Ying Gao

Orcid: 0000-0002-8925-8192

Affiliations:
  • South China University of Technology, School of Computer Science and Engineering, Guangzhou, China (PhD 2006)


According to our database1, Ying Gao authored at least 60 papers between 2018 and 2024.

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Timeline

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Bibliography

2024
DAST: A Domain-Adaptive Learning Combining Spatio-Temporal Dynamic Attention for Electroencephalography Emotion Recognition.
IEEE J. Biomed. Health Informatics, May, 2024

Fundus Image Enhancement via Semi-Supervised GAN and Anatomical Structure Preservation.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Weakly Supervised Object Localization with Background Suppression Erasing for Art Authentication and Copyright Protection.
Mach. Intell. Res., February, 2024

Explosive Cyber Security Threats During COVID-19 Pandemic and a Novel Tree-Based Broad Learning System to Overcome.
IEEE Trans. Intell. Transp. Syst., January, 2024

Fog-Enabled Privacy-Preserving Multi-Task Data Aggregation for Mobile Crowdsensing.
IEEE Trans. Dependable Secur. Comput., 2024

Dynamic decoding and dual synthetic data for automatic correction of grammar in low-resource scenario.
PeerJ Comput. Sci., 2024

Enhanced Attention Guided Teacher-Student Network for Weakly Supervised Object Detection.
Neurocomputing, 2024

Semantic dependency and local convolution for enhancing naturalness and tone in text-to-speech synthesis.
Neurocomputing, 2024

Beyond Finite Data: Towards Data-free Out-of-distribution Generalization via Extrapolation.
CoRR, 2024

Fastmandarin: Efficient Local Modeling for Natural Mandarin Speech Synthesis.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
CATE: Contrastive augmentation and tree-enhanced embedding for credit scoring.
Inf. Sci., December, 2023

Generative face inpainting hashing for occluded face retrieval.
Int. J. Mach. Learn. Cybern., May, 2023

Human migration-based graph convolutional network for PM2.5 forecasting in post-COVID-19 pandemic age.
Neural Comput. Appl., March, 2023

Knowledge Distillation Hashing for Occluded Face Retrieval.
IEEE Trans. Multim., 2023

DFTNet: Dual-Path Feature Transfer Network for Weakly Supervised Medical Image Segmentation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Understanding Adversarial Transferability in Federated Learning.
CoRR, 2023

A Lightweight and Efficient Model for Audio Anti-Spoofing.
Proceedings of the ACM Multimedia Asia 2023, 2023

Avoid attacks: A Federated Data Sanitization Defense in IoMT Systems.
Proceedings of the IEEE INFOCOM 2023, 2023

A Dual-Path Supplemental Information Learning Architecture for Breast Cancer Ki-67 Status Prediction in T2w MRI.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Diverse Cotraining Makes Strong Semi-Supervised Segmentor.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multi-metrics adaptively identifies backdoors in Federated learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SeDepTTS: Enhancing the Naturalness via Semantic Dependency and Local Convolution for Text-to-Speech Synthesis.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
DMCGNet: A Novel Network for Medical Image Segmentation With Dense Self-Mimic and Channel Grouping Mechanism.
IEEE J. Biomed. Health Informatics, 2022

Event-Triggered ADP for Tracking Control of Partially Unknown Constrained Uncertain Systems.
IEEE Trans. Cybern., 2022

Self-Learning Spatial Distribution-Based Intrusion Detection for Industrial Cyber-Physical Systems.
IEEE Trans. Comput. Soc. Syst., 2022

Event-triggered integral reinforcement learning for nonzero-sum games with asymmetric input saturation.
Neural Networks, 2022

An Improved Selection Method Based on Crowded Comparison for Multi-Objective Optimization Problems in Intelligent Computing.
Mob. Networks Appl., 2022

Estimating unconfirmed COVID-19 infection cases and multiple waves of pandemic progression with consideration of testing capacity and non-pharmaceutical interventions: A dynamic spreading model.
Inf. Sci., 2022

P<sup>2</sup>SIM: Privacy-Preserving and Source-Reliable Incentive Mechanism for Mobile Crowdsensing.
IEEE Internet Things J., 2022

