Xuechen Li

According to our database1, Xuechen Li authored at least 27 papers between 2009 and 2020.

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Bibliography

2020
GORFLM: Globally Optimal Robust Fitting for Linear Model.
Signal Process. Image Commun., 2020

Impulsive-Interaction-Driven Synchronization in an Array of Coupled Neural Networks.
Neural Processing Letters, 2020

When Does Preconditioning Help or Hurt Generalization?
CoRR, 2020

Multi-resolution convolutional networks for chest X-ray radiograph based lung nodule detection.
Artif. Intell. Medicine, 2020

Scalable Gradients for Stochastic Differential Equations.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
A Novel Method for the Absolute Pose Problem with Pairwise Constraints.
Remote. Sens., 2019

Deep learning based early stage diabetic retinopathy detection using optical coherence tomography.
Neurocomputing, 2019

Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond.
CoRR, 2019

Integrating Handcrafted and Deep Features for Optical Coherence Tomography Based Retinal Disease Classification.
IEEE Access, 2019

GO-APSR: A Globally Optimal Affine Point Set Registration Method.
IEEE Access, 2019

Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Scalable Gradients and Variational Inference for Stochastic Differential Equations.
Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019

2018
A Solitary Feature-Based Lung Nodule Detection Approach for Chest X-Ray Radiographs.
IEEE J. Biomed. Health Informatics, 2018

Unified synchronization criteria in an array of coupled neural networks with hybrid impulses.
Neural Networks, 2018

Fast and Globally Optimal Rigid Registration of 3D Point Sets by Transformation Decomposition.
CoRR, 2018

The idemetric property: when most distances are (almost) the same.
CoRR, 2018

Isolating Sources of Disentanglement in Variational Autoencoders.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Optic Disc and Fovea Detection Using Multi-Stage Region-Based Convolutional Neural Network.
Proceedings of the ISICDM 2018: The 2nd International Symposium on Image Computing and Digital Medicine 2018, 2018

Deep learning based gastric cancer identification.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

GT-Net: A Deep Learning Network for Gastric Tumor Diagnosis.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Inference Suboptimality in Variational Autoencoders.
Proceedings of the 35th International Conference on Machine Learning, 2018

2015
Strategies for network security.
Sci. China Inf. Sci., 2015

An Automatic Rib Segmentation Method on X-Ray Radiographs.
Proceedings of the MultiMedia Modeling - 21st International Conference, 2015

Rib suppression in chest radiographs for lung nodule enhancement.
Proceedings of the IEEE International Conference on Information and Automation, 2015

2014
Global core, and galaxy structure of networks.
Sci. China Inf. Sci., 2014

2013
Homophyly and Randomness Resist Cascading Failure in Networks.
CoRR, 2013

2009
Synchronization and Lag Synchronization of Chaotic Networks.
Proceedings of the Advances in Neural Networks, 2009


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