Xiaoying Tang

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All published works

Action	Title	Year	Authors
+ PDF Chat	FedCCRL: Federated Domain Generalization with Cross-Client Representation Learning	2024	Xinpeng Wang Xiaoying Tang
+ PDF Chat	FPT+: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image Classification	2024	Yijin Huang Pujin Cheng Roger Tam Xiaoying Tang
+ PDF Chat	Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning	2024	Lin Wang Chen Yang Yongxin Guo Xiaoying Tang
+ PDF Chat	Saliency-Guided and Patch-Based Mixup for Long-Tailed Skin Cancer Image Classification	2024	Tianyunxi Wei Yijin Huang Li Lin Pujin Cheng Sirui Li Xiaoying Tang
+ PDF Chat	Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing	2024	Yongxin Guo Wang Lin Xiaoying Tang Tao Lin
+ PDF Chat	Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models	2024	Yongxin Guo Zhenglin Cheng Xiaoying Tang Lin Tao
+ PDF Chat	FPT: Fine-grained Prompt Tuning for Parameter and Memory Efficient Fine Tuning in High-resolution Medical Image Classification	2024	Yijin Huang Pujin Cheng Roger Tam Xiaoying Tang
+ PDF Chat	FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image Segmentation	2024	Li Lin Yixiang Liu Jiewei Wu Pujin Cheng Zhiyuan Cai Kenneth K. Y. Wong Xiaoying Tang
+	Dual Teacher Knowledge Distillation with Domain Alignment for Face Anti-spoofing	2024	Zhe Kong Wentian Zhang Tao Wang Kaihao Zhang Yuexiang Li Xiaoying Tang Wenhan Luo
+ PDF Chat	PRIOR: Prototype Representation Joint Learning from Medical Images and Reports	2023	Pujin Cheng Li Lin Junyan Lyu Yijin Huang Wenhan Luo Xiaoying Tang
+ PDF Chat	FedRec+: Enhancing Privacy and Addressing Heterogeneity in Federated Recommendation Systems	2023	Lin Wang Zhichao Wang Xi Leng Xiaoying Tang
+	YoloCurvSeg: You only label one noisy skeleton for vessel-style curvilinear structure segmentation	2023	Li Lin Linkai Peng Huaqing He Pujin Cheng Jiewei Wu Kenneth K. Y. Wong Xiaoying Tang
+	YoloCurvSeg: You Only Label One Noisy Skeleton for Vessel-style Curvilinear Structure Segmentation	2023	Li Lin Linkai Peng Huaqing He Pujin Cheng Jiewei Wu Kenneth K. Y. Wong Xiaoying Tang
+ PDF Chat	Identifying the Key Components in ResNet-50 for Diabetic Retinopathy Grading from Fundus Images: A Systematic Investigation	2023	Yijin Huang Li Lin Pujin Cheng Junyan Lyu Roger Tam Xiaoying Tang
+ PDF Chat	Uno-Qa: an Unsupervised Anomaly-Aware Framework with Test-Time Clustering for Octa Image Quality Assessment	2023	Juntao Chen Li Lin Pujin Cheng Yijin Huang Xiaoying Tang
+ PDF Chat	A 3D Tumor‐Mimicking In Vitro Drug Release Model of Locoregional Chemoembolization Using Deep Learning‐Based Quantitative Analyses	2023	Xiaoya Liu Xueying Wang Yucheng Luo Meijuan Wang Zijian Chen Xiaoyu Han Sijia Zhou Jiahao Wang Jian Kong Hanry Yu
+	YoloCurvSeg: You Only Label One Noisy Skeleton for Vessel-style Curvilinear Structure Segmentation	2023	Lin Li Linkai Peng Huaqing He Pujin Cheng Jiewei Wu Kenneth K. Y. Wong Xiaoying Tang
+	YoloCurvSeg: You Only Label One Noisy Skeleton for Vessel-style Curvilinear Structure Segmentation	2023	Lin Li Linkai Peng Huaqing He Pujin Cheng Jiewei Wu Kenneth K. Y. Wong Xiaoying Tang
+	YoloCurvSeg: You Only Label One Noisy Skeleton for Vessel-style Curvilinear Structure Segmentation	2023	Lin Li Linkai Peng Huaqing He Pujin Cheng Jiewei Wu Kenneth K. Y. Wong Xiaoying Tang
+	FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering	2023	Yongxin Guo Xiaoying Tang Tao Lin
