2025
Gradient-aware domain-invariant learning for domain generalization.
Multim. Syst., February, 2025
2024
A Survey of Visual Transformers.
IEEE Trans. Neural Networks Learn. Syst., June, 2024
Deep Learning Based Occluded Person Re-Identification: A Survey.
ACM Trans. Multim. Comput. Commun. Appl., March, 2024
Neural Architecture Search for GNN-Based Graph Classification.
ACM Trans. Inf. Syst., January, 2024
Learning rich features for gait recognition by integrating skeletons and silhouettes.
Multim. Tools Appl., January, 2024
Domain-Aware Graph Network for Bridging Multi-Source Domain Adaptation.
IEEE Trans. Multim., 2024
Trust it or not: Confidence-guided automatic radiology report generation.
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Neurocomputing, 2024
DomainVerse: A Benchmark Towards Real-World Distribution Shifts For Tuning-Free Adaptive Domain Generalization.
CoRR, 2024
Occluded Gait Recognition with Mixture of Experts: An Action Detection Perspective.
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
Unleashing the Power of Graph Learning through LLM-based Autonomous Agents.
CoRR, 2023
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification.
Proceedings of the ACM Web Conference 2023, 2023
Occluded Gait Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2023
Learning How to Learn Domain-Invariant Parameters for Domain Generalization.
Proceedings of the IEEE International Conference on Acoustics, 2023
SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach.
CoRR, 2022
Learning to Learn Domain-invariant Parameters for Domain Generalization.
CoRR, 2022
Deep Learning-based Occluded Person Re-identification: A Survey.
CoRR, 2022
Decoupled Pyramid Correlation Network for Liver Tumor Segmentation from CT images.
CoRR, 2022
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Cross-Domain Few-Shot Learning for Rare-Disease Skin Lesion Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.
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IEEE Trans. Medical Imaging, 2021
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images.
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Medical Image Anal., 2021
Learn Layer-wise Connections in Graph Neural Networks.
CoRR, 2021
Learning Rich Features for Gait Recognition by Integrating Skeletons and Silhouettes.
CoRR, 2021
Confidence-Guided Radiology Report Generation.
CoRR, 2021
Does non-COVID-19 lung lesion help? investigating transferability in COVID-19 CT image segmentation.
Comput. Methods Programs Biomed., 2021
Modality-Aware Mutual Learning for Multi-modal Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Pooling Architecture Search for Graph Classification.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
Introspection unit in memory network: Learning to generalize inference in OOV scenarios.
Neurocomputing, 2020
Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation.
CoRR, 2020
Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation.
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CoRR, 2020
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images.
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CoRR, 2020
Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020
Double-Uncertainty Weighted Method for Semi-supervised Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
FGB: Feature Guidance Branch for Organ Detection in Medical Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
DARN: Deep Attentive Refinement Network for Liver Tumor Segmentation from 3D CT volume.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
GaitPart: Temporal Part-Based Model for Gait Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Modality-Pairing Learning for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
2019
Patch-based self-adaptive matting for high-resolution image and video.
Vis. Comput., 2019
Comparison of Photoplethysmographic Signal Features Between Healthy and Sleep Apnea Patients During Five Sleep Stages.
J. Medical Imaging Health Informatics, 2019
Semantic Feature Attention Network for Liver Tumor Segmentation in Large-scale CT database.
CoRR, 2019
End-to-End Personalized Humorous Response Generation in Untrimmed Multi-Role Dialogue System.
IEEE Access, 2019
Discrimination Assessment for Saliency Maps.
Proceedings of the Natural Language Processing and Chinese Computing, 2019
MIDS: End-to-End Personalized Response Generation in Untrimmed Multi-Role Dialogue<sup>*</sup>.
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
Image Co-segmentation via Multi-scale Local Shape Transfer.
CoRR, 2018
Combining Convolutional Neural Network and Distance Distribution Matrix for Identification of Congestive Heart Failure.
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IEEE Access, 2018
SequentialSegNet: Combination with Sequential Feature for Multi-Organ Segmentation.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Adaptive Learning of Local Semantic and Global Structure Representations for Text Classification.
Proceedings of the 27th International Conference on Computational Linguistics, 2018
2017
Modality-specific and hierarchical feature learning for RGB-D hand-held object recognition.
Multim. Tools Appl., 2017
A survey on context-aware mobile visual recognition.
Multim. Syst., 2017
Sequence-to-sequence prediction of personal computer software by recurrent neural network.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Relative Pose Estimation Algorithm with Gyroscope Sensor.
J. Sensors, 2016
Gyroscope and visual fusion solution for digital video stabilization.
J. Electronic Imaging, 2016
A Time Localization System in Smart Home Using Hierarchical Structure and Dynamic Frequency.
Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications; 14th IEEE International Conference on Smart City; 2nd IEEE International Conference on Data Science and Systems, 2016
Local Shape Transfer for Image Co-segmentation.
Proceedings of the British Machine Vision Conference 2016, 2016
2014
A Visualized Framework of Automatic Orchestration Engine Supporting Hybrid Cloud Resources.
Proceedings of the 11th IEEE International Conference on e-Business Engineering, 2014
A virtual machine based task scheduling approach to improving data locality for virtualized Hadoop.
Proceedings of the 2014 IEEE/ACIS 13th International Conference on Computer and Information Science, 2014
2013
LSoVC: A Framework for Taking Live Snapshot of Virtual Cluster in the Cloud.
Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013
An Approach to Minimizing Downtime Induced by Taking Live Snapshot of Virtual Cluster.
Proceedings of the 2013 International Conference on Cloud and Service Computing, 2013