Yuxing Tang
Email : tangyuxing87 [AT] gmail [DOT] com
| CV | Google Scholar |
Yuxing Tang currently holds the position of Staff Algorithm Engineer at Alibaba DAMO Academy, USA. Prior to this role, he served as a Senior Research Scientist at PAII Inc. before being promoted to Staff. He also worked as a Postdoctoral Visiting Fellow at the National Institutes of Health (NIH) between 2017 and 2020. Yuxing earned his Ph.D. degree in Computer Science from Ecole Centrale de Lyon, France, in 2016. He completed his bachelor's and master's degrees at Beijing Jiaotong University, China.
His research expertise lies in the fields of computer vision and deep learning, with a particular focus on their applications in medical imaging, computer-aided diagnosis, and weakly supervised object/lesion detection.
News
| [Sept. 2025] | Our paper on Mamba-3D is accepted at NeurIPS 2025. |
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| [Aug. 2021] | Our work on the analysis of our AI model on BI-RADS 0 mammograms has been accepted for publication in European Radiology. |
| [July 2021] | Two scientific abstracts including one oral presentation are accepted at RSNA 2021. |
| [June 2021] | Our work on multi-view mass detection/segmentation in mammograms has been accepted for publication in Medical Image Analysis. |
| [May 2021] | Two co-authored papers are accepted at MICCAI 2021. Congratulations Yanbo and Zhenjie! |
| [Mar. 2021] | A first-authored paper on semi-supervised mass detection in mammograms is accepted at CVPR 2021. |
| [Dec. 2020] | Our work on universal lesion detection in CT has been accepted for publication in IEEE TMI. Congratulations to Ke! |
| [Nov. 2020] | Yet another work on few-shot learning in chest X-rays has been accepted for publication in Medical Image Analysis. Congratulations to Angshuman! |
| [Oct. 2020] | Our work on disease decomposition in chest X-rays has been accepted for publication in Medical Image Analysis. Congratulations to Youbao! |
| [June 2020] | Left the NIH and will be joining PAII Inc. as a senior research scientist. |
| [June 2020] | Received the Outstanding Reviewer Award at CVPR 2020. |
Awards
- CVPR Outstanding Reviewer Award, 2020
- RSNA Trainee Research Prize, 2019
- ISBI Travel Award, 2019
- IAPR Outstanding Reviewer Award, 2018
- CVPR Doctoral Consortium Travel Grant, 2016
Services
Journal reviews
IEEE TPAMI / TIP / TNNLS / TMI / TMM / TCSVT / JBHI / TBD / Access
Elsevier MedIA/ PR / PRL / NEUCOM
Nature Publication Group npj Digital Medicine / Scientific Reports
RSNA Radiology / Radiology: AI / Cardiothoracic Imaging
IET Computer Vision / Signal Processing / Image Processing / Electronics Letters
MDPI Sensors / Remote Sensing / Applied Sciences / Algorithms
SPIE Journal of Electronic Imaging
Medical Physics, PLOS ONE
Conference reviews or technical/program committee
CVPR 2018/2019/2020/2021, ICCV 2019, NeurIPS 2022, ICLR 2022, MICCAI 2018/2019, AAAI 2020, 2022, ECCV 2020, WACV 2022, ACCV 2018, ICHI 2019, PRCV 2019