Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features. - Yutong Xie; Jianpeng Zhang; Sidong Liu; Weidong Cai 001; Yong Xia 001 (MCV/BAMBI@MICCAI, 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)

Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT. - Yutong Xie; Yong Xia 001; Jianpeng Zhang; David Dagan Feng; Michael J. Fulham; Weidong Cai 001 (MICCAI (3), 2017)

Classification of Medical Images and Illustrations in the Biomedical Literature Using Synergic Deep Learning. - Jianpeng Zhang; Yong Xia 001; Qi Wu 001; Yutong Xie (CoRR, 2017)

Skin Lesion Classification in Dermoscopy Images Using Synergic Deep Learning. - Jianpeng Zhang; Yutong Xie; Qi Wu 001; Yong Xia 001 (MICCAI (2), 2018)

Trajectory Tracking of Unicycle-type Robots with Constraints. - Chaoxun Guo; Zhenglong Sun 001; Yongquan Chen; Yutong Xie; Shuaijun Li; Huihuan Qian (ROBIO, 2018)

Trajectory Tracking for Leader-Follower Vehicle System with Velocity Constraints. - Senyi Liu; Yutong Xie; Lianxin Zhang; Xiangyu Lei; Xiao Yu 002; Zhenglong Sun 001; Huihuan Qian (ROBIO, 2018)

Lidar-IMU Fusion for 2.5D Mapping. - Yutong Xie; Hao Chen; Wanzhi Zhang; Shuaijun Li; Huihuan Qian (ROBIO, 2018)

A Multi-Level Deep Ensemble Model for Skin Lesion Classification in Dermoscopy Images. - Yutong Xie; Jianpeng Zhang; Yong Xia 001 (CoRR, 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 001; Michael J. Fulham; Yanning Zhang (Inf. Fusion, 2018)

A Power-Frequency Electric Field Sensor for Portable Measurement. - Dongping Xiao; Qichao Ma; Yutong Xie; Qi Zheng; Zhanlong Zhang (Sensors, 2018)

Classification of Medical Images in the Biomedical Literature by Jointly Using Deep and Handcrafted Visual Features. - Jianpeng Zhang; Yong Xia 001; Yutong Xie; Michael J. Fulham; David Dagan Feng (IEEE J. Biomed. Health Informatics, 2018)

Backscatter-Assisted Hybrid Relaying Strategy for Wireless Powered IoT Communications. - Yutong Xie; Zhengzhuo Xu; Shimin Gong; Jing Xu 005; Dinh Thai Hoang; Dusit Niyato (GLOBECOM, 2019)

Backscatter-Assisted Computation Offloading for Energy Harvesting IoT Devices via Policy-based Deep Reinforcement Learning. - Yutong Xie; Zhengzhuo Xu; Yuxing Zhong; Jing Xu 005; Shimin Gong; Yi Wang (ICCC Workshops, 2019)

Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation. - Jianpeng Zhang; Yutong Xie; Pingping Zhang; Hao Chen 041; Yong Xia 001; Chunhua Shen (IJCAI, 2019)

Deep Segmentation-Emendation Model for Gland Instance Segmentation. - Yutong Xie; Hao Lu 003; Jianpeng Zhang; Chunhua Shen; Yong Xia 001 (MICCAI (1), 2019)

A Pulmonary Nodule Detection Method Based on Residual Learning and Dense Connection. - Feng Zhang; Yutong Xie; Yong Xia 001; Yanning Zhang (DART/MIL3ID@MICCAI, 2019)

Backscatter-Aided Hybrid Data Offloading for Mobile Edge Computing via Deep Reinforcement Learning. - Yutong Xie; Zhengzhuo Xu; Jing Xu 005; Shimin Gong; Yi Wang (MLICOM, 2019)

Visual Rhythm Prediction with Feature-Aligning Network. - Yutong Xie; Haiyang Wang; Yan Hao; Zihao Xu (MVA, 2019)

