Youbao Tang   唐有宝 Senior Software Engineer at Google, US. Email: tybxiaobao@gmail.com [CV]

News

Biography

• I'm Youbao TANG from China. Now I am a Senior Software Engineer at Google, US.

• I was a Staff Research Scientist at PAII Inc. and a postdoc researcher in National Institutes of Health (NIH).

• I received the Bachelor, Master and Doctor degree in School of Computer Science and Technology from Harbin Institute of Technology (HIT).

• My research interests include computer vision, medical image processing, deep learning.

Selected Publications (full list)

Journals

• Differential Diagnosis of Bone Marrow Failure Syndromes Guided by Machine Learning
  Fernanda Gutierrez-Rodrigues*, Eric Munger*, Xiaoyang Ma, Emma M. Groarke, Youbao Tang, ...(32 more authors)... ,Neal S. Young
  Blood, Journal of the American Society of Hematology, 2023.
  
• A Flexible Three-Dimensional Hetero-phase Computed Tomography Hepatocellular Carcinoma Detection Algorithm for Generalizable and Practical Screening
  Chi-Tung Cheng*, Jinzheng Cai*, Wei Teng, Youjing Zheng, YuTing Huang, Yu-Chao Wang, Chien-Wei Peng, Youbao Tang, Wei-Chen Lee, Ta-Sen Yeh, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P Harrison
  Hepatology Communications, 2022.
  
• SAM: Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images
  Ke Yan, Jinzheng Cai, Dakai Jin, Shun Miao, Dazhou Guo, Adam P. Harrison, Youbao Tang, Jing Xiao, Jingjing Lu, Le Lu
  IEEE Transactions on Medical Imaging (TMI), 2022.
  
• Global-Local Attention Network with Multi-task Uncertainty Loss for Abnormal Lymph Node Detection in MR Images
  Shuai Wang, Yingying Zhu, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Youbao Tang, Yifan Peng, Zhiyong Lu, Ronald M. Summers
  Medical Image Analysis (MedIA), 2022.
  
• A Disentangled Generative Model for Disease Decomposition in Chest X-rays via Normal Image Synthesis
  Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers
  Medical Image Analysis (MedIA), 2021.
  
• Automated Abnormality Classification of Chest Radiographs Using Deep Convolutional Neural Networks
  Yuxing Tang, Youbao Tang, Yifan Peng, Ke Yan, Mohammadhadi Bagheri, Bernadette A. Redd, Catherine J. Brandon, Zhiyong Lu, Mei Han, Jing Xiao, Ronald M. Summers
  npj Digital Medicine, 2020. [Code and Data]
  
• Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT
  Ke Yan, Jinzheng Cai, Youjing Zheng, Adam P. Harrison, Dakai Jin, Youbao Tang, Yuxing Tang, Lingyun Huang, Jing Xiao, Le Lu
  IEEE Transactions on Medical Imaging (TMI), 2020.
  
• Salient Object Detection Using Cascaded Convolutional Neural Networks and Adversarial Learning
  Youbao Tang, Xiangqian Wu
  IEEE Transactions on Multimedia (TMM), 2019.
  
• Scene Text Detection using Superpixel based Stroke Feature Transform and Deep Learning based Region Classification
  Youbao Tang, Xiangqian Wu
  IEEE Transactions on Multimedia (TMM), 2018.
  
• Discrete Probability Distribution Prediction of Image Emotions With Shared Sparse Learning
  Sicheng Zhao, Guiguang Ding, Yue Gao, Xin Zhao, Youbao Tang, Jungong Han, Hongxun Yao, Qingming Huang
  IEEE Transactions on Affective Computing (TAFFC), 2018.
  
• Scene Text Detection and Segmentation via Cascaded Convolution Neural Networks
  Youbao Tang, Xiangqian Wu
  IEEE Transactions on Image Processing (TIP), 2017.
  
• Offline Text-Independent Writer Identification Based on Scale Invariant Feature Transform
  Xiangqian Wu (Supervisor), Youbao Tang, Wei Bu
  IEEE Transactions on Information Forensics and Security (TIFS), 2014.
  

Conferences

• Bidirectional Autoregessive Diffusion Model for Dance Generation
  Canyu Zhang, Youbao Tang, Ning Zhang, Ruei-Sung Lin, Mei Han, Jing Xiao, Song Wang
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [Code]
  
• Coarse to Fine Human Mesh Recovery with Transformers
  Vatsal Agarwal, Mara Levy, Max Ehrlich, Youbao Tang, Ning Zhang, Abhinav Shrivastava
  T-CAP Workshop at ECCV , 2024.
  
