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ORCIDTao Qin 0001
Person information
- affiliation: Microsoft Research, Beijing, China
Other persons with the same name
- Tao Qin — disambiguation page
- Tao Qin 0002
![[0000-0003-4874-2567]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4874-2567")
— Xi'an Jiaotong University, Xi'an, China - Tao Qin 0003 — University of Electronic Science and Technology of China, Chengdu, China (and 2 more)
- Tao Qin 0004 — Guizhou University, Guiyang, China
- Tao Qin 0005 — Macau University of Science and Technology, Taipa, China
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2020 – today
- 2024
[j41]Xu Tan, Jiawei Chen, Haohe Liu, Jian Cong, Chen Zhang, Yanqing Liu, Xi Wang, Yichong Leng, Yuanhao Yi, Lei He, Sheng Zhao, Tao Qin, Frank K. Soong, Tie-Yan Liu:
NaturalSpeech: End-to-End Text-to-Speech Synthesis With Human-Level Quality. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4234-4245 (2024)- [j40]Juntao Li, Xiaobo Liang, Lijun Wu, Yue Wang, Qi Meng, Tao Qin, Min Zhang, Tie-Yan Liu:
Randomness Regularization With Simple Consistency Training for Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5763-5778 (2024) - [c209]Xu Tan, Tao Qin, Jiang Bian, Tie-Yan Liu, Yoshua Bengio:
Regeneration Learning: A Learning Paradigm for Data Generation. AAAI 2024: 22614-22622 - [c208]Qizhi Pei, Lijun Wu, Kaiyuan Gao, Xiaozhuan Liang, Yin Fang, Jinhua Zhu, Shufang Xie, Tao Qin, Rui Yan:
BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning. ACL (Findings) 2024: 1216-1240 - [c207]Siun Kim, Jung-Hyun Won, David Seung U. Lee, Renqian Luo, Lijun Wu, Tao Qin, Howard Lee:
CReSE: Benchmark Data and Automatic Evaluation Framework for Recommending Eligibility Criteria from Clinical Trial Information. EACL (Findings) 2024: 2243-2273 - [c206]Yichong Leng, Zhifang Guo, Kai Shen, Zeqian Ju, Xu Tan, Eric Liu, Yufei Liu, Dongchao Yang, Leying Zhang, Kaitao Song, Lei He, Xiangyang Li, Sheng Zhao, Tao Qin, Jiang Bian:
PromptTTS 2: Describing and Generating Voices with Text Prompt. ICLR 2024 - [c205]Kai Shen, Zeqian Ju, Xu Tan, Eric Liu, Yichong Leng, Lei He, Tao Qin, Sheng Zhao, Jiang Bian:
NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers. ICLR 2024 - [c204]Zeqian Ju, Yuancheng Wang, Kai Shen, Xu Tan, Detai Xin, Dongchao Yang, Eric Liu, Yichong Leng, Kaitao Song, Siliang Tang, Zhizheng Wu, Tao Qin, Xiangyang Li, Wei Ye, Shikun Zhang, Jiang Bian, Lei He, Jinyu Li, Sheng Zhao:
NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models. ICML 2024 - [c203]Ang Lv, Xu Tan, Tao Qin, Tie-Yan Liu, Rui Yan:
Re-creation of Creations: A New Paradigm for Lyric-to-Melody Generation. IJCAI 2024: 7708-7716 - [i169]Qizhi Pei, Lijun Wu, Kaiyuan Gao, Xiaozhuan Liang, Yin Fang, Jinhua Zhu, Shufang Xie, Tao Qin, Rui Yan:
BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning. CoRR abs/2402.17810 (2024) - [i168]Qizhi Pei, Lijun Wu, Kaiyuan Gao, Jinhua Zhu, Yue Wang, Zun Wang, Tao Qin, Rui Yan:
Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey. CoRR abs/2403.01528 (2024) - [i167]Zeqian Ju, Yuancheng Wang, Kai Shen, Xu Tan, Detai Xin, Dongchao Yang, Yanqing Liu, Yichong Leng, Kaitao Song, Siliang Tang, Zhizheng Wu, Tao Qin, Xiang-Yang Li, Wei Ye, Shikun Zhang, Jiang Bian, Lei He, Jinyu Li, Sheng Zhao:
NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models. CoRR abs/2403.03100 (2024) - [i166]Kaiyuan Gao, Qizhi Pei, Jinhua Zhu, Tao Qin, Kun He, Lijun Wu:
FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation. CoRR abs/2403.20261 (2024) - 2023
- [j39]Jiacheng Lin, Lijun Wu, Jinhua Zhu, Xiaobo Liang, Yingce Xia, Shufang Xie, Tao Qin, Tie-Yan Liu:
R2-DDI: relation-aware feature refinement for drug-drug interaction prediction. Briefings Bioinform. 24(1) (2023) - [j38]Jinhua Zhu, Yingce Xia, Lijun Wu, Jiajun Deng, Wengang Zhou, Tao Qin, Tie-Yan Liu, Houqiang Li:
Masked Contrastive Representation Learning for Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3421-3433 (2023) - [j37]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. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11407-11427 (2023) - [j36]Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin, Wang Lu, Yiqiang Chen, Wenjun Zeng, Philip S. Yu:
Generalizing to Unseen Domains: A Survey on Domain Generalization. IEEE Trans. Knowl. Data Eng. 35(8): 8052-8072 (2023) - [j35]Yuxin Zhang, Jindong Wang, Yiqiang Chen, Han Yu, Tao Qin:
Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection. IEEE Trans. Knowl. Data Eng. 35(12): 12068-12080 (2023) - [j34]Qian Liu, Xiubo Geng, Heyan Huang, Tao Qin, Jie Lu, Daxin Jiang:
MGRC: An End-to-End Multigranularity Reading Comprehension Model for Question Answering. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2594-2605 (2023) - [c202]Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu, Tao Qin:
Retrosynthesis Prediction with Local Template Retrieval. AAAI 2023: 5330-5338 - [c201]Yan Jin, Yuandong Ding, Xuanhao Pan, Kun He, Li Zhao, Tao Qin, Lei Song, Jiang Bian:
Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem. AAAI 2023: 8132-8140 - [c200]Yichong Leng, Xu Tan, Wenjie Liu, Kaitao Song, Rui Wang, Xiang-Yang Li, Tao Qin, Edward Lin, Tie-Yan Liu:
SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition. AAAI 2023: 13034-13042 - [c199]Yisheng Xiao, Ruiyang Xu, Lijun Wu, Juntao Li, Tao Qin, Tie-Yan Liu, Min Zhang:
AMOM: Adaptive Masking over Masking for Conditional Masked Language Model. AAAI 2023: 13789-13797 - [c198]Zequn Liu, Wei Zhang, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Ming Zhang, Tie-Yan Liu:
MolXPT: Wrapping Molecules with Text for Generative Pre-training. ACL (2) 2023: 1606-1616 - [c197]Zixin Zeng, Rui Wang, Yichong Leng, Junliang Guo, Shufang Xie, Xu Tan, Tao Qin, Tie-Yan Liu:
Extract and Attend: Improving Entity Translation in Neural Machine Translation. ACL (Findings) 2023: 1697-1710 - [c196]Siun Kim, Jung-Hyun Won, David Seung U. Lee, Renqian Luo, Lijun Wu, Yingce Xia, Tao Qin, Howard Lee:
Revisiting Machine-Learning based Drug Repurposing: Drug Indications Are Not a Right Prediction Target. CHIL 2023: 100-116 - [c195]Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Jie Wang, Yongdong Zhang, Feng Wu, Tie-Yan Liu:
De Novo Molecular Generation via Connection-aware Motif Mining. ICLR 2023 - [c194]Jinhua Zhu, Yue Wang, Lijun Wu, Tao Qin, Wengang Zhou, Tie-Yan Liu, Houqiang Li:
Making Better Decision by Directly Planning in Continuous Control. ICLR 2023 - [c193]Jinhua Zhu, Kehan Wu, Bohan Wang, Yingce Xia, Shufang Xie, Qi Meng, Lijun Wu, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu:
𝒪-GNN: incorporating ring priors into molecular modeling. ICLR 2023 - [c192]Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin H. S. Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu:
Retrosynthetic Planning with Dual Value Networks. ICML 2023: 22266-22276 - [c191]Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu:
Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design. KDD 2023: 506-517 - [c190]Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu:
Dual-view Molecular Pre-training. KDD 2023: 3615-3627 - [c189]Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan:
FABind: Fast and Accurate Protein-Ligand Binding. NeurIPS 2023 - [i165]Xu Tan, Tao Qin, Jiang Bian, Tie-Yan Liu, Yoshua Bengio:
