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Senior Algorithm Engineer @ Alibaba DAMO Academy E-mail: jianpeng[dot]zhang0[at]gmail[dot]com |
Biography
I received my PhD degree from Northwestern Polytechnical University (NPU), China, in 2022, under the supervision of Prof. Yong Xia. I was also a research fellow at the Australia Institute for Machine Learning (AIML), University of Adelaide (UoA), Australia, jointly work with Dr. Johan Verjans. Before that, I was a visitor at UoA under the supervision of Prof. Chunhua Shen.
My research interests span a broad spectrum in the medical AI domain, including but not limited to self-supervised learning, partial label learning, and vision-language pre-training. The core objective of my work is to harness the potential of AI technology in clinical environments, thereby enhancing its value through direct applications that benefit healthcare professionals and patients alike.
We are recruiting interns with a passion and research background in medical image analysis or computer vision. If you are interested, please send me your resume.
News
[Mar 2024] I will serve as an Area Chair at MICCAI 2024!
[Feb 2024] Three papers on medical vision-language learning, continual self-supervised learning, and image registration have been accepted by CVPR 2024!
[Nov 2023] One paper on hybrid pre-training has been accepted by Medical Image Analysis!
[Aug 2023] One paper on partially label learning has been accepted by TPAMI!
[Jun 2023] One paper on 8-cancer screening has been accepted by ICCV 2023!
[Jun 2023] Six papers are accepted by MICCAI 2023!
[May 2023] Our survey paper on attention mechanisms in medical image segmentation is now available online!
[May 2023] Three papers are early accepted by MICCAI 2023!
[Aug 2022] I join the Alibaba DAMO Academy to begin my career in the industry!
[Jul 2022] Two papers on medical pre-training and multi-modal learning are accepted by ECCV 2022!
[Jun 2022] One paper on self-supervised learning is accepted by MICCAI 2022!
[Nov 2021] One paper on semi-supervised learning is accepted by IEEE-TIP!
[Sep 2021] Our team achieved the 4-th place on KiTS’21 challenge! Congrats to Xi!
[Jul 2021] Code of EfficientSeg is available!
[Jun 2021] CoTr is accepted by MICCAI 2021!
[Mar 2021] Code and pre-trained model of DoDNet are available!
[Mar 2021] Our paper on partially labeled multi-organ and tumors segmentation is accepted by CVPR 2021!
[Feb 2021] I am awarded as the IEEE TMI Distinguished Reviewer!
[Dec 2020] Code of ConResNet is available!
[Nov 2020] Our paper on viral pneumonia screening on chest X-rays is accepted by IEEE-TMI!
[Oct 2020] Our ConResNet for 3D medical image segmentation is accepted by IEEE-TMI!
[Oct 2020] Our EfficientSeg solution was nominated the honorable mention (3rd place) of MyoPS Challenge!