+	FedEBA+: Towards Fair and Effective Federated Learning via Entropy-Based Model	2023	Lin Wang Zhichao Wang Xiaoying Tang
+	Learning Enhancement From Degradation: A Diffusion Model For Fundus Image Enhancement	2023	Pujin Cheng Lin Li Yijin Huang Huaqing He Wenhan Luo Xiaoying Tang
+	Unifying and Personalizing Weakly-supervised Federated Medical Image Segmentation via Adaptive Representation and Aggregation	2023	Lin Li Jiewei Wu Yi-Xiang Liu Kenneth K. Y. Wong Xiaoying Tang
+	MProtoNet: A Case-Based Interpretable Model for Brain Tumor Classification with 3D Multi-parametric Magnetic Resonance Imaging	2023	Yuanyuan Wei Roger Tam Xiaoying Tang
+	MyoFold: rapid Myocardial tissue and movement quantification via a highly Folded sequence	2023	Rui Guo Yingwei Fan Bowei Liu Xiaofeng Qian Jiahuan Dai Dongyue Si Yuanyuan Wang Ancong Wang Xiaoying Tang Haiyan Ding
+	PRIOR: Prototype Representation Joint Learning from Medical Images and Reports	2023	Pujin Cheng Lin Li Junyan Lyu Yijin Huang Wenhan Luo Xiaoying Tang
+	Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling	2023	Dun Zeng Zenglin Xu Yu Pan Qifan Wang Xiaoying Tang
+	Find Your Optimal Assignments On-the-fly: A Holistic Framework for Clustered Federated Learning	2023	Yongxin Guo Xiaoying Tang Lin Tao
+	FedRec+: Enhancing Privacy and Addressing Heterogeneity in Federated Recommendation Systems	2023	Lin Wang Zhichao Wang Xi Leng Xiaoying Tang
+	ASLseg: Adapting SAM in the Loop for Semi-supervised Liver Tumor Segmentation	2023	Shiyun Chen Lin Li Pujin Cheng Xiaoying Tang
+ PDF Chat	Client Selection in Nonconvex Federated Learning: Improved Convergence Analysis for Optimal Unbiased Sampling Strategy	2022	Lin Wang Yongxin Guo Tao Lin Xiaoying Tang
+ PDF Chat	FedAug: Reducing the Local Learning Bias Improves Federated Learning on Heterogeneous Data	2022	Yongxin Guo Tao Lin Xiaoying Tang
+	GAMMA Challenge:Glaucoma grAding from Multi-Modality imAges	2022	Junde Wu Huihui Fang Fei Li Huazhu Fu Fengbin Lin Jiongcheng Li Lexing Huang Qinji Yu Sifan Song Xingxing Xu
+	LesionPaste: One-Shot Anomaly Detection for Medical Images	2022	Wei‐Kai Huang Yijin Huang Xiaoying Tang
+	Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-teacher Multi-target Domain Adaptation	2022	Linkai Peng Lin Li Pujin Cheng Huaqing He Xiaoying Tang
+	Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification	2022	Zhiyuan Cai Lin Li Huaqing He Xiaoying Tang
+	DS3-Net: Difficulty-perceived Common-to-T1ce Semi-Supervised Multimodal MRI Synthesis Network	2022	Ziqi Huang Lin Li Pujin Cheng Kai Pan Xiaoying Tang
+	JOINED : Prior Guided Multi-task Learning for Joint Optic Disc/Cup Segmentation and Fovea Detection	2022	Huaqing He Lin Li Zhiyuan Cai Xiaoying Tang
+	Multi-modal Brain Tumor Segmentation via Missing Modality Synthesis and Modality-level Attention Fusion	2022	Ziqi Huang Li Lin Pujin Cheng Linkai Peng Xiaoying Tang
+	Unsupervised Domain Adaptation for Cross-Modality Retinal Vessel Segmentation via Disentangling Representation Style Transfer and Collaborative Consistency Learning	2022	Linkai Peng Lin Li Pujin Cheng Ziqi Huang Xiaoying Tang
+	Diversity Boosted Learning for Domain Generalization with Large Number of Domains	2022	Xi Leng Xiaoying Tang Yatao Bian
+	COROLLA: An Efficient Multi-Modality Fusion Framework with Supervised Contrastive Learning for Glaucoma Grading	2022	Zhiyuan Cai Lin Li Huaqing He Xiaoying Tang
+	FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction	2022	Yongxin Guo Xiaoying Tang Tao Lin
