D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 42 Citations 9,028 275 World Ranking 4149 National Ranking 386

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Natural language processing

Qun Liu mostly deals with Artificial intelligence, Natural language processing, Machine translation, Speech recognition and Translation. His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning and Pattern recognition. The various areas that Qun Liu examines in his Natural language processing study include Context and Information retrieval.

His Machine translation research incorporates themes from Sentence, Convolutional neural network, Phrase and German. His research in Speech recognition intersects with topics in Segmentation, Word, Text segmentation and Chinese word. His Translation research incorporates elements of Principle of maximum entropy and Decoding methods.

His most cited work include:

  • HHMM-based Chinese Lexical Analyzer ICTCLAS (407 citations)
  • Tree-to-String Alignment Template for Statistical Machine Translation (303 citations)
  • Findings of the 2017 Conference on Machine Translation (WMT17) (276 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Artificial intelligence, Natural language processing, Machine translation, Translation and Speech recognition. His Artificial intelligence study frequently links to adjacent areas such as Machine learning. His biological study spans a wide range of topics, including Dependency and Syntax.

His studies in Machine translation integrate themes in fields like Encoder, Word and Decoding methods. His Translation research is multidisciplinary, relying on both Domain, Theoretical computer science, Pronoun, Task and Algorithm. His study in Speech recognition is interdisciplinary in nature, drawing from both Segmentation and Discriminative model.

He most often published in these fields:

  • Artificial intelligence (77.03%)
  • Natural language processing (56.10%)
  • Machine translation (51.74%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (77.03%)
  • Language model (15.41%)
  • Machine translation (51.74%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Artificial intelligence, Language model, Machine translation, Natural language processing and Machine learning. His Artificial intelligence research integrates issues from Pattern recognition and Source code. His Language model research includes elements of Natural language understanding, Vocabulary, Ranking and Robustness.

Qun Liu combines subjects such as Theoretical computer science, Baseline, Leverage, Speech recognition and Translation with his study of Machine translation. His Sentence, Syntax, Dependency grammar and Spoken language study, which is part of a larger body of work in Natural language processing, is frequently linked to Masking, bridging the gap between disciplines. His work on Artificial neural network as part of general Machine learning research is often related to Simple, thus linking different fields of science.

Between 2019 and 2021, his most popular works were:

  • TinyBERT: Distilling BERT for Natural Language Understanding (62 citations)
  • Word-level Textual Adversarial Attacking as Combinatorial Optimization (43 citations)
  • DynaBERT: Dynamic BERT with Adaptive Width and Depth (20 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Machine learning
  • Operating system

His primary areas of investigation include Artificial intelligence, Language model, Transformer, Natural language processing and Machine learning. His work in the fields of Artificial intelligence, such as Inference, Machine translation and Knowledge graph, overlaps with other areas such as Multi channel. Many of his research projects under Machine translation are closely connected to Information gap with Information gap, tying the diverse disciplines of science together.

Qun Liu usually deals with Language model and limits it to topics linked to Natural language understanding and Probabilistic logic, Speech recognition and Natural language generation. His study in the field of Dependency grammar and Syntax is also linked to topics like Masking and Traditional knowledge. His Machine learning research includes themes of Representation and Vocabulary.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

HHMM-based Chinese Lexical Analyzer ICTCLAS

Hua-Ping Zhang;Hong-Kui Yu;De-Yi Xiong;Qun Liu.
Proceedings of the Second SIGHAN Workshop on Chinese Language Processing (2003)

644 Citations

Findings of the 2017 Conference on Machine Translation (WMT17)

Ondřej Bojar;Rajen Chatterjee;Christian Federmann;Yvette Graham.
Bojar, Ondrej, Chatterjee, Rajen, Federmann, Christian, Graham, Yvette, Haddow, Barry, Huang, Shujian, Huck, Matthias, Koehn, Philipp, Liu, Qun ORCID: 0000-0002-7000-1792 <https://orcid.org/0000-0002-7000-1792>, Logacheva, Varvara, Monz, Christof, Negri, Matteo, Post, Matt, Rubino, Raphael, Specia, Lucia and Turchi, Marco (2017) Findings of the 2017 conference on machine translation (WMT17). In: Second Conference on Machine Translation (WMT17), 7-11 Sept 2017, Copenhagen, Denmark. ISBN 978-1- (2017)

504 Citations

Tree-to-String Alignment Template for Statistical Machine Translation

Yang Liu;Qun Liu;Shouxun Lin.
meeting of the association for computational linguistics (2006)

461 Citations

Maximum Entropy Based Phrase Reordering Model for Statistical Machine Translation

Deyi Xiong;Qun Liu;Shouxun Lin.
meeting of the association for computational linguistics (2006)

327 Citations

ERNIE: Enhanced Language Representation with Informative Entities.

Zhengyan Zhang;Xu Han;Zhiyuan Liu;Xin Jiang.
meeting of the association for computational linguistics (2019)

258 Citations

Word Similarity Computing Based on How-net

Qun Liu;Sujian Li.
(2002)

256 Citations

Forest-Based Translation

Haitao Mi;Liang Huang;Qun Liu.
meeting of the association for computational linguistics (2008)

212 Citations

TinyBERT: Distilling BERT for Natural Language Understanding

Xiaoqi Jiao;Yichun Yin;Lifeng Shang;Xin Jiang.
arXiv: Computation and Language (2019)

205 Citations

Chinese Lexical Analysis Using Hierarchical Hidden Markov Model

Hua-Ping Zhang;Qun Liu;Xue-Qi Cheng;Hao Zhang.
Proceedings of the Second SIGHAN Workshop on Chinese Language Processing (2003)

192 Citations

Improving Statistical Machine Translation Performance by Training Data Selection and Optimization

Yajuan Lu;Jin Huang;Qun Liu.
empirical methods in natural language processing (2007)

156 Citations

Best Scientists Citing Qun Liu

Maosong Sun

Maosong Sun

Tsinghua University

Publications: 61

Eiichiro Sumita

Eiichiro Sumita

National Institute of Information and Communications Technology

Publications: 59

Yue Zhang

Yue Zhang

Westlake University

Publications: 59

Andy Way

Andy Way

Dublin City University

Publications: 49

Yang Liu

Yang Liu

Tsinghua University

Publications: 46

Lucia Specia

Lucia Specia

Imperial College London

Publications: 42

Philipp Koehn

Philipp Koehn

Johns Hopkins University

Publications: 37

Graham Neubig

Graham Neubig

Carnegie Mellon University

Publications: 35

Ting Liu

Ting Liu

Harbin Institute of Technology

Publications: 34

Ming Zhou

Ming Zhou

Sinovation Ventures

Publications: 33

Mu Li

Mu Li

Microsoft (United States)

Publications: 32

Rico Sennrich

Rico Sennrich

University of Zurich

Publications: 30

Wanxiang Che

Wanxiang Che

Harbin Institute of Technology

Publications: 28

Shuming Shi

Shuming Shi

Tencent (China)

Publications: 26

Hai Zhao

Hai Zhao

Shanghai Jiao Tong University

Publications: 25

Kevin Duh

Kevin Duh

Johns Hopkins University

Publications: 25

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

If you think any of the details on this page are incorrect, let us know.

Contact us
Something went wrong. Please try again later.