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ORCIDJieneng Chen
- > Home > Persons > Jieneng Chen
Publications
- 2026
[c27]Shanshan Zhong, Jiawei Peng, Zehan Zheng, Zhongzhan Huang, Wufei Ma, Guofeng Zhang, Qihao Liu, Alan L. Yuille, Jieneng Chen:
4D-Animal: Freely Reconstructing Animatable 3D Animals from Videos. WACV 2026: 602-612- [i44]Wenxin Ma, Chenlong Wang, Ruisheng Yuan, Hao Chen, Nanru Dai, S. Kevin Zhou, Yijun Yang, Alan L. Yuille, Jieneng Chen:
CausalSpatial: A Benchmark for Object-Centric Causal Spatial Reasoning. CoRR abs/2601.13304 (2026) - [i43]Jieneng Chen, Wenxin Ma, Ruisheng Yuan, Yunzhi Zhang, Jiajun Wu, Alan L. Yuille:
Thinking with Spatial Code for Physical-World Video Reasoning. CoRR abs/2603.05591 (2026) - [i42]Yaohan Guan, Pristina Wang, Najim Dehak, Alan L. Yuille, Jieneng Chen, Daniel Khashabi:
GENFIG1: Visual Summaries of Scholarly Work as a Challenge for Vision-Language Models. CoRR abs/2604.04172 (2026) - [i41]Yifan Yin, Zehao Wen, Suyu Ye, Jieneng Chen, Zehan Zheng, Nanru Dai, Haojun Shi, Aydan Huang, Zheyuan Zhang, Alan L. Yuille, Jianwen Xie, Ayush Tewari, Tianmin Shu:
3D-Belief: Embodied Belief Inference via Generative 3D World Modeling. CoRR abs/2605.11367 (2026) - 2025
- [c26]Wufei Ma, Luoxin Ye, Celso M. de Melo, Alan L. Yuille, Jieneng Chen:
SpatialLLM: A Compound 3D-Informed Design towards Spatially-Intelligent Large Multimodal Models. CVPR 2025: 17249-17260 - [c25]Xingrui Wang
, Wufei Ma, Tiezheng Zhang, Celso M. de Melo, Jieneng Chen, Alan L. Yuille:
Spatial457: A Diagnostic Benchmark for 6D Spatial Reasoning of Large Mutimodal Models. CVPR 2025: 24669-24679 - [c23]Wufei Ma, Haoyu Chen, Guofeng Zhang, Yu-Cheng Chou, Jieneng Chen, Celso de Melo, Alan L. Yuille:
3DSRBENCH: A Comprehensive 3D Spatial Reasoning Benchmark. ICCV 2025: 6924-6934 - [c22]Yijun Yang, Zhao-Yang Wang, Qiuping Liu, Shuwen Sun, Kang Wang, Rama Chellappa, Zongwei Zhou, Alan L. Yuille, Lei Zhu, Yu-Dong Zhang, Jieneng Chen:
Medical World Model. ICCV 2025: 8319-8329 - [c21]Taiming Lu, Tianmin Shu, Alan L. Yuille, Daniel Khashabi, Jieneng Chen:
GenEx: Generating an Explorable World. ICLR 2025 - [c20]Pedro R. A. S. Bassi, Wenxuan Li, Jieneng Chen, Zheren Zhu, Tianyu Lin, Sergio Decherchi, Andrea Cavalli, Kang Wang, Yang Yang, Alan L. Yuille, Zongwei Zhou:
Learning Segmentation from Radiology Reports. MICCAI (5) 2025: 305-315 - [c19]Tiezheng Zhang, Yitong Li, Yu-Cheng Chou, Jieneng Chen, Alan L. Yuille, Chen Wei, Junfei Xiao:
Vision‑Language‑Vision Auto‑Encoder: Scalable Knowledge Distillation from Diffusion Models. NeurIPS 2025 - [i40]Xingrui Wang, Wufei Ma, Tiezheng Zhang, Celso M. de Melo, Jieneng Chen, Alan L. Yuille:
PulseCheck457: A Diagnostic Benchmark for 6D Spatial Reasoning of Large Multimodal Models. CoRR abs/2502.08636 (2025) - [i39]Wufei Ma, Yu-Cheng Chou, Qihao Liu, Xingrui Wang, Celso de Melo, Jieneng Chen, Jianwen Xie, Alan L. Yuille:
SpatialReasoner: Towards Explicit and Generalizable 3D Spatial Reasoning. CoRR abs/2504.20024 (2025) - [i38]Wufei Ma, Luoxin Ye, Nessa McWeeney, Celso M. de Melo, Jieneng Chen, Alan L. Yuille:
SpatialLLM: A Compound 3D-Informed Design towards Spatially-Intelligent Large Multimodal Models. CoRR abs/2505.00788 (2025) - [i37]Yijun Yang, Zhao-Yang Wang, Qiuping Liu, Shuwen Sun, Kang Wang, Rama Chellappa, Zongwei Zhou, Alan L. Yuille, Lei Zhu, Yu-Dong Zhang, Jieneng Chen:
Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning. CoRR abs/2506.02327 (2025) - [i36]Pedro R. A. S. Bassi, Wenxuan Li, Jieneng Chen, Zheren Zhu, Tianyu Lin, Sergio Decherchi, Andrea Cavalli, Kang Wang, Yang Yang, Alan L. Yuille, Zongwei Zhou:
Learning Segmentation from Radiology Reports. CoRR abs/2507.05582 (2025) - [i35]Tiezheng Zhang, Yitong Li, Yu-Cheng Chou, Jieneng Chen, Alan L. Yuille, Chen Wei, Junfei Xiao:
Vision-Language-Vision Auto-Encoder: Scalable Knowledge Distillation from Diffusion Models. CoRR abs/2507.07104 (2025) - [i34]Shanshan Zhong, Jiawei Peng, Zehan Zheng, Zhongzhan Huang, Wufei Ma, Guofeng Zhang, Qihao Liu, Alan L. Yuille, Jieneng Chen:
4D-Animal: Freely Reconstructing Animatable 3D Animals from Videos. CoRR abs/2507.10437 (2025) - [i32]Jiahao Wang, Luoxin Ye, Taiming Lu, Junfei Xiao, Jiahan Zhang, Yuxiang Guo, Xijun Liu, Rama Chellappa, Cheng Peng, Alan L. Yuille, Jieneng Chen:
EvoWorld: Evolving Panoramic World Generation with Explicit 3D Memory. CoRR abs/2510.01183 (2025) - [i29]Pedro R. A. S. Bassi, Xinze Zhou, Wenxuan Li, Szymon Plotka, Jieneng Chen, Qi Chen, Zheren Zhu, Jakub Przado, Ibrahim E. Hamaci, Sezgin Er, Yuhan Wang, Ashwin Kumar, Björn H. Menze, Jaroslaw B. Cwikla, Yuyin Zhou, Akshay S. Chaudhari, Curtis P. Langlotz, Sergio Decherchi, Andrea Cavalli, Kang Wang, Yang Yang, Alan L. Yuille, Zongwei Zhou:
Scaling Artificial Intelligence for Multi-Tumor Early Detection with More Reports, Fewer Masks. CoRR abs/2510.14803 (2025) - [i28]Jiahan Zhang, Muqing Jiang, Nanru Dai, Taiming Lu, Arda Uzunoglu, Shunchi Zhang, Yana Wei, Jiahao Wang, Vishal M. Patel, Paul Pu Liang, Daniel Khashabi, Cheng Peng, Rama Chellappa, Tianmin Shu, Alan L. Yuille, Yilun Du, Jieneng Chen:
World-in-World: World Models in a Closed-Loop World. CoRR abs/2510.18135 (2025) - 2024
- [j8]Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Shaoting Zhang, Lei Xing, Le Lu, Alan L. Yuille, Yuyin Zhou:
TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers. Medical Image Anal. 97: 103280 (2024) - [c17]Jieneng Chen, Qihang Yu, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen:
ViTamin: Designing Scalable Vision Models in the Vision-Language Era. CVPR 2024: 12954-12966 - [c16]Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jia-Xin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou:
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? NeurIPS 2024 - [c15]Jieneng Chen, Luoxin Ye, Ju He, Zhaoyang Wang, Daniel Khashabi, Alan L. Yuille:
Efficient Large Multi-modal Models via Visual Context Compression. NeurIPS 2024 - [i26]Jieneng Chen, Qihang Yu, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen:
ViTamin: Designing Scalable Vision Models in the Vision-Language Era. CoRR abs/2404.02132 (2024) - [i25]Jieneng Chen, Luoxin Ye, Ju He, Zhaoyang Wang, Daniel Khashabi, Alan L. Yuille:
LLaVolta: Efficient Multi-modal Models via Stage-wise Visual Context Compression. CoRR abs/2406.20092 (2024) - [i24]Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jiaxin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou:
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? CoRR abs/2411.03670 (2024) - [i23]Taiming Lu, Tianmin Shu, Alan L. Yuille, Daniel Khashabi, Jieneng Chen:
Generative World Explorer. CoRR abs/2411.11844 (2024) - [i22]Wufei Ma, Haoyu Chen, Guofeng Zhang, Celso M. de Melo, Alan L. Yuille, Jieneng Chen:
3DSRBench: A Comprehensive 3D Spatial Reasoning Benchmark. CoRR abs/2412.07825 (2024) - [i21]Taiming Lu, Tianmin Shu, Junfei Xiao, Luoxin Ye, Jiahao Wang, Cheng Peng, Chen Wei, Daniel Khashabi, Rama Chellappa, Alan L. Yuille, Jieneng Chen:
GenEx: Generating an Explorable World. CoRR abs/2412.09624 (2024) - 2023
- [c14]Qixin Hu, Yixiong Chen, Junfei Xiao, Shuwen Sun, Jieneng Chen, Alan L. Yuille, Zongwei Zhou:
Label-Free Liver Tumor Segmentation. CVPR 2023: 7422-7432 - [c13]Ju He, Jieneng Chen, Ming-Xian Lin, Qihang Yu, Alan L. Yuille:
Compositor: Bottom-Up Clustering and Compositing for Robust Part and Object Segmentation. CVPR 2023: 11259-11268 - [c12]Jie Liu, Yixiao Zhang, Jieneng Chen, Junfei Xiao, Yongyi Lu, Bennett A. Landman, Yixuan Yuan, Alan L. Yuille, Yucheng Tang, Zongwei Zhou:
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection. ICCV 2023: 21095-21107 - [c11]Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang:
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. ICCV 2023: 21270-21281 - [i20]Jie Liu, Yixiao Zhang, Jieneng Chen, Junfei Xiao, Yongyi Lu, Bennett A. Landman, Yixuan Yuan, Alan L. Yuille, Yucheng Tang, Zongwei Zhou:
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection. CoRR abs/2301.00785 (2023) - [i19]Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang:
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. CoRR abs/2301.12291 (2023) - [i18]Qixin Hu, Yixiong Chen, Junfei Xiao, Shuwen Sun, Jieneng Chen, Alan L. Yuille, Zongwei Zhou:
Label-Free Liver Tumor Segmentation. CoRR abs/2303.14869 (2023) - [i17]Ju He, Jieneng Chen, Ming-Xian Lin, Qihang Yu, Alan L. Yuille:
Compositor: Bottom-up Clustering and Compositing for Robust Part and Object Segmentation. CoRR abs/2306.07404 (2023) - [i16]Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Lei Xing, Le Lu, Alan L. Yuille, Yuyin Zhou:
3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers. CoRR abs/2310.07781 (2023) - [i15]Ruxiao Duan, Yaoyao Liu, Jieneng Chen, Adam Kortylewski, Alan L. Yuille:
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning. CoRR abs/2311.18266 (2023) - 2022
- [c8]Jieneng Chen, Shuyang Sun, Ju He, Philip H. S. Torr, Alan L. Yuille, Song Bai:
TransMix: Attend to Mix for Vision Transformers. CVPR 2022: 12125-12134 - [c7]Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jieneng Chen, Shuai Liu, Cheng Yang, Qihang Yu, Alan L. Yuille:
PartImageNet: A Large, High-Quality Dataset of Parts. ECCV (8) 2022: 128-145 - [i14]Qixin Hu, Junfei Xiao, Yixiong Chen, Shuwen Sun, Jieneng Chen, Alan L. Yuille, Zongwei Zhou:
Synthetic Tumors Make AI Segment Tumors Better. CoRR abs/2210.14845 (2022) - [i13]Shuyang Sun, Jieneng Chen, Ruifei He, Alan L. Yuille, Philip H. S. Torr, Song Bai:
LUMix: Improving Mixup by Better Modelling Label Uncertainty. CoRR abs/2211.15846 (2022) - 2021
- [c3]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:
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining. MICCAI (7) 2021: 764-774 - [i12]Jieneng Chen, Yongyi Lu, Qihang Yu, Xiangde Luo, Ehsan Adeli, Yan Wang, Le Lu, Alan L. Yuille, Yuyin Zhou:
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation. CoRR abs/2102.04306 (2021) - [i10]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:
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining. CoRR abs/2103.05170 (2021) - [i9]Ju He, Jieneng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan L. Yuille:
TransFG: A Transformer Architecture for Fine-grained Recognition. CoRR abs/2103.07976 (2021) - [i7]Jieneng Chen, Shuyang Sun, Ju He, Philip H. S. Torr, Alan L. Yuille, Song Bai:
TransMix: Attend to Mix for Vision Transformers. CoRR abs/2111.09833 (2021) - [i6]Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jieneng Chen, Shuai Liu, Cheng Yang, Alan L. Yuille:
PartImageNet: A Large, High-Quality Dataset of Parts. CoRR abs/2112.00933 (2021) - [i5]Jingye Chen, Jieneng Chen, Zongwei Zhou, Bin Li, Alan L. Yuille, Yongyi Lu:
MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and Classification. CoRR abs/2112.01767 (2021) - 2020
- [c2]Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Deep Distance Transform for Tubular Structure Segmentation in CT Scans. CVPR 2020: 3832-3841 - 2019
- [i1]Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Deep Distance Transform for Tubular Structure Segmentation in CT Scans. CoRR abs/1912.03383 (2019)
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