H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 32 Citations 7,367 70 World Ranking 7334 National Ranking 3475

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • The Internet

His main research concerns Speech recognition, Audio signal processing, Artificial intelligence, Automatic summarization and Segmentation. His study in the field of Hidden Markov model also crosses realms of Context. His research brings together the fields of Pattern recognition and Artificial intelligence.

The various areas that Lie Lu examines in his Automatic summarization study include Video tracking, Video content analysis, Semantic analysis, Multimedia and Information extraction. His Segmentation study incorporates themes from Speech coding, Video production, Optical character recognition and Audio mining. His Audio mining research includes elements of Vector quantization and Speaker diarisation.

His most cited work include:

  • A user attention model for video summarization (557 citations)
  • A generic framework of user attention model and its application in video summarization (474 citations)
  • Content analysis for audio classification and segmentation (456 citations)

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

His primary areas of investigation include Speech recognition, Artificial intelligence, Audio signal processing, Pattern recognition and Information retrieval. His Segmentation research extends to the thematically linked field of Speech recognition. His work focuses on many connections between Artificial intelligence and other disciplines, such as Computer vision, that overlap with his field of interest in Computer graphics.

His work on Audio analyzer as part of general Audio signal processing research is frequently linked to Categorization, Radio broadcasting, Unsupervised learning and Cluster analysis, bridging the gap between disciplines. His work in the fields of Similarity measure overlaps with other areas such as Popular music and Context. His research in the fields of Search engine indexing overlaps with other disciplines such as Set, Key and Generative model.

He most often published in these fields:

  • Speech recognition (46.67%)
  • Artificial intelligence (42.67%)
  • Audio signal processing (22.67%)

What were the highlights of his more recent work (between 2006-2018)?

  • Information retrieval (21.33%)
  • Speech recognition (46.67%)
  • Multimedia (17.33%)

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

Information retrieval, Speech recognition, Multimedia, Audio mining and Speech coding are his primary areas of study. His Speech recognition study incorporates themes from Feature, Cluster analysis and Pattern recognition. Lie Lu has included themes like Mobile device, Search engine and Search engine indexing in his Multimedia study.

Lie Lu connects Audio mining with Audio signal processing in his study. His study on Audio signal processing is intertwined with other disciplines of science such as Artificial intelligence and Pattern recognition. His Speech coding research integrates issues from Document retrieval, Acoustic model and Segmentation.

Between 2006 and 2018, his most popular works were:

  • Internet search-based television (136 citations)
  • Mobile Search With Multimodal Queries (48 citations)
  • Music steering with automatically detected musical attributes (44 citations)

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

  • Artificial intelligence
  • Machine learning
  • The Internet

Lie Lu spends much of his time researching Information retrieval, Search engine, Multimedia, Speech recognition and Set. Lie Lu has researched Information retrieval in several fields, including Similarity, Document similarity, Discriminative model and Measure. His Search engine research is multidisciplinary, incorporating elements of Internet video and The Internet.

The concepts of his Multimedia study are interwoven with issues in Voice search, Visual search, Search analytics, Search engine indexing and Internet television. The Speech recognition study combines topics in areas such as Similarity measure, Unsupervised learning and Artificial intelligence. Lie Lu integrates many fields in his works, including Set, Similarity and Engineering.

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

Content analysis for audio classification and segmentation

Lie Lu;Hong-Jiang Zhang;Hao Jiang.
IEEE Transactions on Speech and Audio Processing (2002)

691 Citations

A user attention model for video summarization

Yu-Fei Ma;Lie Lu;Hong-Jiang Zhang;Mingjing Li.
acm multimedia (2002)

679 Citations

Automatic mood detection and tracking of music audio signals

Lie Lu;D. Liu;Hong-Jiang Zhang.
IEEE Transactions on Audio, Speech, and Language Processing (2006)

652 Citations

A generic framework of user attention model and its application in video summarization

Yu-Fei Ma;Xian-Sheng Hua;Lie Lu;Hong-Jiang Zhang.
IEEE Transactions on Multimedia (2005)

569 Citations

A robust audio classification and segmentation method

Lie Lu;Hao Jiang;HongJiang Zhang.
acm multimedia (2001)

367 Citations

Music type classification by spectral contrast feature

Dan-Ning Jiang;Lie Lu;Hong-Jiang Zhang;Jian-Hua Tao.
international conference on multimedia and expo (2002)

364 Citations

Content-based audio classification and segmentation by using support vector machines

Lie Lu;Hong-Jiang Zhang;Stan Z. Li.
Multimedia Systems (2003)

309 Citations

Automatic Mood Detection from Acoustic Music Data

Dan Liu;Lie Lu;Hong-Jiang Zhang.
international symposium/conference on music information retrieval (2003)

276 Citations

Internet search-based television

Frank T. B. Seide;Lie Lu;Neema M. Moraveji;Roger Peng Yu.
(2007)

208 Citations

A flexible framework for key audio effects detection and auditory context inference

R. Cai;Lie Lu;A. Hanjalic;Hong-Jiang Zhang.
IEEE Transactions on Audio, Speech, and Language Processing (2006)

182 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 Lie Lu

Yehoshua Y. Zeevi

Yehoshua Y. Zeevi

Technion – Israel Institute of Technology

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Jingdong (China)

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Hong-Jiang Zhang

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ByteDance

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Changsheng Xu

Changsheng Xu

Chinese Academy of Sciences

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Shipeng Li

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Chinese University of Hong Kong, Shenzhen

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Yi-Hsuan Yang

Yi-Hsuan Yang

Academia Sinica

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Ja-Ling Wu

Ja-Ling Wu

National Taiwan University

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Qingming Huang

Qingming Huang

Chinese Academy of Sciences

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Wei-Ying Ma

Wei-Ying Ma

Tsinghua University

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Shrikanth S. Narayanan

Shrikanth S. Narayanan

University of Southern California

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Shuqiang Jiang

Shuqiang Jiang

Chinese Academy of Sciences

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Wen Gao

Wen Gao

Peking University

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Homer H. Chen

Homer H. Chen

National Taiwan University

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Ali Borji

Ali Borji

Verizon (United States)

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