Yutong Xie

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 110

Top Venues

CoRR

IEEE Trans. Medical Imaging

Medical Image Anal.

MICCAI (3)

Publications

Xingjian Zhang, Yutong Xie, Jin Huang, Jinge Ma, Zhaoying Pan, Qijia Liu, Ziyang Xiong, Tolga Ergen, Dongsub Shim, Honglak Lee, Qiaozhu Mei
MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows. CoRR (2024)
Yutong Xie, Jianpeng Zhang, Lingqiao Liu, Hu Wang, Yiwen Ye, Johan Verjans, Yong Xia
ReFs: A hybrid pre-training paradigm for 3D medical image segmentation. Medical Image Anal. 91 (2024)
Biao Wu, Yutong Xie, Zeyu Zhang, Minh Hieu Phan, Qi Chen, Ling Chen, Qi Wu
XLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training. CoRR (2024)
Yan Tu, Jiajia Song, Yutong Xie, Xiaoyang Zhou, Benjamin Lev
Facilitating large-scale group decision-making in social networks: A bi-level consensus model with social influence. Inf. Fusion 105 (2024)
Vu Minh Hieu Phan, Yutong Xie, Bowen Zhang, Yuankai Qi, Zhibin Liao, Antonios Perperidis, Son Lam Phung, Johan W. Verjans, Minh-Son To
Structural Attention: Rethinking Transformer for Unpaired Medical Image Synthesis. CoRR (2024)
Yan Tu, Yongzheng Lu, Yutong Xie, Benjamin Lev
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. 194 (2024)
Yutong Xie, Qi Chen, Sinuo Wang, Minh-Son To, Iris Lee, Ee Win Khoo, Kerolos Hendy, Daniel Koh, Yong Xia, Qi Wu
PairAug: What Can Augmented Image-Text Pairs Do for Radiology? CoRR (2024)
Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Shaoting Zhang, Lei Xing, Le Lu, Alan L. Yuille, Yuyin Zhou
TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers. Medical Image Anal. 97 (2024)
Townim Faisal Chowdhury, Kewen Liao, Vu Minh Hieu Phan, Minh-Son To, Yutong Xie, Kevin Hung, David Ross, Anton van den Hengel, Johan W. Verjans, Zhibin Liao
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation. CoRR (2024)
Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia
Modeling annotator preference and stochastic annotation error for medical image segmentation. Medical Image Anal. 92 (2024)
Hua Shen, Tiffany Knearem, Reshmi Ghosh, Kenan Alkiek, Kundan Krishna, Yachuan Liu, Ziqiao Ma, Savvas Petridis, Yi-Hao Peng, Li Qiwei, Sushrita Rakshit, Chenglei Si, Yutong Xie, Jeffrey P. Bigham, Frank Bentley, Joyce Chai, Zachary C. Lipton, Qiaozhu Mei, Rada Mihalcea, Michael Terry, Diyi Yang, Meredith Ringel Morris, Paul Resnick, David Jurgens
Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions. CoRR (2024)
Qingjie Zeng, Yutong Xie, Zilin Lu, Yong Xia
A human-in-the-loop method for pulmonary nodule detection in CT scans. Vis. Intell. 2 (1) (2024)
Himabindu Lakkaraju, Qiaozhu Mei, Chenhao Tan, Jie Tang, Yutong Xie
The First Workshop on AI Behavioral Science. KDD (2024)
Vu Minh Hieu Phan, Yutong Xie, Yuankai Qi, Lingqiao Liu, Liyang Liu, Bowen Zhang, Zhibin Liao, Qi Wu, Minh-Son To, Johan W. Verjans
Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework. CoRR (2024)
Nianhao Xiao, Long Wang, Jing Fan, Chunzhu Shi, Yutong Xie
A Certificateless Trusted Connection Protocol for Smart Factories. ICCNS (2023)
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
Improved Flexibility and Interpretability of Large Vessel Stroke Prognostication Using Image Synthesis and Multi-task Learning. MICCAI (5) (2023)
Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia
Transformer-Based Annotation Bias-Aware Medical Image Segmentation. MICCAI (4) (2023)
Mengge He, Wenjing Du, Zhiquan Wen, Qing Du, Yutong Xie, Qi Wu
Multi-Granularity Aggregation Transformer for Joint Video-Audio-Text Representation Learning. IEEE Trans. Circuits Syst. Video Technol. 33 (6) (2023)
Qingjie Zeng, Yutong Xie, Zilin Lu, Yong Xia
PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training. CVPR (2023)
Yutong Xie, Wei Sun, Miaomiao Ren, Shu Chen, Zexi Huang, Xingyou Pan
Stacking ensemble learning models for daily runoff prediction using 1D and 2D CNNs. Expert Syst. Appl. 217 (2023)
Qingjie Zeng, Yutong Xie, Zilin Lu, Mengkang Lu, Yicheng Wu, Yong Xia
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation. CoRR (2023)
Biao Wu, Yutong Xie, Zeyu Zhang, Jinchao Ge, Kaspar Yaxley, Suzan Bahadir, Qi Wu, Yifan Liu, Minh-Son To
BHSD: A 3D Multi-Class Brain Hemorrhage Segmentation Dataset. CoRR (2023)
Qi Chen, Yutong Xie, Biao Wu, Minh-Son To, James Ang, Qi Wu
S4M: Generating Radiology Reports by A Single Model for Multiple Body Parts. CoRR (2023)
Yutong Xie, Mingze Yuan, Bin Dong, Quanzheng Li
Unsupervised Image Denoising with Score Function. NeurIPS (2023)
Qingjie Zeng, Yutong Xie, Zilin Lu, Mengkang Lu, Yong Xia
Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image Segmentation. CoRR (2023)
Yutong Xie, Lin Gu, Tatsuya Harada, Jianpeng Zhang, Yong Xia, Qi Wu
MedIM: Boost Medical Image Representation via Radiology Report-Guided Masking. MICCAI (1) (2023)
Zehui Liao, Yutong Xie, Shishuai Hu, Yong Xia
Transformer-based Annotation Bias-aware Medical Image Segmentation. CoRR (2023)
Sirui Li, Li Guo, Xianmin Wang, Songcao Hou, Zhicong Qiu, Yutong Xie, Haiyan Liang
: an adversarially robust re-weighting prototypical network for few-shot learning. Int. J. Embed. Syst. 16 (2) (2023)
Yutong Xie, Jianpeng Zhang, Yong Xia, Chunhua Shen
Learning From Partially Labeled Data for Multi-Organ and Tumor Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Yutong Xie, Minne Yuan, Bin Dong, Quanzheng Li
Diffusion Model for Generative Image Denoising. CoRR (2023)
Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia
UniSeg: A Prompt-Driven Universal Segmentation Model as Well as A Strong Representation Learner. MICCAI (3) (2023)
Yutong Xie, Ziqiao Xu, Jiaqi Ma, Qiaozhu Mei
How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules. ICLR (2023)
Zheng Yu, Yanyuan Qiao, Yutong Xie, Qi Wu
Multi-modal Adapter for Medical Vision-and-Language Learning. MLMI@MICCAI (1) (2023)
Shaoteng Zhang, Jianpeng Zhang, Yutong Xie, Yong Xia
TPRO: Text-Prompting-Based Weakly Supervised Histopathology Tissue Segmentation. MICCAI (1) (2023)
Qiaozhu Mei, Yutong Xie, Walter Yuan, Matthew O. Jackson
A Turing Test: Are AI Chatbots Behaviorally Similar to Humans? CoRR (2023)
Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia
UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation Learner. CoRR (2023)
Zheng Yu, Yutong Xie, Yong Xia, Qi Wu
PLMVQA: Applying Pseudo Labels for Medical Visual Question Answering with Limited Data. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI (2023)
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
