H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 32 Citations 9,453 49 World Ranking 7356 National Ranking 3497

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Mathematics

His primary areas of investigation include Artificial intelligence, Natural language processing, Sentence, Knowledge base and Machine learning. His Artificial intelligence study combines topics in areas such as Contrast and Pattern recognition. The various areas that Xinlei Chen examines in his Natural language processing study include Recurrent neural network, Visual Word, Image, Image retrieval and Task.

His Sentence research includes themes of Principle of compositionality, Semantic property and Salience. His study explores the link between Knowledge base and topics such as Ontology that cross with problems in Data model, Knowledge acquisition and The Internet. His work on Supervised learning and Unsupervised learning as part of general Machine learning study is frequently connected to Code, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.

His most cited work include:

  • Microsoft COCO Captions: Data Collection and Evaluation Server (765 citations)
  • Mind's eye: A recurrent visual representation for image caption generation (390 citations)
  • NEIL: Extracting Visual Knowledge from Web Data (369 citations)

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

Xinlei Chen focuses on Artificial intelligence, Machine learning, Pattern recognition, Natural language processing and Segmentation. In his research, he performs multidisciplinary study on Artificial intelligence and Code. His study in the field of Supervised learning is also linked to topics like Point.

His Pattern recognition research incorporates themes from Pixel and Cluster analysis. In Natural language processing, Xinlei Chen works on issues like Recurrent neural network, which are connected to Visual Word. The Image segmentation research he does as part of his general Segmentation study is frequently linked to other disciplines of science, such as Object, therefore creating a link between diverse domains of science.

He most often published in these fields:

  • Artificial intelligence (76.27%)
  • Machine learning (23.73%)
  • Pattern recognition (23.73%)

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

  • Artificial intelligence (76.27%)
  • Code (15.25%)
  • Machine learning (23.73%)

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

His primary areas of study are Artificial intelligence, Code, Machine learning, Theoretical computer science and Image. His Artificial intelligence study frequently links to adjacent areas such as Computer vision. His work carried out in the field of Machine learning brings together such families of science as Question answering, Minimum bounding box and Closed captioning.

His study looks at the relationship between Theoretical computer science and fields such as Feature learning, as well as how they intersect with chemical problems. Xinlei Chen has researched Image in several fields, including Spurious relationship, Task and Knowledge graph. His Transformer research integrates issues from Variety, Embedding and Natural language processing.

Between 2019 and 2021, his most popular works were:

  • Improved Baselines with Momentum Contrastive Learning (304 citations)
  • Exploring Simple Siamese Representation Learning. (81 citations)
  • ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes (34 citations)

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

  • Artificial intelligence
  • Machine learning
  • Mathematics

His scientific interests lie mostly in Code, Artificial intelligence, Contrast, Momentum and Projection. His Code research spans across into subjects like Feature learning, Image, Similarity, Simple and Structure. His is doing research in Point cloud, Leverage, Object detection, Boosting and Deep learning, both of which are found in Artificial intelligence.

Machine learning covers he research in Contrast.

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

Microsoft COCO Captions: Data Collection and Evaluation Server

Xinlei Chen;Hao Fang;Tsung-Yi Lin;Ramakrishna Vedantam.
arXiv: Computer Vision and Pattern Recognition (2015)

1181 Citations

Improved Baselines with Momentum Contrastive Learning

Xinlei Chen;Haoqi Fan;Ross B. Girshick;Kaiming He.
arXiv: Computer Vision and Pattern Recognition (2020)

1006 Citations

Never-ending learning

T. Mitchell;W. Cohen;E. Hruschka;P. Talukdar.
national conference on artificial intelligence (2015)

753 Citations

Never-ending learning

T. Mitchell;W. Cohen;E. Hruschka;P. Talukdar.
national conference on artificial intelligence (2015)

624 Citations

Visualizing and Understanding Neural Models in NLP

Jiwei Li;Xinlei Chen;Eduard H. Hovy;Dan Jurafsky.
north american chapter of the association for computational linguistics (2016)

500 Citations

Mind's eye: A recurrent visual representation for image caption generation

Xinlei Chen;C. Lawrence Zitnick.
computer vision and pattern recognition (2015)

492 Citations

NEIL: Extracting Visual Knowledge from Web Data

Xinlei Chen;Abhinav Shrivastava;Abhinav Gupta.
international conference on computer vision (2013)

431 Citations

Large scale spectral clustering with landmark-based representation

Xinlei Chen;Deng Cai.
national conference on artificial intelligence (2011)

313 Citations

Learning a Recurrent Visual Representation for Image Caption Generation

Xinlei Chen;C. Lawrence Zitnick.
arXiv: Computer Vision and Pattern Recognition (2014)

231 Citations

Exploring Simple Siamese Representation Learning

Xinlei Chen;Kaiming He.
arXiv: Computer Vision and Pattern Recognition (2020)

221 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 Xinlei Chen

Mohit Bansal

Mohit Bansal

University of North Carolina at Chapel Hill

Publications: 46

Devi Parikh

Devi Parikh

Facebook (United States)

Publications: 44

Chunhua Shen

Chunhua Shen

University of Adelaide

Publications: 43

Dhruv Batra

Dhruv Batra

Georgia Institute of Technology

Publications: 36

Li Fei-Fei

Li Fei-Fei

Stanford University

Publications: 35

Trevor Darrell

Trevor Darrell

University of California, Berkeley

Publications: 33

Ali Farhadi

Ali Farhadi

University of Washington

Publications: 33

Lei Zhang

Lei Zhang

International Digital Economy Academy

Publications: 31

Yi Yang

Yi Yang

Zhejiang University

Publications: 31

Jiebo Luo

Jiebo Luo

University of Rochester

Publications: 30

Anton van den Hengel

Anton van den Hengel

University of Adelaide

Publications: 29

Xiaodan Liang

Xiaodan Liang

Sun Yat-sen University

Publications: 27

Liang Lin

Liang Lin

Sun Yat-sen University

Publications: 27

Wei Liu

Wei Liu

Tencent (China)

Publications: 27

Abhinav Gupta

Abhinav Gupta

Facebook (United States)

Publications: 27

Something went wrong. Please try again later.