Improved Three-Dimension Mathematical Model for Voltage Inversion of AC Overhead Transmission Lines. - Dongping Xiao; Tao He 006; Wenhan Zhao; Xuefei Du; Yutong Xie (IEEE Access, 2019)

Semi- and Weakly Supervised Directional Bootstrapping Model for Automated Skin Lesion Segmentation. - Yutong Xie; Jianpeng Zhang; Yong Xia 001; Chunhua Shen (CoRR, 2019)

Semi-supervised adversarial model for benign-malignant lung nodule classification on chest CT. - Yutong Xie; Jianpeng Zhang; Yong Xia 001 (Medical Image Anal., 2019)

Medical image classification using synergic deep learning. - Jianpeng Zhang; Yutong Xie; Qi Wu 001; Yong Xia 001 (Medical Image Anal., 2019)

Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT. - Yutong Xie; Yong Xia 001; Jianpeng Zhang; Yang Song 001; Dagan Feng 001; Michael J. Fulham; Weidong Cai 001 (IEEE Trans. Medical Imaging, 2019)

Attention Residual Learning for Skin Lesion Classification. - Jianpeng Zhang; Yutong Xie; Yong Xia 001; Chunhua Shen (IEEE Trans. Medical Imaging, 2019)

Pairwise Relation Learning for Semi-supervised Gland Segmentation. - Yutong Xie; Jianpeng Zhang; Zhibin Liao; Johan Verjans; Chunhua Shen; Yong Xia 001 (MICCAI (5), 2020)

EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge. - Jianpeng Zhang; Yutong Xie; Zhibin Liao; Johan Verjans; Yong Xia 001 (MyoPS@MICCAI, 2020)

Optimization-driven Hierarchical Deep Reinforcement Learning for Hybrid Relaying Communications. - Yuze Zou; Yutong Xie; Canhui Zhang; Shimin Gong; Dinh Thai Hoang; Dusit Niyato (WCNC, 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 001 (CoRR, 2020)

PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation. - Yutong Xie; Jianpeng Zhang; Zehui Liao; Yong Xia 001; Chunhua Shen (CoRR, 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)

Deep Reinforcement Learning for Backscatter-Aided Data Offloading in Mobile Edge Computing. - Shimin Gong; Yutong Xie; Jing Xu 005; Dusit Niyato; Ying-Chang Liang (IEEE Netw., 2020)

A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification. - Yutong Xie; Jianpeng Zhang; Yong Xia 001; Chunhua Shen (IEEE Trans. Medical Imaging, 2020)

DoDNet: Learning To Segment Multi-Organ and Tumors From Multiple Partially Labeled Datasets. - Jianpeng Zhang; Yutong Xie; Yong Xia 001; Chunhua Shen (CVPR, 2021)

MARS: Markov Molecular Sampling for Multi-objective Drug Discovery. - Yutong Xie; Chence Shi; Hao Zhou 012; Yuwei Yang; Weinan Zhang 001; Yong Yu 001; Lei Li 005 (ICLR, 2021)

CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation. - Yutong Xie; Jianpeng Zhang; Chunhua Shen; Yong Xia 001 (MICCAI (3), 2021)

GReS: Workshop on Graph Neural Networks for Recommendation and Search. - Thibaut Thonet; Stéphane Clinchant; Carlos Lassance; Elvin Isufi; Jiaqi Ma 001; Yutong Xie; Jean-Michel Renders; Michael M. Bronstein (RecSys, 2021)

Modeling Human Preference and Stochastic Error for Medical Image Segmentation with Multiple Annotators. - Zehui Liao; Shishuai Hu; Yutong Xie; Yong Xia 001 (CoRR, 2021)

Unified 2D and 3D Pre-training for Medical Image classification and Segmentation. - Yutong Xie; Jianpeng Zhang; Yong Xia 001; Qi Wu 001 (CoRR, 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 001; Qiaozhu Mei (CoRR, 2021)

