Xiang Wan

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All published works

Action	Title	Year	Authors
+ PDF Chat	Privacy-Preserving Federated Foundation Model for Generalist Ultrasound Artificial Intelligence	2024	Yuncheng Jiang Chun-Mei Feng Jinke Ren Jun Wei Zixun Zhang Yiwen Hu Yunbi Liu Rui Sun Xuemei Tang Juan Du
+ PDF Chat	Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs	2024	Zhuo Li Yuhao Du Jinpeng Hu Xiang Wan Anningzhe Gao
+ PDF Chat	An Empirical Study on Information Extraction using Large Language Models	2024	Ridong Han Chaohao Yang Tao Peng Prayag Tiwari Xiang Wan Lu Liu Benyou Wang
+ PDF Chat	Towards a Benchmark for Colorectal Cancer Segmentation in Endorectal Ultrasound Videos: Dataset and Model Development	2024	Yuncheng Jiang Yiwen Hu Zixun Zhang Jun Wei Chun-Mei Feng Xuemei Tang Xiang Wan Yong Liu Shuguang Cui Zhen Li
+ PDF Chat	Self-Supervised Alignment Learning for Medical Image Segmentation	2024	Haofeng Li Yiming Ouyang Xiang Wan
+	Experimental study on multi-dimensional Child-Langmuir law with vacuum arc plasma extraction	2024	Xiang Wan Ping Gan Yi Wang Mu Li
+ PDF Chat	Self-Supervised Alignment Learning For Medical Image Segmentation	2024	Haofeng Li Yiming Ouyang Xiang Wan
+ PDF Chat	UWAFA-GAN: Ultra-Wide-Angle Fluorescein Angiography Transformation via Multi-scale Generation and Registration Enhancement	2024	Ruiquan Ge Zhaojie Fang Pengxue Wei Zhanghao Chen Hongyang Jiang Ahmed Elazab Wangting Li Xiang Wan Shaochong Zhang Changmiao Wang
+ PDF Chat	UWAFA-GAN: Ultra-Wide-Angle Fluorescein Angiography Transformation via Multi-Scale Generation and Registration Enhancement	2024	Ruiquan Ge Zhaojie Fang Pengxue Wei Zhanghao Chen Hongyang Jiang Ahmed Elazab Wangting Li Xiang Wan Shaochong Zhang Changmiao Wang
+ PDF Chat	MileBench: Benchmarking MLLMs in Long Context	2024	Dingjie Song Shunian Chen G. Chen F. Richard Yu Xiang Wan Benyou Wang
+ PDF Chat	Structure Embedded Nucleus Classification for Histopathology Images	2024	Wei Lou Xiang Wan Guanbin Li Xiaoying Lou Chenghang Li Feng Gao Haofeng Li
+ PDF Chat	UniCell: Universal Cell Nucleus Classification via Prompt Learning	2024	Junjia Huang Haofeng Li Xiang Wan Guanbin Li
+ PDF Chat	Cell Graph Transformer for Nuclei Classification	2024	Wei Lou Guanbin Li Xiang Wan Haofeng Li
+ PDF Chat	Large Multimodal Agents: A Survey	2024	Junlin Xie Zhihong Chen Ruifei Zhang Xiang Wan Guanbin Li
+ PDF Chat	UniCell: Universal Cell Nucleus Classification via Prompt Learning	2024	Junjia Huang Haofeng Li Xiang Wan Guanbin Li
+ PDF Chat	nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space Model	2024	Haifan Gong Luoyao Kang Yi‐Tao Wang Xiang Wan Haofeng Li
+	ECC-PolypDet: Enhanced CenterNet with Contrastive Learning for Automatic Polyp Detection	2024	Yuncheng Jiang Zixun Zhang Yiwen Hu Guanbin Li Xiang Wan Song Wu Shuguang Cui Silin Huang Zhen Li
+ PDF Chat	Document-level Relation Extraction with Relation Correlations	2023	Ridong Han Tao Peng Benyou Wang Lu Liu Prayag Tiwari Xiang Wan
+ PDF Chat	ECC-PolypDet: Enhanced CenterNet With Contrastive Learning for Automatic Polyp Detection	2023	Yuncheng Jiang Zixun Zhang Yiwen Hu Guanbin Li Xiang Wan Song Wu Shuguang Cui Silin Huang Zhen Li
+ PDF Chat	Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts	2023	Zhihong Chen Shizhe Diao Benyou Wang Guanbin Li Xiang Wan
+ PDF Chat	Affine-Consistent Transformer for Multi-Class Cell Nuclei Detection	2023	Junjia Huang Haofeng Li Xiang Wan Guanbin Li
