Yuning Qiu

Orcid: 0000-0003-0268-0890

According to our database1, Yuning Qiu authored at least 29 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
Noisy Tensor Completion via Low-Rank Tensor Ring.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

Adaptive graph regularized non-negative Tucker decomposition for multiway dimensionality reduction.
Multim. Tools Appl., January, 2024

Hyperspectral and Multispectral Image Fusion via Bayesian Nonlocal CP Factorization.
IEEE Geosci. Remote. Sens. Lett., 2024

Towards Multi-Mode Outlier Robust Tensor Ring Decomposition.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Graph-Regularized Non-Negative Tensor-Ring Decomposition for Multiway Representation Learning.
IEEE Trans. Cybern., May, 2023

Unsupervised Scalable Multimodal Driving Anomaly Detection.
IEEE Trans. Intell. Veh., April, 2023

Example-Based Query To Identify Causes of Driving Anomaly with Few Labeled Samples.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

2022
A Generalized Graph Regularized Non-Negative Tucker Decomposition Framework for Tensor Data Representation.
IEEE Trans. Cybern., 2022

Spatial Information Regularized Tensor Decomposition Framework for Super-Resolution Reconstruction of Medical MRI and Radiographs.
IEEE Trans. Computational Imaging, 2022

Efficient Tensor Robust PCA Under Hybrid Model of Tucker and Tensor Train.
IEEE Signal Process. Lett., 2022

Multi-Aspect Streaming Tensor Ring Completion for Dynamic Incremental Data.
IEEE Signal Process. Lett., 2022

Imbalanced low-rank tensor completion via latent matrix factorization.
Neural Networks, 2022

A dynamic hypergraph regularized non-negative tucker decomposition framework for multiway data analysis.
Int. J. Mach. Learn. Cybern., 2022

Toward Understanding Convolutional Neural Networks from Volterra Convolution Perspective.
J. Mach. Learn. Res., 2022

Driving Anomaly Detection Using Conditional Generative Adversarial Network.
CoRR, 2022

Bayesian Robust Tensor Ring Model for Incomplete Multiway Data.
CoRR, 2022

A High-Order Tensor Completion Algorithm Based on Fully-Connected Tensor Network Weighted Optimization.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Driving Anomaly Detection Using Contrastive Multiview Coding to Interpret Cause of Anomaly.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Incorporating Gaze Behavior Using Joint Embedding With Scene Context for Driver Takeover Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Understanding Convolutional Neural Networks from Theoretical Perspective via Volterra Convolution.
CoRR, 2021

2020
Deep graph regularized non-negative matrix factorization for multi-view clustering.
Neurocomputing, 2020

An Efficient Tensor Completion Method Via New Latent Nuclear Norm.
IEEE Access, 2020

Use of Triplet-Loss Function to Improve Driving Anomaly Detection Using Conditional Generative Adversarial Network.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019
An Efficient Tensor Completion Method via New Latent Nuclear Norm.
CoRR, 2019

Analysis of the Relationship Between Physiological Signals and Vehicle Maneuvers During a Naturalistic Driving Study.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Driving Anomaly Detection with Conditional Generative Adversarial Network using Physiological and CAN-Bus Data.
Proceedings of the International Conference on Multimodal Interaction, 2019

Graph Regularized Nonnegative Tucker Decomposition for Tensor Data Representation.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Orthogonal Random Projection Based Tensor Completion for Image Recovery.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

2017
Deep Approximately Orthogonal Nonnegative Matrix Factorization for Clustering.
CoRR, 2017


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