SESV: Accurate Medical Image Segmentation by Predicting and Correcting Errors. - Yutong Xie; Jianpeng Zhang; Hao Lu 003; Chunhua Shen; Yong Xia 001 (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 001 (IEEE Trans. Medical Imaging, 2021)

Inter-Slice Context Residual Learning for 3D Medical Image Segmentation. - Jianpeng Zhang; Yutong Xie; Yan Wang; Yong Xia 001 (IEEE Trans. Medical Imaging, 2021)

Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection. - Ting Long; Yutong Xie; Xianyu Chen; Weinan Zhang 001; Qinxiang Cao; Yong Yu 001 (AAAI, 2022)

UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality Barrier. - Yutong Xie; Jianpeng Zhang; Yong Xia 001; Qi Wu 001 (ECCV (21), 2022)

Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation. - Hexin Dong; Zifan Chen; Mingze Yuan; Yutong Xie; Jie Zhao 009; Fei Yu; Bin Dong 001; Li Zhang 047 (IJCAI, 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 003; Quanzheng Li (MICCAI (4), 2022)

Measurement-Conditioned Denoising Diffusion Probabilistic Model for Under-Sampled Medical Image Reconstruction. - Yutong Xie; Quanzheng Li (MICCAI (6), 2022)

Trained Model in Supervised Deep Learning is a Conditional Risk Minimizer. - Yutong Xie; Dufan Wu; Bin Dong 001; Quanzheng Li (CoRR, 2022)

ClusTR: Exploring Efficient Self-attention via Clustering for Vision Transformers. - Yutong Xie; Jianpeng Zhang; Yong Xia 001; Anton van den Hengel; Qi Wu 001 (CoRR, 2022)

Instance-specific Label Distribution Regularization for Learning with Label Noise. - Zehui Liao; Shishuai Hu; Yutong Xie; Yong Xia 001 (CoRR, 2022)

Intra- and Inter-Pair Consistency for Semi-Supervised Gland Segmentation. - Yutong Xie; Jianpeng Zhang; Zhibin Liao; Johan Verjans; Chunhua Shen; Yong Xia 001 (IEEE Trans. Image Process., 2022)

Learning From Ambiguous Labels for Lung Nodule Malignancy Prediction. - Zehui Liao; Yutong Xie; Shishuai Hu; Yong Xia 001 (IEEE Trans. Medical Imaging, 2022)

PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training. - Qingjie Zeng; Yutong Xie; Zilin Lu; Yong Xia 001 (CVPR, 2023)

A Certificateless Trusted Connection Protocol for Smart Factories. - Nianhao Xiao; Long Wang; Jing Fan; Chunzhu Shi; Yutong Xie (ICCNS, 2023)

How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules. - Yutong Xie; Ziqiao Xu; Jiaqi Ma 001; Qiaozhu Mei (ICLR, 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 001; Yong Xia 001 (MICCAI (3), 2023)

Transformer-Based Annotation Bias-Aware Medical Image Segmentation. - Zehui Liao; Shishuai Hu; Yutong Xie; Yong Xia 001 (MICCAI (4), 2023)

MedIM: Boost Medical Image Representation via Radiology Report-Guided Masking. - Yutong Xie; Lin Gu 003; Tatsuya Harada; Jianpeng Zhang; Yong Xia 001; Qi Wu 001 (MICCAI (1), 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 001 (MICCAI (3), 2023)

PLMVQA: Applying Pseudo Labels for Medical Visual Question Answering with Limited Data. - Zheng Yu; Yutong Xie; Yong Xia 001; Qi Wu 001 (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 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; et al. (MICCAI (5), 2023)

TPRO: Text-Prompting-Based Weakly Supervised Histopathology Tissue Segmentation. - Shaoteng Zhang; Jianpeng Zhang; Yutong Xie; Yong Xia 001 (MICCAI (1), 2023)