3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers. CoRR (2023)
Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Qi Wu, Yong Xia
Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning. CoRR (2023)
Yutong Xie, Bing Yang, Qingbiao Guan, Jianpeng Zhang, Qi Wu, Yong Xia
Attention Mechanisms in Medical Image Segmentation: A Survey. CoRR (2023)
Biao Wu, Yutong Xie, Zeyu Zhang, Jinchao Ge, Kaspar Yaxley, Suzan Bahadir, Qi Wu, Yifan Liu, Minh-Son To
BHSD: A 3D Multi-class Brain Hemorrhage Segmentation Dataset. MLMI@MICCAI (1) (2023)
Qingbiao Guan, Yutong Xie, Bing Yang, Jianpeng Zhang, Zhibin Liao, Qi Wu, Yong Xia
Unpaired Cross-Modal Interaction Learning for COVID-19 Segmentation on Limited CT Images. MICCAI (3) (2023)
Yutong Xie, Zhaoying Pan, Jinge Ma, Jie Luo, Qiaozhu Mei
A Prompt Log Analysis of Text-to-Image Generation Systems. CoRR (2023)
Yutong Xie, Mingze Yuan, Bin Dong, Quanzheng Li
Unsupervised Image Denoising with Score Function. CoRR (2023)
Yutong Xie, Zhaoying Pan, Jinge Ma, Luo Jie, Qiaozhu Mei
A Prompt Log Analysis of Text-to-Image Generation Systems. WWW (2023)
Yutong Xie, Jianpeng Zhang, Yong Xia, Chunhua Shen
Learning from partially labeled data for multi-organ and tumor segmentation. CoRR (2022)
Yutong Xie, Jianpeng Zhang, Yong Xia, Anton van den Hengel, Qi Wu
ClusTR: Exploring Efficient Self-attention via Clustering for Vision Transformers. CoRR (2022)
Zehui Liao, Yutong Xie, Shishuai Hu, Yong Xia
Learning From Ambiguous Labels for Lung Nodule Malignancy Prediction. IEEE Trans. Medical Imaging 41 (7) (2022)
Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia
Instance-specific Label Distribution Regularization for Learning with Label Noise. CoRR (2022)
Yutong Xie, Jianpeng Zhang, Zhibin Liao, Johan Verjans, Chunhua Shen, Yong Xia
Intra- and Inter-Pair Consistency for Semi-Supervised Gland Segmentation. IEEE Trans. Image Process. 31 (2022)
Yutong Xie, Jianpeng Zhang, Yong Xia, Qi Wu
UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality Barrier. ECCV (21) (2022)
Ting Long, Yutong Xie, Xianyu Chen, Weinan Zhang, Qinxiang Cao, Yong Yu
Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection. CoRR (2022)
Yutong Xie, Quanzheng Li
Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction. CoRR (2022)
Hexin Dong, Zifan Chen, Mingze Yuan, Yutong Xie, Jie Zhao, Fei Yu, Bin Dong, Li Zhang
Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation. CoRR (2022)
Yutong Xie, Quanzheng Li
Measurement-Conditioned Denoising Diffusion Probabilistic Model for Under-Sampled Medical Image Reconstruction. MICCAI (6) (2022)
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
PET Denoising and Uncertainty Estimation Based on NVAE Model Using Quantile Regression Loss. MICCAI (4) (2022)
Ting Long, Yutong Xie, Xianyu Chen, Weinan Zhang, Qinxiang Cao, Yong Yu
Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection. AAAI (2022)
Yutong Xie, Dufan Wu, Bin Dong, Quanzheng Li
Trained Model in Supervised Deep Learning is a Conditional Risk Minimizer. CoRR (2022)
Hexin Dong, Zifan Chen, Mingze Yuan, Yutong Xie, Jie Zhao, Fei Yu, Bin Dong, Li Zhang
Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation. IJCAI (2022)
Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia
Modeling Human Preference and Stochastic Error for Medical Image Segmentation with Multiple Annotators. CoRR (2021)
Yutong Xie, Ziqiao Xu, Jiaqi Ma, Qiaozhu Mei
How Much of the Chemical Space Has Been Covered? Measuring and Improving the Variety of Candidate Set in Molecular Generation. CoRR (2021)
Thibaut Thonet, Stéphane Clinchant, Carlos Lassance, Elvin Isufi, Jiaqi Ma, Yutong Xie, Jean-Michel Renders, Michael M. Bronstein
GReS: Workshop on Graph Neural Networks for Recommendation and Search. RecSys (2021)
Zehui Liao, Yutong Xie, Shishuai Hu, Yong Xia
Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction. CoRR (2021)
Yutong Xie, Jianpeng Zhang, Yong Xia, Qi Wu
Unified 2D and 3D Pre-training for Medical Image classification and Segmentation. CoRR (2021)
Jianpeng Zhang, Yutong Xie, Yong Xia, Chunhua Shen
DoDNet: Learning To Segment Multi-Organ and Tumors From Multiple Partially Labeled Datasets. CVPR (2021)
Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, Lei Li
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery. CoRR (2021)
Jianpeng Zhang, Yutong Xie, Yan Wang, Yong Xia
Inter-Slice Context Residual Learning for 3D Medical Image Segmentation. IEEE Trans. Medical Imaging 40 (2) (2021)
Yutong Xie, Jianpeng Zhang, Chunhua Shen, Yong Xia
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation. MICCAI (3) (2021)
Jianpeng Zhang, Yutong Xie, Guansong Pang, Zhibin Liao, Johan Verjans, Wenxing Li, Zongji Sun, Jian He, Yi Li, Chunhua Shen, Yong Xia
Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection. IEEE Trans. Medical Imaging 40 (3) (2021)
Yutong Xie, Jianpeng Zhang, Hao Lu, Chunhua Shen, Yong Xia
SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors. IEEE Trans. Medical Imaging 40 (1) (2021)
Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, Lei Li
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery. ICLR (2021)
Yutong Xie, Jianpeng Zhang, Chunhua Shen, Yong Xia
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation. CoRR (2021)
Jianpeng Zhang, Yutong Xie, Zhibin Liao, Johan Verjans, Yong Xia
EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge. MyoPS@MICCAI (2020)
Yutong Xie, Jianpeng Zhang, Yong Xia, Chunhua Shen
A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification. IEEE Trans. Medical Imaging 39 (7) (2020)
Yutong Xie, Gaoxiang Chen, Quanzheng Li
A General Computational Framework to Measure the Expressiveness of Complex Networks Using a Tighter Upper Bound of Linear Regions. CoRR (2020)
Yutong Xie, Jianpeng Zhang, Zhibin Liao, Chunhua Shen, Johan Verjans, Yong Xia
Pairwise Relation Learning for Semi-supervised Gland Segmentation. CoRR (2020)
Yuze Zou, Yutong Xie, Canhui Zhang, Shimin Gong, Dinh Thai Hoang, Dusit Niyato
Optimization-driven Hierarchical Deep Reinforcement Learning for Hybrid Relaying Communications. WCNC (2020)
Shimin Gong, Yutong Xie, Jing Xu, Dusit Niyato, Ying-Chang Liang
Deep Reinforcement Learning for Backscatter-Aided Data Offloading in Mobile Edge Computing. CoRR (2020)
Shimin Gong, Yutong Xie, Jing Xu, Dusit Niyato, Ying-Chang Liang
Deep Reinforcement Learning for Backscatter-Aided Data Offloading in Mobile Edge Computing. IEEE Netw. 34 (5) (2020)
Yutong Xie, Jianpeng Zhang, Zehui Liao, Yong Xia, Chunhua Shen
