World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
9868
World Ranking
5366
National Ranking
2456

Overview

Qi Zhao is affiliated with the University of Minnesota in the United States and has an extensive publication record spanning computer science and neuroscience domains. Their research integrates multiple disciplines primarily focusing on machine learning applications and neural engineering.

Their recent papers cover various specialized topics, including neuroprosthetics and visual social relationship recognition. Notable publications include:

  • "A bioelectric neural interface towards intuitive prosthetic control for amputees," 2020, Journal of Neural Engineering
  • "A Portable, Self-Contained Neuroprosthetic Hand with Deep Learning-Based Finger Control," 2021, arXiv (Cornell University)
  • "Visual Social Relationship Recognition," 2020, International Journal of Computer Vision
  • "Deep Learning-Based Approaches for Decoding Motor Intent From Peripheral Nerve Signals," 2021, Frontiers in Neuroscience
  • "Comparative Study of 3D Point Cloud Compression Methods," 2021, 2021 IEEE International Conference on Big Data (Big Data)

Frequent collaborators in Qi Zhao's work include Ming Jiang, Mohan Kankanhalli, Zhi Yang, Shi Chen, and Jinhui Yang, indicating a diverse network of coauthors across related research fields.

The most common venues for their publications reflect a strong presence in leading journals and conferences in machine learning, neural engineering, and computer vision:

  • arXiv (Cornell University)
  • Journal of Neural Engineering
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • bioRxiv (Cold Spring Harbor Laboratory)

Qi Zhao's scholarly output primarily contributes to the fields of computer science and neuroscience. Their work within computer science frequently intersects with subfields such as computer vision and pattern recognition as well as artificial intelligence. In neuroscience, focus areas include cognitive neuroscience and biomedical engineering.

Within these areas, their research topics encompass a variety of specialized subjects, including:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Muscle activation and electromyography studies
  • Visual Attention and Saliency Detection
  • EEG and Brain-Computer Interfaces
  • Advanced Image and Video Retrieval Techniques
  • Neuroscience and Neural Engineering

Best Publications

  • SALICON: Saliency in Context

    Ming Jiang;Shengsheng Huang;Juanyong Duan;Qi Zhao

  • SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks

    Xun Huang;Chengyao Shen;Xavier Boix;Qi Zhao

  • Atypical Visual Saliency in Autism Spectrum Disorder Quantified through Model-Based Eye Tracking

    Shuo Wang;Ming Jiang;Xavier Morin Duchesne;Elizabeth A. Laugeson

  • Predicting human gaze beyond pixels

    Juan Xu;Ming Jiang;Shuo Wang;Mohan S. Kankanhalli

  • Co-Tracking Using Semi-Supervised Support Vector Machines

    Feng Tang;S. Brennan;Qi Zhao;Hai Tao

  • Learning a saliency map using fixated locations in natural scenes.

    Qi Zhao;Christof Koch;Christof Koch

  • Learning to Learn From Noisy Labeled Data

    Junnan Li;Yongkang Wong;Qi Zhao;Mohan S. Kankanhalli

  • Antibiotics in Drinking Water in Shanghai and Their Contribution to Antibiotic Exposure of School Children.

    Hexing Wang;Na Wang;Bin Wang;Qi Zhao

  • VisDrone-DET2021: The Vision Meets Drone Object Detection Challenge Results

    Yaru Cao;Zhijian He;Lujia Wang;Wenguan Wang

  • A Closed-Form Solution to Retinex with Nonlocal Texture Constraints

    Qi Zhao;Ping Tan;Qiang Dai;Li Shen

  • Probabilistic Graphlet Transfer for Photo Cropping

    Luming Zhang;Mingli Song;Qi Zhao;Xiao Liu

  • Foveation-based Mechanisms Alleviate Adversarial Examples

    Yan Luo;Xavier Boix;Gemma Roig;Tomaso A. Poggio

  • Learning Visual Attention to Identify People with Autism Spectrum Disorder

    Ming Jiang;Qi Zhao

  • Emotional Attention: A Study of Image Sentiment and Visual Attention

    Shaojing Fan;Zhiqi Shen;Ming Jiang;Bryan L. Koenig

  • Differential Earth Mover's Distance with Its Applications to Visual Tracking

    Qi Zhao;Zhi Yang;Hai Tao

  • Weakly Supervised Photo Cropping

    Luming Zhang;Mingli Song;Yi Yang;Qi Zhao

  • Learning to Detect Human-Object Interactions With Knowledge

    Bingjie Xu;Yongkang Wong;Junnan Li;Qi Zhao

  • Learning saliency-based visual attention: A review

    Qi Zhao;Christof Koch

  • Urinary Antibiotics of Pregnant Women in Eastern China and Cumulative Health Risk Assessment

    Hexing Wang;Na Wang;Junhua Qian;Lingyun Hu

  • Shallowing Deep Networks: Layer-Wise Pruning Based on Feature Representations

    Shi Chen;Qi Zhao

  • Estimation of intrinsic image sequences from image+depth video

    Kyong Joon Lee;Qi Zhao;Xin Tong;Minmin Gong

Frequent Co-Authors

Mohan S. Kankanhalli
Mohan S. Kankanhalli National University of Singapore
Christof Koch
Christof Koch Allen Institute for Brain Science
Barbara J. Sahakian
Barbara J. Sahakian University of Cambridge
Jiashi Feng
Jiashi Feng ByteDance
Mingli Song
Mingli Song Zhejiang University
Joo-Hwee Lim
Joo-Hwee Lim Agency for Science, Technology and Research
Jianfeng Feng
Jianfeng Feng Fudan University
Sven Hoffner
Sven Hoffner Karolinska Institute
Wentai Liu
Wentai Liu University of California, Los Angeles
Nawi Ng
Nawi Ng University of Gothenburg

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