Shuai Zheng

Orcid: 0000-0001-8560-8135

Affiliations:
  • Beijing Jiaotong University, Institute of Information Science, China
  • Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China


According to our database1, Shuai Zheng authored at least 26 papers between 2019 and 2025.

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

Timeline

Legend:

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Online presence:

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Bibliography

2025
SiGNN: A spike-induced graph neural network for dynamic graph representation learning.
Pattern Recognit., 2025

2024
Adversarial Graph Disentanglement With Component-Specific Aggregation.
IEEE Trans. Artif. Intell., May, 2024

Graph meets probabilistic generation model: A new perspective for graph disentanglement.
Pattern Recognit., April, 2024

Node-Oriented Spectral Filtering for Graph Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

From Observation to Concept: A Flexible Multi-View Paradigm for Medical Report Generation.
IEEE Trans. Multim., 2024

FlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Endow SAM with Keen Eyes: Temporal-Spatial Prompt Learning for Video Camouflaged Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Sylvester Equation Induced Collaborative Representation Learning for Recommendation.
IEEE Trans. Knowl. Data Eng., September, 2023

Cooperative dual medical ontology representation learning for clinical assisted decision-making.
Comput. Biol. Medicine, September, 2023

Unleashing the potential of GNNs via Bi-directional Knowledge Transfer.
CoRR, 2023

Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation with Cross-Scale Distortion Awareness.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Multi-Modal Graph Learning for Disease Prediction.
IEEE Trans. Medical Imaging, 2022

Margin Preserving Self-Paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, 2022

MFHI: Taking Modality-Free Human Identification as Zero-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., 2022

Attention-Enhanced Disentangled Representation Learning for Unsupervised Domain Adaptation in Cardiac Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

SGT: Scene Graph-Guided Transformer for Surgical Report Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Multi-modal Graph Learning for Disease Prediction.
CoRR, 2021

Adversarial Graph Disentanglement.
CoRR, 2021

Deep learning based torsional nystagmus detection for dizziness and vertigo diagnosis.
Biomed. Signal Process. Control., 2021

CETransformer: Casual Effect Estimation via Transformer Based Representation Learning.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Coarse-to-Fine Learning Framework for Semi-supervised Multimodal MRI Synthesis.
Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

2020
Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study.
IEEE Trans. Image Process., 2020

Convolutional prototype learning for zero-shot recognition.
Image Vis. Comput., 2020

Taking Modality-free Human Identification as Zero-shot Learning.
CoRR, 2020

Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Edge Heuristic GAN for Non-Uniform Blind Deblurring.
IEEE Signal Process. Lett., 2019


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