Yutong Xie

According to our database, Yutong Xie authored at least 85 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Facilitating large-scale group decision-making in social networks: A bi-level consensus model with social influence.

Yan Tu, Jiajia Song, Yutong Xie, Xiaoyang Zhou, Benjamin Lev

Inf. Fusion, May, 2024

Modeling annotator preference and stochastic annotation error for medical image segmentation.

Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia

Medical Image Anal., February, 2024

ReFs: A hybrid pre-training paradigm for 3D medical image segmentation.

Yutong Xie, Jianpeng Zhang, Lingqiao Liu, Hu Wang, Yiwen Ye, Johan Verjans, Yong Xia

Medical Image Anal., January, 2024

Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework.

Vu Minh Hieu Phan, Yutong Xie, Yuankai Qi, Lingqiao Liu, Liyang Liu, Bowen Zhang, Zhibin Liao, Qi Wu, Minh-Son To, Johan W. Verjans

CoRR, 2024

2023

Learning From Partially Labeled Data for Multi-Organ and Tumor Segmentation.

Yutong Xie, Jianpeng Zhang, Yong Xia, Chunhua Shen

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Multi-Granularity Aggregation Transformer for Joint Video-Audio-Text Representation Learning.

Mengge He, Wenjing Du, Zhiquan Wen, Qing Du, Yutong Xie, Qi Wu

IEEE Trans. Circuits Syst. Video Technol., June, 2023

Stacking ensemble learning models for daily runoff prediction using 1D and 2D CNNs.

Yutong Xie, Wei Sun, Miaomiao Ren, Shu Chen, Zexi Huang, Xingyou Pan

Expert Syst. Appl., May, 2023

<i>AR</i>²<i>PNET</i>: an adversarially robust re-weighting prototypical network for few-shot learning.

Sirui Li, Li Guo, Xianmin Wang, Songcao Hou, Zhicong Qiu, Yutong Xie, Haiyan Liang

Int. J. Embed. Syst., 2023

A Turing Test: Are AI Chatbots Behaviorally Similar to Humans?

Qiaozhu Mei, Yutong Xie, Walter Yuan, Matthew O. Jackson

CoRR, 2023

Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning.

Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Qi Wu, Yong Xia

CoRR, 2023

Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation.

Qingjie Zeng, Yutong Xie, Zilin Lu, Mengkang Lu, Yicheng Wu, Yong Xia

CoRR, 2023

3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers.

Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Lei Xing, Le Lu, Alan L. Yuille, Yuyin Zhou

CoRR, 2023

Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image Segmentation.

Qingjie Zeng, Yutong Xie, Zilin Lu, Mengkang Lu, Yong Xia

CoRR, 2023

BHSD: A 3D Multi-Class Brain Hemorrhage Segmentation Dataset.

Biao Wu, Yutong Xie, Zeyu Zhang, Jinchao Ge, Kaspar Yaxley, Suzan Bahadir, Qi Wu, Yifan Liu, Minh-Son To

CoRR, 2023

Attention Mechanisms in Medical Image Segmentation: A Survey.

Yutong Xie, Bing Yang, Qingbiao Guan, Jianpeng Zhang, Qi Wu, Yong Xia

CoRR, 2023

S4M: Generating Radiology Reports by A Single Model for Multiple Body Parts.

Qi Chen, Yutong Xie, Biao Wu, Minh-Son To, James Ang, Qi Wu

CoRR, 2023

Unsupervised Image Denoising with Score Function.

Yutong Xie, Mingze Yuan, Bin Dong, Quanzheng Li

CoRR, 2023

Diffusion Model for Generative Image Denoising.

Yutong Xie, Minne Yuan, Bin Dong, Quanzheng Li

CoRR, 2023

A Prompt Log Analysis of Text-to-Image Generation Systems.

Yutong Xie, Zhaoying Pan, Jinge Ma, Luo Jie, Qiaozhu Mei

Proceedings of the ACM Web Conference 2023, 2023

Unsupervised Image Denoising with Score Function.

