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Yutong Xie
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2020 – today
- 2024
- [j28]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: 110388 (2024) - [j27]Ziyu Cheng, Xianmin Wang, Jing Li, Feng Liu, Yutong Xie, Haiyan Liang:
Robust semi-supervised learning with reciprocal weighted mixing distribution alignment. Eng. Appl. Artif. Intell. 137: 109185 (2024) - [j26]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: 102258 (2024) - [j25]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: 103023 (2024) - [j24]Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia:
Modeling annotator preference and stochastic annotation error for medical image segmentation. Medical Image Anal. 92: 103028 (2024) - [j23]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: 103280 (2024) - [j22]Yutong Xie, Lin Gu, Tatsuya Harada, Jianpeng Zhang, Yong Xia, Qi Wu:
Rethinking masked image modelling for medical image representation. Medical Image Anal. 98: 103304 (2024) - [j21]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): 19 (2024) - [c49]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. CVPR 2024: 11072-11081 - [c48]Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Qi Wu, Yong Xia:
Continual Self-Supervised Learning: Towards Universal Multi-Modal Medical Data Representation Learning. CVPR 2024: 11114-11124 - [c47]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. CVPR 2024: 11492-11501 - [c46]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? CVPR 2024: 11652-11661 - [c45]Himabindu Lakkaraju, Qiaozhu Mei, Chenhao Tan, Jie Tang, Yutong Xie:
The First Workshop on AI Behavioral Science. KDD 2024: 6724-6725 - [c44]Townim F. Chowdhury, Vu Minh Hieu Phan, Kewen Liao, Minh-Son To, Yutong Xie, Anton van den Hengel, Johan W. Verjans, Zhibin Liao:
AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis. MICCAI (10) 2024: 35-45 - [c43]Qingjie Zeng, Zilin Lu, Yutong Xie, Mengkang Lu, Xinke Ma, Yong Xia:
Reciprocal Collaboration for Semi-supervised Medical Image Classification. MICCAI (11) 2024: 522-532 - [c42]Zilin Lu, Yutong Xie, Qingjie Zeng, Mengkang Lu, Qi Wu, Yong Xia:
Spot the Difference: Difference Visual Question Answering with Residual Alignment. MICCAI (5) 2024: 649-658 - [c41]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. MICCAI (7) 2024: 690-700 - [c40]Yicheng Wu, Yutong Xie, Xiangde Luo, Qi Wu, Jianfei Cai:
Dataset, Challenge, and Evaluation for Tumor Segmentation Variability. ACM Multimedia 2024: 11302-11303 - [i46]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 abs/2403.07636 (2024) - [i45]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 abs/2404.02388 (2024) - [i44]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 abs/2404.04960 (2024) - [i43]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 abs/2406.06357 (2024) - [i42]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 abs/2406.09264 (2024) - [i41]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 abs/2406.18967 (2024) - [i40]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 abs/2407.19546 (2024) - [i39]Townim F. Chowdhury, Vu Minh Hieu Phan, Kewen Liao, Minh-Son To, Yutong Xie, Anton van den Hengel, Johan W. Verjans, Zhibin Liao:
AdaCBM: An Adaptive Concept Bottleneck Model for Explainable and Accurate Diagnosis. CoRR abs/2408.02001 (2024) - [i38]Yuan Zhang, Yutong Xie, Hu Wang, Jodie Avery, M. Louise Hull, Gustavo Carneiro:
A Novel Perspective for Multi-modal Multi-label Skin Lesion Classification. CoRR abs/2409.12390 (2024) - 2023
- [j20]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: 119469 (2023) - [j19]Sirui Li, Li Guo, Xianmin Wang, Songcao Hou, Zhicong Qiu, Yutong Xie, Haiyan Liang:
AR2PNET: an adversarially robust re-weighting prototypical network for few-shot learning. Int. J. Embed. Syst. 16(2): 96-104 (2023) - [j18]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): 14905-14919 (2023) - [j17]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): 2990-3002 (2023) - [c39]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: 15671-15680 - [c38]Nianhao Xiao, Long Wang, Jing Fan, Chunzhu Shi, Yutong Xie:
