SiGNN: A spike-induced graph neural network for dynamic graph representation learning.
Pattern Recognit., 2025
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
The Devil Is in the Boundary: Boundary-Enhanced Polyp Segmentation.
IEEE Trans. Circuits Syst. Video Technol., 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
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
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
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
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
Edge Heuristic GAN for Non-Uniform Blind Deblurring.
IEEE Signal Process. Lett., 2019