2024
MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3-D CT Lesions.
IEEE Trans. Neural Networks Learn. Syst., June, 2024
Clinical domain knowledge-derived template improves post hoc AI explanations in pneumothorax classification.
J. Biomed. Informatics, 2024
ViKL: A Mammography Interpretation Framework via Multimodal Aggregation of Visual-knowledge-linguistic Features.
CoRR, 2024
EvoFA: Evolvable Fast Adaptation for EEG Emotion Recognition.
CoRR, 2024
Progressive Conservative Adaptation for Evolving Target Domains.
CoRR, 2024
2023
Graph Convolution Based Cross-Network Multiscale Feature Fusion for Deep Vessel Segmentation.
IEEE Trans. Medical Imaging, 2023
TeacherLM: Teaching to Fish Rather Than Giving the Fish, Language Modeling Likewise.
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CoRR, 2023
Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentation.
CoRR, 2023
Dynamic Triple Reweighting Network for Automatic Femoral Head Necrosis Diagnosis from Computed Tomography.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Learning Locality and Isotropy in Dialogue Modeling.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
BEV@DC: Bird's-Eye View Assisted Training for Depth Completion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Identity-Preserving Talking Face Generation with Landmark and Appearance Priors.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Leveraging Frequency Domain Learning in 3D Vessel Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
START: Automatic Sleep Staging with Attention-based Cross-modal Learning Transformer.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-Ray Images.
IEEE J. Biomed. Health Informatics, 2022
Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Computer-Aided Tuberculosis Diagnosis with Attribute Reasoning Assistance.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
OneFace: One Threshold for All.
Proceedings of the Computer Vision - ECCV 2022, 2022
BOAT: Bilateral Local Attention Vision Transformer.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
Deep 3D Vessel Segmentation based on Cross Transformer Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Structure Regularized Attentive Network for Automatic Femoral Head Necrosis Diagnosis and Localization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Contralaterally Enhanced Networks for Thoracic Disease Detection.
IEEE Trans. Medical Imaging, 2021
Multi-task contrastive learning for automatic CT and X-ray diagnosis of COVID-19.
Pattern Recognit., 2021
MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3D CT Lesions.
CoRR, 2021
GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-ray images.
CoRR, 2021
Cross Chest Graph for Disease Diagnosis with Structural Relational Reasoning.
CoRR, 2021
Cross Chest Graph for Disease Diagnosis with Structural Relational Reasoning.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Multi-scale Matching Networks for Semantic Correspondence.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
GraphFPN: Graph Feature Pyramid Network for Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Attribute Relation Modeling for Pulmonary Nodule Malignancy Reasoning.
Proceedings of the 2nd International Conference on Deep Learning Theory and Applications, 2021
Weakly Supervised Disease Localization in Chest X-rays via Looking into Image Relations.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2019
Align, Attend and Locate: Chest X-Ray Diagnosis via Contrast Induced Attention Network With Limited Supervision.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
2018
Rethinking ReLU to Train Better CNNs.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
2017
Training Better CNNs Requires to Rethink ReLU.
CoRR, 2017
Random Shifting for CNN: a Solution to Reduce Information Loss in Down-Sampling Layers.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017