+	DELTA: Diverse Client Sampling for Fasting Federated Learning	2022	Lin Wang Yongxin Guo Tao Lin Xiaoying Tang
+	SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic Retinopathy Grading	2022	Yijin Huang Junyan Lyu Pujin Cheng Roger Tam Xiaoying Tang
+	Dynamic Light Scattering based microrheology of End-functionalised triblock copolymer solutions	2022	Ren Liu Alessio Caciagli Jiaming Yu Xiaoying Tang Rini Ghosh Erika Eiser
+	YoloCurvSeg: You Only Label One Noisy Skeleton for Vessel-style Curvilinear Structure Segmentation	2022	Lin Li Linkai Peng Huaqing He Pujin Cheng Jiewei Wu Kenneth K. Wong Xiaoying Tang
+	UNO-QA: An Unsupervised Anomaly-Aware Framework with Test-Time Clustering for OCTA Image Quality Assessment	2022	Juntao Chen Lin Li Pujin Cheng Yijin Huang Xiaoying Tang
+	Network analysis on cortical morphometry in first-episode schizophrenia	2022	Mowen Yin Wei‐Kai Huang Zhichao Liang Quanying Liu Xiaoying Tang
+	Towards Federated Learning on Time-Evolving Heterogeneous Data	2021	Yongxin Guo Tao Lin Xiaoying Tang
+	Automatic hippocampal surface generation via 3D U-net and active shape modeling with hybrid particle swarm optimization	2021	Pinyuan Zhong Yue Zhang Xiaoying Tang
+	Identifying the key components in ResNet-50 for diabetic retinopathy grading from fundus images: a systematic investigation	2021	Yijin Huang Lin Li Pujin Cheng Junyan Lyu Xiaoying Tang
+ PDF Chat	Learning Diagnosis of COVID-19 from a Single Radiological Image	2020	Pengyi Zhang Yunxin Zhong Xiaoying Tang Yunlin Deng Xiaoqiong Li
+	DRR4Covid: Learning Automated COVID-19 Infection Segmentation from Digitally Reconstructed Radiographs	2020	Pengyi Zhang Yunxin Zhong Yulin Deng Xiaoying Tang Xiaoqiong Li
+ PDF Chat	Drr4covid: Learning Automated COVID-19 Infection Segmentation From Digitally Reconstructed Radiographs	2020	Pengyi Zhang Yunxin Zhong Yulin Deng Xiaoying Tang Xiaoqiong Li
+	Research on Finite Element Optimal Analysis Method	2019	Bin Zhang Yannan Du Weiping Ouyang Xiaoying Tang Xue Xiaolong
+ PDF Chat	Prostate Segmentation using 2D Bridged U-net	2019	Wanli Chen Yue Zhang Junjun He Yu Qiao Yifan Chen Hongjian Shi EX Wu Xiaoying Tang
+	Coarse-to-fine Kidney Segmentation Framework Incorporating with Abnormal Detection and Correction	2019	Yue Zhang Jiong Wu Yu Zhou Yifan Chen Xiaoying Tang
+ PDF Chat	A post-processing method to improve the white matter hyperintensity segmentation accuracy for randomly-initialized U-net	2018	Yue Zhang Wanli Chen Yifan Chen Xiaoying Tang
+	W-net: Bridged U-net for 2D Medical Image Segmentation.	2018	Wanli Chen Yue Zhang Junjun He Yu Qiao Yifan Chen Hongjian Shi Xiaoying Tang
+	Prostate Segmentation using 2D Bridged U-net	2018	Wanli Chen Yue Zhang Junjun He Yu Qiao Yifan Chen Hongjian Shi Xiaoying Tang
+	A post-processing method to improve the white matter hyperintensity segmentation accuracy for randomly-initialized U-net	2018	Yue Zhang Wanli Chen Yifan Chen Xiaoying Tang
+	Statistical analysis of the optical variability of QSO's	1981	Xiao Xing-hua Xiaoying Tang Cheng Fu-zhen

Common Coauthors

Coauthor	Papers Together
Pujin Cheng	23
Yijin Huang	12
Huaqing He	11
Linkai Peng	9
Lin Li	9
Yongxin Guo	8
Kenneth K. Y. Wong	7
Li Lin	6
Junyan Lyu	5
Wanli Chen	5
Roger Tam	5
Tao Lin	5
Jiewei Wu	5
Yue Zhang	4
Zhiyuan Cai	4
Yifan Chen	4
Wenhan Luo	4
Zhichao Wang	3
Lin Li	3
Yu Qiao	3
Jiewei Wu	3
Lin Li	3
Hongjian Shi	3
Junjun He	3
Lin Wang	2
Wei‐Kai Huang	2
Pengyi Zhang	2
Juntao Chen	2
Xiaoqiong Li	2
Yunxin Zhong	2
Yifan Chen	2
Yue Zhang	2
