Yayong Li

Orcid: 0000-0003-2534-1971

According to our database1, Yayong Li authored at least 13 papers between 2016 and 2023.

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Bibliography

2023
Informative pseudo-labeling for graph neural networks with few labels.
Data Min. Knowl. Discov., 2023

2022
Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Attentive Feature Fusion for Credit Default Prediction.
Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

2021
SEAL: Semisupervised Adversarial Active Learning on Attributed Graphs.
IEEE Trans. Neural Networks Learn. Syst., 2021

Unified Robust Training for Graph NeuralNetworks against Label Noise.
CoRR, 2021

Wide Graph Neural Networks: Aggregation Provably Leads to Exponentially Trainability Loss.
CoRR, 2021

Unified Robust Training for Graph Neural Networks Against Label Noise.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

2019
An Adaptive CU Size Decision Algorithm for HEVC Intra Prediction Based on Complexity Classification Using Machine Learning.
IEEE Trans. Circuits Syst. Video Technol., 2019

Semi-supervised Adversarial Active Learning on Attributed Graphs.
CoRR, 2019

2018
An Efficient H.264/AVC to HEVC Transcoder for Real-Time Video Communication in Internet of Vehicles.
IEEE Internet Things J., 2018

2016
A Fast Coding Unit Size Decision Algorithm for HEVC Intra Coding Based on Image Complexity.
Proceedings of the 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2016

Fast Online-Learning Parameters Decision Algorithm Based on Bayesian Decision Rule for 3D-HEVC.
Proceedings of the 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2016

Fast CU Size Decisions for HEVC Intra Frame Coding Based on Support Vector Machines.
Proceedings of the 2016 IEEE 14th Intl Conf on Dependable, 2016


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