Lingxiao Zhao

Orcid: 0009-0005-5190-5365

According to our database1, Lingxiao Zhao authored at least 41 papers between 2006 and 2024.

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Bibliography

2024
Descriptive Kernel Convolution Network with Improved Random Walk Kernel.
CoRR, 2024

Improving and Unifying Discrete&Continuous-time Discrete Denoising Diffusion.
CoRR, 2024

Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation.
CoRR, 2024

2023
Fast and Accurate Illumination Estimation Using LDR Panoramic Images for Realistic Rendering.
IEEE Trans. Vis. Comput. Graph., December, 2023

A novel cryptocurrency price time series hybrid prediction model via machine learning with MATLAB/Simulink.
J. Supercomput., September, 2023

Density of states for fast embedding node-attributed graphs.
Knowl. Inf. Syst., June, 2023

On Using Classification Datasets to Evaluate Graph Outlier Detection: Peculiar Observations and New Insights.
Big Data, June, 2023

AI-assisted identification of intrapapillary capillary loops in magnification endoscopy for diagnosing early-stage esophageal squamous cell carcinoma: a preliminary study.
Medical Biol. Eng. Comput., 2023

Heterophily and Graph Neural Networks: Past, Present and Future.
IEEE Data Eng. Bull., 2023

End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection.
CoRR, 2023

A Mixed Reality Framework for Interactive Realistic Volume Rendering with Dynamic Environment Illumination.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2023

DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Realistic Volume Rendering with Environment-Synced Illumination in Mixed Reality.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality Adjunct, 2023

Sign and Basis Invariant Networks for Spectral Graph Representation Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Liquidity and Solvency Risks in Financial Networks.
Proceedings of the 4th ACM International Conference on AI in Finance, 2023

ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Graph Anomaly Detection with Unsupervised GNNs.
CoRR, 2022

A Practical, Progressively-Expressive GNN.
CoRR, 2022

Quad-fisheye Image Stitching for Monoscopic Panorama Reconstruction.
Comput. Graph. Forum, 2022

A dual-branch hybrid dilated CNN model for the AI-assisted segmentation of meningiomas in MR images.
Comput. Biol. Medicine, 2022

A Practical, Progressively-Expressive GNN.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Graph Condensation for Graph Neural Networks.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Graph Unrolling Networks: Interpretable Neural Networks for Graph Signal Denoising.
IEEE Trans. Signal Process., 2021

Fast Attributed Graph Embedding via Density of States.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
Connecting Graph Convolutional Networks and Graph-Regularized PCA.
CoRR, 2020

Generalizing Graph Neural Networks Beyond Homophily.
CoRR, 2020

Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

PairNorm: Tackling Oversmoothing in GNNs.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
A multi-modal health data fusion and analysis method based on body sensor network.
Int. J. Serv. Technol. Manag., 2019

2018
Wavelet Transform Based ECG Denoising Using Adaptive Thresholding.
Proceedings of the 2018 7th International Conference on Bioinformatics and Biomedical Science, 2018

A Parafac-Based Blind Channel Estimation and Symbol Detection Scheme for Massive MIMO Systems.
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2018

A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2009
Supervised locally linear embedding with probability-based distance for classification.
Comput. Math. Appl., 2009

Combining Mesh, Volume, and Streamline Representations for Polyp Detection in CT Colonography.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008
Surface Curvature Line Clustering for Polyp Detection in CT Colonography.
Proceedings of the Eurographics Workshop on Visual Computing for Biomedicine, 2008

2007
The boundary penalty method for the diffusion equation subject to the specification of mass.
Appl. Math. Comput., 2007

Probability-Based Locally Linear Embedding for Classification.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

Topology-Based Flow Visualization, The State of the Art.
Proceedings of the Topology-based Methods in Visualization, 2007

2006
Lines of Curvature for Polyp Detection in Virtual Colonoscopy.
IEEE Trans. Vis. Comput. Graph., 2006


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