Shijie Zhao

Orcid: 0000-0001-9102-5294

Affiliations:
  • Northwestern Polytechnical University, School of Automation, Xi'an, China
  • University of Georgia, Department of Computer Science and Bioimaging Research Center, Cortical Architecture Imaging and Discovery Lab, Athens, GA, USA


According to our database1, Shijie Zhao authored at least 78 papers between 2014 and 2024.

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Bibliography

2024
D<sup>3</sup>C<sup>2</sup>-Net: Dual-Domain Deep Convolutional Coding Network for Compressive Sensing.
IEEE Trans. Circuits Syst. Video Technol., October, 2024

An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

End-to-End Prediction of EGFR Mutation Status With Denseformer.
IEEE J. Biomed. Health Informatics, January, 2024

Task sub-type states decoding via group deep bidirectional recurrent neural network.
Medical Image Anal., 2024

MambaCSR: Dual-Interleaved Scanning for Compressed Image Super-Resolution With SSMs.
CoRR, 2024

Potential of Multimodal Large Language Models for Data Mining of Medical Images and Free-text Reports.
CoRR, 2024

Invertible Diffusion Models for Compressed Sensing.
CoRR, 2024

Optimal Transcoding Resolution Prediction for Efficient Per-Title Bitrate Ladder Estimation.
CoRR, 2024

ResVR: Joint Rescaling and Viewport Rendering of Omnidirectional Images.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Deep Linear Matrix Approximate Reconstruction Reveals Reproducible Large-Scale Functional Connectivity Networks in the Human Brain.
Proceedings of the 1st International Workshop on Multimedia Computing for Health and Medicine, 2024

MoE-DiffIR: Task-Customized Diffusion Priors for Universal Compressed Image Restoration.
Proceedings of the Computer Vision - ECCV 2024, 2024

Optimal Transcoding Resolution Prediction for Efficient Per-Title Bitrate Ladder Estimation.
Proceedings of the Data Compression Conference, 2024

PromptCIR: Blind Compressed Image Restoration with Prompt Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Self-Supervised Interactive Embedding for One-Shot Organ Segmentation.
IEEE Trans. Biomed. Eng., October, 2023

Arousal modulates the amygdala-insula reciprocal connectivity during naturalistic emotional movie watching.
NeuroImage, October, 2023

Functional brain network identification and fMRI augmentation using a VAE-GAN framework.
Comput. Biol. Medicine, October, 2023

Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural network.
Neural Networks, August, 2023

Dynamic multi-site graph convolutional network for autism spectrum disorder identification.
Comput. Biol. Medicine, May, 2023

A multi-task SCCA method for brain imaging genetics and its application in neurodegenerative diseases.
Comput. Methods Programs Biomed., April, 2023

An explainable deep learning framework for characterizing and interpreting human brain states.
Medical Image Anal., 2023

Holistic Evaluation of GPT-4V for Biomedical Imaging.
CoRR, 2023

ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data.
CoRR, 2023

Evaluating Large Language Models for Radiology Natural Language Processing.
CoRR, 2023

Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling.
CoRR, 2023

Frequency-Assisted Adaptive Sharpening Scheme Considering Bitrate and Quality Tradeoff.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Video Compression with Arbitrary Rescaling Network.
Proceedings of the Data Compression Conference, 2023

NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

OPDN: Omnidirectional Position-aware Deformable Network for Omnidirectional Image Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Hybrid Transformer and CNN Attention Network for Stereo Image Super-resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023


Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Panoramic Video Salient Object Detection with Ambisonic Audio Guidance.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Functional Brain Networks Underlying Auditory Saliency During Naturalistic Listening Experience.
IEEE Trans. Cogn. Dev. Syst., 2022

Gumbel-Softmax based Neural Architecture Search for Hierarchical Brain Networks Decomposition.
Medical Image Anal., 2022