+ PDF Chat	Advancing Visual Grounding with Scene Knowledge: Benchmark and Method	2023	Zhihong Chen Ruifei Zhang Yibing Song Xiang Wan Guanbin Li
+ PDF Chat	Detecting the skewness of data from the five-number summary and its application in meta-analysis	2023	Jiandong Shi Dehui Luo Xiang Wan Yue Liu Jiming Liu Zhaoxiang Bian Tiejun Tong
+	Advancing Visual Grounding with Scene Knowledge: Benchmark and Method	2023	Zhihong Chen Ruifei Zhang Yibing Song Xiang Wan Guanbin Li
+	ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models	2023	Yuhao Du Yuncheng Jiang Shuangyi Tan Xusheng Wu Qi Dou Zhen Li Guanbin Li Xiang Wan
+	Affine-Consistent Transformer for Multi-Class Cell Nuclei Detection	2023	Junjia Huang Haofeng Li Xiang Wan Guanbin Li
+	Visual-Attribute Prompt Learning for Progressive Mild Cognitive Impairment Prediction	2023	Luoyao Kang Haifan Gong Xiang Wan Haofeng Li
+	Prompt-based Grouping Transformer for Nucleus Detection and Classification	2023	Junjia Huang Haofeng Li Weijun Sun Xiang Wan Guanbin Li
+	ASC: Appearance and Structure Consistency for Unsupervised Domain Adaptation in Fetal Brain MRI Segmentation	2023	Zihang Xu Haifan Gong Xiang Wan Haofeng Li
+	Multi-stream Cell Segmentation with Low-level Cues for Multi-modality Images	2023	Wei Lou Xinyi Yu Chenyu Liu Xiang Wan Guanbin Li Siqi Liu Haofeng Li
+	Diffusion-based Data Augmentation for Nuclei Image Segmentation	2023	Xinyi Yu Guanbin Li Wei Lou Siqi Liu Xiang Wan Yan Chen Haofeng Li
+ PDF Chat	WebUAV-3 M: A Benchmark for Unveiling the Power of Million-Scale Deep UAV Tracking	2022	Chunhui Zhang Guanjie Huang Li Liu Shan Huang Yinan Yang Xiang Wan Shiming Ge Dacheng Tao
+ PDF Chat	Which Pixel to Annotate: A Label-Efficient Nuclei Segmentation Framework	2022	Wei Lou Haofeng Li Guanbin Li Xiaoguang Han Xiang Wan
+ PDF Chat	Align, Reason and Learn: Enhancing Medical Vision-and-Language Pre-training with Knowledge	2022	Zhihong Chen Guanbin Li Xiang Wan
+ PDF Chat	View-Disentangled Transformer for Brain Lesion Detection	2022	Haofeng Li Junjia Huang Guanbin Li Zhou Liu Yihong Zhong Yingying Chen Yunfei Wang Xiang Wan
+ PDF Chat	Hero-Gang Neural Model For Named Entity Recognition	2022	Jinpeng Hu Yaling Shen Yang Liu Xiang Wan Tsung‐Hui Chang
+ PDF Chat	Multi-modal Masked Autoencoders for Medical Vision-and-Language Pre-training	2022	Zhihong Chen Yuhao Du Jinpeng Hu Yang Liu Guanbin Li Xiang Wan Tsung‐Hui Chang
+ PDF Chat	Lesion-Aware Dynamic Kernel for Polyp Segmentation	2022	Ruifei Zhang Peiwen Lai Xiang Wan De-Jun Fan Feng Gao Xiaojian Wu Guanbin Li
+ PDF Chat	Attentive Symmetric Autoencoder for Brain MRI Segmentation	2022	Junjia Huang Haofeng Li Guanbin Li Xiang Wan
+	Toward expanding the scope of radiology report summarization to multiple anatomies and modalities	2022	Zhihong Chen Maya Varma Xiang Wan Curtis P. Langlotz Jean-Benoit Delbrouck
+ PDF Chat	Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration	2022	Haotian Bai Ruimao Zhang Jiong Wang Xiang Wan
+ PDF Chat	Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning	2021	Guangyi Liu Yinghong Liao Fuyu Wang Bin Zhang Lu Zhang Xiaodan Liang Xiang Wan Shaolin Li Zhen Li Shuixing Zhang
+	Hepatocellular Carcinoma Segmentation fromDigital Subtraction Angiography Videos usingLearnable Temporal Difference	2021	Wenting Jiang Yicheng Jiang Lu Zhang Changmiao Wang Xiaoguang Han Shuixing Zhang Xiang Wan Shuguang Cui
