Shuai Zheng
Orcid: 0000-0001-8560-8135Affiliations:
- 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:
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Bibliography
2025
SiGNN: A spike-induced graph neural network for dynamic graph representation learning.
Pattern Recognit., 2025
2024
IEEE Trans. Artif. Intell., May, 2024
Graph meets probabilistic generation model: A new perspective for graph disentanglement.
Pattern Recognit., April, 2024
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
IEEE Trans. Knowl. Data Eng., September, 2023
Cooperative dual medical ontology representation learning for clinical assisted decision-making.
Comput. Biol. Medicine, September, 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
Margin Preserving Self-Paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, 2022
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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
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
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
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
IEEE Signal Process. Lett., 2019