Fully transformer network for skin lesion analysis.
Medical Image Anal., 2022

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results.
CoRR, 2022

Discovering Dynamic Functional Brain Networks via Spatial and Channel-wise Attention.
CoRR, 2022

Learning brain representation using recurrent Wasserstein generative adversarial net.
Comput. Methods Programs Biomed., 2022

Decoding Task Sub-type States with Group Deep Bidirectional Recurrent Neural Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Graph Representation Neural Architecture Search for Optimal Spatial/Temporal Functional Brain Network Decomposition.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Invertible Single Image Rescaling via Steganography.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022


Multi-patch Learning: Looking More Pixels in the Training Phase.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022


2021
Eliminating Indefiniteness of Clinical Spectrum for Better Screening COVID-19.
IEEE J. Biomed. Health Informatics, 2021

NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results.
CoRR, 2021

Joint Funds of the National Natural Science Foundation of China: a review of information sciences between 2011 and 2020.
Sci. China Inf. Sci., 2021

Hierarchical and Global Modality Interaction for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020
Four-Dimensional Modeling of fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNNs).
IEEE Trans. Cogn. Dev. Syst., 2020

Modeling Brain Diverse and Complex Hemodynamic Response Patterns via Deep Recurrent Autoencoder.
IEEE Trans. Cogn. Dev. Syst., 2020

Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning.
Brain Connect., 2020

Supervised Brain Network Learning Based on Deep Recurrent Neural Networks.
IEEE Access, 2020

2019
Recognizing Brain States Using Deep Sparse Recurrent Neural Network.
IEEE Trans. Medical Imaging, 2019

Identifying Brain Networks at Multiple Time Scales via Deep Recurrent Neural Network.
IEEE J. Biomed. Health Informatics, 2019

Training a Camera to Perform Long-Distance Eye Tracking by Another Eye-Tracker.
IEEE Access, 2019

Exploring Brain Hemodynamic Response Patterns via Deep Recurrent Autoencoder.
Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

Identify Hierarchical Structures from Task-Based fMRI Data via Hybrid Spatiotemporal Neural Architecture Search Net.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

A Task Performance-guided Model of Functional Networks Identification.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Modeling Task fMRI Data Via Deep Convolutional Autoencoder.
IEEE Trans. Medical Imaging, 2018

Temporal Dynamics Assessment of Spatial Overlap Pattern of Functional Brain Networks Reveals Novel Functional Architecture of Cerebral Cortex.
IEEE Trans. Biomed. Eng., 2018

Decoding Auditory Saliency from Brain Activity Patterns during Free Listening to Naturalistic Audio Excerpts.
Neuroinformatics, 2018

Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN).
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Identifying Brain Networks of Multiple Time Scales via Deep Recurrent Neural Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Characterizing task-evoked and intrinsic functional networks from task-based fMRI data via two-stage sparse dictionary learning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Modeling task fMRI data via mixture of deep expert networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Exploring intrinsic networks and their interactions using group wise temporal sparse coding.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Decoding dynamic auditory attention during naturalistic experience.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Exploring Brain Networks via Structured Sparse Representation of fMRI Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

A Multi-stage Sparse Coding Framework to Explore the Effects of Prenatal Alcohol Exposure.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Temporal Concatenated Sparse Coding of Resting State fMRI Data Reveal Network Interaction Changes in mTBI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Modeling Functional Dynamics of Cortical Gyri and Sulci.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Exploring auditory network composition during free listening to audio excerpts via group-wise sparse representation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

2015
Supervised Dictionary Learning for Inferring Concurrent Brain Networks.
IEEE Trans. Medical Imaging, 2015

Holistic Atlases of Functional Networks and Interactions Reveal Reciprocal Organizational Architecture of Cortical Function.
IEEE Trans. Biomed. Eng., 2015

HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI).
Brain Informatics, 2015

Signal sampling for efficient sparse representation of resting state FMRI data.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Decoding Auditory Saliency from FMRI Brain Imaging.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014


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