Shuo Yang

Orcid: 0000-0001-6145-0150

Affiliations:
  • Harbin Institute of Technology, School of Computer Science and Technology, China
  • University of Technology Sydney, Faculty of Engineering and IT, School of Electrical and Data Engineering, NSW, Australia (PhD 2023)


According to our database1, Shuo Yang authored at least 19 papers between 2020 and 2025.

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

Timeline

Legend:

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Links

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Bibliography

2025
Cognition-Driven Structural Prior for Instance-Dependent Label Transition Matrix Estimation.
IEEE Trans. Neural Networks Learn. Syst., February, 2025

Learning from Ambiguous Data with Hard Labels.
CoRR, January, 2025

2024
U<sup>2</sup>D<sup>2</sup>Net: Unsupervised Unified Image Dehazing and Denoising Network for Single Hazy Image Enhancement.
IEEE Trans. Multim., 2024

Data-efficient Fine-tuning for LLM-based Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2023
A Parametrical Model for Instance-Dependent Label Noise.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Towards Efficient Robotic Software Development by Reusing Behavior Tree Structures for Task Planning Paradigms.
Complex Syst. Model. Simul., 2023

Dataset Pruning: Reducing Training Data by Examining Generalization Influence.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Bridging the Gap Between Few-Shot and Many-Shot Learning via Distribution Calibration.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Graph-based few-shot learning with transformed feature propagation and optimal class allocation.
Neurocomputing, 2022

An efficient multitask neural network for face alignment, head pose estimation and face tracking.
Expert Syst. Appl., 2022

Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels.
CoRR, 2022

Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network.
Proceedings of the International Conference on Machine Learning, 2022

Objects in Semantic Topology.
Proceedings of the Tenth International Conference on Learning Representations, 2022

CAFE: Learning to Condense Dataset by Aligning Features.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Estimating Instance-dependent Label-noise Transition Matrix using DNNs.
CoRR, 2021

Free Lunch for Few-shot Learning: Distribution Calibration.
Proceedings of the 9th International Conference on Learning Representations, 2021

Single-View 3D Object Reconstruction From Shape Priors in Memory.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Meta3D: Single-View 3D Object Reconstruction from Shape Priors in Memory.
CoRR, 2020


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