Regeneration Learning: A Learning Paradigm for Data Generation. CoRR abs/2301.08846 (2023) - [i164]Rui Lv, Junliang Guo, Rui Wang, Xu Tan, Qi Liu, Tao Qin:
N-Gram Nearest Neighbor Machine Translation. CoRR abs/2301.12866 (2023) - [i163]Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin H. S. Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu:
Retrosynthetic Planning with Dual Value Networks. CoRR abs/2301.13755 (2023) - [i162]Zijie Geng, Shufang Xie, Yingce Xia, Lijun Wu, Tao Qin, Jie Wang, Yongdong Zhang, Feng Wu, Tie-Yan Liu:
De Novo Molecular Generation via Connection-aware Motif Mining. CoRR abs/2302.01129 (2023) - [i161]Yisheng Xiao, Ruiyang Xu, Lijun Wu, Juntao Li, Tao Qin, Yan-Tie Liu, Min Zhang:
AMOM: Adaptive Masking over Masking for Conditional Masked Language Model. CoRR abs/2303.07457 (2023) - [i160]Kai Shen, Zeqian Ju, Xu Tan, Yanqing Liu, Yichong Leng, Lei He, Tao Qin, Sheng Zhao, Jiang Bian:
NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers. CoRR abs/2304.09116 (2023) - [i159]Yan Jin, Yuandong Ding, Xuanhao Pan, Kun He, Li Zhao, Tao Qin, Lei Song, Jiang Bian:
Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem. CoRR abs/2304.09407 (2023) - [i158]Shufang Xie, Huishuai Zhang, Junliang Guo, Xu Tan, Jiang Bian, Hany Hassan Awadalla, Arul Menezes, Tao Qin, Rui Yan:
ResiDual: Transformer with Dual Residual Connections. CoRR abs/2304.14802 (2023) - [i157]Zequn Liu, Wei Zhang, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Ming Zhang, Tie-Yan Liu:
MolXPT: Wrapping Molecules with Text for Generative Pre-training. CoRR abs/2305.10688 (2023) - [i156]Zixin Zeng, Rui Wang, Yichong Leng, Junliang Guo, Xu Tan, Tao Qin, Tie-Yan Liu:
Extract and Attend: Improving Entity Translation in Neural Machine Translation. CoRR abs/2306.02242 (2023) - [i155]Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu, Tao Qin:
Retrosynthesis Prediction with Local Template Retrieval. CoRR abs/2306.04123 (2023) - [i154]Yichong Leng, Zhifang Guo, Kai Shen, Xu Tan, Zeqian Ju, Yanqing Liu, Yufei Liu, Dongchao Yang, Leying Zhang, Kaitao Song, Lei He, Xiang-Yang Li, Sheng Zhao, Tao Qin, Jiang Bian:
PromptTTS 2: Describing and Generating Voices with Text Prompt. CoRR abs/2309.02285 (2023) - [i153]Qizhi Pei, Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Kun He, Tie-Yan Liu, Rui Yan:
FABind: Fast and Accurate Protein-Ligand Binding. CoRR abs/2310.06763 (2023) - [i152]Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolò Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, Renqian Luo, Scott Mayer McKinney, Robert Osazuwa Ness, Hoifung Poon, Tao Qin, Naoto Usuyama, Chris White, Eric Horvitz:
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine. CoRR abs/2311.16452 (2023) - 2022
- [j33]Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, Tie-Yan Liu:
BioGPT: generative pre-trained transformer for biomedical text generation and mining. Briefings Bioinform. 23(6) (2022) - [j32]Lijun Wu, Chengcan Yin, Jinhua Zhu, Zhen Wu, Liang He, Yingce Xia, Shufang Xie, Tao Qin, Tie-Yan Liu:
SPRoBERTa: protein embedding learning with local fragment modeling. Briefings Bioinform. 23(6) (2022) - [j31]Yang Fan, Yingce Xia, Jinhua Zhu, Lijun Wu, Shufang Xie, Tao Qin:
Back translation for molecule generation. Bioinform. 38(5): 1244-1251 (2022) - [j30]Yutai Hou, Yingce Xia, Lijun Wu, Shufang Xie, Yang Fan, Jinhua Zhu, Tao Qin, Tie-Yan Liu:
Discovering drug-target interaction knowledge from biomedical literature. Bioinform. 38(22): 5100-5107 (2022) - [j29]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) - [j28]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) - [j27]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) - [j26]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) - [j25]Jinhua Zhu, Yingce Xia, Chang Liu, Lijun Wu, Shufang Xie, Yusong Wang, Tong Wang, Tao Qin, Wengang Zhou, Houqiang Li, Haiguang Liu, Tie-Yan Liu:
Direct Molecular Conformation Generation. Trans. Mach. Learn. Res. 2022 (2022) - [j24]Yingxue Pang, Jianxin Lin, Tao Qin, Zhibo Chen:
Image-to-Image Translation: Methods and Applications. IEEE Trans. Multim. 24: 3859-3881 (2022) - [c188]Yi Ren, Xu Tan, Tao Qin, Zhou Zhao, Tie-Yan Liu:
Revisiting Over-Smoothness in Text to Speech. ACL (1) 2022: 8197-8213 - [c187]Guoqing Liu, Mengzhang Cai, Li Zhao, Tao Qin, Adrian Brown, Jimmy Bischoff, Tie-Yan Liu:
Inspector: Pixel-Based Automated Game Testing via Exploration, Detection, and Investigation. CoG 2022: 237-244 - [c186]Zeqian Ju, Peiling Lu, Xu Tan, Rui Wang, Chen Zhang, Songruoyao Wu, Kejun Zhang, Xiang-Yang Li, Tao Qin, Tie-Yan Liu:
TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method. EMNLP 2022: 5426-5437 - [c185]Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tieyan Liu:
TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets. ICDM 2022: 21-30 - [c184]Shufang Xie, Ang Lv, Yingce Xia, Lijun Wu, Tao Qin, Tie-Yan Liu, Rui Yan:
Target-Side Input Augmentation for Sequence to Sequence Generation. ICLR 2022 - [c183]Jiawei Huang, Jinglin Chen, Li Zhao, Tao Qin, Nan Jiang, Tie-Yan Liu:
Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality. ICLR 2022 - [c182]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-Dependent Adaptive Prior. ICLR 2022 - [c181]Yue Jin, Yue Zhang, Tao Qin, Xudong Zhang, Jian Yuan, Houqiang Li, Tie-Yan Liu:
Supervised Off-Policy Ranking. ICML 2022: 10323-10339 - [c180]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. ICML 2022: 24646-24662 - [c179]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. INTERSPEECH 2022: 456-460 - [c178]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. INTERSPEECH 2022: 2568-2572 - [c177]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. ISMIR 2022: 454-461 - [c176]Peiling Lu, Xu Tan, Botao Yu, Tao Qin, Sheng Zhao, Tie-Yan Liu:
MeloForm: Generating Melody with Musical Form based on Expert Systems and Neural Networks. ISMIR 2022: 567-574 - [c175]Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin:
RetroGraph: Retrosynthetic Planning with Graph Search. KDD 2022: 2120-2129 - [c174]Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu:
Unified 2D and 3D Pre-Training of Molecular Representations. KDD 2022: 2626-2636 - [c173]Chen Zhang, LuChin Chang, Songruoyao Wu, Xu Tan, Tao Qin, Tie-Yan Liu, Kejun Zhang:
ReLyMe: Improving Lyric-to-Melody Generation by Incorporating Lyric-Melody Relationships. ACM Multimedia 2022: 1047-1056 - [c172]Akiko Eriguchi, Shufang Xie, Tao Qin, Hany Hassan:
Building Multilingual Machine Translation Systems That Serve Arbitrary XY Translations. NAACL-HLT 2022: 600-606 - [c171]Kexun Zhang, Rui Wang, Xu Tan, Junliang Guo, Yi Ren, Tao Qin, Tie-Yan Liu:
A Study of Syntactic Multi-Modality in Non-Autoregressive Machine Translation. NAACL-HLT 2022: 1747-1757 - [c170]Xiaoyu Chen, Xiangming Zhu, Yufeng Zheng, Pushi Zhang, Li Zhao, Wenxue Cheng, Peng Cheng, Yongqiang Xiong, Tao Qin, Jianyu Chen, Tie-Yan Liu:
An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context. NeurIPS 2022 - [c169]Jiawei Huang, Li Zhao, Tao Qin, Wei Chen, Nan Jiang, Tie-Yan Liu:
Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret. NeurIPS 2022 - [c168]Yichong Leng, Zehua Chen, Junliang Guo, Haohe Liu, Jiawei Chen, Xu Tan, Danilo P. Mandic, Lei He, Xiangyang Li, Tao Qin, Sheng Zhao, Tie-Yan Liu:
