Xiaoyu Tao

Orcid: 0000-0003-3328-5412

According to our database1, Xiaoyu Tao authored at least 30 papers between 2013 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Brain Cognition-Inspired Dual-Pathway CNN Architecture for Image Classification.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Learning Transferable Time Series Classifier with Cross-Domain Pre-training from Language Model.
CoRR, 2024

Molecular insights into gastric cancer: The impact of TGFBR2 and hsa-mir-107 revealed by microarray sequencing and bioinformatics.
Comput. Biol. Medicine, 2024

Explainable Deep Learning with Human Feedback for Perioperative Complications Prediction.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023
A new strategy to identify ADAM12 and PDGFRB as a novel prognostic biomarker for matrine regulates gastric cancer via high throughput chip mining and computational verification.
Comput. Biol. Medicine, November, 2023

Model Behavior Preserving for Class-Incremental Learning.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Identification of a disulfidptosis-related genes signature for prognostic implication in lung adenocarcinoma.
Comput. Biol. Medicine, October, 2023

Single-cell RNA sequencing integrated with bulk RNA sequencing analysis reveals diagnostic and prognostic signatures and immunoinfiltration in gastric cancer.
Comput. Biol. Medicine, September, 2023

Integrated analysis of single-cell RNA-seq and bulk RNA-seq unravels T cell-related prognostic risk model and tumor immune microenvironment modulation in triple-negative breast cancer.
Comput. Biol. Medicine, July, 2023

2021
Analogy-Detail Networks for Object Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2021

Differential privacy protection on weighted graph in wireless networks.
Ad Hoc Networks, 2021

Structural Knowledge Organization and Transfer for Class-Incremental Learning.
Proceedings of the MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1, 2021

Class Incremental Learning for Video Action Classification.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Text Detection in Sign Images Using Maximally Stable External Regions and Stroke Width Transform.
Proceedings of the 14th International Congress on Image and Signal Processing, 2021

Few-Shot Class-Incremental Learning via Relation Knowledge Distillation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Object detection with class aware region proposal network and focused attention objective.
Pattern Recognit. Lett., 2020

Class-Incremental Learning with Topological Schemas of Memory Spaces.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Topology-Preserving Class-Incremental Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

Few-Shot Class-Incremental Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Bi-Objective Continual Learning: Learning 'New' While Consolidating 'Known'.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Fine-Grained Image Classification Using Modified DCNNs Trained by Cascaded Softmax and Generalized Large-Margin Losses.
IEEE Trans. Neural Networks Learn. Syst., 2019

Consistency-Preserving deep hashing for fast person re-identification.
Pattern Recognit., 2019

Surrogate Thermal Model for Power Electronic Modules using Artificial Neural Network.
Proceedings of the IECON 2019, 2019

2018
Training DCNN by Combining Max-Margin, Max-Correlation Objectives, and Correntropy Loss for Multilabel Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2018

Improving CNN Performance Accuracies With Min-Max Objective.
IEEE Trans. Neural Networks Learn. Syst., 2018

Entropy and orthogonality based deep discriminative feature learning for object recognition.
Pattern Recognit., 2018

Transductive Semi-Supervised Deep Learning Using Min-Max Features.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Constructing Deep Sparse Coding Network for image classification.
Pattern Recognit., 2017

2016
A Deep CNN with Focused Attention Objective for Integrated Object Recognition and Localization.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

2013
Outage Performance Study of Cognitive Multi-antenna Relay Network with Physical-Layer Network Coding over Nakagami-m Fading Channels.
Proceedings of the 32th IEEE Military Communications Conference, 2013


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