+ PDF Chat	Multi-Modal Active Learning For Automatic Liver Fibrosis Diagnosis Based On Ultrasound Shear Wave Elastography	2021	Lufei Gao Ruisong Zhou Changfeng Dong Cheng Feng Zhen Li Xiang Wan Li Liu
+	Structured Sparse Non-negative Matrix Factorization with L20-Norm for scRNA-seq Data Analysis	2021	Wenwen Min Taosheng Xu Xiang Wan Tsung‐Hui Chang
+	Cross-modal Memory Networks for Radiology Report Generation	2021	Zhihong Chen Yaling Shen Yan Song Xiang Wan
+	Word Graph Guided Summarization for Radiology Findings	2021	Jinpeng Hu Jianling Li Zhihong Chen Yaling Shen Yan Song Xiang Wan Tsung‐Hui Chang
+	Hepatocellular Carcinoma Segmentation from Digital Subtraction Angiography Videos using Learnable Temporal Difference	2021	Wenting Jiang Yicheng Jiang Lu Zhang Changmiao Wang Xiaoguang Han Shuixing Zhang Xiang Wan Shuguang Cui
+ PDF Chat	USCL: Pretraining Deep Ultrasound Image Diagnosis Model Through Video Contrastive Representation Learning	2021	Yixiong Chen Chunhui Zhang Li Liu Cheng Feng Changfeng Dong Yongfang Luo Xiang Wan
+ PDF Chat	Hepatocellular Carcinoma Segmentation from Digital Subtraction Angiography Videos Using Learnable Temporal Difference	2021	Wenting Jiang Yicheng Jiang Lu Zhang Changmiao Wang Xiaoguang Han Shuixing Zhang Xiang Wan Shuguang Cui
+	Effective Sample Pair Generation for Ultrasound Video Contrastive Representation Learning.	2020	Yixiong Chen Chunhui Zhang Li Liu Cheng Feng Changfeng Dong Yongfang Luo Xiang Wan
+	Semi-Supervised Active Learning for COVID-19 Lung Ultrasound Multi-symptom Classification	2020	Lei Liu Wentao Lei Xiang Wan Li Liu Yongfang Luo Cheng Feng
+	Detecting the skewness of data from the sample size and the five-number summary	2020	Jiandong Shi Dehui Luo Xiang Wan Yue Liu Jiming Liu Zhaoxiang Bian Tiejun Tong
+	Semi-Supervised Active Learning for COVID-19 Lung Ultrasound Multi-symptom Classification	2020	Lei Liu Wentao Lei Yongfang Luo Cheng Feng Xiang Wan Li Liu
+	Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information	2020	Yuyang Nie Yuanhe Tian Yan Song Xiang Ao Xiang Wan
+	Multi-Modal Active Learning for Automatic Liver Fibrosis Diagnosis based on Ultrasound Shear Wave Elastography	2020	Lufei Gao Ruisong Zhou Changfeng Dong Cheng Feng Zhen Li Xiang Wan Li Liu
+	Named Entity Recognition for Social Media Texts with Semantic Augmentation	2020	Yuyang Nie Yuanhe Tian Xiang Wan Yan Song Bo Dai
+	Generating Radiology Reports via Memory-driven Transformer	2020	Zhihong Chen Yan Song Tsung‐Hui Chang Xiang Wan
+	Named Entity Recognition for Social Media Texts with Semantic Augmentation	2020	Yuyang Nie Yuanhe Tian Xiang Wan Yan Song Bo Dai
+	Generating Radiology Reports via Memory-driven Transformer	2020	Zhihong Chen Yan Song Tsung‐Hui Chang Xiang Wan
+	Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information	2020	Yuyang Nie Yuanhe Tian Yan Song Xiang Ao Xiang Wan
+	USCL: Pretraining Deep Ultrasound Image Diagnosis Model through Video Contrastive Representation Learning	2020	Yixiong Chen Chunhui Zhang Li Liu Cheng Feng Changfeng Dong Yongfang Luo Xiang Wan
+	Detecting the skewness of data from the five-number summary and its application in meta-analysis	2020	Jiandong Shi Dehui Luo Xiang Wan Yue Liu Jiming Liu Zhaoxiang Bian Tiejun Tong
+	Regression adjustment for treatment effect with multicollinearity in high dimensions	2018	Lili Yue Gaorong Li Heng Lian Xiang Wan
