2026 Shujie Liu: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	47	6410	6223	853	847	224	10620

Overview

Shujie Liu is affiliated with Microsoft Research Asia (China) and has an extensive publication record in the fields of computer science and engineering. The research focus primarily spans artificial intelligence and signal processing, with a significant number of works addressing speech recognition and synthesis, music and audio processing, and natural language processing techniques.

The scientist's work has been published in several key venues, frequently contributing to:

arXiv (Cornell University)
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Interspeech 2022
SSRN Electronic Journal
IEEE/ACM Transactions on Audio Speech and Language Processing

Shujie Liu has collaborated extensively with other researchers, including Jinyu Li, Long Zhou, Furu Wei, Sanyuan Chen, and Chengyi Wang. These frequent coauthors highlight a collaborative approach in advancing research within related domains.

The main research topics covered by Shujie Liu's work include:

Speech Recognition and Synthesis
Music and Audio Processing
Speech and Audio Processing
Natural Language Processing Techniques
Topic Modeling
Speech and dialogue systems
Drilling and Well Engineering

Recent papers showcase contributions across various aspects of speech and code processing. Notable works include:

"WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing," 2022, published in IEEE Journal of Selected Topics in Signal Processing
"CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation," 2021, published on arXiv (Cornell University)
"Progress in Neural NLP: Modeling, Learning, and Reasoning," 2020, published in Engineering
"CodeBLEU: a Method for Automatic Evaluation of Code Synthesis," 2020, published on arXiv (Cornell University)
"Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers," 2023, published on arXiv (Cornell University)

The breadth of Shujie Liu's work is evident in the diversity of subfields, with publications spanning artificial intelligence, signal processing, mechanical engineering, ocean engineering, and mechanics of materials. This range indicates engagement with multiple technical dimensions within and adjacent to speech and language technologies.

Combined, this information depicts a researcher active in advancing computational methods for speech and language, supported by collaborations and frequent contributions to prominent conferences and journals in related scientific domains.

Best Publications

WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

Sanyuan Chen;Chengyi Wang;Zhengyang Chen;Yu Wu

1378
Citations
Achieving Human Parity on Automatic Chinese to English News Translation

Hany Hassan;Anthony Aue;Chang Chen;Vishal Chowdhary

683
Citations
Neural Speech Synthesis with Transformer Network.

Naihan Li;Shujie Liu;Yanqing Liu;Sheng Zhao

683
Citations
GraphCodeBERT: Pre-training Code Representations with Data Flow

Daya Guo;Shuo Ren;Shuai Lu;Zhangyin Feng

476
Citations
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Shuai Lu;Daya Guo;Shuo Ren;Junjie Huang

443
Citations
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Shuai Lu;Daya Guo;Shuo Ren;Junjie Huang

419
Citations
Machine Translation

Unknown

352
Citations
Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

Unknown

319
Citations
Progress in Neural NLP: Modeling, Learning, and Reasoning

Ming Zhou;Nan Duan;Shujie Liu;Heung Yeung Shum

249
Citations
A Recursive Recurrent Neural Network for Statistical Machine Translation

Shujie Liu;Nan Yang;Mu Li;Ming Zhou

222
Citations
CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

Shuo Ren;Daya Guo;Shuai Lu;Long Zhou

185
Citations
Developing Real-Time Streaming Transformer Transducer for Speech Recognition on Large-Scale Dataset

Xie Chen;Yu Wu;Zhenghao Wang;Shujie Liu

176
Citations
Hierarchical Recurrent Neural Network for Document Modeling

Rui Lin;Shujie Liu;Muyun Yang;Mu Li

175
Citations
Learning Entity Representation for Entity Disambiguation

Zhengyan He;Shujie Liu;Mu Li;Ming Zhou

169
Citations
GraphCodeBERT: Pre-training Code Representations with Data Flow

Daya Guo;Shuo Ren;Shuai Lu;Zhangyin Feng

154
Citations
Style Transfer as Unsupervised Machine Translation

Zhirui Zhang;Shuo Ren;Shujie Liu;Jianyong Wang

151
Citations
Virtual View Reconstruction Using Temporal Information

Shujie Liu;Philip A. Chou;Cha Zhang;Zhengyou Zhang

143
Citations
Bilingually-constrained Phrase Embeddings for Machine Translation

Jiajun Zhang;Shujie Liu;Mu Li;Ming Zhou

137
Citations
On the Comparison of Popular End-to-End Models for Large Scale Speech Recognition.

Jinyu Li;Yu Wu;Yashesh Gaur;Chengyi Wang

134
Citations
Continuous Speech Separation with Conformer

Sanyuan Chen;Yu Wu;Zhuo Chen;Jian Wu

128
Citations
Joint Training for Neural Machine Translation Models with Monolingual Data

Zhirui Zhang;Shujie Liu;Mu Li;Ming Zhou

118
Citations
MuTual: A Dataset for Multi-Turn Dialogue Reasoning

Leyang Cui;Yu Wu;Shujie Liu;Yue Zhang

113
Citations
Close to Human Quality TTS with Transformer

Naihan Li;Shujie Liu;Yanqing Liu;Sheng Zhao

106
Citations
Word Alignment Modeling with Context Dependent Deep Neural Network

Nan Yang;Shujie Liu;Mu Li;Ming Zhou

104
Citations
Curriculum Pre-training for End-to-End Speech Translation

Chengyi Wang;Yu Wu;Shujie Liu;Ming Zhou

100
Citations

Frequent Co-Authors

Ming Zhou Langboat Technology

Yu Wu Microsoft Research Asia (China)

Mu Li Amazon (United States)

Jinyu Li Microsoft (United States)

Furu Wei Microsoft (United States)

Nan Duan Microsoft Research Asia (China)

Takuya Yoshioka Microsoft (United States)

Duyu Tang Fudan University

Shuai Ma Beihang University

Daxin Jiang Microsoft (United States)

External Links

Personal website of Shujie Liu

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