Linjun Shou - Concepedia

Author

Linjun Shou

Microsoft Research Asia (China)ORCID

Also Known As

Duyu Tang, Gong, Ming, Linjun Shou, Shou, Linjun

103

Publications

4.8K

Citations

H-Index

Concepts

All Affiliations

Microsoft Research Asia (China)Microsoft (United States)Simon Fraser University Peking University Sun Yat-sen University

About

Linjun Shou is an author at Microsoft Research Asia (China) specializing in engineering, natural language processing, and computational linguistics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	19	23	4.1K
2	Computer Science	15	16	1.7K
3	Language Studies	14	15	3.3K
4	Business	1	1	58
5	Education	1	1	115

Linjun Shou

Publications

4.5K

Citations

H-Index

Page 1

	Year	Citations
CodeBERT: A Pre-Trained Model for Programming and Natural Languages Zhangyin Feng, Daya Guo, Duyu Tang, Artificial IntelligenceEngineeringMathematical LinguisticsCorpus LinguisticsLanguage Processing	2020	2.2K
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Shuai Lu, Daya Guo, Shuo Ren, arXiv (Cornell University) Llm Fine-tuningEngineeringMachine LearningSoftware EngineeringSource Code Analysis	2021	415
CodeBERT: A Pre-Trained Model for Programming and Natural Languages Zhangyin Feng, Daya Guo, Duyu Tang, arXiv (Cornell University) Artificial IntelligenceLlm Fine-tuningEngineeringMachine LearningBimodal Pre-trained Model	2020	245
XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation Yaobo Liang, Nan Duan, Yeyun Gong,	2020	229
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering Shangwen Lv, Daya Guo, Jingjing Xu, Proceedings of the AAAI Conference on Artificial Intelligence Graph-based ReasoningEngineeringTextual EntailmentSemanticsSemantic Web	2020	187
Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks Haoyang Huang, Yaobo Liang, Nan Duan, Llm Fine-tuningEngineeringMachine LearningCross-lingual RepresentationLanguage Learning	2019	167
Reinforced Multi-Teacher Selection for Knowledge Distillation Fei Yuan, Linjun Shou, Jian Pei, Proceedings of the AAAI Conference on Artificial Intelligence Artificial IntelligenceLlm Fine-tuningEngineeringMachine LearningKnowledge Distillation Transfers	2021	115
Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks Haoyang Huang, Yaobo Liang, Nan Duan, arXiv (Cornell University) Llm Fine-tuningEngineeringMachine LearningCross-lingual RepresentationMultilingualism	2019	110
Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System Ze Yang, Linjun Shou, Ming Gong, A Distillation TaskLlm Fine-tuningEngineeringMachine LearningMultilingual Pretraining	2020	91
TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs Yaobo Liang, Chenfei Wu, Ting Song, Intelligent Computing Artificial IntelligenceLlm Fine-tuningEngineeringMachine LearningIntelligent Systems	2023	84

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