Zizhao Zhang

According to our database1, Zizhao Zhang authored at least 43 papers between 2013 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Low-resolution facial expression recognition: A filter learning perspective.
Signal Process., 2020

Competitive swarm optimizer with mutated agents for finding optimal designs for nonlinear regression models with multiple interacting factors.
Memetic Comput., 2020

PseudoSeg: Designing Pseudo Labels for Semantic Segmentation.
CoRR, 2020

Image Augmentations for GAN Training.
CoRR, 2020

A Simple Semi-Supervised Learning Framework for Object Detection.
CoRR, 2020

Improved Consistency Regularization for GANs.
CoRR, 2020

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence.
CoRR, 2020

Consistency Regularization for Generative Adversarial Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

Distance-Based Learning from Errors for Confidence Calibration.
Proceedings of the 8th International Conference on Learning Representations, 2020

Distilling Effective Supervision From Severe Label Noise.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Loss-Based Attention for Deep Multiple Instance Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Hypergraph-Induced Convolutional Networks for Visual Classification.
IEEE Trans. Neural Networks Learn. Syst., 2019

Exploring High-Order Correlations for Industry Anomaly Detection.
IEEE Trans. Ind. Electron., 2019

Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network.
Medical Image Anal., 2019

Consistency-Based Semi-Supervised Active Learning: Towards Minimizing Labeling Cost.
CoRR, 2019

IEG: Robust Neural Network Training to Tackle Severe Label Noise.
CoRR, 2019

Correction to: Towards pixel-to-pixel deep nucleus detection in microscopy images.
BMC Bioinform., 2019

Towards pixel-to-pixel deep nucleus detection in microscopy images.
BMC Bioinform., 2019

High throughput automatic muscle image segmentation using parallel framework.
BMC Bioinform., 2019

Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Hypergraph Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Inductive Multi-Hypergraph Learning and Its Application on View-Based 3D Object Classification.
IEEE Trans. Image Process., 2018

Revisiting graph construction for fast image segmentation.
Pattern Recognit., 2018

Breast mass classification via deeply integrating the contextual information from multi-view data.
Pattern Recognit., 2018

A Scalable Optimization Mechanism for Pairwise based Discrete Hashing.
CoRR, 2018

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI.
CoRR, 2018

Cross Diffusion on Multi-hypergraph for Multi-modal 3D Object Recognition.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Dynamic Hypergraph Structure Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Photographic Text-to-Image Synthesis With a Hierarchically-Nested Adversarial Network.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

EMD Metric Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection.
CoRR, 2017

Revisiting Graph Construction for Fast Image Segmentation.
CoRR, 2017

TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Spatial Clockwork Recurrent Neural Network for Muscle Perimysium Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Kernel-Based Supervised Discrete Hashing for Image Retrieval.
Proceedings of the Computer Vision - ECCV 2016, 2016

SemiContour: A Semi-Supervised Learning Approach for Contour Detection.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Robust Muscle Cell Quantification Using Structured Edge Detection and Hierarchical Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

2013
Discriminative filter based regression learning for facial expression recognition.
Proceedings of the IEEE International Conference on Image Processing, 2013


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