Yutong Xie, Mingze Yuan, Bin Dong, Quanzheng Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-modal Adapter for Medical Vision-and-Language Learning.

Zheng Yu, Yanyuan Qiao, Yutong Xie, Qi Wu

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

BHSD: A 3D Multi-class Brain Hemorrhage Segmentation Dataset.

Biao Wu, Yutong Xie, Zeyu Zhang, Jinchao Ge, Kaspar Yaxley, Suzan Bahadir, Qi Wu, Yifan Liu, Minh-Son To

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

TPRO: Text-Prompting-Based Weakly Supervised Histopathology Tissue Segmentation.

Shaoteng Zhang, Jianpeng Zhang, Yutong Xie, Yong Xia

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.

Minyan Zeng, Yutong Xie, Minh-Son To, Lauren Oakden-Rayner, Luke Whitbread, Stephen Bacchi, Alix Bird, Luke Smith, Rebecca Scroop, Timothy Kleinig, Jim Jannes, Lyle J. Palmer, Mark Jenkinson

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.

Zheng Yu, Yutong Xie, Yong Xia, Qi Wu

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.

Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

MedIM: Boost Medical Image Representation via Radiology Report-Guided Masking.

Yutong Xie, Lin Gu, Tatsuya Harada, Jianpeng Zhang, Yong Xia, Qi Wu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Transformer-Based Annotation Bias-Aware Medical Image Segmentation.

Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia

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.

Qingbiao Guan, Yutong Xie, Bing Yang, Jianpeng Zhang, Zhibin Liao, Qi Wu, Yong Xia

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.

Yutong Xie, Ziqiao Xu, Jiaqi Ma, Qiaozhu Mei

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Certificateless Trusted Connection Protocol for Smart Factories.

Nianhao Xiao, Long Wang, Jing Fan, Chunzhu Shi, Yutong Xie

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.

Qingjie Zeng, Yutong Xie, Zilin Lu, Yong Xia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Learning From Ambiguous Labels for Lung Nodule Malignancy Prediction.

Zehui Liao, Yutong Xie, Shishuai Hu, Yong Xia

IEEE Trans. Medical Imaging, 2022

Intra- and Inter-Pair Consistency for Semi-Supervised Gland Segmentation.

Yutong Xie, Jianpeng Zhang, Zhibin Liao, Johan Verjans, Chunhua Shen, Yong Xia

IEEE Trans. Image Process., 2022

Instance-specific Label Distribution Regularization for Learning with Label Noise.

Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia

CoRR, 2022

ClusTR: Exploring Efficient Self-attention via Clustering for Vision Transformers.

Yutong Xie, Jianpeng Zhang, Yong Xia, Anton van den Hengel, Qi Wu

CoRR, 2022

Trained Model in Supervised Deep Learning is a Conditional Risk Minimizer.

Yutong Xie, Dufan Wu, Bin Dong, Quanzheng Li

CoRR, 2022

Measurement-Conditioned Denoising Diffusion Probabilistic Model for Under-Sampled Medical Image Reconstruction.

Yutong Xie, Quanzheng Li

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.

Jianan Cui, Yutong Xie, Anand A. Joshi, Kuang Gong, Kyung Sang Kim, Young-Don Son, Jong Hoon Kim, Richard M. Leahy, Huafeng Liu, Quanzheng Li

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.

Hexin Dong, Zifan Chen, Mingze Yuan, Yutong Xie, Jie Zhao, Fei Yu, Bin Dong, Li Zhang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality Barrier.

Yutong Xie, Jianpeng Zhang, Yong Xia, Qi Wu

Proceedings of the Computer Vision - ECCV 2022, 2022

Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection.

Ting Long, Yutong Xie, Xianyu Chen, Weinan Zhang, Qinxiang Cao, Yong Yu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Inter-Slice Context Residual Learning for 3D Medical Image Segmentation.

