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.
   
   
   
   
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 |
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