Adaptive Hardness-driven Augmentation and Alignment Strategies for Multi-Source Domain Adaptations.
CoRR, January, 2025
RAIN: Reconstructed-aware in-context enhancement with graph denoising for session-based recommendation.
Neural Networks, 2025
Prior Knowledge-Guided Triple-Domain Transformer-GAN for Direct PET Reconstruction From Low-Count Sinograms.
IEEE Trans. Medical Imaging, December, 2024
Semi-supervised medical image segmentation via hard positives oriented contrastive learning.
Pattern Recognit., February, 2024
Graph-enhanced context aware framework for session-based recommendation.
Neurocomputing, 2024
Root Defence Strategies: Ensuring Safety of LLM at the Decoding Level.
CoRR, 2024
From Pixels to Tokens: Revisiting Object Hallucinations in Large Vision-Language Models.
CoRR, 2024
YanTian: An Application Platform for AI Global Weather Forecasting Models.
CoRR, 2024
BTMuda: A Bi-level Multi-source unsupervised domain adaptation framework for breast cancer diagnosis.
CoRR, 2024
Learning with Alignments: Tackling the Inter- and Intra-domain Shifts for Cross-multidomain Facial Expression Recognition.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
ABP: Asymmetric Bilateral Prompting for Text-Guided Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Textmatch: Using Text Prompts to Improve Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Common Vision-Language Attention for Text-Guided Medical Image Segmentation of Pneumonia.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Enhancing Hybrid CNN-Transformer via Frequency-Based Bridging for Medical Image Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
ResDSda_U-Net: A Novel U-Net-Based Residual Network for Segmentation of Pulmonary Nodules in Lung CT Images.
IEEE Access, 2023
Lung Nodule Detection in Medical Images Based on Improved YOLOv5s.
IEEE Access, 2023
CACDU-Net: A Novel DoubleU-Net Based Semantic Segmentation Model for Skin Lesions Detection in Images.
IEEE Access, 2023
DBTrans: A Dual-Branch Vision Transformer for Multi-Modal Brain Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Leveraging Hard Positives for Contrastive Learning in Semi-Supervised Medical Image Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Statistical Inference of Truncated Normal Distribution Based on the Generalized Progressive Hybrid Censoring.
Entropy, 2021
Boundary Guidance Hierarchical Network for Real-Time Tongue Segmentation.
CoRR, 2020
Storage-Repair Tradeoff for Hierarchical Distributed Storage Systems.
Proceedings of the 2019 IEEE SmartWorld, 2019