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis. NeurIPS 2022 - [c167]Kaitao Song, Yichong Leng, Xu Tan, Yicheng Zou, Tao Qin, Dongsheng Li:
Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling. NeurIPS 2022 - [c166]Botao Yu, Peiling Lu, Rui Wang, Wei Hu, Xu Tan, Wei Ye, Shikun Zhang, Tao Qin, Tie-Yan Liu:
Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation. NeurIPS 2022 - [i151]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) - [i150]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) - [i149]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) - [i148]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) - [i147]Yi Ren, Xu Tan, Tao Qin, Zhou Zhao, Tie-Yan Liu:
Revisiting Over-Smoothness in Text to Speech. CoRR abs/2202.13066 (2022) - [i146]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) - [i145]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) - [i144]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) - [i143]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) - [i142]Jiawei Huang, Li Zhao, Tao Qin, Wei Chen, Nan Jiang, Tie-Yan Liu:
Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret. CoRR abs/2205.12418 (2022) - [i141]Kaitao Song, Yichong Leng, Xu Tan, Yicheng Zou, Tao Qin, Dongsheng Li:
Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling. CoRR abs/2205.12986 (2022) - [i140]Yichong Leng, Zehua Chen, Junliang Guo, Haohe Liu, Jiawei Chen, Xu Tan, Danilo P. Mandic, Lei He, Xiang-Yang Li, Tao Qin, Sheng Zhao, Tie-Yan Liu:
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis. CoRR abs/2205.14807 (2022) - [i139]Qizhi Pei, Lijun Wu, Jinhua Zhu, Yingce Xia, Shufang Xie, Tao Qin, Haiguang Liu, Tie-Yan Liu:
SMT-DTA: Improving Drug-Target Affinity Prediction with Semi-supervised Multi-task Training. CoRR abs/2206.09818 (2022) - [i138]Shufang Xie, Rui Yan, Peng Han, Yingce Xia, Lijun Wu, Chenjuan Guo, Bin Yang, Tao Qin:
RetroGraph: Retrosynthetic Planning with Graph Search. CoRR abs/2206.11477 (2022) - [i137]Akiko Eriguchi, Shufang Xie, Tao Qin, Hany Hassan Awadalla:
Building Multilingual Machine Translation Systems That Serve Arbitrary X-Y Translations. CoRR abs/2206.14982 (2022) - [i136]Kexun Zhang, Rui Wang, Xu Tan, Junliang Guo, Yi Ren, Tao Qin, Tie-Yan Liu:
A Study of Syntactic Multi-Modality in Non-Autoregressive Machine Translation. CoRR abs/2207.04206 (2022) - [i135]Chen Zhang, LuChin Chang, Songruoyao Wu, Xu Tan, Tao Qin, Tie-Yan Liu, Kejun Zhang:
ReLyMe: Improving Lyric-to-Melody Generation by Incorporating Lyric-Melody Relationships. CoRR abs/2207.05688 (2022) - [i134]Guoqing Liu, Mengzhang Cai, Li Zhao, Tao Qin, Adrian Brown, Jimmy Bischoff, Tie-Yan Liu:
Inspector: Pixel-Based Automated Game Testing via Exploration, Detection, and Investigation. CoRR abs/2207.08379 (2022) - [i133]Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu:
Unified 2D and 3D Pre-Training of Molecular Representations. CoRR abs/2207.08806 (2022) - [i132]Ang Lv, Xu Tan, Tao Qin, Tie-Yan Liu, Rui Yan:
Re-creation of Creations: A New Paradigm for Lyric-to-Melody Generation. CoRR abs/2208.05697 (2022) - [i131]Peiling Lu, Xu Tan, Botao Yu, Tao Qin, Sheng Zhao, Tie-Yan Liu:
MeloForm: Generating Melody with Musical Form based on Expert Systems and Neural Networks. CoRR abs/2208.14345 (2022) - [i130]Kehan Wu, Yingce Xia, Yang Fan, Pan Deng, Haiguang Liu, Lijun Wu, Shufang Xie, Tong Wang, Tao Qin, Tie-Yan Liu:
Tailoring Molecules for Protein Pockets: a Transformer-based Generative Solution for Structured-based Drug Design. CoRR abs/2209.06158 (2022) - [i129]Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, Tie-Yan Liu:
BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining. CoRR abs/2210.10341 (2022) - [i128]Botao Yu, Peiling Lu, Rui Wang, Wei Hu, Xu Tan, Wei Ye, Shikun Zhang, Tao Qin, Tie-Yan Liu:
Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation. CoRR abs/2210.10349 (2022) - [i127]Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu:
Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design. CoRR abs/2211.08406 (2022) - [i126]Yichong Leng, Xu Tan, Wenjie Liu, Kaitao Song, Rui Wang, Xiang-Yang Li, Tao Qin, Edward Lin, Tie-Yan Liu:
SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition. CoRR abs/2212.01039 (2022) - [i125]Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tieyan Liu:
TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets. CoRR abs/2212.02125 (2022) - [i124]Xiaoyu Chen, Xiangming Zhu, Yufeng Zheng, Pushi Zhang, Li Zhao, Wenxue Cheng, Peng Cheng, Yongqiang Xiong, Tao Qin, Jianyu Chen, Tie-Yan Liu:
An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context. CoRR abs/2212.12735 (2022) - 2021
- [j23]Guoqing Liu, Li Zhao, Pushi Zhang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Demonstration actor critic. Neurocomputing 434: 194-202 (2021) - [j22]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) - [j21]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) - [c165]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 - [c164]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 - [c163]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 - [c162]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 - [c161]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 - [c160]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 - [c159]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 - [c158]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 - [c157]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 - [c156]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 - [c155]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 - [c154]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 - [c153]Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li:
Towards Generating Real-World Time Series Data. ICDM 2021: 469-478 - [c152]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 - [c151]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 - [c150]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 - [c149]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 - [c148]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 - [c147]Pushi Zhang, Li Zhao, Guoqing Liu, Jiang Bian, Minlie Huang, Tao Qin, Tie-Yan Liu:
Independence-aware Advantage Estimation. IJCAI 2021: 3349-3355 - [c146]Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin:
Generalizing to Unseen Domains: A Survey on Domain Generalization. IJCAI 2021: 4627-4635 - [c145]Rui Wang, Xu Tan, Renqian Luo, Tao Qin, Tie-Yan Liu:
A Survey on Low-Resource Neural Machine Translation. IJCAI 2021: 4636-4643 - [c144]Wenxin Hou, Jindong Wang, Xu Tan, Tao Qin, Takahiro Shinozaki:
Cross-Domain Speech Recognition with Unsupervised Character-Level Distribution Matching. Interspeech 2021: 3425-3429 - [c143]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 - [c142]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 - [c141]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 - [c140]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 - [c139]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 - [c138]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 - [c137]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 - [c136]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 - [c135]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 - [c134]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 - [c133]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 - [c132]Chang Liu, Haoyue Tang, Tao Qin, Jintao Wang, Tie-Yan Liu:
On the Generative Utility of Cyclic Conditionals. NeurIPS 2021: 30242-30256 - [c131]Zhihan Zhang, Xiubo Geng, Tao Qin, Yunfang Wu, Daxin Jiang:
Knowledge-Aware Procedural Text Understanding with Multi-Stage Training. WWW 2021: 3512-3523 - [i123]Yingxue Pang, Jianxin Lin, Tao Qin, Zhibo Chen:
Image-to-Image Translation: Methods and Applications. CoRR abs/2101.08629 (2021) - [i122]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) - [i121]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) - [i120]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) - [i119]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) - [i118]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) - [i117]Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin:
Generalizing to Unseen Domains: A Survey on Domain Generalization. CoRR abs/2103.03097 (2021) - [i116]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) - [i115]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) - [i114]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) - [i113]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) - [i112]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) - [i111]Yichong Leng, Xu Tan, Linchen Zhu, Jin Xu, Renqian Luo, Linquan Liu, Tao Qin, Xiang-Yang Li, Edward Lin, Tie-Yan Liu:
FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition. CoRR abs/2105.03842 (2021) - [i110]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) - [i109]Jinhui Yuan, Fei Pan, Chunting Zhou, Tao Qin, Tie-Yan Liu:
Learning Structures for Deep Neural Networks. CoRR abs/2105.13905 (2021) - [i108]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) - [i107]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) - [i106]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) - [i105]Jinhua Zhu, Yingce Xia, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu:
Dual-view Molecule Pre-training. CoRR abs/2106.10234 (2021) - [i104]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) - [i103]Xu Tan, Tao Qin, Frank K. Soong, Tie-Yan Liu:
A Survey on Neural Speech Synthesis. CoRR abs/2106.15561 (2021) - [i102]Chang Liu, Haoyue Tang, Tao Qin, Jintao Wang, Tie-Yan Liu:
On the Generative Utility of Cyclic Conditionals. CoRR abs/2106.15962 (2021) - [i101]Yue Jin, Yue Zhang, Tao Qin, Xudong Zhang, Jian Yuan, Houqiang Li, Tie-Yan Liu:
Supervised Off-Policy Ranking. CoRR abs/2107.01360 (2021) - [i100]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) - [i99]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) - [i98]Rui Wang, Xu Tan, Renqian Luo, Tao Qin, Tie-Yan Liu:
A Survey on Low-Resource Neural Machine Translation. CoRR abs/2107.04239 (2021) - [i97]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) - [i96]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) - [i95]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) - [i94]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) - [i93]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) - [i92]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) - [i91]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) - [i90]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) - [i89]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) - [i88]Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li:
Towards Generating Real-World Time Series Data. CoRR abs/2111.08386 (2021) - [i87]Yiqiang Chen, Wang Lu, Jindong Wang, Xin Qin, Tao Qin:
Federated Learning with Adaptive Batchnorm for Personalized Healthcare. CoRR abs/2112.00734 (2021) - 2020
- [j20]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) - [j19]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) - [c130]Yiren Wang, Lijun Wu, Yingce Xia, Tao Qin, ChengXiang Zhai, Tie-Yan Liu:
Transductive Ensemble Learning for Neural Machine Translation. AAAI 2020: 6291-6298 - [c129]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 - [c128]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 - [c127]Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu:
Dual Learning: Theoretical Study and an Algorithmic Extension. ACML 2020: 321-336 - [c126]Mucheng Ren, Xiubo Geng, Tao Qin, Heyan Huang, Daxin Jiang:
Towards Interpretable Reasoning over Paragraph Effects in Situation. EMNLP (1) 2020: 6745-6758 - [c125]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 - [c124]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 - [c123]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 - [c122]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 - [c121]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 - [c120]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 - [c119]Yi Ren, Jinzheng He, Xu Tan, Tao Qin, Zhou Zhao, Tie-Yan Liu:
PopMAG: Pop Music Accompaniment Generation. ACM Multimedia 2020: 1198-1206 - [c118]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 - [c117]Zichuan Lin, Derek Yang, Li Zhao, Tao Qin, Guangwen Yang, Tie-Yan Liu:
RD$^2$: Reward Decomposition with Representation Decomposition. NeurIPS 2020 - [c116]Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Enhong Chen, Tie-Yan Liu:
Semi-Supervised Neural Architecture Search. NeurIPS 2020 - [c115]Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, Tie-Yan Liu:
MPNet: Masked and Permuted Pre-training for Language Understanding. NeurIPS 2020 - [i86]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) - [i85]Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Enhong Chen, Tie-Yan Liu:
Semi-Supervised Neural Architecture Search. CoRR abs/2002.10389 (2020) - [i84]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) - [i83]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) - [i82]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) - [i81]Zhibing Zhao, Yingce Xia, Tao Qin, Lirong Xia, Tie-Yan Liu:
Dual Learning: Theoretical Study and an Algorithmic Extension. CoRR abs/2005.08238 (2020) - [i80]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) - [i79]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) - [i78]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) - [i77]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) - [i76]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) - [i75]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) - [i74]Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Enhong Chen, Tie-Yan Liu:
Neural Architecture Search with GBDT. CoRR abs/2007.04785 (2020) - [i73]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) - [i72]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) - [i71]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) - [i70]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) - [i69]Yi Ren, Jinzheng He, Xu Tan, Tao Qin, Zhou Zhao, Tie-Yan Liu:
PopMAG: Pop Music Accompaniment Generation. CoRR abs/2008.07703 (2020) - [i68]Jiawei Chen, Xu Tan, Jian Luan, Tao Qin, Tie-Yan Liu:
HiFiSinger: Towards High-Fidelity Neural Singing Voice Synthesis. CoRR abs/2009.01776 (2020) - [i67]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) - [i66]Zhihan Zhang, Xiubo Geng, Tao Qin, Yunfang Wu, Daxin Jiang:
Knowledge-Aware Procedural Text Understanding with Multi-Stage Training. CoRR abs/2009.13199 (2020) - [i65]Mucheng Ren, Xiubo Geng, Tao Qin, Heyan Huang, Daxin Jiang:
