Haoliang Sun

Orcid: 0000-0001-7715-5682

According to our database1, Haoliang Sun authored at least 25 papers between 2011 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
MetaKernel: Learning Variational Random Features With Limited Labels.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

2023
Biomechanical characterization of normal and pathological human ascending aortic tissues via biaxial testing Experiment, constitutive modeling and finite element analysis.
Comput. Biol. Medicine, November, 2023

Attentional prototype inference for few-shot segmentation.
Pattern Recognit., October, 2023

Towards Accurate and Robust Domain Adaptation Under Multiple Noisy Environments.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Improving Generalization in Meta-Learning via Meta-Gradient Augmentation.
CoRR, 2023

Multi-View Representation Learning via View-Aware Modulation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Fine-Grained Classification with Noisy Labels.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MetaViewer: Towards A Unified Multi-View Representation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Learning Transferable Parameters for Unsupervised Domain Adaptation.
IEEE Trans. Image Process., 2022

Learning to rectify for robust learning with noisy labels.
Pattern Recognit., 2022

SNIP-FSL: Finding task-specific lottery jackpots for few-shot learning.
Knowl. Based Syst., 2022

Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Attentional Prototype Inference for Few-Shot Semantic Segmentation.
CoRR, 2021

2020
Malware Classification on Imbalanced Data through Self-Attention.
Proceedings of the 19th IEEE International Conference on Trust, 2020

Learning to Learn Kernels with Variational Random Features.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Learning the Set Graphs: Image-Set Classification Using Sparse Graph Convolutional Networks.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Modality-Specific Structure Preserving Hashing for Cross-Modal Retrieval.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Direct Estimation of Spinal Cobb Angles by Structured Multi-output Regression.
Proceedings of the Information Processing in Medical Imaging, 2017

Learning Deep Match Kernels for Image-Set Classification.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2014
A Secure and Efficient Certificateless Aggregate Signature Scheme.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014

2013
An Approach of Filtering Wrong-Type Entities for Entity Ranking.
IEICE Trans. Inf. Syst., 2013

2012
Parallel Dynamic Cloud Rendering Method Based on Physical Cellular Automata Model.
IEICE Trans. Inf. Syst., 2012

Congestion Avoid Movement Aware Routing Protocol in Interplanetary Backbone Networks.
IEICE Trans. Commun., 2012

2011
A Network Coding based DTN Convergence Layer Reliable Transport Mechanism over InterPlaNetary Networks.
Int. J. Comput. Commun. Control, 2011


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