World's Best Scientists 2026 revealed!

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Computer Science

D-Index
34
Citations
4455
World Ranking
12244
National Ranking
1507

Overview

Xintao Hu is affiliated with Northwestern Polytechnical University in China and has contributed extensively to the fields of neuroscience and artificial intelligence. Their research spans multiple subfields including cognitive neuroscience, computer vision, radiology, nuclear medicine, imaging, and electrical and electronic engineering.

The main areas of study focus on functional brain connectivity, neural dynamics and brain function, EEG and brain-computer interfaces, topic modeling, advanced neuroimaging techniques, visual attention and saliency detection, and advanced memory and neural computing.

Xintao Hu has published frequently in several venues, with the highest number of publications appearing in arXiv (Cornell University), followed by Frontiers in Neuroscience, bioRxiv (Cold Spring Harbor Laboratory), UNC Libraries, and IEEE Transactions on Cognitive and Developmental Systems.

Their recent notable papers include:

  • When brain-inspired AI meets AGI (2023), Meta-Radiology
  • Hyperspectral anomaly detection using ensemble and robust collaborative representation (2023), Information Sciences
  • Test-retest reliability of dynamic functional connectivity in naturalistic paradigm functional magnetic resonance imaging (2021), Human Brain Mapping
  • Understanding LLMs: A comprehensive overview from training to inference (2024), Neurocomputing
  • Understanding Llms: A Comprehensive Overview from Training to Inference (2024), SSRN Electronic Journal

The scientist has collaborated frequently with several researchers, including Tianming Liu, Dajiang Zhu, Tuo Zhang, Xi Jiang, and Lin Zhao.

Best Publications

  • Background Prior-Based Salient Object Detection via Deep Reconstruction Residual

    Junwei Han;Dingwen Zhang;Xintao Hu;Lei Guo

  • Sparse representation of whole-brain fMRI signals for identification of functional networks.

    Jinglei Lv;Xi Jiang;Xiang Li;Dajiang Zhu

  • Representing and Retrieving Video Shots in Human-Centric Brain Imaging Space

    Junwei Han;Xiang Ji;Xintao Hu;Dajiang Zhu

  • Object detection in remote sensing imagery using a discriminatively trained mixture model

    Gong Cheng;Junwei Han;Lei Guo;Xiaoliang Qian

  • Modeling Task fMRI Data Via Deep Convolutional Autoencoder

    Heng Huang;Xintao Hu;Yu Zhao;Milad Makkie

  • DICCCOL: Dense Individualized and Common Connectivity-Based Cortical Landmarks

    Dajiang Zhu;Kaiming Li;Kaiming Li;Lei Guo;Xi Jiang

  • Test-retest reliability of functional connectivity networks during naturalistic fMRI paradigms.

    Jiahui Wang;Yudan Ren;Xintao Hu;Vinh Thai Nguyen

  • Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function

    Jinglei Lv;Xi Jiang;Xiang Li;Dajiang Zhu

  • Fusing DTI and fMRI data: A survey of methods and applications

    Dajiang Zhu;Tuo Zhang;Xi Jiang;Xintao Hu

  • Support vector machine multiparametric MRI identification of pseudoprogression from tumor recurrence in patients with resected glioblastoma.

    Xintao Hu;Kelvin K. Wong;Geoffrey S. Young;Lei Guo

  • Axonal Fiber Terminations Concentrate on Gyri

    Jingxin Nie;Lei Guo;Kaiming Li;Kaiming Li;Yonghua Wang

  • The integration of the internal and external milieu in the insula during dynamic emotional experiences.

    Vinh Thai Nguyen;Michael Breakspear;Xintao Hu;Christine Cong Guo

  • Weakly supervised target detection in remote sensing images based on transferred deep features and negative bootstrapping

    Peicheng Zhou;Gong Cheng;Zhenbao Liu;Shuhui Bu

  • Automatic Recognition of fMRI-Derived Functional Networks Using 3-D Convolutional Neural Networks

    Yu Zhao;Qinglin Dong;Shu Zhang;Wei Zhang

  • Coevolution of Gyral Folding and Structural Connection Patterns in Primate Brains

    Hanbo Chen;Tuo Zhang;Tuo Zhang;Lei Guo;Kaiming Li;Kaiming Li

  • Supervised Dictionary Learning for Inferring Concurrent Brain Networks

    Shijie Zhao;Junwei Han;Jinglei Lv;Xi Jiang

  • Learning Computational Models of Video Memorability from fMRI Brain Imaging

    Junwei Han;Changyuan Chen;Ling Shao;Xintao Hu

  • Latent source mining in FMRI via restricted Boltzmann machine

    Xintao Hu;Heng Huang;Bo Peng;Junwei Han

  • Individualized ROI Optimization via Maximization of Group-wise Consistency of Structural and Functional Profiles

    Kaiming Li;Lei Guo;Carlos Faraco;Dajiang Zhu

  • Task fMRI data analysis based on supervised stochastic coordinate coding

    Jinglei Lv;Binbin Lin;Qingyang Li;Wei Zhang

  • Self-organized interdependence among populations promotes cooperation by means of coevolution.

    Chen Chu;Xintao Hu;Chen Shen;Tong Li

Frequent Co-Authors

Tianming Liu
Tianming Liu University of Georgia
Lei Guo
Lei Guo Beijing University of Posts and Telecommunications
Junwei Han
Junwei Han Northwestern Polytechnical University
Kaiming Li
Kaiming Li Sichuan University
Dajiang Zhu
Dajiang Zhu The University of Texas at Arlington
Stephen T. C. Wong
Stephen T. C. Wong Houston Methodist
Xiaoping Hu
Xiaoping Hu University of California, Riverside
Vincent Mok
Vincent Mok Chinese University of Hong Kong
Adrian Wong
Adrian Wong Chinese University of Hong Kong
Lingjiang Li
Lingjiang Li Central South University

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