Gangming Zhao

Orcid: 0000-0001-8441-5462

According to our database¹, Gangming Zhao authored at least 34 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Clinical Domain Knowledge-Derived Template Improves Post Hoc AI Explanations in Pneumothorax Classification.

[BibT_eX]

[DOI]

CoRR, 2024

Progressive Conservative Adaptation for Evolving Target Domains.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Graph Convolution Based Cross-Network Multiscale Feature Fusion for Deep Vessel Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2023

TeacherLM: Teaching to Fish Rather Than Giving the Fish, Language Modeling Likewise.

[BibT_eX]

[DOI]

CoRR, 2023

Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Dynamic Triple Reweighting Network for Automatic Femoral Head Necrosis Diagnosis from Computed Tomography.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Learning Locality and Isotropy in Dialogue Modeling.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

BEV@DC: Bird's-Eye View Assisted Training for Depth Completion.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Identity-Preserving Talking Face Generation with Landmark and Appearance Priors.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Leveraging Frequency Domain Learning in 3D Vessel Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

START: Automatic Sleep Staging with Attention-based Cross-modal Learning Transformer.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-Ray Images.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Structure Regularized Attentive Network for Automatic Femoral Head Necrosis Diagnosis and Localization.

[BibT_eX]

[DOI]

CoRR, 2022

Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Computer-Aided Tuberculosis Diagnosis with Attribute Reasoning Assistance.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

OneFace: One Threshold for All.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

BOAT: Bilateral Local Attention Vision Transformer.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Deep 3D Vessel Segmentation based on Cross Transformer Network.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Structure Regularized Attentive Network for Automatic Femoral Head Necrosis Diagnosis and Localization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Contralaterally Enhanced Networks for Thoracic Disease Detection.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

Multi-task contrastive learning for automatic CT and X-ray diagnosis of COVID-19.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3D CT Lesions.

[BibT_eX]

[DOI]

CoRR, 2021

GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-ray images.

[BibT_eX]

[DOI]

CoRR, 2021

Cross Chest Graph for Disease Diagnosis with Structural Relational Reasoning.

[BibT_eX]

[DOI]

Gangming Zhao

Baolian Qi

Jinpeng Li

CoRR, 2021

Cross Chest Graph for Disease Diagnosis with Structural Relational Reasoning.

[BibT_eX]

[DOI]

Gangming Zhao

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Multi-scale Matching Networks for Semantic Correspondence.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

GraphFPN: Graph Feature Pyramid Network for Object Detection.

[BibT_eX]

[DOI]

Gangming Zhao

Weifeng Ge

Yizhou Yu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Attribute Relation Modeling for Pulmonary Nodule Malignancy Reasoning.

[BibT_eX]

[DOI]

Stanley T. Yu

Gangming Zhao

Proceedings of the 2nd International Conference on Deep Learning Theory and Applications, 2021

Weakly Supervised Disease Localization in Chest X-rays via Looking into Image Relations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2019

Align, Attend and Locate: Chest X-Ray Diagnosis via Contrast Induced Attention Network With Limited Supervision.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Rethinking ReLU to Train Better CNNs.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Training Better CNNs Requires to Rethink ReLU.

[BibT_eX]

[DOI]

CoRR, 2017

Random Shifting for CNN: a Solution to Reduce Information Loss in Down-Sampling Layers.

[BibT_eX]

[DOI]

Gangming Zhao

Jingdong Wang

Zhaoxiang Zhang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Gangming Zhao

Timeline

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On csauthors.net:

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