Quasi-framelets: robust graph neural networks via adaptive framelet convolution.
Int. J. Mach. Learn. Cybern., February, 2025
Design your own universe: a physics-informed agnostic method for enhancing graph neural networks.
Int. J. Mach. Learn. Cybern., February, 2025
Graph Pseudotime Analysis and Neural Stochastic Differential Equations for Analyzing Retinal Degeneration Dynamics and Beyond.
CoRR, February, 2025
Machine Learning-Based Prediction of Key Genes Correlated to the Subretinal Lesion Severity in a Mouse Model of Age-Related Macular Degeneration.
Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies, 2025
Students health physique information sharing in publicly collaborative services over edge-cloud networks.
J. Cloud Comput., December, 2024
Enhancing framelet GCNs with generalized p-Laplacian regularization.
Int. J. Mach. Learn. Cybern., April, 2024
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and as Non-Linear Diffusion.
Trans. Mach. Learn. Res., 2024
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond.
Trans. Mach. Learn. Res., 2024
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning.
CoRR, 2024
When Graph Neural Networks Meet Dynamic Mode Decomposition.
CoRR, 2024
A Riemannian Approach to Ground Metric Learning for Optimal Transport.
CoRR, 2024
Unleash Graph Neural Networks from Heavy Tuning.
CoRR, 2024
SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting.
CoRR, 2024
Bregman Graph Neural Network.
Proceedings of the IEEE International Conference on Acoustics, 2024
TransNeXt: Robust Foveal Visual Perception for Vision Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges.
CoRR, 2023
Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond.
CoRR, 2023
How Curvature Enhance the Adaptation Power of Framelet GCNs.
CoRR, 2023
Frameless Graph Knowledge Distillation.
CoRR, 2023
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion.
CoRR, 2023
Fixed Point Laplacian Mapping: A Geometrically Correct Manifold Learning Algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2023
A New Perspective On the Expressive Equivalence Between Graph Convolution and Attention Models.
Proceedings of the Asian Conference on Machine Learning, 2023
Generalized Laplacian Regularized Framelet GCNs.
CoRR, 2022
Generalized energy and gradient flow via graph framelets.
CoRR, 2022
Coupling matrix manifolds assisted optimization for optimal transport problems.
Mach. Learn., 2021
Fine-Grained and Context-Aware Behavioral Biometrics for Pattern Lock on Smartphones.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021
A Discussion On the Validity of Manifold Learning.
CoRR, 2021
Entropy based Security Rating Evaluation Scheme for Pattern Lock.
Proceedings of the IEEE International Conference on Consumer Electronics - Taiwan, 2020
Sensor Fusion Based Implicit Authentication for Smartphones.
Proceedings of the Wireless Sensor Networks - 14th China Conference, 2020
Coupling Matrix Manifolds and Their Applications in Optimal Transport.
CoRR, 2019
Active contours driven by edge entropy fitting energy for image segmentation.
Signal Process., 2018
Assessment Of The Radiometric Accuracy In A Target Less Work Flow Using Pix4D Software.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018
Field Trials on Spectral Efficiency Improvement in Massive MIMO Systems.
Proceedings of the 87th IEEE Vehicular Technology Conference, 2018
Spectral Efficiency Improvement With 5G Technologies: Results From Field Tests.
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IEEE J. Sel. Areas Commun., 2017
A Novel Retransmission Scheme for Video Services in Hybrid Wireline/Wireless Networks.
Proceedings of the 71st IEEE Vehicular Technology Conference, 2010