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation. CoRR (2020)
Jianpeng Zhang, Yutong Xie, Yi Li, Chunhua Shen, Yong Xia
COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection. CoRR (2020)
Yutong Xie, Jianpeng Zhang, Zhibin Liao, Johan Verjans, Chunhua Shen, Yong Xia
Pairwise Relation Learning for Semi-supervised Gland Segmentation. MICCAI (5) (2020)
Jianpeng Zhang, Yutong Xie, Yong Xia, Chunhua Shen
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets. CoRR (2020)
Jianpeng Zhang, Yutong Xie, Yan Wang, Yong Xia
Inter-slice Context Residual Learning for 3D Medical Image Segmentation. CoRR (2020)
Jianpeng Zhang, Yutong Xie, Yong Xia, Chunhua Shen
Attention Residual Learning for Skin Lesion Classification. IEEE Trans. Medical Imaging 38 (9) (2019)
Jianpeng Zhang, Yutong Xie, Pingping Zhang, Hao Chen, Yong Xia, Chunhua Shen
Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation. IJCAI (2019)
Yutong Xie, Zhengzhuo Xu, Shimin Gong, Jing Xu, Dinh Thai Hoang, Dusit Niyato
Backscatter-Assisted Hybrid Relaying Strategy for Wireless Powered IoT Communications. GLOBECOM (2019)
Yutong Xie, Jianpeng Zhang, Yong Xia
Semi-supervised adversarial model for benign-malignant lung nodule classification on chest CT. Medical Image Anal. 57 (2019)
Dongping Xiao, Tao He, Wenhan Zhao, Xuefei Du, Yutong Xie
Improved Three-Dimension Mathematical Model for Voltage Inversion of AC Overhead Transmission Lines. IEEE Access 7 (2019)
Yutong Xie, Yong Xia, Jianpeng Zhang, Yang Song, Dagan Feng, Michael J. Fulham, Weidong Cai
Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT. IEEE Trans. Medical Imaging 38 (4) (2019)
Feng Zhang, Yutong Xie, Yong Xia, Yanning Zhang
A Pulmonary Nodule Detection Method Based on Residual Learning and Dense Connection. DART/MIL3ID@MICCAI (2019)
Jianpeng Zhang, Yutong Xie, Qi Wu, Yong Xia
Medical image classification using synergic deep learning. Medical Image Anal. 54 (2019)
Yutong Xie, Jianpeng Zhang, Yong Xia, Chunhua Shen
Semi- and Weakly Supervised Directional Bootstrapping Model for Automated Skin Lesion Segmentation. CoRR (2019)
Yutong Xie, Zhengzhuo Xu, Jing Xu, Shimin Gong, Yi Wang
Backscatter-Aided Hybrid Data Offloading for Mobile Edge Computing via Deep Reinforcement Learning. MLICOM (2019)
Yutong Xie, Haiyang Wang, Yan Hao, Zihao Xu
Visual Rhythm Prediction with Feature-Aligning Network. CoRR (2019)
Yutong Xie, Haiyang Wang, Yan Hao, Zihao Xu
Visual Rhythm Prediction with Feature-Aligning Network. MVA (2019)
Yutong Xie, Zhengzhuo Xu, Yuxing Zhong, Jing Xu, Shimin Gong, Yi Wang
Backscatter-Assisted Computation Offloading for Energy Harvesting IoT Devices via Policy-based Deep Reinforcement Learning. ICCC Workshops (2019)
Yutong Xie, Hao Lu, Jianpeng Zhang, Chunhua Shen, Yong Xia
Deep Segmentation-Emendation Model for Gland Instance Segmentation. MICCAI (1) (2019)
Jianpeng Zhang, Yutong Xie, Qi Wu, Yong Xia
Skin Lesion Classification in Dermoscopy Images Using Synergic Deep Learning. MICCAI (2) (2018)
Senyi Liu, Yutong Xie, Lianxin Zhang, Xiangyu Lei, Xiao Yu, Zhenglong Sun, Huihuan Qian
Trajectory Tracking for Leader-Follower Vehicle System with Velocity Constraints. ROBIO (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yutong Xie