Yishuo Zhang

Orcid: 0000-0001-6033-5679

According to our database1, Yishuo Zhang authored at least 18 papers between 2018 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
Retinal Vessel Segmentation by a Transformer-U-Net Hybrid Model With Dual-Path Decoder.
IEEE J. Biomed. Health Informatics, September, 2024

Effective interpretable learning for large-scale categorical data.
Data Min. Knowl. Discov., July, 2024

Improving neural network's robustness on tabular data with D-layers.
Data Min. Knowl. Discov., January, 2024

HierCas: Hierarchical Temporal Graph Attention Networks for Popularity Prediction in Information Cascades.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Interpretable tabular data generation.
Knowl. Inf. Syst., July, 2023

Edge-Assisted Real-Time Video Analytics With Spatial-Temporal Redundancy Suppression.
IEEE Internet Things J., April, 2023

Data-driven Spatial Super-Resolution for FMCW mmWave Sensing Systems.
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

Leveraging Generative Models for Combating Adversarial Attacks on Tabular Datasets.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

MEG: Masked Ensemble Tabular Data Generator.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
A survey on smart farming data, applications and techniques.
Comput. Ind., 2022

GANBLR++: Incorporating Capacity to Generate Numeric Attributes and Leveraging Unrestricted Bayesian Networks.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Discretization Inspired Defence Algorithm Against Adversarial Attacks on Tabular Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

GUNet: A GCN-CNN Hybrid Model for Retinal Vessel Segmentation by Learning Graphical Structures.
Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

2021
GANBLR: A Tabular Data Generation Model.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
Topological Graph Representation Learning on Property Graph.
Proceedings of the Knowledge Science, Engineering and Management, 2020

Predicting User Influence in the Propagation of Toxic Information.
Proceedings of the Knowledge Science, Engineering and Management, 2020

2019
Duo Attention with Deep Learning on Tomato Yield Prediction and Factor Interpretation.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

2018
Deep Supervision with Additional Labels for Retinal Vessel Segmentation Task.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018


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