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Youbao Tang 唐有宝
Senior Software Engineer at Google, US.
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News
2024-08-09: One paper is accepted by T-CAP Workshop at ECCV 2024. Congratulations to Vatsal!
2024-02-26: One paper is accepted by CVPR 2024. Congratulations to Canyu!
2023-02-15: One paper is accepted as oral by ICASSP 2023. Congratulations to Yifan!
2022-12-09: One paper is accepted by Blood (IF: 25.476), Journal of the American Society of Hematology. Congratulations to Fernanda!
2022-07-27: Tow scientific abstracts are accepted by 108th RSNA including one oral.
2022-06-22: One paper is accepted by Hepatology Communications. Congratulations to Jinzheng!
2022-06-02: One paper is accepted by MICCAI 2022.
2022-04-12: One paper is accepted by IEEE Transactions on Medical Imaging. Congratulations to Ke!
2021-12-28: One paper is accepted by Medical Image Analysis. Congratulations to Shuai!
2021-07-19: Four scientific abstracts are accepted by 107th RSNA including three orals.
2021-06-11: Two papers are accepted by MICCAI 2021 after rebuttal. Congratulations to Jieneng!
2021-05-14: One paper is early accepted by MICCAI 2021.
2021-05-11: One paper is accepted by MIDL 2021. Congratulations to Ke!
2021-02-28: One paper is accepted by CVPR 2021. Congratulations to Jinzheng!
2020-12-18: One paper is accepted by IEEE Transactions on Medical Imaging. Congratulations to Ke!
2020-09-21: Win the RSNA 2020 Trainee Research Prize.
2020-08-17: Three scientific abstracts are accepted as oral by 106th RSNA including a featured paper
2020-07-28: One paper is accepted by Medical Image Analysis.
2020-06-22: One paper is accepted by MICCAI 2020 after rebuttal. Congratulations to Yingying!
2020-05-18: Two papers are early accepted by MICCAI 2020.
2020-03-27: One paper is accepted by npj Digital Medicine. Congratulations to Yuxing!
2020-01-06: One paper is accepted by ISBI 2020. Congratulations to Vatsal Agarwal!
2019-10-15: Two papers are accepted by SPIE Medical Imaging 2020.
2019-07-18: Three scientific abstracts are accepted by 105th RSNA.
2019-06-29: Two papers are accepted by MICCAI 2019. Congratulations to Yuxing and Ke!
2019-02-28: One paper is accepted by MIDL 2019.
2019-01-29: Our paper is accepted by IEEE Transactions on Multimedia.
2018-12-18: Two papers are accepted by ISBI 2019.
2018-10-15: Two papers are accepted by SPIE Medical Imaging 2019.
2018-07-24: Two scientific abstracts are accepted by 104th RSNA.
2018-07-18: One paper is accepted by MLMI 2018.
2018-07-02: NVIDIA developer news about our MICCAI paper "Semi-Automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks".
2018-06-26: Win the NIH Fellows Award of Research Excellence (FARE) 2019 competition.
2018-06-12: NVIDIA developer news about our MICCAI paper "CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation".
2018-05-25: Three papers are accepted by MICCAI 2018.
2018-03-12: One paper is accepted by IEEE Transactions on Affective Computing. Congratulations to Sicheng!
2018-01-15: One paper is accepted by IEEE Transactions on Multimedia.
2017-07-02: One paper is accepted by ACMMM 2017.
2017-06-26: I start my postdoctoral fellowship in National Institutes of Health (NIH).
Biography
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I'm Youbao TANG from China. Now I am a Senior Software Engineer at Google, US.
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I was a Staff Research Scientist at PAII Inc. and a postdoc researcher in National Institutes of Health (NIH).
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I received the Bachelor, Master and Doctor degree in School of Computer Science and Technology from Harbin Institute of Technology (HIT).
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My research interests include computer vision, medical image processing, deep learning.
Selected Publications (full list)
Journals
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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.
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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.
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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.
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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.
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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.
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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]
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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.
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Salient Object Detection Using Cascaded Convolutional Neural Networks and Adversarial Learning
Youbao Tang, Xiangqian Wu
IEEE Transactions on Multimedia (TMM), 2019.
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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.
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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.
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Scene Text Detection and Segmentation via Cascaded Convolution Neural Networks
Youbao Tang, Xiangqian Wu
IEEE Transactions on Image Processing (TIP), 2017.
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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
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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]
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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.
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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]
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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.
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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]
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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.
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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]
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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]
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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.
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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]
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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]
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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.
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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)
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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.
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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]
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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)
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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)
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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]
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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)
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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.
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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)
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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.
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Salient Object Detection with Chained Multi-Scale Fully Convolutional Network
Youbao Tang, Xiangqian Wu
ACM Multimedia Conference (ACMMM), 2017. [Results]
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Saliency Detection via Combining Region-level and Pixel-level Predictions with CNNs
Youbao Tang, Xiangqian Wu
European Conference on Computer Vision (ECCV), 2016. [Results]
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Deeply-Supervised Recurrent Convolutional Neural Network for Saliency Detection
Youbao Tang, Xiangqian Wu, Wei Bu
ACM Multimedia Conference (ACMMM), 2016. [Results]
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Saliency Detection Based on Graph-Structural Agglomerative Clustering
Youbao Tang, Xiangqian Wu, Wei Bu
ACM Multimedia Conference (ACMMM), 2015.
Clinical Abstracts
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Youbao Tang, et al. A Unified Framework for Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers. RSNA 2022.
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Ke Yan, Youbao Tang, et al. Interpretable Contrast Phase Classification in CT with Self-Supervised Deep Anatomical Embedding and Prior Knowledge. RSNA 2022. [Oral]
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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.
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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]
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Youbao Tang, et al. Automatic RECIST Measurement In Longitudinal CT Imaging Studies. RSNA 2021. [Oral]
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Youbao Tang, et al. Automatically, Precisely, And Comprehensively Measuring Tumor Sizes With Minimal Human Effort. RSNA 2021.
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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]
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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]
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Youbao Tang, et al. Accurate Liver and Tumor Segmentation on CT Scans Using an Edge-enhanced Network. RSNA 2020. [Oral]
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Youbao Tang, et al. Making RECIST Measurements Easy: A Semi-Automated Deep Learning System With Expert-Equivalent Accuracy and Better Consistency. RSNA 2020. [Oral]
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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.
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Yuxing Tang, Youbao Tang, et al. Abnormal Chest X-Ray Identification with Generative Adversarial One-Class Classifier. RSNA 2019. [Oral, RSNA Trainee Research Prize]
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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]
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Youbao Tang, et al. Semi-Automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks. RSNA 2018.
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Youbao Tang, et al. CT Image Enhancement for Lesion Segmentation Using Stacked Generative Adversarial Networks. RSNA 2018.
Preprints
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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]
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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 Circuits and Systems for Video Technology
CVPR (2021 Outstanding Reviewer), ICLR, NeurIPS, ICCV, ECCV, AAAI, IJCAI, MICCAI, ICME, ICHI