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 32 Citations 6,136 77 World Ranking 7537 National Ranking 429

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Algebra

His primary areas of investigation include Artificial intelligence, Machine learning, Discriminative model, Pattern recognition and Representation. Convolutional neural network, Deep learning, Training set, Visualization and Feature are among the areas of Artificial intelligence where the researcher is concentrating his efforts. As part of the same scientific family, Xiatian Zhu usually focuses on Deep learning, concentrating on Unsupervised learning and intersecting with Supervised learning, Usability and Feature.

His research investigates the connection between Machine learning and topics such as Variety that intersect with issues in Knowledge extraction, Contextual image classification and Network model. His Discriminative model research incorporates themes from Fuzzy clustering, Spectral clustering, Clustering high-dimensional data, Cluster analysis and Correlation clustering. His work carried out in the field of Pattern recognition brings together such families of science as CURE data clustering algorithm, Ranking, Data mining and Computer vision.

His most cited work include:

  • Harmonious Attention Network for Person Re-identification (458 citations)
  • Person re-identification by video ranking (344 citations)
  • Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification (328 citations)

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

Xiatian Zhu mainly investigates Artificial intelligence, Machine learning, Deep learning, Training set and Discriminative model. Artificial intelligence is closely attributed to Pattern recognition in his work. His work in the fields of Machine learning, such as Convolutional neural network, Supervised learning and Feature, overlaps with other areas such as Scalability.

The study incorporates disciplines such as Object, Artificial neural network and Inference in addition to Deep learning. As a member of one scientific family, Xiatian Zhu mostly works in the field of Training set, focusing on Re identification and, on occasion, Subspace topology, Leverage and Visualization. Xiatian Zhu has researched Discriminative model in several fields, including Pyramid, Feature, Pyramid, Feature selection and Reinforcement learning.

He most often published in these fields:

  • Artificial intelligence (93.58%)
  • Machine learning (63.30%)
  • Deep learning (36.70%)

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

  • Artificial intelligence (93.58%)
  • Machine learning (63.30%)
  • Unsupervised learning (14.68%)

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

His main research concerns Artificial intelligence, Machine learning, Unsupervised learning, Pattern recognition and Identity. His biological study deals with issues like Computer vision, which deal with fields such as Representation. His Machine learning research focuses on Deep learning in particular.

Xiatian Zhu works mostly in the field of Deep learning, limiting it down to concerns involving Discriminative model and, occasionally, Convolutional neural network and Text mining. Xiatian Zhu combines subjects such as Visualization, Partition and Cluster analysis with his study of Unsupervised learning. In his study, which falls under the umbrella issue of Pattern recognition, Pose is strongly linked to Image.

Between 2019 and 2021, his most popular works were:

  • Unsupervised Tracklet Person Re-Identification (42 citations)
  • Distribution-Aware Coordinate Representation for Human Pose Estimation (41 citations)
  • Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers (40 citations)

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

  • Artificial intelligence
  • Machine learning
  • Algebra

His primary areas of investigation include Artificial intelligence, Machine learning, Pattern recognition, Unsupervised learning and Detector. His study in Contextual image classification, Training set, Pascal, Feature extraction and Pose falls under the purview of Artificial intelligence. Xiatian Zhu has included themes like Text mining, Deep learning and Discriminative model in his Training set study.

His Pose research integrates issues from Image and Representation. In the field of Machine learning, his study on Semantic clustering overlaps with subjects such as Stochastic approximation. His research in Unsupervised learning intersects with topics in Visualization, Partition and Cluster analysis.

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

Person re-identification by video ranking

Taiqing Wang;Shaogang Gong;Xiatian Zhu;Shengjin Wang.
european conference on computer vision (2014)

491 Citations

Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification

Jingya Wang;Xiatian Zhu;Shaogang Gong;Wei Li.
computer vision and pattern recognition (2018)

418 Citations

Harmonious Attention Network for Person Re-identification

Wei Li;Xiatian Zhu;Shaogang Gong.
computer vision and pattern recognition (2018)

403 Citations

Person Re-Identification by Deep Joint Learning of Multi-Loss Classification

Wei Li;Xiatian Zhu;Shaogang Gong.
international joint conference on artificial intelligence (2017)

260 Citations

Person Re-identification by Deep Learning Multi-scale Representations

Yanbei Chen;Xiatian Zhu;Shaogang Gong.
international conference on computer vision (2017)

260 Citations

Person Re-Identification by Camera Correlation Aware Feature Augmentation

Ying-Cong Chen;Xiatian Zhu;Wei-Shi Zheng;Jian-Huang Lai.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2018)

242 Citations

Person Re-Identification by Discriminative Selection in Video Ranking

Taiqing Wang;Shaogang Gong;Xiatian Zhu;Shengjin Wang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2016)

229 Citations

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Sixiao Zheng;Jiachen Lu;Hengshuang Zhao;Xiatian Zhu.
computer vision and pattern recognition (2021)

192 Citations

Imbalanced Deep Learning by Minority Class Incremental Rectification

Qi Dong;Shaogang Gong;Xiatian Zhu.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2019)

184 Citations

Knowledge Distillation by On-the-Fly Native Ensemble

xu lan;Xiatian Zhu;Shaogang Gong.
neural information processing systems (2018)

184 Citations

Best Scientists Citing Xiatian Zhu

Qi Tian

Qi Tian

Huawei Technologies (China)

Publications: 48

Yi Yang

Yi Yang

Zhejiang University

Publications: 42

Wei-Shi Zheng

Wei-Shi Zheng

Sun Yat-sen University

Publications: 42

Dacheng Tao

Dacheng Tao

University of Sydney

Publications: 32

Zheng-Jun Zha

Zheng-Jun Zha

University of Science and Technology of China

Publications: 26

Amit K. Roy-Chowdhury

Amit K. Roy-Chowdhury

University of California, Riverside

Publications: 24

Liang Zheng

Liang Zheng

Australian National University

Publications: 24

Jiwen Lu

Jiwen Lu

Tsinghua University

Publications: 22

Wenjun Zeng

Wenjun Zeng

Microsoft (United States)

Publications: 22

Xiao-Yuan Jing

Xiao-Yuan Jing

Wuhan University

Publications: 22

Tao Xiang

Tao Xiang

University of Surrey

Publications: 22

Liang Wang

Liang Wang

Chinese Academy of Sciences

Publications: 18

Jie Zhou

Jie Zhou

Tsinghua University

Publications: 18

Shengcai Liao

Shengcai Liao

Inception Institute of Artificial Intelligence

Publications: 17

Shiguang Shan

Shiguang Shan

Chinese Academy of Sciences

Publications: 17

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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