Dehua Liu

According to our database1, Dehua Liu authored at least 18 papers between 2012 and 2025.

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

Timeline

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Links

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Bibliography

2025
A Multi-aspect Multi-granularity Pronunciation Assessment Method Based on Branchformer Encoder and Hierarchical Aggregation.
Proceedings of the MultiMedia Modeling, 2025

Breaking 'Chicken-Egg': Cross-city Battery Swap Demand Prediction via Knowledge-guided Diffusion.
Proceedings of the IEEE INFOCOM 2025, 2025

NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024
Balancing Electric Scooter Battery Swapping Network by Spatio-Temporal Recommendation.
IEEE Trans. Intell. Transp. Syst., December, 2024

An efficient approach for discovering Graph Entity Dependencies (GEDs).
Inf. Syst., 2024

Computer aided diagnosis of diabetic retinopathy based on multi-view joint learning.
Comput. Biol. Medicine, 2024


MobileIQA: Exploiting Mobile-Level Diverse Opinion Network For No-Reference Image Quality Assessment Using Knowledge Distillation.
Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023
TransCotANet: A Lung Field Image Segmentation Network with Multidimensional Global Feature Dynamic Aggregation.
Symmetry, August, 2023

Location First Non-Maximum Suppression for Uncovered Muck Truck Detection.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., June, 2023

Lung segmentation in chest X-ray image using multi-interaction feature fusion network.
IET Image Process., 2023

2015
An efficient online active learning algorithm for binary classification.
Pattern Recognit. Lett., 2015

2013
An iterative SVM approach to feature selection and classification in high-dimensional datasets.
Pattern Recognit., 2013

A Nearly Unbiased Matrix Completion Approach.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Nonconvex Relaxation Approaches to Robust Matrix Recovery.
Proceedings of the IJCAI 2013, 2013

Large-Scale Hierarchical Classification via Stochastic Perceptron.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
EP-GIG Priors and Applications in Bayesian Sparse Learning.
J. Mach. Learn. Res., 2012

Coherence functions with applications in large-margin classification methods.
J. Mach. Learn. Res., 2012


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