Neural network-based event-triggered integral reinforcement learning for constrained H∞ tracking control with experience replay.
Neurocomputing, 2022

Try to Avoid Attacks: A Federated Data Sanitization Defense for Healthcare IoMT Systems.
CoRR, 2022

ConvNext Based Neural Network for Anti-Spoofing.
CoRR, 2022

Spatial Enhanced Rotation Aware Network for Breast Mass Segmentation in Digital Mammogram.
IEEE Access, 2022

A Blockchain-Based Cloud Edge Fusion Computing Platform for the Smart Grid.
Proceedings of the 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2022

More than Encoder: Introducing Transformer Decoder to Upsample.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
An Intelligent Cloud Workflow Scheduling System With Time Estimation and Adaptive Ant Colony Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Comparative Study of COVID-19 Pandemic Progressions in 175 Regions in Australia, Canada, Italy, Japan, Spain, U.K. and USA Using a Novel Model That Considers Testing Capacity and Deficiency in Confirming Infected Cases.
IEEE J. Biomed. Health Informatics, 2021

A Real-Time Defect Detection Method for Digital Signal Processing of Industrial Inspection Applications.
IEEE Trans. Ind. Informatics, 2021

Blockchain Based IIoT Data Sharing Framework for SDN-Enabled Pervasive Edge Computing.
IEEE Trans. Ind. Informatics, 2021

Verifiable, Reliable, and Privacy-Preserving Data Aggregation in Fog-Assisted Mobile Crowdsensing.
IEEE Internet Things J., 2021

Blockchain and SGX-Enabled Edge-Computing-Empowered Secure IoMT Data Analysis.
IEEE Internet Things J., 2021

More than Encoder: Introducing Transformer Decoder to Upsample.
CoRR, 2021

The Notarial Office in E-government: A Blockchain-Based Solution.
IEEE Access, 2021

2020
Modeling Human Activity With Seasonality Bursty Dynamics.
IEEE Trans. Ind. Informatics, 2020

Parameter-Free Voronoi Neighborhood for Evolutionary Multimodal Optimization.
IEEE Trans. Evol. Comput., 2020

Secure Drone Network Edge Service Architecture Guaranteed by DAG-Based Blockchain for Flying Automation under 5G.
Sensors, 2020

Private-Blockchain-Based Industrial IoT for Material and Product Tracking in Smart Manufacturing.
IEEE Netw., 2020

Optimizing Broad Learning System Hyper-parameters through Particle Swarm Optimization for Predicting COVID-19 in 184 Countries.
Proceedings of the 22nd IEEE International Conference on E-health Networking, 2020

A Diversified Supervised based U-shape Colorectal Lesion Segmentor with Meaningful Feature Supplement and Multi-Level Residual Attention Mechanism.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Path Planning for Autonomous Underwater Vehicles: An Ant Colony Algorithm Incorporating Alarm Pheromone.
IEEE Trans. Veh. Technol., 2019

Coevolutionary Particle Swarm Optimization With Bottleneck Objective Learning Strategy for Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2019

Delay-aware fountain codes for video streaming with optimal sampling strategy.
J. Commun. Networks, 2019

nLSALog: An Anomaly Detection Framework for Log Sequence in Security Management.
IEEE Access, 2019

A Distributed Multiple Populations Framework for Evolutionary Algorithm in Solving Dynamic Optimization Problems.
IEEE Access, 2019

A Distributed Cooperative Co-evolutionary CMA Evolution Strategy for Global Optimization of Large-Scale Overlapping Problems.
IEEE Access, 2019

A Distributed Network Intrusion Detection System for Distributed Denial of Service Attacks in Vehicular Ad Hoc Network.
IEEE Access, 2019

A Blockchain-based Data Sharing Scheme in The Supply Chain by IIoT.
Proceedings of the IEEE International Conference on Industrial Cyber Physical Systems, 2019

Indefinite Kernels in One-Class Support Vector Machine and its Application on Virtual Screening.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Dense Encoder-Decoder Network based on Two-Level Context Enhanced Residual Attention Mechanism for Segmentation of Breast Tumors in Magnetic Resonance Imaging.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
A Novel Semi-Supervised Learning Approach for Network Intrusion Detection on Cloud-Based Robotic System.
IEEE Access, 2018


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