Yuanpu Xie

According to our database1, Yuanpu Xie authored at least 26 papers between 2015 and 2020.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline.
CoRR, 2020

Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter's Home Timeline.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

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

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

Deep Learning for Muscle Pathology Image Analysis.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018
Deep Learning in Microscopy Image Analysis: A Survey.
IEEE Trans. Neural Networks Learn. Syst., 2018

AIIMDs: An Integrated Framework of Automatic Idiopathic Inflammatory Myopathy Diagnosis for Muscle.
IEEE J. Biomed. Health Informatics, 2018

Efficient and robust cell detection: A structured regression approach.
Medical Image Anal., 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

2017
Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Supervised graph hashing for histopathology image retrieval and classification.
Medical Image Anal., 2017

Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function.
CoRR, 2017

Cell Encoding for Histopathology Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks.
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

Deep Voting and Structured Regression for Microscopy Image Analysis.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2016
An Automatic Learning-Based Framework for Robust Nucleus Segmentation.
IEEE Trans. Medical Imaging, 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

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

2015
Beyond Classification: Structured Regression for Robust Cell Detection Using Convolutional Neural Network.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Deep Voting: A Robust Approach Toward Nucleus Localization in Microscopy Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Robust Cell Detection and Segmentation in Histopathological Images Using Sparse Reconstruction and Stacked Denoising Autoencoders.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Region segmentation in histopathological breast cancer images using deep convolutional neural network.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015


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