BHSD: A 3D Multi-class Brain Hemorrhage Segmentation Dataset. - Biao Wu; Yutong Xie; Zeyu Zhang 006; Jinchao Ge; Kaspar Yaxley; Suzan Bahadir; Qi Wu 001; Yifan Liu 001; Minh-Son To (MLMI@MICCAI (1), 2023)

Multi-modal Adapter for Medical Vision-and-Language Learning. - Zheng Yu; Yanyuan Qiao; Yutong Xie; Qi Wu 001 (MLMI@MICCAI (1), 2023)

Unsupervised Image Denoising with Score Function. - Yutong Xie; Mingze Yuan; Bin Dong; Quanzheng Li (NeurIPS, 2023)

A Prompt Log Analysis of Text-to-Image Generation Systems. - Yutong Xie; Zhaoying Pan; Jinge Ma; Luo Jie; Qiaozhu Mei (WWW, 2023)

Diffusion Model for Generative Image Denoising. - Yutong Xie; Minne Yuan; Bin Dong 001; Quanzheng Li (CoRR, 2023)

Unsupervised Image Denoising with Score Function. - Yutong Xie; Mingze Yuan; Bin Dong 001; Quanzheng Li (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 001 (CoRR, 2023)

Attention Mechanisms in Medical Image Segmentation: A Survey. - Yutong Xie; Bing Yang; Qingbiao Guan; Jianpeng Zhang; Qi Wu 001; Yong Xia 001 (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 001 (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 001; Yan Wang 033; Matthew P. Lungren; Lei Xing 001; et al. (CoRR, 2023)

Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation. - Qingjie Zeng; Yutong Xie; Zilin Lu; Mengkang Lu; Yicheng Wu 001; Yong Xia 001 (CoRR, 2023)

Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning. - Yiwen Ye; Yutong Xie; Jianpeng Zhang; Ziyang Chen; Qi Wu 001; Yong Xia 001 (CoRR, 2023)

A Turing Test: Are AI Chatbots Behaviorally Similar to Humans? - Qiaozhu Mei; Yutong Xie; Walter Yuan; Matthew O. Jackson (CoRR, 2023)

AR2PNET: 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)

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., 2023)

Multi-Granularity Aggregation Transformer for Joint Video-Audio-Text Representation Learning. - Mengge He; Wenjing Du; Zhiquan Wen; Qing Du; Yutong Xie; Qi Wu 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Learning From Partially Labeled Data for Multi-Organ and Tumor Segmentation. - Yutong Xie; Jianpeng Zhang; Yong Xia 001; Chunhua Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

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 009; Zhibin Liao; Qi Wu 001; Minh-Son To; Johan W. Verjans (CoRR, 2024)

CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation. - 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 (CoRR, 2024)

PairAug: What Can Augmented Image-Text Pairs Do for Radiology? - Yutong Xie; Qi Chen; Sinuo Wang; Minh-Son To; Iris Lee; Ee Win Khoo; Kerolos Hendy; Daniel Koh; Yong Xia 001; Qi Wu 001 (CoRR, 2024)

MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows. - Xingjian Zhang; Yutong Xie; Jin Huang; Jinge Ma; Zhaoying Pan; Qijia Liu; Ziyang Xiong; Tolga Ergen; Dongsub Shim; Honglak Lee; Qiaozhu Mei (CoRR, 2024)

Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions. - 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; et al. (CoRR, 2024)

A human-in-the-loop method for pulmonary nodule detection in CT scans. - Qingjie Zeng; Yutong Xie; Zilin Lu; Yong Xia 001 (Vis. Intell., 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 001 (Medical Image Anal., 2024)

Modeling annotator preference and stochastic annotation error for medical image segmentation. - Zehui Liao; Shishuai Hu; Yutong Xie; Yong Xia 001 (Medical Image Anal., 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, 2024)