unsupervised Character-Level Distribution Matching. Interspeech 2021: 3425-3429 - [c183]Yuzi Yan, Xu Tan, Bohan Li, Guangyan Zhang, Tao Qin, Sheng Zhao, Yuan Shen, Wei-Qiang Zhang, Tie-Yan Liu:
Adaptive Text to Speech for Spontaneous Style. Interspeech 2021: 4668-4672 - [c182]Xueqing Wu, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Yang Fan, Tao Qin:
mixSeq: A Simple Data Augmentation Methodfor Neural Machine Translation. IWSLT 2021: 192-197 - [c181]Jin Xu, Xu Tan, Renqian Luo, Kaitao Song, Jian Li, Tao Qin, Tie-Yan Liu:
NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search. KDD 2021: 1933-1943 - [c180]Zhen Wu, Lijun Wu, Qi Meng, Yingce Xia, Shufang Xie, Tao Qin, Xinyu Dai, Tie-Yan Liu:
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost. NAACL-HLT 2021: 3865-3878 - [c179]Pushi Zhang, Xiaoyu Chen, Li Zhao, Wei Xiong, Tao Qin, Tie-Yan Liu:
Distributional Reinforcement Learning for Multi-Dimensional Reward Functions. NeurIPS 2021: 1519-1529 - [c178]Jongjin Park, Younggyo Seo, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu:
Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning. NeurIPS 2021: 3029-3042 - [c177]Chang Liu, Xinwei Sun, Jindong Wang, Haoyue Tang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu:
Learning Causal Semantic Representation for Out-of-Distribution Prediction. NeurIPS 2021: 6155-6170 - [c176]Jiawei Chen, Xu Tan, Yichong Leng, Jin Xu, Guihua Wen, Tao Qin, Tie-Yan Liu:
Speech-T: Transducer for Text to Speech and Beyond. NeurIPS 2021: 6621-6633 - [c175]Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu:
R-Drop: Regularized Dropout for Neural Networks. NeurIPS 2021: 10890-10905 - [c174]Xinwei Sun, Botong Wu, Xiangyu Zheng, Chang Liu, Wei Chen, Tao Qin, Tie-Yan Liu:
Recovering Latent Causal Factor for Generalization to Distributional Shifts. NeurIPS 2021: 16846-16859 - [c173]Yichong Leng, Xu Tan, Linchen Zhu, Jin Xu, Renqian Luo, Linquan Liu, Tao Qin, Xiangyang Li, Edward Lin, Tie-Yan Liu:
FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition. NeurIPS 2021: 21708-21719 - [c172]Chang Liu, Haoyue Tang, Tao Qin, Jintao Wang, Tie-Yan Liu:
On the Generative Utility of Cyclic Conditionals. NeurIPS 2021: 30242-30256 - [c171]Chao Wei, Tao Qin, Xin Meng, Jinxing Qiu, Qilong Meng, Bo Li:
Design and Position Servo Control of an Active Body-Weight Support Training System. RCAR 2021: 939-944 - [c170]Zhihan Zhang, Xiubo Geng, Tao Qin, Yunfang Wu, Daxin Jiang:
Knowledge-Aware Procedural Text Understanding with Multi-Stage Training. WWW 2021: 3512-3523 - [i126]Yingxue Pang, Jianxin Lin, Tao Qin, Zhibo Chen:
Image-to-Image Translation: Methods and Applications. CoRR abs/2101.08629 (2021) - [i125]Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Jinzhu Li, Sheng Zhao, Enhong Chen, Tie-Yan Liu:
LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search. CoRR abs/2102.04040 (2021) - [i124]Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Jian Li, Nenghai Yu, Tie-Yan Liu:
Return-Based Contrastive Representation Learning for Reinforcement Learning. CoRR abs/2102.10960 (2021) - [i123]Linghui Meng, Jin Xu, Xu Tan, Jindong Wang, Tao Qin, Bo Xu:
MixSpeech: Data Augmentation for Low-resource Automatic Speech Recognition. CoRR abs/2102.12664 (2021) - [i122]Yichong Leng, Xu Tan, Sheng Zhao, Frank K. Soong, Xiangyang Li, Tao Qin:
MBNet: MOS Prediction for Synthesized Speech with Mean-Bias Network. CoRR abs/2103.00110 (2021) - [i121]Mingjian Chen, Xu Tan, Bohan Li, Yanqing Liu, Tao Qin, Sheng Zhao, Tie-Yan Liu:
AdaSpeech: Adaptive Text to Speech for Custom Voice. CoRR abs/2103.00993 (2021) - [i120]Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin:
Generalizing to Unseen Domains: A Survey on Domain Generalization. CoRR abs/2103.03097 (2021) - [i119]Jinhua Zhu, Lijun Wu, Yingce Xia, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu:
IOT: Instance-wise Layer Reordering for Transformer Structures. CoRR abs/2103.03457 (2021) - [i118]Jindong Wang, Wenjie Feng, Chang Liu, Chaohui Yu, Mingxuan Du, Renjun Xu, Tao Qin, Tie-Yan Liu:
Learning Invariant Representations across Domains and Tasks. CoRR abs/2103.05114 (2021) - [i117]Zhen Wu, Lijun Wu, Qi Meng, Yingce Xia, Shufang Xie, Tao Qin, Xinyu Dai, Tie-Yan Liu:
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost. CoRR abs/2104.04946 (2021) - [i116]Wenxin Hou, Jindong Wang, Xu Tan, Tao Qin, Takahiro Shinozaki:
Cross-domain Speech Recognition with Unsupervised Character-level Distribution Matching. CoRR abs/2104.07491 (2021) - [i115]Yuzi Yan, Xu Tan, Bohan Li, Tao Qin, Sheng Zhao, Yuan Shen, Tie-Yan Liu:
AdaSpeech 2: Adaptive Text to Speech with Untranscribed Data. CoRR abs/2104.09715 (2021) - [i114]Yichong Leng, Xu Tan, Linchen Zhu, Jin Xu, Renqian Luo, Linquan Liu, Tao Qin, Xiang-Yang Li, Ed Lin, Tie-Yan Liu:
FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition. CoRR abs/2105.03842 (2021) - [i113]Wenxin Hou, Han Zhu, Yidong Wang, Jindong Wang, Tao Qin, Renjun Xu, Takahiro Shinozaki:
Exploiting Adapters for Cross-lingual Low-resource Speech Recognition. CoRR abs/2105.11905 (2021) - [i112]Jinhui Yuan, Fei Pan, Chunting Zhou, Tao Qin, Tie-Yan Liu:
Learning Structures for Deep Neural Networks. CoRR abs/2105.13905 (2021) - [i111]Jin Xu, Xu Tan, Renqian Luo, Kaitao Song, Jian Li, Tao Qin, Tie-Yan Liu:
NAS-BERT: Task-Agnostic and Adaptive-Size BERT Compression with Neural Architecture Search. CoRR abs/2105.14444 (2021) - [i110]Mingliang Zeng, Xu Tan, Rui Wang, Zeqian Ju, Tao Qin, Tie-Yan Liu:
MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training. CoRR abs/2106.05630 (2021) - [i109]Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu:
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior. CoRR abs/2106.06406 (2021) - [i108]Jinhua Zhu, Yingce Xia, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu:
Dual-view Molecule Pre-training. CoRR abs/2106.10234 (2021) - [i107]Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu:
R-Drop: Regularized Dropout for Neural Networks. CoRR abs/2106.14448 (2021) - [i106]Xu Tan, Tao Qin, Frank K. Soong, Tie-Yan Liu:
A Survey on Neural Speech Synthesis. CoRR abs/2106.15561 (2021) - [i105]Chang Liu, Haoyue Tang, Tao Qin, Jintao Wang, Tie-Yan Liu:
On the Generative Utility of Cyclic Conditionals. CoRR abs/2106.15962 (2021) - [i104]Yue Jin, Yue Zhang, Tao Qin, Xudong Zhang, Jian Yuan, Houqiang Li, Tie-Yan Liu:
Supervised Off-Policy Ranking. CoRR abs/2107.01360 (2021) - [i103]Lanqing Xue, Kaitao Song, Duocai Wu, Xu Tan, Nevin L. Zhang, Tao Qin, Wei-Qiang Zhang, Tie-Yan Liu:
DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling. CoRR abs/2107.01875 (2021) - [i102]Yuzi Yan, Xu Tan, Bohan Li, Guangyan Zhang, Tao Qin, Sheng Zhao, Yuan Shen, Wei-Qiang Zhang, Tie-Yan Liu:
AdaSpeech 3: Adaptive Text to Speech for Spontaneous Style. CoRR abs/2107.02530 (2021) - [i101]Rui Wang, Xu Tan, Renqian Luo, Tao Qin, Tie-Yan Liu:
A Survey on Low-Resource Neural Machine Translation. CoRR abs/2107.04239 (2021) - [i100]Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang:
AdaRNN: Adaptive Learning and Forecasting of Time Series. CoRR abs/2108.04443 (2021) - [i99]Jin Xu, Xu Tan, Kaitao Song, Renqian Luo, Yichong Leng, Tao Qin, Tie-Yan Liu, Jian Li:
Analyzing and Mitigating Interference in Neural Architecture Search. CoRR abs/2108.12821 (2021) - [i98]Chen Zhang, Jiaxing Yu, LuChin Chang, Xu Tan, Jiawei Chen, Tao Qin, Kejun Zhang:
PDAugment: Data Augmentation by Pitch and Duration Adjustments for Automatic Lyrics Transcription. CoRR abs/2109.07940 (2021) - [i97]Zeqian Ju, Peiling Lu, Xu Tan, Rui Wang, Chen Zhang, Songruoyao Wu, Kejun Zhang, Xiangyang Li, Tao Qin, Tie-Yan Liu:
TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method. CoRR abs/2109.09617 (2021) - [i96]Yutai Hou, Yingce Xia, Lijun Wu, Shufang Xie, Yang Fan, Jinhua Zhu, Wanxiang Che, Tao Qin, Tie-Yan Liu:
Discovering Drug-Target Interaction Knowledge from Biomedical Literature. CoRR abs/2109.13187 (2021) - [i95]Yichong Leng, Xu Tan, Rui Wang, Linchen Zhu, Jin Xu, Linquan Liu, Tao Qin, Xiang-Yang Li, Edward Lin, Tie-Yan Liu:
FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition. CoRR abs/2109.14420 (2021) - [i94]Kuan Wang, Yuyu Zhang, Diyi Yang, Le Song, Tao Qin:
GNN is a Counter? Revisiting GNN for Question Answering. CoRR abs/2110.03192 (2021) - [i93]Pushi Zhang, Xiaoyu Chen, Li Zhao, Wei Xiong, Tao Qin, Tie-Yan Liu:
Distributional Reinforcement Learning for Multi-Dimensional Reward Functions. CoRR abs/2110.13578 (2021) - [i92]Jongjin Park, Younggyo Seo, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu:
Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning. CoRR abs/2110.14118 (2021) - [i91]Liang He, Shizhuo Zhang, Lijun Wu, Huanhuan Xia, Fusong Ju, He Zhang, Siyuan Liu, Yingce Xia, Jianwei Zhu, Pan Deng, Bin Shao, Tao Qin, Tie-Yan Liu:
Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model. CoRR abs/2110.15527 (2021) - [i90]Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li:
Towards Generating Real-World Time Series Data. CoRR abs/2111.08386 (2021) - [i89]Yiqiang Chen, Wang Lu, Jindong Wang, Xin Qin, Tao Qin:
Federated Learning with Adaptive Batchnorm for Personalized Healthcare. CoRR abs/2112.00734 (2021) - 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) - [c169]Yiren Wang, Lijun Wu, Yingce Xia, Tao Qin, ChengXiang Zhai, Tie-Yan Liu:
Transductive Ensemble Learning for Neural Machine Translation. AAAI 2020: 6291-6298 - [c168]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 - [c167]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 - [c166]Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu:
Dual Learning: Theoretical Study and an Algorithmic Extension. ACML 2020: 321-336 - [c165]Mucheng Ren, Xiubo Geng, Tao Qin, Heyan Huang, Daxin Jiang:
Towards Interpretable Reasoning over Paragraph Effects in Situation. EMNLP (1) 2020: 6745-6758 - [c164]