2026 Yizhou Yu: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	74	1499	1454	205	203	280	21360

Research.com Recognitions

2019 - IEEE Fellow For contributions to geometric and image-based modeling
2018 - ACM Distinguished Member

Overview

Yizhou Yu is affiliated with the University of Hong Kong in China and has conducted research spanning the fields of Computer Science and Medicine. Their work focuses on subfields such as Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pulmonary and Respiratory Medicine, and Neurology.

The scientist's research topics include:

Radiomics and Machine Learning in Medical Imaging
COVID-19 diagnosis using AI
AI in cancer detection
Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
Medical Image Segmentation Techniques

Yizhou Yu has published extensively in prominent venues. Frequent publication platforms include:

arXiv (Cornell University)
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Medical Imaging
Proceedings of the AAAI Conference on Artificial Intelligence
IEEE Transactions on Image Processing

Their recent papers showcase topics in medical image segmentation and multimodal learning approaches. Notable recent publications include:

"nnFormer: Volumetric Medical Image Segmentation via a 3D Transformer," 2023, IEEE Transactions on Image Processing
"nnFormer: Interleaved Transformer for Volumetric Segmentation," 2021, arXiv (Cornell University)
"Cross-modality deep feature learning for brain tumor segmentation," 2020, Pattern Recognition
"A transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics," 2023, Nature Biomedical Engineering
"A deep learning approach to characterize 2019 coronavirus disease (COVID-19) pneumonia in chest CT images," 2020, European Radiology

Collaborations feature frequently with several co-authors including Hong-Yu Zhou, Guanbin Li, Fandong Zhang, Gangming Zhao, and Xiaoguang Han.

Yizhou Yu has been recognized with awards such as:

IEEE Fellow (2019) for contributions to geometric and image-based modeling
ACM Distinguished Member (2018)

Best Publications

Visual saliency based on multiscale deep features

Guanbin Li;Yizhou Yu

1242
Citations
HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition

Zhicheng Yan;Hao Zhang;Robinson Piramuthu;Vignesh Jagadeesh

997
Citations
Neural Style Transfer: A Review

Yongcheng Jing;Yezhou Yang;Zunlei Feng;Jingwen Ye

845
Citations
Efficient View-Dependent Image-Based Rendering with Projective Texture-Mapping

Paul Debevec;Yizhou Yu;George Boshokov

836
Citations
Mesh editing with poisson-based gradient field manipulation

Yizhou Yu;Kun Zhou;Dong Xu;Xiaohan Shi

825
Citations
Deep Contrast Learning for Salient Object Detection

Guanbin Li;Yizhou Yu

818
Citations
Inverse global illumination: recovering reflectance models of real scenes from photographs

Yizhou Yu;Paul Debevec;Jitendra Malik;Tim Hawkins

657
Citations
nnFormer: Volumetric Medical Image Segmentation via a 3D Transformer

Unknown

580
Citations
Visual Saliency Detection Based on Multiscale Deep CNN Features

Guanbin Li;Yizhou Yu

433
Citations
High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference

Xiaoguang Han;Zhen Li;Haibin Huang;Evangelos Kalogerakis

345
Citations
Particle-based simulation of granular materials

Nathan Bell;Yizhou Yu;Peter J. Mucha

323
Citations
Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up

Weifeng Ge;Xiangru Lin;Yizhou Yu

316
Citations
Instance-Level Salient Object Segmentation

Guanbin Li;Yuan Xie;Liang Lin;Yizhou Yu

305
Citations
Feature matching and deformation for texture synthesis

Qing Wu;Yizhou Yu

303
Citations
Automatic Photo Adjustment Using Deep Neural Networks

Zhicheng Yan;Hao Zhang;Baoyuan Wang;Sylvain Paris

297
Citations
Recovering photometric properties of architectural scenes from photographs

Yizhou Yu;Jitendra Malik

280
Citations
FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.

Huikai Wu;Junge Zhang;Kaiqi Huang;Kongming Liang

258
Citations
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-Tuning

Weifeng Ge;Yizhou Yu

249
Citations
Dynamic Graph Attention for Referring Expression Comprehension

Sibei Yang;Guanbin Li;Yizhou Yu

241
Citations
An L1 image transform for edge-preserving smoothing and scene-level intrinsic decomposition

Sai Bi;Xiaoguang Han;Yizhou Yu

235
Citations
Adaptive Context Selection for Polyp Segmentation

Ruifei Zhang;Guanbin Li;Zhen Li;Shuguang Cui

235
Citations
Multi-evidence Filtering and Fusion for Multi-label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning

Weifeng Ge;Sibei Yang;Yizhou Yu

207
Citations
The ACM SIGGRAPH / Eurographics Symposium on Computer Animation

J Chai;Y Yu;T Kim;RW Sumner

37
Citations

Frequent Co-Authors

Guanbin Li Sun Yat-sen University

Yizhou Wang Peking University

Liang Lin Sun Yat-sen University

Xiaoguang Han Chinese University of Hong Kong

Wenping Wang Texas A&M University

Kun Zhou Zhejiang University

Baining Guo Microsoft (United States)

Hao Zhang Simon Fraser University

Yuan Xie Hong Kong University of Science and Technology

Shuguang Cui Chinese University of Hong Kong, Shenzhen

External Links

Personal website of Yizhou Yu Google Scholar page

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