DatawiseAgent: A Notebook-Centric LLM Agent Framework for Automated Data Science.
CoRR, March, 2025
STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Graph Structure Enhanced Pre-Training Language Model for Knowledge Graph Completion.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2024
Decouple and Decorrelate: A Disentanglement Security Framework Combining Sample Weighting for Cross-Institution Biased Disease Diagnosis.
IEEE Internet Things J., 2024
No-Reference MRI Quality Assessment via Contrastive Representation: Spatial and Frequency Domain Perspectives.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
A Novel Multi-Atlas Fusion Model Based On Contrastive Learning For Functional Connectivity Graph Diagnosis.
Proceedings of the IEEE International Conference on Acoustics, 2024
Curriculum Learning for Self-Iterative Semi-Supervised Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
MR Image Quality Assessment via Enhanced Mamba: A Hybrid Spatial-Frequency Approach.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
MLeVLM: Improve Multi-level Progressive Capabilities based on Multimodal Large Language Model for Medical Visual Question Answering.
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Proceedings of the Findings of the Association for Computational Linguistics, 2024
A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Vision-knowledge fusion model for multi-domain medical report generation.
Inf. Fusion, September, 2023
Refining the Unseen: Self-supervised Two-stream Feature Extraction for Image Quality Assessment.
Proceedings of the IEEE International Conference on Data Mining, 2023
Radiology Report Generation via Structured Knowledge-Enhanced Multi-modal Attention and Contrastive Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023