Towards Interpretable Reasoning over Paragraph Effects in Situation. CoRR abs/2010.01272 (2020) - [i64]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) - [i63]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) - [i62]Xinwei Sun, Botong Wu, Chang Liu, Xiangyu Zheng, Wei Chen, Tao Qin, Tie-Yan Liu:
Latent Causal Invariant Model. CoRR abs/2011.02203 (2020) - [i61]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) - [i60]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
- [j18]Jiang Rong, Tao Qin, Bo An:
Competitive Cloud Pricing for Long-Term Revenue Maximization. J. Comput. Sci. Technol. 34(3): 645-656 (2019) - [j17]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) - [j16]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) - [c114]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 - [c113]Guoqing Liu, Li Zhao, Feidiao Yang, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Trust Region Evolution Strategies. AAAI 2019: 4352-4359 - [c112]Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai, Tie-Yan Liu:
Non-Autoregressive Machine Translation with Auxiliary Regularization. AAAI 2019: 5377-5384 - [c111]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 - [c110]ChengYue Gong, Xu Tan, Di He, Tao Qin:
Sentence-Wise Smooth Regularization for Sequence to Sequence Learning. AAAI 2019: 6449-6456 - [c109]Yichong Leng, Xu Tan, Tao Qin, Xiang-Yang Li, Tie-Yan Liu:
Unsupervised Pivot Translation for Distant Languages. ACL (1) 2019: 175-183 - [c108]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 - [c107]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 - [c106]Zichuan Lin, Li Zhao, Jiang Bian, Tao Qin, Guangwen Yang:
Unified Policy Optimization for Robust Reinforcement Learning. ACML 2019: 395-410 - [c105]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 - [c104]Jiang Rong, Tao Qin, Bo An:
Competitive Bridge Bidding with Deep Neural Networks. AAMAS 2019: 16-24 - [c103]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 - [c102]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 - [c101]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 - [c100]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 - [c99]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 - [c98]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 - [c97]Xu Tan, Yi Ren, Di He, Tao Qin, Zhou Zhao, Tie-Yan Liu:
Multilingual Neural Machine Translation with Knowledge Distillation. ICLR (Poster) 2019 - [c96]Yiren Wang, Yingce Xia, Tianyu He, Fei Tian, Tao Qin, ChengXiang Zhai, Tie-Yan Liu:
Multi-Agent Dual Learning. ICLR (Poster) 2019 - [c95]Linyuan Gong, Di He, Zhuohan Li, Tao Qin, Liwei Wang, Tie-Yan Liu:
Efficient Training of BERT by Progressively Stacking. ICML 2019: 2337-2346 - [c94]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 - [c93]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 - [c92]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 - [c91]Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen:
Image-to-Image Translation with Multi-Path Consistency Regularization. IJCAI 2019: 2980-2986 - [c90]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 - [c89]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 - [c88]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 - [c87]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 - [c86]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 - [c85]Zichuan Lin, Li Zhao, Derek Yang, Tao Qin, Tie-Yan Liu, Guangwen Yang:
Distributional Reward Decomposition for Reinforcement Learning. NeurIPS 2019: 6212-6221 - [c84]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 - [c83]Lu Hou, Jinhua Zhu, James T. Kwok, Fei Gao, Tao Qin, Tie-Yan Liu:
Normalization Helps Training of Quantized LSTM. NeurIPS 2019: 7344-7354 - [c82]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 - [i59]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) - [i58]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) - [i57]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) - [i56]Jiang Rong, Tao Qin, Bo An:
Competitive Bridge Bidding with Deep Neural Networks. CoRR abs/1903.00900 (2019) - [i55]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) - [i54]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) - [i53]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) - [i52]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) - [i51]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) - [i50]Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen:
Image-to-Image Translation with Multi-Path Consistency Regularization. CoRR abs/1905.12498 (2019) - [i49]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) - [i48]Yichong Leng, Xu Tan, Tao Qin, Xiang-Yang Li, Tie-Yan Liu:
Unsupervised Pivot Translation for Distant Languages. CoRR abs/1906.02461 (2019) - [i47]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) - [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]Zichuan Lin, Li Zhao, Derek Yang, Tao Qin, Guangwen Yang, Tie-Yan Liu:
Distributional Reward Decomposition for Reinforcement Learning. CoRR abs/1911.02166 (2019) - [i34]Yingce Xia, Xu Tan, Fei Tian, Fei Gao, 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. CoRR abs/1911.06191 (2019) - [i33]Junliang Guo, Xu Tan, Linli Xu, Tao Qin, Enhong Chen, Tie-Yan Liu:
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation. CoRR abs/1911.08717 (2019) - [i32]Xu Tan, Yichong Leng, Jiale Chen, Yi Ren, Tao Qin, Tie-Yan Liu:
A Study of Multilingual Neural Machine Translation. CoRR abs/1912.11625 (2019) - 2018
- [j15]Fei Tian, Tao Qin, Tie-Yan Liu:
Computational pricing in Internet era. Frontiers Comput. Sci. 12(1): 40-54 (2018) - [c81]Jiang Rong, Tao Qin, Bo An:
Dynamic Pricing for Reusable Resources in Competitive Market With Stochastic Demand. AAAI 2018: 4718-4726 - [c80]Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Guiquan Liu, Tie-Yan Liu:
Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization. AAAI 2018: 5553-5560 - [c79]Lijun Wu, Yingce Xia, Fei Tian, Li Zhao, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Adversarial Neural Machine Translation. ACML 2018: 534-549 - [c78]Kaitao Song, Xu Tan, Di He, Jianfeng Lu, Tao Qin, Tie-Yan Liu:
Double Path Networks for Sequence to Sequence Learning. COLING 2018: 3064-3074 - [c77]Jianxin Lin, Yingce Xia, Tao Qin, Zhibo Chen, Tie-Yan Liu:
Conditional Image-to-Image Translation. CVPR 2018: 5524-5532 - [c76]Lijun Wu, Xu Tan, Di He, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter. EMNLP 2018: 3602-3611 - [c75]Lijun Wu, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
A Study of Reinforcement Learning for Neural Machine Translation. EMNLP 2018: 3612-3621 - [c74]Yang Fan, Fei Tian, Tao Qin, Xiang-Yang Li, Tie-Yan Liu:
Learning to Teach. ICLR (Poster) 2018 - [c73]Zhuohan Li, Di He, Fei Tian, Wei Chen, Tao Qin, Liwei Wang, Tie-Yan Liu:
Towards Binary-Valued Gates for Robust LSTM Training. ICML 2018: 3001-3010 - [c72]Yingce Xia, Xu Tan, Fei Tian, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Model-Level Dual Learning. ICML 2018: 5379-5388 - [c71]Fei Gao, Lijun Wu, Li Zhao, Tao Qin, Xueqi Cheng, Tie-Yan Liu:
Efficient Sequence Learning with Group Recurrent Networks. NAACL-HLT 2018: 799-808 - [c70]Yanyao Shen, Xu Tan, Di He, Tao Qin, Tie-Yan Liu:
Dense Information Flow for Neural Machine Translation. NAACL-HLT 2018: 1294-1303 - [c69]ChengYue Gong, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu:
