Yutong Xie
Orcid: 0000-0002-6644-1250
According to our database1,
Yutong Xie
authored at least 110 papers
between 2016 and 2025.
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Bibliography
2025
Consistency-Guided Differential Decoding for Enhancing Semi-Supervised Medical Image Segmentation.
IEEE Trans. Medical Imaging, January, 2025
2024
UniMiSS+: Universal Medical Self-Supervised Learning From Cross-Dimensional Unpaired Data.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
Incorporating interaction and transaction behaviors into a bi-level consensus model fusing with maximum return and minimum cost.
J. Oper. Res. Soc., November, 2024
Facilitating large-scale group decision-making in social networks: A bi-level consensus model with social influence.
Inf. Fusion, May, 2024
Modeling annotator preference and stochastic annotation error for medical image segmentation.
Medical Image Anal., February, 2024
Medical Image Anal., January, 2024
Vis. Intell., 2024
Medical Image Anal., 2024
TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers.
Medical Image Anal., 2024
Robust semi-supervised learning with reciprocal weighted mixing distribution alignment.
Eng. Appl. Artif. Intell., 2024
How Different AI Chatbots Behave? Benchmarking Large Language Models in Behavioral Economics Games.
CoRR, 2024
Bridging AI and Science: Implications from a Large-Scale Literature Analysis of AI4Science.
CoRR, 2024
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
CoRR, 2024
CoRR, 2024
CoRR, 2024
XLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training.
CoRR, 2024
Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions.
CoRR, 2024
CoRR, 2024
Optimal river basin water resources allocation considering multiple water sources joint scheduling: A bi-level multi-objective programming with copula-based interval-bistochastic information.
Comput. Ind. Eng., 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Continual Self-Supervised Learning: Towards Universal Multi-Modal Medical Data Representation Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-Training Framework.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the Computer Vision - ACCV 2024, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023
Multi-Granularity Aggregation Transformer for Joint Video-Audio-Text Representation Learning.
IEEE Trans. Circuits Syst. Video Technol., June, 2023
Expert Syst. Appl., May, 2023
<i>AR</i><sup>2</sup><i>PNET</i>: an adversarially robust re-weighting prototypical network for few-shot learning.
Int. J. Embed. Syst., 2023
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation.
CoRR, 2023
CoRR, 2023
Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image Segmentation.
CoRR, 2023
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Improved Flexibility and Interpretability of Large Vessel Stroke Prognostication Using Image Synthesis and Multi-task Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
PLMVQA: Applying Pseudo Labels for Medical Visual Question Answering with Limited Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
UniSeg: A Prompt-Driven Universal Segmentation Model as Well as A Strong Representation Learner.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Unpaired Cross-Modal Interaction Learning for COVID-19 Segmentation on Limited CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the 2023 13th International Conference on Communication and Network Security, 2023
PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Image Process., 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
Measurement-Conditioned Denoising Diffusion Probabilistic Model for Under-Sampled Medical Image Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
PET Denoising and Uncertainty Estimation Based on NVAE Model Using Quantile Regression Loss.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality Barrier.
Proceedings of the Computer Vision - ECCV 2022, 2022
Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Medical Imaging, 2021
How Much of the Chemical Space Has Been Covered? Measuring and Improving the Variety of Candidate Set in Molecular Generation.
CoRR, 2021
CoRR, 2021
Modeling Human Preference and Stochastic Error for Medical Image Segmentation with Multiple Annotators.
CoRR, 2021
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
DoDNet: Learning To Segment Multi-Organ and Tumors From Multiple Partially Labeled Datasets.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification.
IEEE Trans. Medical Imaging, 2020
Deep Reinforcement Learning for Backscatter-Aided Data Offloading in Mobile Edge Computing.
IEEE Netw., 2020
A General Computational Framework to Measure the Expressiveness of Complex Networks Using a Tighter Upper Bound of Linear Regions.
CoRR, 2020
CoRR, 2020
COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection.
CoRR, 2020
Optimization-driven Hierarchical Deep Reinforcement Learning for Hybrid Relaying Communications.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020
EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge.
Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
IEEE Trans. Medical Imaging, 2019
Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT.
IEEE Trans. Medical Imaging, 2019
Semi-supervised adversarial model for benign-malignant lung nodule classification on chest CT.
Medical Image Anal., 2019
Semi- and Weakly Supervised Directional Bootstrapping Model for Automated Skin Lesion Segmentation.
CoRR, 2019
Improved Three-Dimension Mathematical Model for Voltage Inversion of AC Overhead Transmission Lines.
IEEE Access, 2019
Proceedings of the 16th International Conference on Machine Vision Applications, 2019
Backscatter-Aided Hybrid Data Offloading for Mobile Edge Computing via Deep Reinforcement Learning.
Proceedings of the Machine Learning and Intelligent Communications, 2019
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Backscatter-Assisted Computation Offloading for Energy Harvesting IoT Devices via Policy-based Deep Reinforcement Learning.
Proceedings of the 2019 IEEE/CIC International Conference on Communications in China, 2019
Backscatter-Assisted Hybrid Relaying Strategy for Wireless Powered IoT Communications.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
2018
Classification of Medical Images in the Biomedical Literature by Jointly Using Deep and Handcrafted Visual Features.
IEEE J. Biomed. Health Informatics, 2018
Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT.
Inf. Fusion, 2018
A Multi-Level Deep Ensemble Model for Skin Lesion Classification in Dermoscopy Images.
CoRR, 2018
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
Classification of Medical Images and Illustrations in the Biomedical Literature Using Synergic Deep Learning.
CoRR, 2017
Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
Influence and Correction from the Human Body on the Measurement of a Power-Frequency Electric Field Sensor.
Sensors, 2016
Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016