Zehui Lin
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Known people with the same name:
Bibliography
2026
Explainable Molecular Property Prediction: Aligning Chemical Concepts With Predictions via Language Models.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2026
Stealthy Targeted Poisoning Attacks in Vertical Split Learning via Embedding Model Manipulation.
IEEE Trans. Dependable Secur. Comput., 2026
SGAFNet: Robust brain tumor segmentation via learnable sequence-guided adaptive fusion in available MRI acquisitions.
Comput. Medical Imaging Graph., 2026
MIGA-optimized variational mode decomposition with modality-adaptive wavelet thresholding for robust PPG denoising.
Biomed. Signal Process. Control., 2026
S-DAG: A Subject-Based Directed Acyclic Graph for Multi-Agent Heterogeneous Reasoning.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
UniMRISegNet: Universal 3D Network for Various Organs and Cancers Segmentation on Multi-Sequence MRI.
IEEE J. Biomed. Health Informatics, December, 2025
Diagnostic Performance of Universal-Learning Ultrasound AI Across Multiple Organs and Tasks: the UUSIC25 Challenge.
CoRR, December, 2025
FedMUA: Exploring the Vulnerabilities of Federated Learning to Malicious Unlearning Attacks.
CoRR, January, 2025
An orchestration learning framework for ultrasound imaging: Prompt-Guided Hyper-Perception and Attention-Matching Downstream Synchronization.
Medical Image Anal., 2025
2024
IEEE Trans. Vis. Comput. Graph., August, 2024
Automatic detection of breast lesions in automated 3D breast ultrasound with cross-organ transfer learning.
Virtual Real. Intell. Hardw., 2024
UniUSNet: A Promptable Framework for Universal Ultrasound Disease Prediction and Tissue Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
IEEE Trans. Vis. Comput. Graph., August, 2023
Multi-Constraint Latent Representation Learning for Prognosis Analysis Using Multi-Modal Data.
IEEE Trans. Neural Networks Learn. Syst., July, 2023
2022
Medical Image Anal., 2022
Medical Image Anal., 2022
HASA: Hybrid architecture search with aggregation strategy for echinococcosis classification and ovary segmentation in ultrasound images.
Expert Syst. Appl., 2022
Masked Video Modeling with Correlation-Aware Contrastive Learning for Breast Cancer Diagnosis in Ultrasound.
Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Intelligent Robotics and Applications - 15th International Conference, 2022
An Eye Movement Study of Joint Attention Deficits in Children with Autism Spectrum Disorders.
Proceedings of the Intelligent Robotics and Applications - 15th International Conference, 2022
2021
AW3M: An auto-weighting and recovery framework for breast cancer diagnosis using multi-modal ultrasound.
Medical Image Anal., 2021
Proceedings of the Sixth Conference on Machine Translation, 2021
Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Proceedings of the Fifth Conference on Machine Translation, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
2019
Medical Image Anal., 2019
CoRR, 2019
Proceedings of the Intelligent Computing Theories and Application, 2019
2018
Proceedings of the Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation, 2018