FRAGE: Frequency-Agnostic Word Representation. NeurIPS 2018: 1341-1352 - [c68]Lijun Wu, Fei Tian, Yingce Xia, Yang Fan, Tao Qin, Jian-Huang Lai, Tie-Yan Liu:
Learning to Teach with Dynamic Loss Functions. NeurIPS 2018: 6467-6478 - [c67]Renqian Luo, Fei Tian, Tao Qin, Enhong Chen, Tie-Yan Liu:
Neural Architecture Optimization. NeurIPS 2018: 7827-7838 - [c66]Tianyu He, Xu Tan, Yingce Xia, Di He, Tao Qin, Zhibo Chen, Tie-Yan Liu:
Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation. NeurIPS 2018: 7955-7965 - [i31]Hany Hassan, Anthony Aue, Chang Chen, Vishal Chowdhary, Jonathan Clark, Christian Federmann, Xuedong Huang, Marcin Junczys-Dowmunt, William Lewis, Mu Li, Shujie Liu, Tie-Yan Liu, Renqian Luo, Arul Menezes, Tao Qin, Frank Seide, Xu Tan, Fei Tian, Lijun Wu, Shuangzhi Wu, Yingce Xia, Dongdong Zhang, Zhirui Zhang, Ming Zhou:
Achieving Human Parity on Automatic Chinese to English News Translation. CoRR abs/1803.05567 (2018) - [i30]Jianxin Lin, Yingce Xia, Tao Qin, Zhibo Chen, Tie-Yan Liu:
Conditional Image-to-Image Translation. CoRR abs/1805.00251 (2018) - [i29]Yang Fan, Fei Tian, Tao Qin, Xiang-Yang Li, Tie-Yan Liu:
Learning to Teach. CoRR abs/1805.03643 (2018) - [i28]Yanyao Shen, Xu Tan, Di He, Tao Qin, Tie-Yan Liu:
Dense Information Flow for Neural Machine Translation. CoRR abs/1806.00722 (2018) - [i27]Zhuohan Li, Di He, Fei Tian, Wei Chen, Tao Qin, Liwei Wang, Tie-Yan Liu:
Towards Binary-Valued Gates for Robust LSTM Training. CoRR abs/1806.02988 (2018) - [i26]Kaitao Song, Xu Tan, Di He, Jianfeng Lu, Tao Qin, Tie-Yan Liu:
Double Path Networks for Sequence to Sequence Learning. CoRR abs/1806.04856 (2018) - [i25]Renqian Luo, Fei Tian, Tao Qin, Tie-Yan Liu:
Neural Architecture Optimization. CoRR abs/1808.07233 (2018) - [i24]Lijun Wu, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
A Study of Reinforcement Learning for Neural Machine Translation. CoRR abs/1808.08866 (2018) - [i23]Lijun Wu, Xu Tan, Di He, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter. CoRR abs/1809.00120 (2018) - [i22]ChengYue Gong, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu:
FRAGE: Frequency-Agnostic Word Representation. CoRR abs/1809.06858 (2018) - [i21]Lijun Wu, Fei Tian, Yingce Xia, Yang Fan, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Learning to Teach with Dynamic Loss Functions. CoRR abs/1810.12081 (2018) - [i20]ChengYue Gong, Xu Tan, Di He, Tao Qin:
Sentence-wise Smooth Regularization for Sequence to Sequence Learning. CoRR abs/1812.04784 (2018) - [i19]Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu:
Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input. CoRR abs/1812.09664 (2018) - 2017
- [j14]Yingce Xia, Tao Qin, Wenkui Ding, Haifang Li, Xudong Zhang, Nenghai Yu, Tie-Yan Liu:
Finite budget analysis of multi-armed bandit problems. Neurocomputing 258: 13-29 (2017) - [c65]Jiang Rong, Tao Qin, Bo An, Tie-Yan Liu:
Revenue Maximization for Finitely Repeated Ad Auctions. AAAI 2017: 663-669 - [c64]Jia Zhang, Weidong Ma, Tao Qin, Xiaoming Sun, Tie-Yan Liu:
Randomized Mechanisms for Selling Reserved Instances in Cloud Computing. AAAI 2017: 750-757 - [c63]Jiang Rong, Tao Qin, Bo An, Tie-Yan Liu:
Pricing Optimization for Selling Reusable Resources. AAMAS 2017: 1719-1721 - [c62]Yan Tong, Jian Zhang, Wei Chen, Mingdi Xu, Tao Qin:
Dynamic Group Behavior Analysis and Its Application in Network Abnormal Behavior Detection. ChinaCom (2) 2017: 292-301 - [c61]Chang Xu, Tao Qin, Yalong Bai, Gang Wang, Tie-Yan Liu:
Convolutional neural networks for posed and spontaneous expression recognition. ICME 2017: 769-774 - [c60]Yingce Xia, Tao Qin, Wei Chen, Jiang Bian, Nenghai Yu, Tie-Yan Liu:
Dual Supervised Learning. ICML 2017: 3789-3798 - [c59]Lijun Wu, Li Zhao, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Sequence Prediction with Unlabeled Data by Reward Function Learning. IJCAI 2017: 3098-3104 - [c58]Yingce Xia, Jiang Bian, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Dual Inference for Machine Learning. IJCAI 2017: 3112-3118 - [c57]Xujin Chen, Xiaodong Hu, Tie-Yan Liu, Weidong Ma, Tao Qin, Pingzhong Tang, Changjun Wang, Bo Zheng:
Efficient Mechanism Design for Online Scheduling (Extended Abstract). IJCAI 2017: 4985-4989 - [c56]Di He, Hanqing Lu, Yingce Xia, Tao Qin, Liwei Wang, Tie-Yan Liu:
Decoding with Value Networks for Neural Machine Translation. NIPS 2017: 178-187 - [c55]Yingce Xia, Fei Tian, Lijun Wu, Jianxin Lin, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Deliberation Networks: Sequence Generation Beyond One-Pass Decoding. NIPS 2017: 1784-1794 - [c54]Yingce Xia, Fei Tian, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Sequence Generation with Target Attention. ECML/PKDD (1) 2017: 816-831 - [c53]Di He, Aadharsh Kannan, Tie-Yan Liu, R. Preston McAfee, Tao Qin, Justin M. Rao:
Scale Effects in Web Search. WINE 2017: 294-310 - [i18]Yang Fan, Fei Tian, Tao Qin, Jiang Bian, Tie-Yan Liu:
Learning What Data to Learn. CoRR abs/1702.08635 (2017) - [i17]Lijun Wu, Yingce Xia, Li Zhao, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Adversarial Neural Machine Translation. CoRR abs/1704.06933 (2017) - [i16]Chang Xu, Tao Qin, Gang Wang, Tie-Yan Liu:
Reinforcement Learning for Learning Rate Control. CoRR abs/1705.11159 (2017) - [i15]Duyu Tang, Nan Duan, Tao Qin, Ming Zhou:
Question Answering and Question Generation as Dual Tasks. CoRR abs/1706.02027 (2017) - [i14]Yingce Xia, Tao Qin, Wei Chen, Jiang Bian, Nenghai Yu, Tie-Yan Liu:
Dual Supervised Learning. CoRR abs/1707.00415 (2017) - 2016
- [j13]Xujin Chen, Xiaodong Hu, Tie-Yan Liu, Weidong Ma, Tao Qin, Pingzhong Tang, Changjun Wang, Bo Zheng:
Efficient Mechanism Design for Online Scheduling. J. Artif. Intell. Res. 56: 429-461 (2016) - [c52]Tie-Yan Liu, Weidong Ma, Tao Qin, Pingzhong Tang, Guang Yang, Bo Zheng:
Online Non-Preemptive Story Scheduling in Web Advertising. AAMAS 2016: 269-277 - [c51]Yingce Xia, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Best Action Selection in a Stochastic Environment. AAMAS 2016: 758-766 - [c50]Bo Zheng, Li Xiao, Guang Yang, Tao Qin:
Posting Prices for a Perishable Item: (Extended Abstract). AAMAS 2016: 1317-1318 - [c49]Jiang Rong, Tao Qin, Bo An, Tie-Yan Liu:
Optimal Sample Size for Adword Auctions: (Extended Abstract). AAMAS 2016: 1459-1460 - [c48]Jiang Rong, Tao Qin, Bo An, Tie-Yan Liu:
Modeling Bounded Rationality for Sponsored Search Auctions. ECAI 2016: 515-523 - [c47]Yingce Xia, Tao Qin, Weidong Ma, Nenghai Yu, Tie-Yan Liu:
Budgeted Multi-Armed Bandits with Multiple Plays. IJCAI 2016: 2210-2216 - [c46]Di He, Yingce Xia, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, Wei-Ying Ma:
Dual Learning for Machine Translation. NIPS 2016: 820-828 - [c45]Xiang Li, Tao Qin, Jian Yang, Tie-Yan Liu:
LightRNN: Memory and Computation-Efficient Recurrent Neural Networks. NIPS 2016: 4385-4393 - [i13]Xiang Li, Tao Qin, Jian Yang, Tie-Yan Liu:
LightRNN: Memory and Computation-Efficient Recurrent Neural Networks. CoRR abs/1610.09893 (2016) - [i12]Yingce Xia, Di He, Tao Qin, Liwei Wang, Nenghai Yu, Tie-Yan Liu, Wei-Ying Ma:
Dual Learning for Machine Translation. CoRR abs/1611.00179 (2016) - [i11]Jia Zhang, Weidong Ma, Tao Qin, Xiaoming Sun, Tie-Yan Liu:
Randomized Mechanisms for Selling Reserved Instances in Cloud. CoRR abs/1611.07379 (2016) - 2015
