Xuechen Li

According to our database1, Xuechen Li authored at least 39 papers between 2009 and 2021.

Collaborative distances:



In proceedings 
PhD thesis 


On csauthors.net:


Locality Preserving Robust Regression for Jointly Sparse Subspace Learning.
IEEE Trans. Circuits Syst. Video Technol., 2021

Practical globally optimal consensus maximization by Branch-and-bound based on interval arithmetic.
Pattern Recognit., 2021

Relaxed local preserving regression for image feature extraction.
Multim. Tools Appl., 2021

Learning to Extend Program Graphs to Work-in-Progress Code.
CoRR, 2021

Efficient and Accurate Gradients for Neural SDEs.
CoRR, 2021

Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations.
CoRR, 2021

Neural SDEs as Infinite-Dimensional GANs.
CoRR, 2021

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 Process. Lett., 2020

Global μ-synchronization of impulsive pantograph neural networks.
Neural Networks, 2020

When Does Preconditioning Help or Hurt Generalization?
CoRR, 2020

Stability and Stabilization of Delayed Neural Networks with Hybrid Impulses.
Complex., 2020

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

Research on Stock Selection Strategy Based on AdaBoost Algorithm.
Proceedings of the CSAE 2020: The 4th International Conference on Computer Science and Application Engineering, 2020

Automatic Primary Gross Tumor Volume Segmentation for Nasopharyngeal Carcinoma using ResSE-UNet.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

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

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

PNet: An Efficient Network for Pneumonia Detection.
Proceedings of the 12th International Congress on Image and Signal Processing, 2019

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

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

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

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

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

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