World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
35386
World Ranking
2983
National Ranking
405

Overview

Wei Xu is affiliated with Horizon Robotics Inc. in China and has contributed extensively to research in the fields of Economics, Econometrics and Finance, as well as Computer Science. Their work spans several subfields including Computer Vision and Pattern Recognition, Finance, Radiology, Nuclear Medicine and Imaging, Economics and Econometrics, and Accounting.

Their research topics cover a range of areas such as Banking stability, regulation, efficiency; Credit Risk and Financial Regulations; Financial Markets and Investment Strategies; Radiomics and Machine Learning in Medical Imaging; Advanced Neural Network Applications; Corporate Finance and Governance; and COVID-19 diagnosis using AI.

Wei Xu has published several recent papers, including:

  • AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system, 2020, Applied Soft Computing
  • AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system in four weeks, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • Attention-Guided Deep Neural Network With Multi-Scale Feature Fusion for Liver Vessel Segmentation, 2020, IEEE Journal of Biomedical and Health Informatics
  • Deep Neural Networks Offer Morphologic Classification and Diagnosis of Bacterial Vaginosis, 2020, Journal of Clinical Microbiology
  • Automatic deep learning-based colorectal adenoma detection system and its similarities with pathologists, 2020, BMJ Open

Frequent co-authors who have collaborated with Wei Xu include:

  • Yimin Zhou
  • Yi Zhou
  • Chuan Luo
  • Zhengqing Xu
  • Zhongxiao Wang

Wei Xu's work has been disseminated in various publication venues, predominantly in:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Finance Research Letters
  • Applied Soft Computing

Best Publications

  • 3D Convolutional Neural Networks for Human Action Recognition

    Shuiwang Ji;Wei Xu;Ming Yang;Kai Yu

  • Bidirectional LSTM-CRF Models for Sequence Tagging

    Zhiheng Huang;Wei Xu;Kai Yu

  • Document clustering based on non-negative matrix factorization

    Wei Xu;Xin Liu;Yihong Gong

  • Attention to Scale: Scale-Aware Semantic Image Segmentation

    Liang-Chieh Chen;Yi Yang;Jiang Wang;Wei Xu

  • CNN-RNN: A Unified Framework for Multi-label Image Classification

    Jiang Wang;Yi Yang;Junhua Mao;Zhiheng Huang

  • Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)

    Junhua Mao;Junhua Mao;Wei Xu;Yi Yang;Jiang Wang

  • Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks

    Haonan Yu;Jiang Wang;Zhiheng Huang;Yi Yang

  • Explain Images with Multimodal Recurrent Neural Networks.

    Junhua Mao;Wei Xu;Yi Yang;Jiang Wang

  • Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks

    Chunshui Cao;Xianming Liu;Yi Yang;Yinan Yu

  • Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question

    Haoyuan Gao;Junhua Mao;Jie Zhou;Zhiheng Huang

  • End-to-end learning of semantic role labeling using recurrent neural networks

    Jie Zhou;Wei Xu

  • Human Tracking Using Convolutional Neural Networks

    Jialue Fan;Wei Xu;Ying Wu;Yihong Gong

  • SoftCuts: A Soft Edge Smoothness Prior for Color Image Super-Resolution

    Shengyang Dai;Mei Han;Wei Xu;Ying Wu

  • ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering

    Kan Chen;Jiang Wang;Liang-Chieh Chen;Haoyuan Gao

  • Soft Edge Smoothness Prior for Alpha Channel Super Resolution

    Shengyang Dai;Mei Han;Wei Xu;Ying Wu

  • Document clustering by concept factorization

    Wei Xu;Yihong Gong

  • Occlusion Aware Unsupervised Learning of Optical Flow

    Yang Wang;Yi Yang;Zhenheng Yang;Liang Zhao

  • Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding

    Chenxu Luo;Zhenheng Yang;Peng Wang;Yang Wang

  • Multi-labelled classification using maximum entropy method

    Shenghuo Zhu;Xiang Ji;Wei Xu;Yihong Gong

  • Creating natural dialogs in the carnegie mellon communicator system.

    Alexander I. Rudnicky;Eric H. Thayer;Paul C. Constantinides;Chris Tchou

  • Are you talking to a machine? Dataset and methods for multilingual image question answering

    Haoyuan Gao;Junhua Mao;Jie Zhou;Zhiheng Huang

Frequent Co-Authors

Yihong Gong
Yihong Gong Xi'an Jiaotong University
Peng Wang
Peng Wang Baidu (China)
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Alan L. Yuille
Alan L. Yuille Johns Hopkins University
Shuiwang Ji
Shuiwang Ji Texas A&M University
Chang Huang
Chang Huang Horizon Robotics Inc.
Ying Wu
Ying Wu Northwestern University
Ramakant Nevatia
Ramakant Nevatia University of Southern California

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