H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 71 Citations 28,315 205 World Ranking 778 National Ranking 63

Research.com Recognitions

Awards & Achievements

2014 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to pattern recognition and manifold learning

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Pattern recognition

His primary scientific interests are in Artificial intelligence, Pattern recognition, Linear discriminant analysis, Dimensionality reduction and Subspace topology. His research is interdisciplinary, bridging the disciplines of Machine learning and Artificial intelligence. His Pattern recognition research includes elements of Facial recognition system, Data point, Cluster analysis and Manifold.

His work carried out in the field of Linear discriminant analysis brings together such families of science as Regression analysis and Regularization. The study incorporates disciplines such as Optimization problem and Discriminative model in addition to Dimensionality reduction. He has included themes like Principal component analysis and Projection in his Subspace topology study.

His most cited work include:

  • Locality Preserving Projections (3394 citations)
  • Face recognition using Laplacianfaces (2852 citations)
  • Graph Regularized Nonnegative Matrix Factorization for Data Representation (1506 citations)

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

His main research concerns Artificial intelligence, Pattern recognition, Machine learning, Information retrieval and Dimensionality reduction. His research on Artificial intelligence frequently connects to adjacent areas such as Computer vision. The various areas that Xiaofei He examines in his Pattern recognition study include Facial recognition system and Data mining.

His Information retrieval study incorporates themes from Graph and Web page. His Dimensionality reduction research incorporates themes from Unsupervised learning, Latent semantic indexing, Curse of dimensionality and Feature vector. The Subspace topology study combines topics in areas such as Embedding and Projection.

He most often published in these fields:

  • Artificial intelligence (61.73%)
  • Pattern recognition (37.45%)
  • Machine learning (20.99%)

What were the highlights of his more recent work (between 2016-2021)?

  • Artificial intelligence (61.73%)
  • Machine learning (20.99%)
  • Natural language processing (4.12%)

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

Xiaofei He spends much of his time researching Artificial intelligence, Machine learning, Natural language processing, Pattern recognition and Information retrieval. His work is connected to Feature extraction, Benchmark, Feature, Discriminative model and Representation, as a part of Artificial intelligence. His work on Feature learning, Re identification and Active learning as part of general Machine learning research is frequently linked to Random walk, bridging the gap between disciplines.

He combines Pattern recognition and Focus in his research. His Question answering and Ranking study in the realm of Information retrieval interacts with subjects such as Encoder, Social influence and Beta distribution. His study in Cluster analysis is interdisciplinary in nature, drawing from both Nonlinear dimensionality reduction, Manifold and Subspace topology.

Between 2016 and 2021, his most popular works were:

  • Robust Structured Nonnegative Matrix Factorization for Image Representation (115 citations)
  • Weakly-Supervised Deep Embedding for Product Review Sentiment Analysis (63 citations)
  • Video Question Answering via Hierarchical Spatio-Temporal Attention Networks (62 citations)

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

  • Artificial intelligence
  • Machine learning
  • Algorithm

Xiaofei He mainly focuses on Artificial intelligence, Natural language processing, Information retrieval, Question answering and Theoretical computer science. Many of his studies on Artificial intelligence apply to Machine learning as well. Xiaofei He interconnects Object and DUAL in the investigation of issues within Information retrieval.

His work deals with themes such as Relation, Graph, Knowledge graph and Graph, which intersect with Theoretical computer science. His study explores the link between Training set and topics such as Face that cross with problems in Pattern recognition. His Pattern recognition research focuses on Optimization problem and how it connects with Robustness.

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

Locality Preserving Projections

Xiaofei He;Partha Niyogi.
neural information processing systems (2003)

6114 Citations

Face recognition using Laplacianfaces

Xiaofei He;Shuicheng Yan;Yuxiao Hu;P. Niyogi.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2005)

3947 Citations

Laplacian Score for Feature Selection

Xiaofei He;Deng Cai;Partha Niyogi.
neural information processing systems (2005)

1820 Citations

Neighborhood preserving embedding

Xiaofei He;Deng Cai;Shuicheng Yan;Hong-Jiang Zhang.
international conference on computer vision (2005)

1785 Citations

Graph Regularized Nonnegative Matrix Factorization for Data Representation

Deng Cai;Xiaofei He;Jiawei Han;T S Huang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2011)

1667 Citations

Unsupervised feature selection for multi-cluster data

Deng Cai;Chiyuan Zhang;Xiaofei He.
knowledge discovery and data mining (2010)

892 Citations

Orthogonal Laplacianfaces for Face Recognition

Deng Cai;Xiaofei He;Jiawei Han;Hong-Jiang Zhang.
IEEE Transactions on Image Processing (2006)

878 Citations

Semi-supervised Discriminant Analysis

Deng Cai;Xiaofei He;Jiawei Han.
international conference on computer vision (2007)

717 Citations

Document clustering using locality preserving indexing

D. Cai;X. He;J. Han.
IEEE Transactions on Knowledge and Data Engineering (2005)

714 Citations

Locality sensitive discriminant analysis

Deng Cai;Xiaofei He;Kun Zhou;Jiawei Han.
international joint conference on artificial intelligence (2007)

583 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.

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

Contact us

Top Scientists Citing Xiaofei He

Dacheng Tao

Dacheng Tao

University of Sydney

Publications: 178

Feiping Nie

Feiping Nie

Northwestern Polytechnical University

Publications: 163

Xuelong Li

Xuelong Li

Northwestern Polytechnical University

Publications: 151

Shuicheng Yan

Shuicheng Yan

National University of Singapore

Publications: 95

Yun Fu

Yun Fu

Northeastern University

Publications: 92

Zhao Zhang

Zhao Zhang

Hefei University of Technology

Publications: 80

Yuan Yan Tang

Yuan Yan Tang

University of Macau

Publications: 75

Thomas S. Huang

Thomas S. Huang

University of Illinois at Urbana-Champaign

Publications: 71

Zhihui Lai

Zhihui Lai

Shenzhen University

Publications: 70

David Zhang

David Zhang

Chinese University of Hong Kong, Shenzhen

Publications: 68

Yueting Zhuang

Yueting Zhuang

Zhejiang University

Publications: 64

Yi Yang

Yi Yang

Zhejiang University

Publications: 64

Meng Wang

Meng Wang

Hefei University of Technology

Publications: 60

Ling Shao

Ling Shao

Inception Institute of Artificial Intelligence

Publications: 59

Deng Cai

Deng Cai

Zhejiang University

Publications: 57

Something went wrong. Please try again later.