2025
ManiNeg: Manifestation-guided multimodal pretraining for mammography screening.
Comput. Biol. Medicine, 2025
2024
MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3-D CT Lesions.
IEEE Trans. Neural Networks Learn. Syst., June, 2024
PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition.
IEEE Trans. Multim., 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
Human-like object concept representations emerge naturally in multimodal large language models.
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CoRR, 2024
Progressive Conservative Adaptation for Evolving Target Domains.
CoRR, 2024
2023
Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023
A unified framework of medical information annotation and extraction for Chinese clinical text.
Artif. Intell. Medicine, August, 2023
PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition.
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
Graph to Grid: Learning Deep Representations for Multimodal Emotion Recognition.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Spiral Contrastive Learning: An Efficient 3D Representation Learning Method for Unannotated CT Lesions.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Revisiting De-Identification of Electronic Medical Records: Evaluation of Within- and Cross-Hospital Generalization.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Deep Span Representations for Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-Ray Images.
IEEE J. Biomed. Health Informatics, 2022
Dynamic Domain Adaptation for Class-Aware Cross-Subject and Cross-Session EEG Emotion Recognition.
IEEE J. Biomed. Health Informatics, 2022
Sharing Weights in Shallow Layers via Rotation Group Equivariant Convolutions.
Int. J. Autom. Comput., 2022
Recognizing Nested Entities from Flat Supervision: A New NER Subtask, Feasibility and Challenges.
CoRR, 2022
CM-MLP: Cascade Multi-scale MLP with Axial Context Relation Encoder for Edge Segmentation of Medical Image.
CoRR, 2022
Spiral Contrastive Learning: An Efficient 3D Representation Learning Method for Unannotated CT Lesions.
CoRR, 2022
Benchmarking Domain Generalization on EEG-based Emotion Recognition.
CoRR, 2022
A Unified Framework of Medical Information Annotation and Extraction for Chinese Clinical Text.
CoRR, 2022
Predicting liver cancers using skewed epidemiological data.
Artif. Intell. Medicine, 2022
Computer-Aided Tuberculosis Diagnosis with Attribute Reasoning Assistance.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Faint Features Tell: Automatic Vertebrae Fracture Screening Assisted by Contrastive Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Deep 3D Vessel Segmentation based on Cross Transformer Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
CM-MLP: Cascade Multi-scale MLP with Axial Context Relation Encoder for Edge Segmentation of Medical Image.
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
Boundary Smoothing for Named Entity Recognition.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Enhancing EEG-Based Emotion Recognition with Fast Online Instance Transfer.
Proceedings of the Integrating Artificial Intelligence and IoT for Advanced Health Informatics, 2022
2021
Multi-task contrastive learning for automatic CT and X-ray diagnosis of COVID-19.
Pattern Recognit., 2021
SNAP: Shaping neural architectures progressively via information density criterion.
Pattern Recognit., 2021
Predicting Lung Cancers Using Epidemiological Data: A Generative-Discriminative Framework.
IEEE CAA J. Autom. Sinica, 2021
MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3D CT Lesions.
CoRR, 2021
MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition.
CoRR, 2021
GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-ray images.
CoRR, 2021
Investigating Critical Risk Factors in Liver Cancer Prediction.
CoRR, 2021
Cross Chest Graph for Disease Diagnosis with Structural Relational Reasoning.
CoRR, 2021
X-ray Image Blind Denoising in Hybrid Noise Based on Convolutional Neural Networks.
Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021
Reducing the Calibration Effort of EEG Emotion Recognition using Domain Adaptation with Soft Labels.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
EEG-based Emotion Recognition Using Graph Convolutional Network with Learnable Electrode Relations.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
MEERNet: Multi-source EEG-based Emotion Recognition Network for Generalization Across Subjects and Sessions.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 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
2020
Multisource Transfer Learning for Cross-Subject EEG Emotion Recognition.
IEEE Trans. Cybern., 2020
Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity.
IEEE Trans. Cogn. Dev. Syst., 2020
A CNN-based comparing network for the detection of steady-state visual evoked potential responses.
Neurocomputing, 2020
Multi-Task Learning for Lung Nodule Classification on Chest CT.
IEEE Access, 2020
FOIT: Fast Online Instance Transfer for Improved EEG Emotion Recognition.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
EEG-Based Emotion Recognition with Prototype-Based Data Representation.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
EEG-Based Emotion Recognition with Similarity Learning Network.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
A comparing network for the classification of steady-state visual evoked potential responses based on convolutional neural network.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2019
2018
Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition.
Cogn. Comput., 2018
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018
2017
Semi-supervised Bayesian Deep Multi-modal Emotion Recognition.
CoRR, 2017
2016
Visual Information Processing Mechanism Revealed by fMRI Data.
Proceedings of the Brain Informatics and Health - International Conference, 2016
Implementation of EEG Emotion Recognition System Based on Hierarchical Convolutional Neural Networks.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2016