Bin Zhang	1
Dongyue Si	1
Yanyu Xu	1
Qiongyu Guo	1
Xiao Xing-hua	1
Lin Wang	1
Hanry Yu	1
Jiong Wu	1
Pengyi Zhang	1
Riadh Kobbi	1
Xiulan Zhang	1
Yunlin Deng	1
Yingwei Fan	1
Sifan Song	1
Xifei Wei	1
Zenglin Xu	1
José Ignacio Orlando	1
EX Wu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	4
+ PDF Chat	nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation	2020	Fabian Isensee Paul F. Jaeger Simon Kohl Jens Petersen Klaus H. Maier‐Hein	3
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	3
+ PDF Chat	A survey on deep learning in medical image analysis	2017	Geert Litjens Thijs Kooi Babak Ehteshami Bejnordi Arnaud Arindra Adiyoso Setio Francesco Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken Clara I. Sá‎nchez	3
+	White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections	2018	Dakai Jin Ziyue Xu Adam P. Harrison Daniel J. Mollura	2
+ PDF Chat	Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets	2020	Yujin Oh Sang Joon Park Jong Chul Ye	2
+ PDF Chat	Multi-Adversarial Domain Adaptation	2018	Zhongyi Pei Zhangjie Cao Mingsheng Long Jianmin Wang	2
+	IPN-V2 and OCTA-500: Methodology and Dataset for Retinal Image Segmentation.	2020	Mingchao Li Yuhan Zhang Zexuan Ji Keren Xie Songtao Yuan Qinghuai Liu Qiang Chen	2
+ PDF Chat	Deep Subdomain Adaptation Network for Image Classification	2020	Yongchun Zhu Fuzhen Zhuang Jindong Wang Guolin Ke Jingwu Chen Jiang Bian Hui Xiong Qing He	2
+	Investigating the influence of noise and distractors on the interpretation of neural networks	2016	Pieter-Jan Kindermans Kristof T. Schütt Klaus‐Robert Müller Sven Dähne	2
+ PDF Chat	Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approach	2017	Sergi Valverde Mariano Cabezas Eloy Roura Sandra González-Villà Deborah Pareto Joan C. Vilanova Lluís Ramió‐Torrentà Àlex Rovira Arnau Oliver Xavier Lladó	2
+	Stacked U-Nets: A No-Frills Approach to Natural Image Segmentation	2018	Sohil Shah Pallabi Ghosh Larry S. Davis Tom Goldstein	2
+	Conditional Adversarial Domain Adaptation	2017	Mingsheng Long Zhangjie Cao Jianmin Wang Michael I. Jordan	2
+	Representation Learning with Contrastive Predictive Coding	2018	Aäron van den Oord Yazhe Li Oriol Vinyals	2
+ PDF Chat	CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features	2019	Sangdoo Yun Dongyoon Han Sanghyuk Chun Seong Joon Oh Youngjoon Yoo Junsuk Choe	2
+ PDF Chat	Deep CORAL: Correlation Alignment for Deep Domain Adaptation	2016	Baochen Sun Kate Saenko	2
+ PDF Chat	Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study	2020	Joseph T. Wu Kathy Leung GM Leung	2
+ PDF Chat	Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images	2018	Hongwei Li Gongfa Jiang Jianguo Zhang Ruixuan Wang Zhaolei Wang Wei‐Shi Zheng Bjoern Menze	2
+	Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation	2020	Jun Ma Yixin Wang Xingle An Cheng Ge Ziqi Yu Jianan Chen Qiongjie Zhu Guoqiang Dong Jian He Zhiqiang He	2
+	An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale	2020	Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly	2
+	COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images	2020	Siham Tabik Anabel Gómez-Ríos José Luis Martín Rodríguez Iván Sevillano-García Manuel Rey-Area David Charte Emilio Guirado Juan Luis Suárez Julián Luengo Ma Ángeles Valero-González	2
+	scikit-image: image processing in Python	2014	Stéfan van der Walt Johannes L. Schönberger Juan Nunez-Iglesias François Boulogne Joshua Warner Neil Yager Emmanuelle Gouillart Tony Yu	2
