Shuo Wang

Orcid: 0000-0001-7851-3824

Affiliations:

Beijing, Normal University, Beijing, China

According to our database¹, Shuo Wang authored at least 14 papers between 2018 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

Bidirectional Collaborative Mentoring Network for Marine Organism Detection and Beyond.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., November, 2023

CamDiff: Camouflage Image Augmentation via Diffusion Model.

[BibT_eX]

[DOI]

CoRR, 2023

Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers.

[BibT_eX]

[DOI]

CoRR, 2023

Dynamic Graph Neural Network with Adaptive Edge Attributes for Air Quality Predictions.

[BibT_eX]

[DOI]

CoRR, 2023

A Unified Query-based Paradigm for Camouflaged Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Source-free Depth for Object Pop-out.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Memory-Aided Contrastive Consensus Learning for Co-salient Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Trichomonas Vaginalis Segmentation in Microscope Images.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Boundary-Guided Camouflaged Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2020

Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network.

[BibT_eX]

[DOI]

CoRR, 2020

PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting.

[BibT_eX]

[DOI]

Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

2019

A general deep learning framework for network reconstruction and dynamics learning.

[BibT_eX]

[DOI]

Appl. Netw. Sci., 2019

2018

A General Deep Learning Framework for Structure and Dynamics Reconstruction from Time Series Data.

[BibT_eX]

[DOI]

CoRR, 2018

Shuo Wang

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...