Tie‐Yan Liu - Concepedia

Author

Tie‐Yan Liu

Also Known As

Dai, Peggy, Li, Chaozhuo, Li, Yong, Lin, Edward, Liu, Tie-Yan, Liu, Tie-yan, Liu, Tieyan, Tao Qin, Tie-Yan Liu, Tie‐Yan Liu

165

Publications

7.3K

Citations

H-Index

164

Concepts

All Affiliations

Microsoft (United States)Microsoft Research (United Kingdom)Peking University University of Science and Technology of China Microsoft Research Asia (China)

About

Tie‐Yan Liu is an author at Microsoft (United States) specializing in engineering, machine learning, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	34	61	5.7K
2	Language Studies	21	27	3.4K
3	Education	4	4	175
4	Business	2	2	50
5	Health Sciences	1	1	19

Tie‐Yan Liu

Publications

6.9K

Citations

H-Index

Page 1

	Year	Citations
FastSpeech: Fast, Robust and Controllable Text to Speech Yi Ren, Yangjun Ruan, Xu Tan, arXiv (Cornell University) EngineeringAttention AlignmentsNeural NetworkControllable TextSpeech Recognition	2019	581
MASS: Masked Sequence to Sequence Pre-training for Language Generation Kaitao Song, Xu Tan, Tao Qin, arXiv (Cornell University) Llm Fine-tuningEngineeringMachine LearningMasked SequenceMultilingual Pretraining	2019	580
MPNet: Masked and Permuted Pre-training for Language Understanding Kaitao Song, Xu Tan, Tao Qin, arXiv (Cornell University) Llm Fine-tuningEngineeringMachine LearningMultilingual PretrainingLarge Language Model	2020	502
MASS: Masked Sequence to Sequence Pre-training for Language Generation Kaitao Song, Xu Tan, Tao Qin, arXiv (Cornell University) Llm Fine-tuningEngineeringMachine LearningMasked SequenceMultilingual Pretraining	2019	479
Neural Architecture Optimization Renqian Luo, Fei Tian, Tao Qin, arXiv (Cornell University) Artificial IntelligenceModel OptimizationEvolving Neural NetworkEngineeringMachine Learning	2018	431
Do Transformers Really Perform Badly for Graph Representation Chengxuan Ying, Tianle Cai, Shengjie Luo, Neural Information Processing Systems EngineeringGraph TheoryData SciencePerform BadlyNetwork Analysis	2021	384
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States Estee Y. Cramer, Evan L Ray, Velma K. Lopez, Proceedings of the National Academy of Sciences	2022	296
Deliberation Networks: Sequence Generation Beyond One-Pass Decoding Yingce Xia, Fei Tian, Lijun Wu, Neural Information Processing Systems Artificial IntelligenceStructured PredictionEngineeringCorpus LinguisticsText Mining	2017	194
Asynchronous Stochastic Gradient Descent with Delay Compensation Shuxin Zheng, Qi Meng, Taifeng Wang, arXiv (Cornell University) Delay CompensationTime Delay SystemEngineeringMachine LearningStochastic Optimization	2016	160
Rethinking Positional Encoding in Language Pre-training Guolin Ke, Di He, Tie‐Yan Liu International Conference on Learning Representations Llm Fine-tuningEngineeringCross-lingual RepresentationPsycholinguisticsMultilingual Pretraining	2021	127

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