+ PDF Chat	Feature Pyramid Networks for Object Detection	2017	Tsung-Yi Lin Piotr Dollár Ross Girshick Kaiming He Bharath Hariharan Serge Belongie	2
+	Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps	2013	Karen Simonyan Andrea Vedaldi Andrew Zisserman	2
+ PDF Chat	DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images	2020	Yi Zhou Boyang Wang Xiaodong He Shanshan Cui Ling Shao	2
+	Learning Important Features Through Propagating Activation Differences	2017	Avanti Shrikumar Peyton Greenside Anshul Kundaje	2
+	Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)	2015	Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter	2
+ PDF Chat	Domain-Adversarial Training of Neural Networks	2017	Yaroslav Ganin Evgeniya Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette Mario Marchand Victor Lempitsky	2
+	Axiomatic Attribution for Deep Networks	2017	Mukund Sundararajan Ankur Taly Qiqi Yan	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+ PDF Chat	Can AI Help in Screening Viral and COVID-19 Pneumonia?	2020	Muhammad E. H. Chowdhury Tawsifur Rahman Amith Khandakar Rashid Mazhar Muhammad Abdul Kadir Zaid Bin Mahbub Khandaker Reajul Islam Muhammad Salman Khan Atif Iqbal Nasser Al Emadi	2
+	A kernel two-sample test	2012	Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alexander J. Smola	2
+	CyCADA: Cycle-Consistent Adversarial Domain Adaptation	2017	Judy Hoffman Eric Tzeng Taesung Park Jun-Yan Zhu Phillip Isola Kate Saenko Alexei A. Efros Trevor Darrell	2
+	Unsupervised Domain Adaptation by Backpropagation	2014	Yaroslav Ganin Victor Lempitsky	2
+	A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes	2019	Yang Zhang Philip David Hassan Foroosh Boqing Gong	2
+ PDF Chat	X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks	2019	Xingde Ying Heng Guo Kai Ma Jian Wu Zhengxin Weng Yefeng Zheng	2
+ PDF Chat	Multi-representation adaptation network for cross-domain image classification	2019	Yongchun Zhu Fuzhen Zhuang Jindong Wang Jingwu Chen Zhiping Shi Wenjuan Wu Qing He	2
+	Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources	2019	Yongchun Zhu Fuzhen Zhuang Deqing Wang	2
+ PDF Chat	Adversarial Discriminative Domain Adaptation	2017	Eric Tzeng Judy Hoffman Kate Saenko Trevor Darrell	1
+ PDF Chat	Least Squares Generative Adversarial Networks	2017	Xudong Mao Qing Li Haoran Xie Raymond Y.K. Lau Zhen Wang Stephen Paul Smolley	1
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	1
+	Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning	2017	Werner Zellinger Thomas Grubinger Edwin Lughofer Thomas Natschläger Susanne Saminger‐Platz	1
+ PDF Chat	Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification	2006	João V. B. Soares J. J. G. Leandro Roberto M. César Herbert F. Jelinek Michael J. Cree	1
+ PDF Chat	Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation	2019	Christy Y. Li Xiaodan Liang Zhiting Hu Eric P. Xing	1
+	Domain Adaptive Transfer Learning with Specialist Models	2018	Jiquan Ngiam Daiyi Peng Vijay Vasudevan Simon Kornblith Quoc V. Le Ruoming Pang	1
+	Learning Transferable Features with Deep Adaptation Networks	2015	Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan	1
+ PDF Chat	Optical Monitoring of Radio Sources -- II: The N-type and Seyfert Galaxies	1971	R. D. Cannon M. V. Penston R. A. Brett	1
+ PDF Chat	ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design	2018	Ningning Ma Xiangyu Zhang Hai-Tao Zheng Jian Sun	1
+	Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation	2018	Christy Y. Li Xiaodan Liang Zhiting Hu Eric P. Xing	1