+ PDF Chat	Joint analysis of individual-level and summary-level GWAS data by leveraging pleiotropy	2018	Shuyang Dai Xiang Wan Hao Peng Yao Wang Yue Liu Jin Liu Zongben Xu Can Yang
+ PDF Chat	LSMM: a statistical approach to integrating functional annotations with genome-wide association studies	2018	Jingsi Ming Shuyang Dai Mingxuan Cai Xiang Wan Jin Liu Can Yang
+	Testing normality using the summary statistics with application to meta-analysis	2018	Dehui Luo Xiang Wan Jiming Liu Tiejun Tong
+	Joint Analysis of Individual-level and Summary-level GWAS Data by Leveraging Pleiotropy	2018	Shuyang Dai Xiang Wan Hao Peng Yao Wang Yue Liu Jin Liu Zongben Xu Can Yang
+ PDF Chat	Erratum to: Stochastic modelling of infectious diseases for heterogeneous populations	2017	Ruixing Ming Jiming Liu William K. Cheung Xiang Wan
+	LSMM: A statistical approach to integrating functional annotations with genome-wide association studies	2017	Jingsi Ming Shuyang Dai Mingxuan Cai Xiang Wan Jin Liu Can Yang
+ PDF Chat	Stochastic modelling of infectious diseases for heterogeneous populations	2016	Ruixing Ming Jiming Liu William K. Cheung Xiang Wan
+ PDF Chat	Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range	2016	Dehui Luo Xiang Wan Jiming Liu Tiejun Tong
+ PDF Chat	Exploring the Genetic Patterns of Complex Diseases via the Integrative Genome-Wide Approach	2015	Ben Teng Can Yang Jiming Liu Zhipeng Cai Xiang Wan
+	Exploring the genetic patterns of complex diseases via the integrative genome-wide approach	2015	Ben Teng Can Yang Jiming Liu Zhipeng Cai Xiang Wan
+	NBLDA: Negative Binomial Linear Discriminant Analysis for RNA-Seq Data	2015	Kai Dong Hongyu Zhao Xiang Wan Tiejun Tong
+	Optimally estimating the sample mean from the sample size, median, mid-range and/or mid-quartile range	2015	Dehui Luo Xiang Wan Jiming Liu Tiejun Tong
+ PDF Chat	Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range	2014	Xiang Wan Wenqian Wang Jiming Liu Tiejun Tong
+ PDF Chat	Inferring Epidemic Network Topology from Surveillance Data	2014	Xiang Wan Jiming Liu William K. Cheung Tiejun Tong
+	Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range	2014	Xiang Wan Wenqian Wang Jiming Liu Tiejun Tong
+ PDF Chat	Comments on ‘An empirical comparison of several recent epistatic interaction detection methods’	2011	Xiang Wan Can Yang Weichuan Yu
+ PDF Chat	Observation ofχc1Decays into Vector Meson Pairsϕϕ,ωω, andωϕ	2011	F. De Mori M. N. Achasov L. An Q. An Zhenghua An J. Z. Bai R. Baldini Y. Ban J. A. Becker N. Berger
+ PDF Chat	BOOST: A Fast Approach to Detecting Gene-Gene Interactions in Genome-wide Case-Control Studies	2010	Xiang Wan Can Yang Qiang Yang Hong Xue Xiaodan Fan Nelson L.S. Tang Weichuan Yu
+ PDF Chat	Identifying main effects and epistatic interactions from large-scale SNP data via adaptive group Lasso	2010	Can Yang Xiang Wan Qiang Yang Hong Xue Weichuan Yu
+	BOOST: A fast approach to detecting gene-gene interactions in genome-wide case-control studies	2010	Xiang Wan Can Yang Qiang Yang Hong Xue Xiaodan Fan Nelson L.S. Tang Weichuan Yu
+	R value measurements for <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.gif" overflow="scroll"><mml:msup><mml:mi>e</mml:mi><mml:mo>+</mml:mo></mml:msup><mml:msup><mml:mi>e</mml:mi><mml:mo>−</mml:mo></mml:msup></mml:math> annihilation at 2.60, 3.07 and 3.65 GeV	2009	F. De Mori J. Z. Bai Y. Bai Y. Ban Xin Cai H.F. Chen H.S. Chen H.X. Chen J.C. Chen Jin Chen

Common Coauthors