- [c44]Haifang Li, Fei Tian, Wei Chen, Tao Qin, Zhiming Ma, Tie-Yan Liu:
Generalization Analysis for Game-Theoretic Machine Learning. AAAI 2015: 2089-2095 - [c43]Tie-Yan Liu, Wei Chen, Tao Qin:
Mechanism Learning with Mechanism Induced Data. AAAI 2015: 4037-4041 - [c42]Yingce Xia, Wenkui Ding, Xu-Dong Zhang, Nenghai Yu, Tao Qin:
Budgeted Bandit Problems with Continuous Random Costs. ACML 2015: 317-332 - [c41]Binyi Chen, Tao Qin, Tie-Yan Liu:
Mechanism Design for Daily Deals. AAMAS 2015: 327-335 - [c40]Bolei Xu, Tao Qin, Guoping Qiu, Tie-Yan Liu:
Competitive Pricing for Cloud Computing in an Evolutionary Market. AAMAS 2015: 1755-1756 - [c39]Changjun Wang, Weidong Ma, Tao Qin, Feidiao Yang, Tie-Yan Liu, Xujin Chen, Xiao-Dong Hu:
New Mechanism for Reservation in Cloud Computing. AAMAS 2015: 1765-1766 - [c38]Jiang Rong, Tao Qin, Bo An:
Computing Quantal Response Equilibrium for Sponsored Search Auctions. AAMAS 2015: 1803-1804 - [c37]Bolei Xu, Tao Qin, Guoping Qiu, Tie-Yan Liu:
Optimal Pricing for the Competitive and Evolutionary Cloud Market. IJCAI 2015: 139-145 - [c36]Changjun Wang, Weidong Ma, Tao Qin, Xujin Chen, Xiaodong Hu, Tie-Yan Liu:
Selling Reserved Instances in Cloud Computing. IJCAI 2015: 224-231 - [c35]Long Tran-Thanh, Yingce Xia, Tao Qin, Nicholas R. Jennings:
Efficient Algorithms with Performance Guarantees for the Stochastic Multiple-Choice Knapsack Problem. IJCAI 2015: 403-410 - [c34]Yingce Xia, Haifang Li, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Thompson Sampling for Budgeted Multi-Armed Bandits. IJCAI 2015: 3960-3966 - [i10]Yingce Xia, Haifang Li, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Thompson Sampling for Budgeted Multi-armed Bandits. CoRR abs/1505.00146 (2015) - 2014
- [j12]Sungchul Kim, Tao Qin, Tie-Yan Liu, Hwanjo Yu:
Advertiser-centric approach to understand user click behavior in sponsored search. Inf. Sci. 276: 242-254 (2014) - [j11]Tao Qin, Wei Chen, Tie-Yan Liu:
Sponsored Search Auctions: Recent Advances and Future Directions. ACM Trans. Intell. Syst. Technol. 5(4): 60:1-60:34 (2014) - [c33]Yingce Xia, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Incentivizing High-Quality Content from Heterogeneous Users: On the Existence of Nash Equilibrium. AAAI 2014: 819-825 - [c32]Fei Tian, Haifang Li, Wei Chen, Tao Qin, Enhong Chen, Tie-Yan Liu:
Agent Behavior Prediction and Its Generalization Analysis. AAAI 2014: 1300-1306 - [c31]Weidong Ma, Tao Wu, Tao Qin, Tie-Yan Liu:
Generalized second price auctions with value externalities. AAMAS 2014: 1457-1458 - [c30]Wei Chen, Di He, Tie-Yan Liu, Tao Qin, Yixin Tao, Liwei Wang:
Generalized second price auction with probabilistic broad match. EC 2014: 39-56 - [i9]Weidong Ma, Bo Zheng, Tao Qin, Pingzhong Tang, Tie-Yan Liu:
Online Mechanism Design for Cloud Computing. CoRR abs/1403.1896 (2014) - [i8]Wei Chen, Di He, Tie-Yan Liu, Tao Qin, Yixin Tao, Liwei Wang:
Generalized Second Price Auction with Probabilistic Broad Match. CoRR abs/1404.3828 (2014) - [i7]Fei Tian, Haifang Li, Wei Chen, Tao Qin, Enhong Chen, Tie-Yan Liu:
Agent Behavior Prediction and Its Generalization Analysis. CoRR abs/1404.4960 (2014) - [i6]Yingce Xia, Tao Qin, Nenghai Yu, Tie-Yan Liu:
Incentivizing High-quality Content from Heterogeneous Users: On the Existence of Nash Equilibrium. CoRR abs/1404.5155 (2014) - [i5]Haifang Li, Fei Tian, Wei Chen, Tao Qin, Tie-Yan Liu:
Generalization Analysis for Game-Theoretic Machine Learning. CoRR abs/1410.3341 (2014) - 2013
- [c29]Wenkui Ding, Tao Qin, Xu-Dong Zhang, Tie-Yan Liu:
Multi-Armed Bandit with Budget Constraint and Variable Costs. AAAI 2013: 232-238 - [c28]Min Xu, Tao Qin, Tie-Yan Liu:
Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising. NIPS 2013: 2400-2408 - [c27]Weihao Kong, Jian Li, Tie-Yan Liu, Tao Qin:
Optimal Allocation for Chunked-Reward Advertising. WINE 2013: 291-304 - [i4]Wenkui Ding, Tao Wu, Tao Qin, Tie-Yan Liu:
Pure Price of Anarchy for Generalized Second Price Auction. CoRR abs/1305.5404 (2013) - [i3]Weihao Kong, Jian Li, Tao Qin, Tie-Yan Liu:
Revenue Optimization for Group-Buying Websites. CoRR abs/1305.5946 (2013) - [i2]Tao Qin, Tie-Yan Liu:
Introducing LETOR 4.0 Datasets. CoRR abs/1306.2597 (2013) - [i1]Binyi Chen, Tao Qin, Tie-Yan Liu:
$K$-anonymous Signaling Scheme. CoRR abs/1311.6638 (2013) - 2012
- [j10]Xiubo Geng, Tao Qin, Tie-Yan Liu, Xueqi Cheng:
A noise-tolerant graphical model for ranking. Inf. Process. Manag. 48(2): 374-383 (2012) - 2011
- [j9]Xiubo Geng, Tao Qin, Tie-Yan Liu, Xueqi Cheng, Hang Li:
Selecting optimal training data for learning to rank. Inf. Process. Manag. 47(5): 730-741 (2011) - [c26]Sungchul Kim, Tao Qin, Hwanjo Yu, Tie-Yan Liu:
Advertiser-centric approach to understand user click behavior in sponsored search. CIKM 2011: 2121-2124 - 2010
- [j8]Tao Qin, Tie-Yan Liu, Jun Xu, Hang Li:
LETOR: A benchmark collection for research on learning to rank for information retrieval. Inf. Retr. 13(4): 346-374 (2010) - [j7]Tao Qin, Tie-Yan Liu, Hang Li:
A general approximation framework for direct optimization of information retrieval measures. Inf. Retr. 13(4): 375-397 (2010) - [j6]Tao Qin, Cyril Leung, Chunyan Miao, Zhiqi Shen:
Resource Allocation in a Cognitive Radio System with Imperfect Channel State Estimation. J. Electr. Comput. Eng. 2010: 419430:1-419430:5 (2010) - [c25]Wenkui Ding, Tao Qin, Xu-Dong Zhang:
Learning to Rank with Supplementary Data. AIRS 2010: 478-489 - [c24]Yajuan Duan, Long Jiang, Tao Qin, Ming Zhou, Heung-Yeung Shum:
An Empirical Study on Learning to Rank of Tweets. COLING 2010: 295-303 - [c23]Tao Qin, Xiubo Geng, Tie-Yan Liu:
A New Probabilistic Model for Rank Aggregation. NIPS 2010: 1948-1956 - [c22]Jiang Bian, Tie-Yan Liu, Tao Qin, Hongyuan Zha:
Ranking with query-dependent loss for web search. WSDM 2010: 141-150
2000 – 2009
- 2009
- [j5]Tao Qin, Han Yu, Cyril Leung, Zhiqi Shen, Chunyan Miao:
Towards a trust aware cognitive radio architecture. ACM SIGMOBILE Mob. Comput. Commun. Rev. 13(2): 86-95 (2009) - 2008
- [j4]Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng Wang, Tie-Yan Liu, Hang Li:
Query-level loss functions for information retrieval. Inf. Process. Manag. 44(2): 838-855 (2008) - [j3]Tao Qin, Xu-Dong Zhang, Tie-Yan Liu, De-Sheng Wang, Wei-Ying Ma, Hong-Jiang Zhang:
An active feedback framework for image retrieval. Pattern Recognit. Lett. 29(5): 637-646 (2008) - [c21]Yanyan Lan, Tie-Yan Liu, Tao Qin, Zhiming Ma, Hang Li:
Query-level stability and generalization in learning to rank. ICML 2008: 512-519 - [c20]Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang, Hang Li:
Global Ranking Using Continuous Conditional Random Fields. NIPS 2008: 1281-1288 - [c19]Xiubo Geng, Tie-Yan Liu, Tao Qin, Andrew Arnold, Hang Li, Heung-Yeung Shum:
Query dependent ranking using K-nearest neighbor. SIGIR 2008: 115-122 - [c18]Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang, Wen-Ying Xiong, Hang Li:
Learning to rank relational objects and its application to web search. WWW 2008: 407-416 - 2007
- [j2]Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, Guang Feng, De-Sheng Wang, Wei-Ying Ma:
Topic distillation via sub-site retrieval. Inf. Process. Manag. 43(2): 445-460 (2007) - [c17]Tie-Yan Liu, Huai-Yuan Yang, Xin Zheng, Tao Qin, Wei-Ying Ma:
Fast Large-Scale Spectral Clustering by Sequential Shrinkage Optimization. ECIR 2007: 319-330 - [c16]Li Zhang, Tao Qin, Tie-Yan Liu, Ying Bao, Hang Li:
N -Step PageRank for Web Search. ECIR 2007: 653-660 - [c15]Zhe Cao, Tao Qin, Tie-Yan Liu, Ming-Feng Tsai, Hang Li:
Learning to rank: from pairwise approach to listwise approach. ICML 2007: 129-136 - [c14]Tao Qin, Xu-Dong Zhang, De-Sheng Wang, Tie-Yan Liu, Wei Lai, Hang Li:
Ranking with multiple hyperplanes. SIGIR 2007: 279-286 - [c13]Ming-Feng Tsai, Tie-Yan Liu, Tao Qin, Hsin-Hsi Chen, Wei-Ying Ma:
FRank: a ranking method with fidelity loss. SIGIR 2007: 383-390 - [c12]Xiubo Geng, Tie-Yan Liu, Tao Qin, Hang Li:
Feature selection for ranking. SIGIR 2007: 407-414 - [c11]Yuting Liu, Tie-Yan Liu, Tao Qin, Zhiming Ma, Hang Li:
Supervised rank aggregation. WWW 2007: 481-490 - 2005
- [j1]Bin Gao, Tie-Yan Liu, Guang Feng, Tao Qin, QianSheng Cheng, Wei-Ying Ma:
Hierarchical Taxonomy Preparation for Text Categorization Using Consistent Bipartite Spectral Graph Copartitioning. IEEE Trans. Knowl. Data Eng. 17(9): 1263-1273 (2005) - [c10]Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, Guang Feng, Wei-Ying Ma:
Subsite Retrieval: A Novel Concept for Topic Distillation. AIRS 2005: 388-400 - [c9]Hui-Min Yan, Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, Guang Feng, Wei-Ying Ma:
Calculating Webpage Importance with Site Structure Constraints. AIRS 2005: 546-551 - [c8]Guang Feng, Tie-Yan Liu, Xu-Dong Zhang, Tao Qin, Bin Gao, Wei-Ying Ma:
Level-Based Link Analysis. APWeb 2005: 183-194 - [c7]Ying Liu, Tao Qin, Tie-Yan Liu, Lei Zhang, Wei-Ying Ma:
Similarity space projection for web image search and annotation. Multimedia Information Retrieval 2005: 49-56 - [c6]Bin Gao, Tie-Yan Liu, Tao Qin, Xin Zheng, QianSheng Cheng, Wei-Ying Ma:
Web image clustering by consistent utilization of visual features and surrounding texts. ACM Multimedia 2005: 112-121 - [c5]Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, Wei-Ying Ma, HongJiang Zhang:
Subspace Clustering and Label Propagation for Active Feedback in Image Retrieval. MMM 2005: 172-179 - [c4]Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, Zheng Chen, Wei-Ying Ma:
A study of relevance propagation for web search. SIGIR 2005: 408-415 - [c3]Tie-Yan Liu, Hao Wan, Tao Qin, Zheng Chen, Yong Ren, Wei-Ying Ma:
Site abstraction for rare category classification in large-scale web directory. WWW (Special interest tracks and posters) 2005: 1108-1109 - 2004
- [c2]Tie-Yan Liu, Tao Qin, HongJiang Zhang:
Time-constraint boost for tv commercials detection. ICIP 2004: 1617-1620 - [c1]Ruihua Song, Ji-Rong Wen, Shuming Shi, Guomao Xin, Tie-Yan Liu, Tao Qin, Xin Zheng, Jiyu Zhang, Gui-Rong Xue, Wei-Ying Ma:
Microsoft Research Asia at Web Track and Terabyte Track of TREC 2004. TREC 2004
Coauthor Index
Jian-Huang Lai
aka: Jianhuang Lai
aka: Jianhuang Lai
[j41] [j40] [c209] [c203] [j39] [j38] [j37] [c200] [c199] [c198] [c197] [c195] [c194] [c193] [c192] [c191] [c190] [c189] [i165] [i163] [i162] [i157] [i156] [i153] [j33] [j32] [j30] [j26] [j25] [c188] [c187] [c186] [c184] [c183] [c182] [c181] [c180] [c178] [c176] [c174] [c173] [c171] [c170] [c169] [c168] [c166] [i149] [i148] [i147] [i145] [i144] [i143] [i142] [i140] [i139] [i136] [i135] [i134] [i133] [i132] [i131] [i130] [i129] [i128] [i127] [i126] [i124] [j23] [j21] [c163] [c162] [c161] [c159] [c157] [c156] [c154] [c152] [c151] [c150] [c149] [c148] [c147] [c145] [c143] [c141] [c140] [c139] [c138] [c137] [c136] [c135] [c134] [c133] [c132] [i122] [i121] [i118] [i116] [i115] [i114] [i112] [i111] [i109] [i108] [i107] [i106] [i105] [i104] [i103] [i102] [i101] [i100] [i99] [i98] [i96] [i94] [i93] [i92] [i91] [i90] [i89] [j20] [c130] [c129] [c128] [c127] [c125] [c124] [c123] [c121] [c120] [c119] [c118] [c117] [c116] [c115] [i86] [i85] [i84] [i83] [i82] [i81] [i80] [i78] [i77] [i76] [i75] [i74] [i73] [i72] [i71] [i70] [i69] [i68] [i67] [i63] [i62] [i60] [j17] [j16] [c114] [c113] [c112] [c109] [c108] [c107] [c105] [c103] [c101] [c100] [c99] [c98] [c97] [c96] [c95] [c94] [c93] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [i58] [i57] [i55] [i54] [i53] [i52] [i51] [i48] [i47] [i46] [i45] [i42] [i39] [i36] [i35] [i34] [i33] [i32] [j15] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c66] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i19] [j14] [c65] [c64] [c63] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [i18] [i17] [i16] [i14] [j13] [c52] [c51] [c49] [c48] [c47] [c46] [c45] [i13] [i12] [i11] [c44] [c43] [c41] [c40] [c39] [c37] [c36] [c34] [i10] [j12] [j11] [c33] [c32] [c31] [c30] [i9] [i8] [i7] [i6] [i5] [c29] [c28] [c27] [i4] [i3] [i2] [i1] [j10] [j9] [c26] [j8] [j7] [c23] [c22] [j4] [j3] [c21] [c20] [c19] [c18] [j2] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [j1] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
[j41] [c209] [c206] [c205] [c204] [c203] [i167] [c200] [c197] [i165] [i164] [i160] [i158] [i156] [i154] [c188] [c186] [c182] [c180] [c179] [c178] [c177] [c176] [c173] [c171] [c168] [c167] [c166] [i147] [i146] [i145] [i143] [i141] [i140] [i136] [i135] [i132] [i131] [i128] [i126] [c164] [c163] [c162] [c161] [c159] [c158] [c157] [c156] [c155] [c154] [c152] [c151] [c145] [c144] [c143] [c141] [c136] [c133] [i122] [i120] [i119] [i118] [i113] [i112] [i111] [i108] [i107] [i106] [i103] [i100] [i99] [i98] [i96] [i95] [i94] [i92] [c129] [c128] [c123] [c122] [c121] [c120] [c119] [c118] [c116] [c115] [i85] [i83] [i82] [i80] [i79] [i78] [i76] [i74] [i72] [i70] [i69] [i68] [i67] [i61] [i60] [j16] [c114] [c111] [c110] [c109] [c105] [c103] [c98] [c97] [c94] [c93] [c92] [c89] [c87] [c82] [i57] [i55] [i54] [i53] [i52] [i48] [i45] [i44] [i43] [i42] [i41] [i34] [i33] [i32] [c78] [c76] [c72] [c70] [c69] [c66] [i31] [i28] [i26] [i23] [i22] [i20] [i19]
[j40] [c208] [c207] [i169] [i168] [i166] [j39] [j38] [j37] [c202] [c199] [c198] [c196] [c195] [c194] [c193] [c191] [c190] [c189] [i162] [i161] [i157] [i155] [i153] [j32] [j31] [j30] [j29] [j28] [j26] [j25] [c184] [c175] [c174] [i149] [i144] [i139] [i138] [i133] [i130] [i127] [c165] [c149] [c148] [c142] [c140] [c135] [i116] [i114] [i104] [i93] [i89] [c130] [c125] [c124] [i86] [i77] [i75] [i73] [i64] [j16] [c108] [c107] [c101] [c100] [c82] [i51] [i46] [i41] [i34] [c79] [c76] [c75] [c71] [c68] [i31] [i24] [i23] [i21] [c59] [c55] [i17]
[j39] [j38] [c202] [c198] [c196] [c195] [c193] [c192] [c191] [c190] [c189] [i163] [i162] [i157] [i155] [i153] [j33] [j32] [j31] [j30] [j29] [j28] [j25] [c184] [c175] [c174] [i149] [i139] [i138] [i133] [i130] [i129] [i127] [j22] [j21] [c165] [c149] [c148] [c142] [c140] [i116] [i114] [i105] [i93] [i89] [j20] [c130] [c127] [c125] [c124] [c118] [i86] [i81] [i77] [i75] [i73] [i67] [i64] [j17] [c111] [c108] [c107] [c103] [c101] [c96] [c92] [c91] [c84] [c82] [i59] [i51] [i50] [i49] [i46] [i42] [i41] [i34] [c80] [c79] [c77] [c72] [c68] [c66] [i31] [i30] [i21] [j14] [c60] [c58] [c56] [c55] [c54] [i17] [i14] [c51] [c47] [c46] [i12] [c42] [c35] [c34] [i10] [c33] [i6]
[c208] [i169] [j39] [c202] [c198] [c197] [c195] [c193] [c192] [c191] [c190] [c189] [i163] [i162] [i158] [i157] [i155] [i153] [j32] [j31] [j30] [j29] [j28] [j25] [c184] [c175] [c174] [c172] [i149] [i139] [i138] [i137] [i133] [i130] [i127] [c165] [c149] [c148] [c142] [c140] [i116] [i114] [i93] [c124] [i77] [i75] [i73]
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