A Certificateless Trusted Connection Protocol for Smart Factories. ICCNS 2023: 144-150 - [c37]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 - [c36]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: 13-23 - [c35]Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia:
Transformer-Based Annotation Bias-Aware Medical Image Segmentation. MICCAI (4) 2023: 24-34 - [c34]Shaoteng Zhang, Jianpeng Zhang, Yutong Xie, Yong Xia:
TPRO: Text-Prompting-Based Weakly Supervised Histopathology Tissue Segmentation. MICCAI (1) 2023: 109-118 - [c33]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: 357-367 - [c32]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: 508-518 - [c31]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: 603-613 - [c30]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: 696-705 - [c29]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: 147-156 - [c28]Zheng Yu, Yanyuan Qiao, Yutong Xie, Qi Wu:
Multi-modal Adapter for Medical Vision-and-Language Learning. MLMI@MICCAI (1) 2023: 393-402 - [c27]Yutong Xie, Mingze Yuan, Bin Dong, Quanzheng Li:
Unsupervised Image Denoising with Score Function. NeurIPS 2023 - [c26]Yutong Xie, Zhaoying Pan, Jinge Ma, Luo Jie, Qiaozhu Mei:
A Prompt Log Analysis of Text-to-Image Generation Systems. WWW 2023: 3892-3902 - [i37]Yutong Xie, Minne Yuan, Bin Dong, Quanzheng Li:
Diffusion Model for Generative Image Denoising. CoRR abs/2302.02398 (2023) - [i36]Yutong Xie, Zhaoying Pan, Jinge Ma, Luo Jie, Qiaozhu Mei:
A Prompt Log Analysis of Text-to-Image Generation Systems. CoRR abs/2303.04587 (2023) - [i35]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 abs/2304.03493 (2023) - [i34]Yutong Xie, Mingze Yuan, Bin Dong, Quanzheng Li:
Unsupervised Image Denoising with Score Function. CoRR abs/2304.08384 (2023) - [i33]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 abs/2305.16685 (2023) - [i32]Yutong Xie, Bing Yang, Qingbiao Guan, Jianpeng Zhang, Qi Wu, Yong Xia:
Attention Mechanisms in Medical Image Segmentation: A Survey. CoRR abs/2305.17937 (2023) - [i31]Zehui Liao, Yutong Xie, Shishuai Hu, Yong Xia:
Transformer-based Annotation Bias-aware Medical Image Segmentation. CoRR abs/2306.01340 (2023) - [i30]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 abs/2308.11298 (2023) - [i29]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 abs/2309.14819 (2023) - [i28]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 abs/2310.07781 (2023) - [i27]Qingjie Zeng, Yutong Xie, Zilin Lu, Mengkang Lu, Yicheng Wu, Yong Xia:
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation. CoRR abs/2311.11686 (2023) - [i26]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 abs/2311.17597 (2023) - [i25]Qiaozhu Mei, Yutong Xie, Walter Yuan, Matthew O. Jackson:
A Turing Test: Are AI Chatbots Behaviorally Similar to Humans? CoRR abs/2312.00798 (2023) - 2022
- [j16]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: 894-905 (2022) - [j15]Zehui Liao, Yutong Xie, Shishuai Hu, Yong Xia:
Learning From Ambiguous Labels for Lung Nodule Malignancy Prediction. IEEE Trans. Medical Imaging 41(7): 1874-1884 (2022) - [c25]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: 5792-5799 - [c24]Yutong Xie, Jianpeng Zhang, Yong Xia, Qi Wu:
UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality Barrier. ECCV (21) 2022: 558-575 - [c23]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: 863-869 - [c22]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: 173-183 - [c21]Yutong Xie, Quanzheng Li:
Measurement-Conditioned Denoising Diffusion Probabilistic Model for Under-Sampled Medical Image Reconstruction. MICCAI (6) 2022: 655-664 - [i24]Yutong Xie, Dufan Wu, Bin Dong, Quanzheng Li:
Trained Model in Supervised Deep Learning is a Conditional Risk Minimizer. CoRR abs/2202.03674 (2022) - [i23]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 abs/2202.12481 (2022) - [i22]Yutong Xie, Quanzheng Li:
Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction. CoRR abs/2203.03623 (2022) - [i21]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 abs/2205.08083 (2022) - [i20]Yutong Xie, Jianpeng Zhang, Yong Xia, Anton van den Hengel, Qi Wu:
ClusTR: Exploring Efficient Self-attention via Clustering for Vision Transformers. CoRR abs/2208.13138 (2022) - [i19]Yutong Xie, Jianpeng Zhang, Yong Xia, Chunhua Shen:
Learning from partially labeled data for multi-organ and tumor segmentation. CoRR abs/2211.06894 (2022) - [i18]Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia:
Instance-specific Label Distribution Regularization for Learning with Label Noise. CoRR abs/2212.08380 (2022) - 2021
- [j14]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): 286-296 (2021) - [j13]Jianpeng Zhang, Yutong Xie, Yan Wang, Yong Xia:
Inter-Slice Context Residual Learning for 3D Medical Image Segmentation. IEEE Trans. Medical Imaging 40(2): 661-672 (2021) - [j12]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): 879-890 (2021) - [c20]Jianpeng Zhang, Yutong Xie, Yong Xia, Chunhua Shen:
DoDNet: Learning To Segment Multi-Organ and Tumors From Multiple Partially Labeled Datasets. CVPR 2021: 1195-1204 - [c19]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 - [c18]Yutong Xie, Jianpeng Zhang, Chunhua Shen, Yong Xia:
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation. MICCAI (3) 2021: 171-180 - [c17]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: 780-782 - [i17]Yutong Xie, Jianpeng Zhang, Chunhua Shen, Yong Xia:
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation. CoRR abs/2103.03024 (2021) - [i16]Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, Lei Li:
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery. CoRR abs/2103.10432 (2021) - [i15]Zehui Liao, Yutong Xie, Shishuai Hu, Yong Xia:
Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction. CoRR abs/2104.11436 (2021) - [i14]Zehui Liao, Shishuai Hu, Yutong Xie, Yong Xia:
Modeling Human Preference and Stochastic Error for Medical Image Segmentation with Multiple Annotators. CoRR abs/2111.13410 (2021) - [i13]Yutong Xie, Jianpeng Zhang, Yong Xia, Qi Wu:
Unified 2D and 3D Pre-training for Medical Image classification and Segmentation. CoRR abs/2112.09356 (2021) - [i12]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 abs/2112.12542 (2021) - 2020
- [j11]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): 106-113 (2020) - [j10]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): 2482-2493 (2020) - [c16]Jianpeng Zhang, Yutong Xie, Zhibin Liao, Johan Verjans, Yong Xia:
EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge. MyoPS@MICCAI 2020: 17-25 - [c15]Yutong Xie, Jianpeng Zhang, Zhibin Liao, Johan Verjans, Chunhua Shen, Yong Xia:
Pairwise Relation Learning for Semi-supervised Gland Segmentation. MICCAI (5) 2020: 417-427 - [c14]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: 1-6 - [i11]Shimin Gong, Yutong Xie, Jing Xu, Dusit Niyato, Ying-Chang Liang:
Deep Reinforcement Learning for Backscatter-Aided Data Offloading in Mobile Edge Computing. CoRR abs/2001.10183 (2020) - [i10]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 abs/2003.12338 (2020) - [i9]Yutong Xie, Jianpeng Zhang, Zhibin Liao, Chunhua Shen, Johan Verjans, Yong Xia:
Pairwise Relation Learning for Semi-supervised Gland Segmentation. CoRR abs/2008.02699 (2020) - [i8]Jianpeng Zhang, Yutong Xie, Yong Xia, Chunhua Shen:
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets. CoRR abs/2011.10217 (2020) - [i7]Yutong Xie, Jianpeng Zhang, Zehui Liao, Yong Xia, Chunhua Shen:
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation. CoRR abs/2011.12640 (2020) - [i6]Jianpeng Zhang, Yutong Xie, Yan Wang, Yong Xia:
Inter-slice Context Residual Learning for 3D Medical Image Segmentation. CoRR abs/2011.14155 (2020) - [i5]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 abs/2012.04428 (2020)
