Yuan Gao

Orcid: 0000-0002-2990-9205

Affiliations:
  • Xidian University, Key Laboratory of Collaborative Intelligence Systems, Ministry of Education, China
  • Nanyang Technological University, Singapore (2021-2022)
  • Xidian University, School of Electronic Engineering, Xi'an, Shaanxi, China (PhD 2022)


According to our database1, Yuan Gao authored at least 28 papers between 2020 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Device-Performance-Driven Heterogeneous Multiparty Learning for Arbitrary Images.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Toward Explainable Multiparty Learning: A Contrastive Knowledge Sharing Framework.
IEEE Trans. Cybern., September, 2024

Assessing the performance of fully supervised and weakly supervised learning in breast cancer histopathology.
Expert Syst. Appl., March, 2024

MMPL: Multi-Objective Multi-Party Learning via Diverse Steps.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

A Multi-Modal Vertical Federated Learning Framework Based on Homomorphic Encryption.
IEEE Trans. Inf. Forensics Secur., 2024

Toward Multiparty Personalized Collaborative Learning in Remote Sensing.
IEEE Trans. Geosci. Remote. Sens., 2024

Towards fair and personalized federated recommendation.
Pattern Recognit., 2024

Bidirectional interaction of CNN and Transformer for image inpainting.
Knowl. Based Syst., 2024

Differential privacy in deep learning: A literature survey.
Neurocomputing, 2024

One-Shot Surrogate for Evolutionary Multiobjective Neural Architecture Search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023
Federated Active Semi-Supervised Learning With Communication Efficiency.
IEEE Trans. Syst. Man Cybern. Syst., November, 2023

Heterogeneous Multi-Party Learning With Data-Driven Network Sampling.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Federated Learning on Multimodal Data: A Comprehensive Survey.
Mach. Intell. Res., August, 2023

Multiparty Dual Learning.
IEEE Trans. Cybern., May, 2023

SMGCL: Semi-supervised Multi-view Graph Contrastive Learning.
Knowl. Based Syst., 2023

Privacy-enhanced generative adversarial network with adaptive noise allocation.
Knowl. Based Syst., 2023

Breaking Hardware Boundaries of IoT Devices via Inverse Feature Completion.
IEEE Internet Things J., 2023

2022
Exploring Temporal Information for Dynamic Network Embedding.
IEEE Trans. Knowl. Data Eng., 2022

Influence-Aware Attention Networks for Anomaly Detection in Surveillance Videos.
IEEE Trans. Circuits Syst. Video Technol., 2022

Federated Multitask Learning for HyperFace.
IEEE Trans. Artif. Intell., 2022

Defending local poisoning attacks in multi-party learning via immune system.
Knowl. Based Syst., 2022

2021
An Attention-Based Unsupervised Adversarial Model for Movie Review Spam Detection.
IEEE Trans. Multim., 2021

A survey on federated learning.
Knowl. Based Syst., 2021

ADDS: Adaptive Differentiable Sampling for Robust Multi-Party Learning.
CoRR, 2021

Multi-Party Dual Learning.
CoRR, 2021

Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework.
CoRR, 2021

2020
Community-oriented attributed network embedding.
Knowl. Based Syst., 2020

An Automatic Recognition of Tooth- Marked Tongue Based on Tongue Region Detection and Tongue Landmark Detection via Deep Learning.
IEEE Access, 2020


  Loading...