• Prior-enhanced Temporal Action Localization using Subject-aware Spatial Attention
  Yifan Liu, Youbao Tang, Ning Zhang, Ruei-Sung Lin, Haoqian Wang
  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023. [Oral]
  
• Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers
  Youbao Tang, Ning Zhang, Yirui Wang, Shenghua He, Mei Han, Jing Xiao, Ruei-Sung Lin
  International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI), 2022.
  
• Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss
  Youbao Tang, Jinzheng Cai, Ke Yan, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu
  International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI), 2021. [Early accept]
  
• Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection
  Youbao Tang, Ke Yan, Jinzheng Cai, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu
  International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI), 2021.
  
• Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining
  Jieneng Chen, Ke Yan, Yu-Dong Zhang, Youbao Tang, Xun Xu, Shuwen Sun, Qiuping Liu, Lingyun Huang, Jing Xiao, Alan L Yuille, Ya Zhang, Le Lu
  International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI), 2021. [Student Travel Award]
  
• Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies
  Jinzheng Cai, Youbao Tang, Ke Yan, Adam P. Harrison, Jing Xiao, Gigin Lin, Le Lu
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [Data and Evaluation Code]
  
• Interpretable Medical Image Classification with Self-Supervised Anatomical Embedding and Prior Knowledge
  Ke Yan, Youbao Tang, Adam P Harrison, Jinzheng Cai, Le Lu, Jingjing Lu
  International Conference on Medical Imaging with Deep Learning (MIDL), 2021.
  
• E²Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans
  Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers
  International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI), 2020. [Early accept]
  
• One Click Lesion RECIST Measurement and Segmentation on CT Scans
  Youbao Tang, Ke Yan, Jing Xiao, Ronald M. Summers
  International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI), 2020. [Early accept]
  
• Cross-Domain Image Translation by Shared Latent Gaussian Mixture Model
  Yingying Zhu, Youbao Tang, Yuxing Tang, Daniel Elton, Sungwon Lee, Perry Pickhardt, Ronald M. Summers
  International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI), 2020.
  
• Weakly Supervised Lesion Co-segmentation on CT Scans
  Vatsal Agarwal*, Youbao Tang*, Jing Xiao, Ronald M. Summers
  IEEE International Symposium on Biomedical Imaging (ISBI), 2020. [Oral] (*Equal contribution)
  
• TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays
  Yuxing Tang, Youbao Tang, Veit Sanfort, Jing Xiao, Ronald M. Summers
  International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI), 2019.
  
• MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation
  Ke Yan, Youbao Tang, Yifan Peng, Veit Sanfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers
  International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI), 2019. [Code and Data]
  
• XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation
  Youbao Tang*, Yuxing Tang*, Jing Xiao, Ronald M. Summers
  International Conference on Medical Imaging with Deep Learning (MIDL), 2019. [Code, Data] (*Equal contribution)
  
• ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example Mining
  Youbao Tang, Ke Yan*, Yuxing Tang*, Jiamin Liu*, Jing Xiao, Ronald M. Summers
  IEEE International Symposium on Biomedical Imaging (ISBI), 2019. (*Equal contribution)
  
• Abnormal Chest X-ray Identification with Generative Adversarial One-Class Classifier
  Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers
  IEEE International Symposium on Biomedical Imaging (ISBI), 2019. [Oral & Travel Award]
  
• CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement
  Youbao Tang*, Jinzheng Cai*, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers
  International Conference on Machine Learning in Medical Imaging (MLMI), 2018. [Oral] (*Equal contribution)
  
• Semi-Automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks
  Youbao Tang, Adam P. Harrison, Mohammadhadi Bagheri, Jing Xiao, Ronald M. Summers
  International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI), 2018.
  
• Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST
  Jinzheng Cai*, Youbao Tang*, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers
  International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI), 2018. (*Equal contribution)
  
• CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation
  Dakai Jin, Ziyue Xu, Youbao Tang, Adam P. Harrison, Daniel Mollura
  International Conference on Medical Image Computing & Computer Assisted Intervention (MICCAI), 2018.
  
