Zhijian Luo

Orcid: 0000-0002-8670-5786

According to our database1, Zhijian Luo authored at least 15 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Charge-Coupled Frequency Response Multispectral Inversion Network-Based Detection Method of Oil Contamination on Airport Runway.
Sensors, June, 2024

Three-Dimensional ERT Advanced Detection Method with Source-Position Electrode Excitation for Tunnel-Boring Machines.
Sensors, May, 2024

Identification of 4FGL uncertain sources at Higher Resolutions with Inverse Discrete Wavelet Transform.
CoRR, 2024

Time-aware Self-Attention Meets Logic Reasoning in Recommender Systems.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
An aggressive reduction on the complexity of optimization for non-strongly convex objectives.
Int. J. Wavelets Multiresolution Inf. Process., September, 2023

Attention meets involution in visual tracking.
J. Vis. Commun. Image Represent., February, 2023

Unsupervised Low Light Image Enhancement Using SNR-Aware Swin Transformer.
CoRR, 2023

Clustering based Probabilistic I/O Scheduling for Burst-Buffers Equipped HPC.
Proceedings of the 14th IEEE International Symposium on Parallel Architectures, 2023

2022
Fast Gradient Scaled Method for Generating Adversarial Examples.
Proceedings of the ICIAI 2022: The 6th International Conference on Innovation in Artificial Intelligence, Guangzhou China, March 4, 2022

2021
Multi-stage stochastic gradient method with momentum acceleration.
Signal Process., 2021

2019
Stochastic sub-sampled Newton method with variance reduction.
Int. J. Wavelets Multiresolution Inf. Process., 2019

Learning deep optimizer for blind image deconvolution.
Int. J. Wavelets Multiresolution Inf. Process., 2019

A Deep Optimization Approach for Image Deconvolution.
CoRR, 2019

Stochastic Momentum Method With Double Acceleration for Regularized Empirical Risk Minimization.
IEEE Access, 2019

2016
Bound analysis of natural gradient descent in stochastic optimization setting.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016


  Loading...