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 73 Citations 17,337 287 World Ranking 688 National Ranking 14

Research.com Recognitions

Awards & Achievements

2019 - ACM Distinguished Member

2019 - IEEE Fellow For contributions to machine learning for multimedia information retrieval and scalable data analytics

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

Steven C. H. Hoi spends much of his time researching Artificial intelligence, Machine learning, Image retrieval, Kernel and Pattern recognition. His Artificial intelligence study frequently links to adjacent areas such as Metric. His Machine learning study combines topics in areas such as Contextual image classification, Key and Data mining.

His Image retrieval research incorporates themes from Supervised learning, Boosting and Support vector machine. The Pattern recognition study combines topics in areas such as Feature, Categorization and Graph. Steven C. H. Hoi has researched Content-based image retrieval in several fields, including Convolutional neural network and Relevance feedback.

His most cited work include:

  • Deep Learning for Content-Based Image Retrieval: A Comprehensive Study (565 citations)
  • Batch mode active learning and its application to medical image classification (319 citations)
  • AR-miner: mining informative reviews for developers from mobile app marketplace (317 citations)

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

His scientific interests lie mostly in Artificial intelligence, Machine learning, Pattern recognition, Image retrieval and Data mining. Much of his study explores Artificial intelligence relationship to Computer vision. His work on Online machine learning, Active learning, Support vector machine and Kernel method as part of his general Machine learning study is frequently connected to Scalability, thereby bridging the divide between different branches of science.

His Image retrieval research incorporates elements of Annotation and Information retrieval. His Training set study deals with Contextual image classification intersecting with Feature learning. His Deep learning study incorporates themes from Object detection and Convolutional neural network.

He most often published in these fields:

  • Artificial intelligence (73.14%)
  • Machine learning (48.14%)
  • Pattern recognition (15.16%)

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

  • Artificial intelligence (73.14%)
  • Machine learning (48.14%)
  • Natural language processing (6.12%)

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

His primary areas of investigation include Artificial intelligence, Machine learning, Natural language processing, Deep learning and Benchmark. His research investigates the connection between Artificial intelligence and topics such as Pattern recognition that intersect with issues in Pascal. His work on Supervised learning as part of general Machine learning study is frequently connected to Knowledge transfer, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.

In Natural language processing, he works on issues like Code, which are connected to Embedding. In his work, Closed captioning and Structure is strongly intertwined with Information retrieval, which is a subfield of Benchmark. His studies examine the connections between Training set and genetics, as well as such issues in Semi-supervised learning, with regards to Mixture model and Set.

Between 2019 and 2021, his most popular works were:

  • Deep Learning for Image Super-resolution: A Survey (137 citations)
  • Robust Graph Learning From Noisy Data (102 citations)
  • Deep Learning for Person Re-identification: A Survey and Outlook (85 citations)

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

  • Artificial intelligence
  • Machine learning
  • Statistics

Artificial intelligence, Machine learning, Feature learning, Deep learning and Object are his primary areas of study. His Artificial intelligence research is multidisciplinary, incorporating elements of Pattern recognition, Code and Natural language processing. The Transformer research Steven C. H. Hoi does as part of his general Machine learning study is frequently linked to other disciplines of science, such as Economic shortage, therefore creating a link between diverse domains of science.

Steven C. H. Hoi combines subjects such as Ranking, Metric, Categorization and Data science with his study of Feature learning. His studies deal with areas such as Feature, Baseline, Contextual image classification, Superresolution and Resolution as well as Deep learning. His Object research is multidisciplinary, incorporating perspectives in Class and Segmentation.

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

Deep Learning for Content-Based Image Retrieval: A Comprehensive Study

Ji Wan;Dayong Wang;Steven Chu Hong Hoi;Pengcheng Wu.
acm multimedia (2014)

824 Citations

AR-miner: mining informative reviews for developers from mobile app marketplace

Ning Chen;Jialiu Lin;Steven C. H. Hoi;Xiaokui Xiao.
international conference on software engineering (2014)

473 Citations

Batch mode active learning and its application to medical image classification

Steven C. H. Hoi;Rong Jin;Jianke Zhu;Michael R. Lyu.
international conference on machine learning (2006)

412 Citations

Reliable Patch Trackers: Robust visual tracking by exploiting reliable patches

Yang Li;Jianke Zhu;Steven C.H. Hoi.
computer vision and pattern recognition (2015)

371 Citations

Learning Distance Metrics with Contextual Constraints for Image Retrieval

S.C.H. Hoi;Wei Liu;M.R. Lyu;Wei-Ying Ma.
computer vision and pattern recognition (2006)

355 Citations

Semi-supervised distance metric learning for collaborative image retrieval and clustering

Steven C.h. Hoi;Wei Liu;Shih-Fu Chang.
ACM Transactions on Multimedia Computing, Communications, and Applications (2010)

345 Citations

Semisupervised SVM batch mode active learning with applications to image retrieval

Steven C. H. Hoi;Rong Jin;Jianke Zhu;Michael R. Lyu.
ACM Transactions on Information Systems (2009)

339 Citations

Large-scale text categorization by batch mode active learning

Steven C. H. Hoi;Rong Jin;Michael R. Lyu.
the web conference (2006)

269 Citations

Face detection using deep learning: An improved faster RCNN approach

Xudong Sun;Pengcheng Wu;Steven C.H. Hoi.
Neurocomputing (2018)

260 Citations

LIBOL: a library for online learning algorithms

Steven C. H. Hoi;Jialei Wang;Peilin Zhao.
Journal of Machine Learning Research (2014)

224 Citations

Editorial Boards

Neurocomputing
(Impact Factor: 5.779)

Best Scientists Citing Steven C. H. Hoi

Qi Tian

Qi Tian

Huawei Technologies (China)

Publications: 40

Dacheng Tao

Dacheng Tao

University of Sydney

Publications: 39

Rong Jin

Rong Jin

Alibaba Group (China)

Publications: 34

Meng Wang

Meng Wang

Hefei University of Technology

Publications: 33

Tao Mei

Tao Mei

Jingdong (China)

Publications: 31

Changsheng Xu

Changsheng Xu

Chinese Academy of Sciences

Publications: 26

Michael R. Lyu

Michael R. Lyu

Chinese University of Hong Kong

Publications: 26

Zenglin Xu

Zenglin Xu

Harbin Institute of Technology

Publications: 26

Ling Shao

Ling Shao

Inception Institute of Artificial Intelligence

Publications: 22

Sethuraman Panchanathan

Sethuraman Panchanathan

Arizona State University

Publications: 21

Xindong Wu

Xindong Wu

Hefei University of Technology

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Shuicheng Yan

Shuicheng Yan

National University of Singapore

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Tat-Seng Chua

Tat-Seng Chua

National University of Singapore

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Wangmeng Zuo

Wangmeng Zuo

Harbin Institute of Technology

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Qingming Huang

Qingming Huang

Chinese Academy of Sciences

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Yi Yang

Yi Yang

Zhejiang University

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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.

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