2010 – 2019
- 2019
- [j9]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: 166740-166748 (2019) - [j8]Jianpeng Zhang, Yutong Xie, Qi Wu, Yong Xia:
Medical image classification using synergic deep learning. Medical Image Anal. 54: 10-19 (2019) - [j7]Yutong Xie, Jianpeng Zhang, Yong Xia:
Semi-supervised adversarial model for benign-malignant lung nodule classification on chest CT. Medical Image Anal. 57: 237-248 (2019) - [j6]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): 991-1004 (2019) - [j5]Jianpeng Zhang, Yutong Xie, Yong Xia, Chunhua Shen:
Attention Residual Learning for Skin Lesion Classification. IEEE Trans. Medical Imaging 38(9): 2092-2103 (2019) - [c13]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: 1-6 - [c12]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: 65-70 - [c11]Jianpeng Zhang, Yutong Xie, Pingping Zhang, Hao Chen, Yong Xia, Chunhua Shen:
Light-Weight Hybrid Convolutional Network for Liver Tumor Segmentation. IJCAI 2019: 4271-4277 - [c10]Feng Zhang, Yutong Xie, Yong Xia, Yanning Zhang:
A Pulmonary Nodule Detection Method Based on Residual Learning and Dense Connection. DART/MIL3ID@MICCAI 2019: 72-80 - [c9]Yutong Xie, Hao Lu, Jianpeng Zhang, Chunhua Shen, Yong Xia:
Deep Segmentation-Emendation Model for Gland Instance Segmentation. MICCAI (1) 2019: 469-477 - [c8]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: 525-537 - [c7]Yutong Xie, Haiyang Wang, Yan Hao, Zihao Xu:
Visual Rhythm Prediction with Feature-Aligning Network. MVA 2019: 1-6 - [i4]Yutong Xie, Haiyang Wang, Yan Hao, Zihao Xu:
Visual Rhythm Prediction with Feature-Aligning Network. CoRR abs/1901.10163 (2019) - [i3]Yutong Xie, Jianpeng Zhang, Yong Xia, Chunhua Shen:
Semi- and Weakly Supervised Directional Bootstrapping Model for Automated Skin Lesion Segmentation. CoRR abs/1903.03313 (2019) - 2018
- [j4]Yutong Xie, Jianpeng Zhang, Yong Xia, Michael J. Fulham, Yanning Zhang:
Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT. Inf. Fusion 42: 102-110 (2018) - [j3]Dongping Xiao, Qichao Ma, Yutong Xie, Qi Zheng, Zhanlong Zhang:
A Power-Frequency Electric Field Sensor for Portable Measurement. Sensors 18(4): 1053 (2018) - [j2]Jianpeng Zhang, Yong Xia, Yutong Xie, Michael J. Fulham, David Dagan Feng:
Classification of Medical Images in the Biomedical Literature by Jointly Using Deep and Handcrafted Visual Features. IEEE J. Biomed. Health Informatics 22(5): 1521-1530 (2018) - [c6]Jianpeng Zhang, Yutong Xie, Qi Wu, Yong Xia:
Skin Lesion Classification in Dermoscopy Images Using Synergic Deep Learning. MICCAI (2) 2018: 12-20 - [c5]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: 474-479 - [c4]Yutong Xie, Hao Chen, Wanzhi Zhang, Shuaijun Li, Huihuan Qian:
Lidar-IMU Fusion for 2.5D Mapping. ROBIO 2018: 832-837 - [c3]Chaoxun Guo, Zhenglong Sun, Yongquan Chen, Yutong Xie, Shuaijun Li, Huihuan Qian:
Trajectory Tracking of Unicycle-type Robots with Constraints. ROBIO 2018: 1700-1705 - [i2]Yutong Xie, Jianpeng Zhang, Yong Xia:
A Multi-Level Deep Ensemble Model for Skin Lesion Classification in Dermoscopy Images. CoRR abs/1807.08488 (2018) - 2017
- [c2]Yutong Xie, Yong Xia, Jianpeng Zhang, David Dagan Feng, Michael J. Fulham, Weidong Cai:
Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT. MICCAI (3) 2017: 656-664 - [i1]Jianpeng Zhang, Yong Xia, Qi Wu, Yutong Xie:
Classification of Medical Images and Illustrations in the Biomedical Literature Using Synergic Deep Learning. CoRR abs/1706.09092 (2017) - 2016
- [j1]Dongping Xiao, Huaitong Liu, Qiang Zhou, Yutong Xie, Qichao Ma:
Influence and Correction from the Human Body on the Measurement of a Power-Frequency Electric Field Sensor. Sensors 16(6): 859 (2016) - [c1]Yutong Xie, Jianpeng Zhang, Sidong Liu, Weidong Cai, Yong Xia:
Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features. MCV/BAMBI@MICCAI 2016: 116-125
Coauthor Index
aka: Johan W. Verjans
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