World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
29023
World Ranking
6970
National Ranking
3049

Overview

Xinglei Chen is affiliated with Facebook in the United States and has an extensive background in computer science research. Their work spans multiple subfields, including computer vision and pattern recognition, artificial intelligence, electrical and electronic engineering, computer networks and communications, and cognitive neuroscience.

The scientist's research topics cover a diverse range, focusing on areas such as domain adaptation and few-shot learning, multimodal machine learning applications, advanced neural network applications, air quality monitoring and forecasting, EEG and brain-computer interfaces, quantum computing algorithms and architecture, and quantum information and cryptography.

Their publication record includes important papers that contribute to the field of computer vision and machine learning. Notable recent works include:

  • An Empirical Study of Training Self-Supervised Vision Transformers, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Exploring Simple Siamese Representation Learning, 2020, arXiv (Cornell University)
  • A flexible triboelectric tactile sensor for simultaneous material and texture recognition, 2021, Nano Energy
  • Image manipulation detection by multiple tampering traces and edge artifact enhancement, 2022, Pattern Recognition
  • PAS: Prediction-Based Actuation System for City-Scale Ridesharing Vehicular Mobile Crowdsensing, 2020, IEEE Internet of Things Journal

Xinglei Chen collaborates frequently with several researchers in the field. Co-authors include Ying Sun, Fan Dang, Dezhi Zheng, Yunhao Liu, and Saining Xie. These collaborators have contributed to a significant portion of their joint research output.

The scientist has published extensively in several venues, highlighting their active engagement with various academic communities. Frequent publication venues include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Mobile Computing
  • IEEE Internet of Things Journal
  • Cancer Research

Xinglei Chen's work focuses primarily on advancing computational models and applications in computer science, particularly in machine learning and vision. Their interdisciplinary research incorporates aspects from engineering and neuroscience, aiming to address complex problems through novel methodologies.

Best Publications

  • Exploring Simple Siamese Representation Learning

    Xinlei Chen;Kaiming He

  • Improved Baselines with Momentum Contrastive Learning

    Xinlei Chen;Haoqi Fan;Ross B. Girshick;Kaiming He

  • Microsoft COCO Captions: Data Collection and Evaluation Server

    Xinlei Chen;Hao Fang;Tsung-Yi Lin;Ramakrishna Vedantam

  • An Empirical Study of Training Self-Supervised Vision Transformers

    Xinlei Chen;Saining Xie;Kaiming He

  • ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders

    Unknown

  • Never-ending learning

    T. Mitchell;W. Cohen;E. Hruschka;P. Talukdar

  • Never-ending learning

    T. Mitchell;W. Cohen;E. Hruschka;P. Talukdar

  • Visualizing and Understanding Neural Models in NLP

    Jiwei Li;Xinlei Chen;Eduard H. Hovy;Dan Jurafsky

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

    Xinlei Chen;C. Lawrence Zitnick

  • NEIL: Extracting Visual Knowledge from Web Data

    Xinlei Chen;Abhinav Shrivastava;Abhinav Gupta

  • Large scale spectral clustering with landmark-based representation

    Xinlei Chen;Deng Cai

  • Towards VQA Models That Can Read

    Amanpreet Singh;Vivek Natarajan;Meet Shah;Yu Jiang

  • Webly Supervised Learning of Convolutional Networks

    Xinlei Chen;Abhinav Gupta

  • TensorMask: A Foundation for Dense Object Segmentation

    Xinlei Chen;Ross Girshick;Kaiming He;Piotr Dollar

  • In Defense of Grid Features for Visual Question Answering

    Huaizu Jiang;Ishan Misra;Marcus Rohrbach;Erik Learned-Miller

  • Large Scale Spectral Clustering Via Landmark-Based Sparse Representation

    Deng Cai;Xinlei Chen

  • ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes

    Charles R. Qi;Xinlei Chen;Or Litany;Leonidas J. Guibas

  • Learning a Recurrent Visual Representation for Image Caption Generation

    Xinlei Chen;C. Lawrence Zitnick

  • nocaps: novel object captioning at scale

    Harsh Agrawal;Peter Anderson;Karan Desai;Yufei Wang

  • nocaps: novel object captioning at scale.

    Harsh Agrawal;Karan Desai;Yufei Wang;Xinlei Chen

  • Iterative Visual Reasoning Beyond Convolutions

    Xinlei Chen;Li-Jia Li;Li Fei-Fei;Abhinav Gupta

Frequent Co-Authors

Abhinav Gupta
Abhinav Gupta Carnegie Mellon University
Devi Parikh
Devi Parikh Facebook (United States)
Dhruv Batra
Dhruv Batra Georgia Institute of Technology
Marcus Rohrbach
Marcus Rohrbach Facebook (United States)
Kaiming He
Kaiming He Facebook (United States)
Ross Girshick
Ross Girshick Facebook (United States)
Piotr Dollar
Piotr Dollar Facebook (United States)
Yuandong Tian
Yuandong Tian Facebook (United States)
Deng Cai
Deng Cai Zhejiang University
C. Lawrence Zitnick
C. Lawrence Zitnick Facebook (United States)

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