H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 30 Citations 3,410 125 World Ranking 8509 National Ranking 791

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Programming language
  • Statistics

His primary scientific interests are in Artificial intelligence, Natural language processing, Information retrieval, Web page and Machine learning. His research in Artificial intelligence intersects with topics in Isolation, Probability distribution and Cache. Shuming Shi has researched Natural language processing in several fields, including Similarity and Inference.

His research investigates the connection with Information retrieval and areas like Ranking which intersect with concerns in Vector space model, Human–computer information retrieval, Cognitive models of information retrieval and Image retrieval. His studies deal with areas such as Class, Corpus based, F1 score and Font as well as Web page. His work on Artificial neural network as part of general Machine learning research is often related to Word problem, thus linking different fields of science.

His most cited work include:

  • Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings (138 citations)
  • Web object retrieval (113 citations)
  • Learning to Remember Translation History with a Continuous Cache (100 citations)

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

Shuming Shi mainly investigates Artificial intelligence, Natural language processing, Machine translation, Information retrieval and Translation. Shuming Shi focuses mostly in the field of Artificial intelligence, narrowing it down to topics relating to Machine learning and, in certain cases, Matching. His work on Syntax, Language model and Phrase as part of his general Natural language processing study is frequently connected to Structure, thereby bridging the divide between different branches of science.

His research in the fields of BLEU overlaps with other disciplines such as Transformer. Information retrieval is closely attributed to Web page in his research. His research integrates issues of NIST and Representation in his study of Translation.

He most often published in these fields:

  • Artificial intelligence (46.73%)
  • Natural language processing (32.16%)
  • Machine translation (22.61%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (46.73%)
  • Natural language processing (32.16%)
  • Machine translation (22.61%)

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

Shuming Shi mostly deals with Artificial intelligence, Natural language processing, Machine translation, Translation and Machine learning. Shuming Shi undertakes multidisciplinary investigations into Artificial intelligence and Conversation in his work. His Natural language processing research includes themes of Artificial neural network and Social media.

His Machine translation study combines topics from a wide range of disciplines, such as Theoretical computer science and Inference. His Translation study combines topics in areas such as NIST, Representation and Reinforcement learning. The various areas that Shuming Shi examines in his Machine learning study include Matching, Training set and Empirical research.

Between 2018 and 2021, his most popular works were:

  • On the Word Alignment from Neural Machine Translation (38 citations)
  • Self-Attention with Structural Position Representations. (29 citations)
  • Generating Multiple Diverse Responses for Short-Text Conversation (21 citations)

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

  • Artificial intelligence
  • Machine learning
  • Programming language

His scientific interests lie mostly in Artificial intelligence, Machine translation, Natural language processing, Translation and Machine learning. His work blends Artificial intelligence and Conversation studies together. His Machine translation research focuses on subjects like Theoretical computer science, which are linked to Pooling, Rule-based machine translation and Key.

His Sentence and Phrase study, which is part of a larger body of work in Natural language processing, is frequently linked to Space, bridging the gap between disciplines. The Translation study combines topics in areas such as NIST, Syntax and Word. His Relevance study in the realm of Machine learning connects with subjects such as Quality.

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.

Top Publications

Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings

Yan Song;Shuming Shi;Jing Li;Haisong Zhang.
north american chapter of the association for computational linguistics (2018)

214 Citations

Web object retrieval

Zaiqing Nie;Yunxiao Ma;Shuming Shi;Ji-Rong Wen.
the web conference (2007)

189 Citations

SOMO: Self-Organized Metadata Overlay for Resource Management in P2P DHT

Zheng Zhang;Shu-Ming Shi;Jing Zhu.
international workshop on peer-to-peer systems (2003)

130 Citations

Learning to Remember Translation History with a Continuous Cache

Zhaopeng Tu;Yang Liu;Shuming Shi;Tong Zhang.
Transactions of the Association for Computational Linguistics (2018)

127 Citations

Automatically Solving Number Word Problems by Semantic Parsing and Reasoning

Shuming Shi;Yuehui Wang;Chin-Yew Lin;Xiaojiang Liu.
empirical methods in natural language processing (2015)

119 Citations

Deep Neural Solver for Math Word Problems

Yan Wang;Xiaojiang Liu;Shuming Shi.
empirical methods in natural language processing (2017)

116 Citations

Making peer-to-peer keyword searching feasible using multi-level partitioning

Shuming Shi;Guangwen Yang;Dingxing Wang;Jin Yu.
international workshop on peer-to-peer systems (2004)

99 Citations

Overview of NTCIR-9 RITE : Recognizing Inference in TExt

Hideki Shima;Hiroshi Kanayama;Cheng-Wei Lee;Chuan-Jie Lin.
Proceedings of the 9th NTCIR Workshop, 2011 (2011)

88 Citations

Title extraction from bodies of HTML documents and its application to web page retrieval

Yunhua Hu;Guomao Xin;Ruihua Song;Guoping Hu.
international acm sigir conference on research and development in information retrieval (2005)

87 Citations

Adding dominant media elements to search results

Ming Jing Li;Shuming Shi;Wei-Ying Ma;Zhiwei Li.
(2008)

86 Citations

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

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Top Scientists Citing Shuming Shi

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Irwin King

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