Xiangrui Li

Orcid: 0000-0002-2618-6726

According to our database1, Xiangrui Li authored at least 35 papers between 2009 and 2024.

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

2024
Gender Classification Based on Spatio-Frequency Feature Fusion of OCT Fingerprint Images in the IoT Environment.
IEEE Internet Things J., 2024

Statistical guaranteed noisy tensor recovery by fusing low-rankness on all orientations in frequency-original domains.
Inf. Fusion, 2024

Federated Sequence-to-Sequence Learning for Load Disaggregation from Unbalanced Low-Resolution Smart Meter Data.
CoRR, 2024

2023
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Dataset, November, 2023

Progressive Learning for Unsupervised Change Detection on Aerial Images.
IEEE Trans. Geosci. Remote. Sens., 2023

Learning Compact Features via In-Training Representation Alignment.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Orientation Invariant Tensor Completion In Both Spectual And Space Domains.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2022

2021
Crossfire Conditional Generative Adversarial Networks for Singing Voice Extraction.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

An Unsupervised Framework for Change Detection in Remote Sensing Images.
Proceedings of the 21st International Conference on Communication Technology, 2021

Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Road segmentation with image-LiDAR data fusion in deep neural network.
Multim. Tools Appl., 2020

Unsupervised Self-training Algorithm Based on Deep Learning for Optical Aerial Images Change Detection.
CoRR, 2020

Improve SGD Training via Aligning Mini-batches.
CoRR, 2020

Interpreting Age Effects of Human Fetal Brain from Spontaneous fMRI Using Deep 3D Convolutional Neural Networks.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A Skip Attention Mechanism for Monaural Singing Voice Separation.
IEEE Signal Process. Lett., 2019

Statistical performance of convex low-rank and sparse tensor recovery.
Pattern Recognit., 2019

Deep representation learning for road detection using Siamese network.
Multim. Tools Appl., 2019

CRCEN: A Generalized Cost-sensitive Neural Network Approach for Imbalanced Classification.
CoRR, 2019

Deep Representation Learning for Road Detection through Siamese Network.
CoRR, 2019

Road Segmentation with Image-LiDAR Data Fusion.
CoRR, 2019

Stability and Bifurcation for a Single-Species Model with Delay Weak Kernel and Constant Rate Harvesting.
Complex., 2019

Predicting Task and Subject Differences with Functional Connectivity and Blood-Oxygen-Level-Dependent Variability.
Brain Connect., 2019

Proximal Deep Recurrent Neural Network for Monaural Singing Voice Separation.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Multinomial classification with class-conditional overlapping sparse feature groups.
Pattern Recognit. Lett., 2018

Robust feature selection via <i>l</i><sub>2, 1</sub>-norm in finite mixture of regression.
Pattern Recognit. Lett., 2018

Leveraging auxiliary measures: a deep multi-task neural network for predictive modeling in clinical research.
BMC Medical Informatics Decis. Mak., 2018

2017
SDT: A Tree Method for Detecting Patient Subgroups with Personalized Risk Factors.
Proceedings of the Summit on Clinical Research Informatics, 2017

Predictive deep network with leveraging clinical measure as auxiliary task.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Coherent Low-tubal-Rank Tensor Completion.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2016
SAFS: A deep feature selection approach for precision medicine.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
A novel procedure for statistical inference and verification of gene regulatory subnetwork.
BMC Bioinform., 2015

2011
Attention Extracts Signal in External Noise: A BOLD fMRI Study.
J. Cogn. Neurosci., 2011

2009
Neural correlates of risk prediction error during reinforcement learning in humans.
NeuroImage, 2009


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