Jieneng Chen

Jieneng is a fourth-year Ph.D. student in Computer Science at Johns Hopkins University, advised by Distinguished Professor Alan Yuille. He is a member of the CCVL (Computational Cognition, Vision, and Learning) since 2020. He had the fortunate opportunity to intern with Liang-Chieh Chen at TikTok and Le Lu at Damo Academy.

🤖 Currently he explores the design and scaling of vision encoders for visual perception, medical AI, vision-language models, and large multi-modal models.

🤗 Please feel free to send an email if you're interested.


               

profile photo
Publications

Full list on Google Scholar Profile. He authored papers with over 6,000 citations.



Designing Scalable Vision Models in the Vision-Language Era
Jieneng Chen, Qihang Yu, Xiaohui Shen, Alan Yuille, Liang-Chieh Chen

In Conference on Computer Vision and Pattern Recognition (CVPR), 2024


Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers
Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, .., Jingren Zhou, Alan Yuille, Zaiyi Liu, Ling Zhang

In International Conference on Computer Vision (ICCV), 2023
Paper


Compositor: Bottom-up Clustering and Compositing for Robust Part and Object Segmentation
Ju He *, Jieneng Chen *, Mingxian Lin, Qihang Yu, Alan Yuille

In Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Paper | * Equal contributed


TransMix: Attend to Mix for Vision Transformers
Jieneng Chen, Shuyang Sun, Ju He, Philip Torr, Alan Yuille, Song Bai

In Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Paper | Code


LUMix: Improving Mixup by Better Modelling Label Uncertainty
Shuyang Sun *, Jieneng Chen *, Ruifei He, Alan Yuille, Philip Torr, Song Bai

In International Conference on Acoustics, Speech, and Signal Processing (ICASSP), arXiv 2022
Paper | * Equal contributed


TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
Jieneng Chen, Yongyi Lu, Qihang Yu, Xiangde Luo, Ehsan Adeli, Yan Wang, Le Lu, Alan Yuille, Yuyin Zhou

Technical Report, International Conference on Marchine Learning (ICML) workshop, arXiv 2021
Paper | Code | GitHub Stars Badge


TransFG: A Transformer Architecture for Fine-grained Recognition
Ju He, Jieneng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille

In AAAI Conference on Artificial Intelligence (AAAI), 2022
Paper | Code


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

In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Paper | Early Accept | Travel Award


CPM-Net: A 3D center-points matching network for pulmonary nodule detection in CT scans
Tao Song *, Jieneng Chen *, Xiangde Luo, Yechong Huang, Xinglong Liu, Ning Huang, Yinan Chen, Zhaoxiang Ye, Huaqiang Sheng, Shaoting Zhang, Guotai Wang

In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
Paper | Early Accept


Serving: invited reviewer and program committee for major conference and journals, such as TPAMI, CVPR, ICCV, ECCV, ICML, TMI and MICCAI