• Salient Object Detection with Chained Multi-Scale Fully Convolutional Network
  Youbao Tang, Xiangqian Wu
  ACM Multimedia Conference (ACMMM), 2017. [Results]
  
• Saliency Detection via Combining Region-level and Pixel-level Predictions with CNNs
  Youbao Tang, Xiangqian Wu
  European Conference on Computer Vision (ECCV), 2016. [Results]
  
• Deeply-Supervised Recurrent Convolutional Neural Network for Saliency Detection
  Youbao Tang, Xiangqian Wu, Wei Bu
  ACM Multimedia Conference (ACMMM), 2016. [Results]
  
• Saliency Detection Based on Graph-Structural Agglomerative Clustering
  Youbao Tang, Xiangqian Wu, Wei Bu
  ACM Multimedia Conference (ACMMM), 2015.
  

Clinical Abstracts

• Youbao Tang, et al. A Unified Framework for Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers. RSNA 2022.
  
• Ke Yan, Youbao Tang, et al. Interpretable Contrast Phase Classification in CT with Self-Supervised Deep Anatomical Embedding and Prior Knowledge. RSNA 2022. [Oral]
  
• Fernanda Gutierrez-Rodrigues, Eric Munger, Xiaoyang Ma, Youbao Tang, et al. Genomic-Based Machine Learning Towards Prediction of the Etiology of Bone Marrow Failure Syndromes. ASH 2021.
  
• Youbao Tang, et al. Accurate Weakly-supervised Volumetric Universal Lesion Segmentation Using Large-scale Clinical RECIST Diameter Annotations And Regional Level Set Loss. RSNA 2021. [Oral]
  
• Youbao Tang, et al. Automatic RECIST Measurement In Longitudinal CT Imaging Studies. RSNA 2021. [Oral]
  
• Youbao Tang, et al. Automatically, Precisely, And Comprehensively Measuring Tumor Sizes With Minimal Human Effort. RSNA 2021.
  
• Lianyan Xu, Ke Yan, Kai Cao, Ling Zhang, Jingjing Lu,Weihong Zhang, Jinzheng Cai, Youbao Tang, et al. Multi-organ Universal Lesion Detection In CT Scans: An Independent External Validation. RSNA 2021. [Oral]
  
• Youbao Tang, et al. One Click Guided Automatic RECIST Lesion Measurement and Segmentation on CT Scans. RSNA 2020. [Oral, Featured Paper, RSNA Trainee Research Prize]
  
• Youbao Tang, et al. Accurate Liver and Tumor Segmentation on CT Scans Using an Edge-enhanced Network. RSNA 2020. [Oral]
  
• Youbao Tang, et al. Making RECIST Measurements Easy: A Semi-Automated Deep Learning System With Expert-Equivalent Accuracy and Better Consistency. RSNA 2020. [Oral]
  
• Youbao Tang, et al. An Interpretable Generative Model for Chest X-ray Decomposition via Synthesizing Radio-realistic Normal Chest X-rays and Separating Abnormalities. RSNA 2019.
  
• Yuxing Tang, Youbao Tang, et al. Abnormal Chest X-Ray Identification with Generative Adversarial One-Class Classifier. RSNA 2019. [Oral, RSNA Trainee Research Prize]
  
• Ke Yan, Youbao Tang, et al. MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation in CT Images. RSNA 2019. [Oral]
  
• Youbao Tang, et al. Semi-Automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks. RSNA 2018.
  
• Youbao Tang, et al. CT Image Enhancement for Lesion Segmentation Using Stacked Generative Adversarial Networks. RSNA 2018.
  

Preprints

• HSTFormer: Hierarchical Spatial-Temporal Transformers for 3D Human Pose Estimation
  Xiaoye Qian*, Youbao Tang*, Ning Zhang, Mei Han, Jing Xiao, Ming-Chun Huang, Ruei-Sung Lin
  arXiv:2301.07322, 2023. [Code]
  
• Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST
  Jinzheng Cai*, Youbao Tang*, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers
  arXiv:1801.08614, 2018.
  

Reviews

• IEEE Transactions on Pattern Analysis and Machine Intelligence

• IEEE Transactions on Image Processing

• IEEE Transactions on Information Forensics and Security

• IEEE Transactions on Neural Networks and Learning Systems

• IEEE Transactions on Industrial Informatics

• IEEE Transactions on Medical Imaging

• IEEE Transactions on Multimedia

• IEEE Transactions on Circuits and Systems for Video Technology

• IEEE Transactions on Very Large Scale Integration Systems

• IEEE Transactions on Dependable and Secure Computing

• Medical Image Analysis

• Knowledge-Based Systems

• Neurocomputing

• Artificial Intelligence in Medicine

• American Journal of Roentgenology

• CVPR (2021 Outstanding Reviewer), ICLR, NeurIPS, ICCV, ECCV, AAAI, IJCAI, MICCAI, ICME, ICHI