Jianpeng Zhang, Yutong Xie, Yan Wang, Yong Xia

IEEE Trans. Medical Imaging, 2021

Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection.

Jianpeng Zhang, Yutong Xie, Guansong Pang, Zhibin Liao, Johan Verjans, Wenxing Li, Zongji Sun, Jian He, Yi Li, Chunhua Shen, Yong Xia

IEEE Trans. Medical Imaging, 2021

SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors.

Yutong Xie, Jianpeng Zhang, Hao Lu, Chunhua Shen, Yong Xia

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.

Yutong Xie, Ziqiao Xu, Jiaqi Ma, Qiaozhu Mei

CoRR, 2021

Unified 2D and 3D Pre-training for Medical Image classification and Segmentation.

Yutong Xie, Jianpeng Zhang, Yong Xia, Qi Wu

CoRR, 2021

Modeling Human Preference and Stochastic Error for Medical Image Segmentation with Multiple Annotators.

Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia

CoRR, 2021

GReS: Workshop on Graph Neural Networks for Recommendation and Search.

Thibaut Thonet, Stéphane Clinchant, Carlos Lassance, Elvin Isufi, Jiaqi Ma, Yutong Xie, Jean-Michel Renders, Michael M. Bronstein

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation.

Yutong Xie, Jianpeng Zhang, Chunhua Shen, Yong Xia

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

MARS: Markov Molecular Sampling for Multi-objective Drug Discovery.

Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, Lei Li

Proceedings of the 9th International Conference on Learning Representations, 2021

DoDNet: Learning To Segment Multi-Organ and Tumors From Multiple Partially Labeled Datasets.

Jianpeng Zhang, Yutong Xie, Yong Xia, Chunhua Shen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification.

Yutong Xie, Jianpeng Zhang, Yong Xia, Chunhua Shen

IEEE Trans. Medical Imaging, 2020

Deep Reinforcement Learning for Backscatter-Aided Data Offloading in Mobile Edge Computing.

Shimin Gong, Yutong Xie, Jing Xu, Dusit Niyato, Ying-Chang Liang

IEEE Netw., 2020

A General Computational Framework to Measure the Expressiveness of Complex Networks Using a Tighter Upper Bound of Linear Regions.

Yutong Xie, Gaoxiang Chen, Quanzheng Li

CoRR, 2020

PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation.

Yutong Xie, Jianpeng Zhang, Zehui Liao, Yong Xia, Chunhua Shen

CoRR, 2020

COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection.

Jianpeng Zhang, Yutong Xie, Yi Li, Chunhua Shen, Yong Xia

CoRR, 2020

Optimization-driven Hierarchical Deep Reinforcement Learning for Hybrid Relaying Communications.

Yuze Zou, Yutong Xie, Canhui Zhang, Shimin Gong, Dinh Thai Hoang, Dusit Niyato

Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge.

Jianpeng Zhang, Yutong Xie, Zhibin Liao, Johan Verjans, Yong Xia

Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020

Pairwise Relation Learning for Semi-supervised Gland Segmentation.

Yutong Xie, Jianpeng Zhang, Zhibin Liao, Johan Verjans, Chunhua Shen, Yong Xia

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Attention Residual Learning for Skin Lesion Classification.

Jianpeng Zhang, Yutong Xie, Yong Xia, Chunhua Shen

IEEE Trans. Medical Imaging, 2019

Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT.

Yutong Xie, Yong Xia, Jianpeng Zhang, Yang Song, Dagan Feng, Michael J. Fulham, Weidong Cai

IEEE Trans. Medical Imaging, 2019

Medical image classification using synergic deep learning.

Jianpeng Zhang, Yutong Xie, Qi Wu, Yong Xia

Medical Image Anal., 2019

Semi-supervised adversarial model for benign-malignant lung nodule classification on chest CT.

Yutong Xie, Jianpeng Zhang, Yong Xia

Medical Image Anal., 2019

Semi- and Weakly Supervised Directional Bootstrapping Model for Automated Skin Lesion Segmentation.