Coauthor	Papers Together
Guanbin Li	20
Haofeng Li	17
Jiming Liu	13
Tiejun Tong	10
Zhihong Chen	9
Can Yang	8
Shuguang Cui	8
Junjia Huang	7
Yan Song	7
Tsung‐Hui Chang	6
Dehui Luo	6
Changmiao Wang	5
Yongfang Luo	5
Cheng Feng	5
Changfeng Dong	5
Wei Lou	5
Benyou Wang	4
Xiaoguang Han	4
Yiwen Hu	4
Zixun Zhang	4
Zhen Li	4
Weichuan Yu	4
Yuanhe Tian	4
Yuyang Nie	4
Shuixing Zhang	4
Shuyang Dai	4
Yaling Shen	3
Qiang Yang	3
Yuncheng Jiang	3
Wenting Jiang	3
Hong Xue	3
Yixiong Chen	3
Jiandong Shi	3
Li Liu	3
Yue Liu	3
Yicheng Jiang	3
Haifan Gong	3
Jin Liu	3
Zhaoxiang Bian	3
William K. Cheung	3
Pengxue Wei	2
Jinpeng Hu	2
Xiaodan Fan	2
Tao Peng	2
Song Wu	2
Chun-Mei Feng	2
Y. Ban	2
Hao Peng	2
Ruiquan Ge	2
C. P. Shen	2

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	16
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	8
+	Deep Contextualized Word Representations	2018	Matthew E. Peters Mark E Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee Luke Zettlemoyer	7
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	7
+	Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks	2020	Yuanhe Tian Yan Song Fei Xia	7
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	7
+ PDF Chat	Estimating the mean and variance from the median, range, and the size of a sample	2005	Stela Pudar Hozo Benjamin Djulbegović Iztok Hozo	7
+	Improving Constituency Parsing with Span Attention	2020	Yuanhe Tian Yan Song Fei Xia Tong Zhang	6
+ PDF Chat	Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range	2014	Xiang Wan Wenqian Wang Jiming Liu Tiejun Tong	5
+	CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition	2019	Yuying Zhu Guoxin Wang Börje F. Karlsson	5
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	5
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	5
+ PDF Chat	Neural Architectures for Named Entity Recognition	2016	Guillaume Lample Miguel Ballesteros Sandeep Subramanian Kazuya Kawakami Chris Dyer	5
+ PDF Chat	Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images	2019	Simon Graham Quoc Dang Vu Shan E Ahmed Raza Ayesha Azam Yee Wah Tsang Jin Tae Kwak Nasir Rajpoot	5
+	TENER: Adapting Transformer Encoder for Named Entity Recognition	2019	Hang Yan Bocao Deng Xiaonan Li Xipeng Qiu	5
+ PDF Chat	Swin Transformer: Hierarchical Vision Transformer using Shifted Windows	2021	Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin Baining Guo	5
+	Dependency-Guided LSTM-CRF for Named Entity Recognition	2019	Zhanming Jie Wei Lu	4
+ PDF Chat	Show and tell: A neural image caption generator	2015	Oriol Vinyals Alexander Toshev Samy Bengio Dumitru Erhan	4
+	Knowledge-Enriched Two-Layered Attention Network for Sentiment Analysis	2018	Kumar Abhishek Daisuke Kawahara Sadao Kurohashi	4
+	Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation	2018	Yuan Li Xiaodan Liang Zhiting Hu Eric P. Xing	4
+ PDF Chat	Chinese NER Using Lattice LSTM	2018	Yue Zhang Jie Yang	4
+ PDF Chat	Self-Critical Sequence Training for Image Captioning	2017	Steven J. Rennie Etienne Marcheret Youssef Mroueh Jerret Ross Vaibhava Goel	4
+ PDF Chat	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2016	Shaoqing Ren Kaiming He Ross Girshick Jian Sun	4
+	Joint Learning of Named Entity Recognition and Entity Linking	2019	Pedro Henrique Martins Zita Marinho André F. T. Martins	4
+ PDF Chat	Estimating Mean and Standard Deviation from the Sample Size, Three Quartiles, Minimum, and Maximum	2014	Martin Bland	4