Yutong Xie, Jianpeng Zhang, Yong Xia, Chunhua Shen

CoRR, 2019

Improved Three-Dimension Mathematical Model for Voltage Inversion of AC Overhead Transmission Lines.

Dongping Xiao, Tao He, Wenhan Zhao, Xuefei Du, Yutong Xie

IEEE Access, 2019

Visual Rhythm Prediction with Feature-Aligning Network.

Yutong Xie, Haiyang Wang, Yan Hao, Zihao Xu

Proceedings of the 16th International Conference on Machine Vision Applications, 2019

Backscatter-Aided Hybrid Data Offloading for Mobile Edge Computing via Deep Reinforcement Learning.

Yutong Xie, Zhengzhuo Xu, Jing Xu, Shimin Gong, Yi Wang

Proceedings of the Machine Learning and Intelligent Communications, 2019

A Pulmonary Nodule Detection Method Based on Residual Learning and Dense Connection.

Feng Zhang, Yutong Xie, Yong Xia, Yanning Zhang

Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

Deep Segmentation-Emendation Model for Gland Instance Segmentation.

Yutong Xie, Hao Lu, Jianpeng Zhang, Chunhua Shen, Yong Xia

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation.

Jianpeng Zhang, Yutong Xie, Pingping Zhang, Hao Chen, Yong Xia, Chunhua Shen

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.

Yutong Xie, Zhengzhuo Xu, Yuxing Zhong, Jing Xu, Shimin Gong, Yi Wang

Proceedings of the 2019 IEEE/CIC International Conference on Communications in China, 2019

Backscatter-Assisted Hybrid Relaying Strategy for Wireless Powered IoT Communications.

Yutong Xie, Zhengzhuo Xu, Shimin Gong, Jing Xu, Dinh Thai Hoang, Dusit Niyato

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.

Jianpeng Zhang, Yong Xia, Yutong Xie, Michael J. Fulham, David Dagan Feng

IEEE J. Biomed. Health Informatics, 2018

A Power-Frequency Electric Field Sensor for Portable Measurement.

Dongping Xiao, Qichao Ma, Yutong Xie, Qi Zheng, Zhanlong Zhang

Sensors, 2018

Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT.

Yutong Xie, Jianpeng Zhang, Yong Xia, Michael J. Fulham, Yanning Zhang

Inf. Fusion, 2018

A Multi-Level Deep Ensemble Model for Skin Lesion Classification in Dermoscopy Images.

Yutong Xie, Jianpeng Zhang, Yong Xia

CoRR, 2018

Lidar-IMU Fusion for 2.5D Mapping.

Yutong Xie, Hao Chen, Wanzhi Zhang, Shuaijun Li, Huihuan Qian

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018

Trajectory Tracking for Leader-Follower Vehicle System with Velocity Constraints.

Senyi Liu, Yutong Xie, Lianxin Zhang, Xiangyu Lei, Xiao Yu, Zhenglong Sun, Huihuan Qian

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018

Trajectory Tracking of Unicycle-type Robots with Constraints.

Chaoxun Guo, Zhenglong Sun, Yongquan Chen, Yutong Xie, Shuaijun Li, Huihuan Qian

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018

Skin Lesion Classification in Dermoscopy Images Using Synergic Deep Learning.

Jianpeng Zhang, Yutong Xie, Qi Wu, Yong Xia

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.

Jianpeng Zhang, Yong Xia, Qi Wu, Yutong Xie

CoRR, 2017

Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT.

Yutong Xie, Yong Xia, Jianpeng Zhang, David Dagan Feng, Michael J. Fulham, Weidong Cai

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.

Dongping Xiao, Huaitong Liu, Qiang Zhou, Yutong Xie, Qichao Ma

Sensors, 2016

Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features.

Yutong Xie, Jianpeng Zhang, Sidong Liu, Weidong Cai, Yong Xia

Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016