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	4
+ PDF Chat	HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering	2019	Liang Pang Yanyan Lan Jiafeng Guo Jun Xu Lixin Su Xueqi Cheng	4
+ PDF Chat	Exploiting Multiple Embeddings for Chinese Named Entity Recognition	2019	Canwen Xu Feiyang Wang Jialong Han Chenliang Li	4
+ PDF Chat	SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation	2021	Hong-Yu Zhou Chengdi Wang Haofeng Li Gang Wang Shu Zhang Weimin Li Yizhou Yu	4
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	4
+	ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations	2020	Shizhe Diao Jiaxin Bai Yan Song Tong Zhang Yonggang Wang	4
+ PDF Chat	Feature Pyramid Networks for Object Detection	2017	Tsung-Yi Lin Piotr Dollár Ross Girshick Kaiming He Bharath Hariharan Serge Belongie	4
+ PDF Chat	End-to-End Object Detection with Transformers	2020	Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov Sergey Zagoruyko	4
+ PDF Chat	Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering	2018	Peter Anderson Xiaodong He Chris Buehler Damien Teney Mark Johnson Stephen Jay Gould Lei Zhang	4
+ PDF Chat	On the Automatic Generation of Medical Imaging Reports	2018	Baoyu Jing Pengtao Xie Eric P. Xing	4
+ PDF Chat	Multi-Class Cell Detection Using Spatial Context Representation	2021	Shahira Abousamra David Belinsky John Van Arnam Felicia D. Allard Eric U. Yee Rajarsi Gupta Tahsin Kurç Dimitris Samaras Joel Saltz Chao Chen	4
+ PDF Chat	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization	2017	Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra	4
+	LXMERT: Learning Cross-Modality Encoder Representations from Transformers	2019	Hao Tan Mohit Bansal	3
+	RoBERTa: A Robustly Optimized BERT Pretraining Approach	2019	Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy Mike Lewis Luke Zettlemoyer Veselin Stoyanov	3
+	Glyce: Glyph-vectors for Chinese Character Representations	2019	Yuxian Meng Wei Wu Fei Wang Xiaoya Li Ping Nie Fan Yin Muyu Li Qinghong Han Xiaofei Sun Jiwei Li	3
+ PDF Chat	Named Entity Recognition with Bidirectional LSTM-CNNs	2016	Jason Chiu Eric Nichols	3
+	Statistical Estimates and Transformed Beta-Variables.	1960	Paul D. Minton Gunnar Blom	3
+	Bidirectional LSTM-CRF Models for Sequence Tagging	2015	Zhiheng Huang Wei Xu Kai Yu	3
+ PDF Chat	CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison	2019	Jeremy Irvin Pranav Rajpurkar Michael Ko Yifan Yu Silviana Ciurea-Ilcus Chris Chute Henrik Marklund Behzad Haghgoo Robyn L. Ball Katie Shpanskaya	3
+	Relational recurrent neural networks	2018	Adam Santoro Ryan Faulkner David Raposo Jack W. Rae Mike Chrzanowski Théophane Weber Daan Wierstra Oriol Vinyals Razvan Pascanu Timothy Lillicrap	3
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	3
+	Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images	2019	Faisal Mahmood Daniel Borders Richard J. Chen Gregory N. McKay Kevan J. Salimian Alexander S. Baras Nicholas J. Durr	3
+	Relations, Bounds and Approximations for Order Statistics	1989	Barry C. Arnold N. Balakrishnan	3
+ PDF Chat	SegFlow: Joint Learning for Video Object Segmentation and Optical Flow	2017	Jingchun Cheng Yi–Hsuan Tsai Shengjin Wang Ming–Hsuan Yang	3
+	MIMIC-CXR: A large publicly available database of labeled chest radiographs	2019	Alistair E. W. Johnson Tom Pollard Seth J. Berkowitz Nathaniel R. Greenbaum Matthew P. Lungren Chih-Ying Deng Roger G. Mark Steven Horng	3