Towards Brain-inspired System: Deep Recurrent Reinforcement Learning for Simulated Self-driving Agent. - Jieneng Chen; Jingye Chen; Ruiming Zhang; Xiaobin Hu (CoRR, 2019)

Toward a Brain-Inspired System: Deep Recurrent Reinforcement Learning for a Simulated Self-Driving Agent. - Jieneng Chen; Jingye Chen; Ruiming Zhang; Xiaobin Hu (Frontiers Neurorobotics, 2019)

Deep Distance Transform for Tubular Structure Segmentation in CT Scans. - Yan Wang 033; Xu Wei; Fengze Liu; Jieneng Chen; Yuyin Zhou; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (CVPR, 2020)

CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans. - Tao Song 002; Jieneng Chen; Xiangde Luo; Yechong Huang; Xinglong Liu; Ning Huang; Yinan Chen; Zhaoxiang Ye; Huaqiang Sheng; Shaoting Zhang 001; Guotai Wang (MICCAI (6), 2020)

Semi-supervised Medical Image Segmentation through Dual-task Consistency. - Xiangde Luo; Jieneng Chen; Tao Song 002; Yinan Chen; Guotai Wang; Shaoting Zhang 001 (CoRR, 2020)

Semi-supervised Segmentation via Uncertainty Rectified Pyramid Consistency and Its Application to Gross Target Volume of Nasopharyngeal Carcinoma. - Xiangde Luo; Wenjun Liao; Jieneng Chen; Tao Song 002; Yinan Chen; Guotai Wang; Shaoting Zhang 001 (CoRR, 2020)

Coarse-to-Fine Adversarial Networks and Zone-Based Uncertainty Analysis for NK/T-Cell Lymphoma Segmentation in CT/PET Images. - Xiaobin Hu; Rui Guo; Jieneng Chen; Hongwei Li 004; Diana Waldmannstetter; Yu Zhao 009; Biao Li; Kuangyu Shi; Bjoern H. Menze (IEEE J. Biomed. Health Informatics, 2020)

Semi-supervised Medical Image Segmentation through Dual-task Consistency. - Xiangde Luo; Jieneng Chen; Tao Song 002; Guotai Wang (AAAI, 2021)

Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining. - Jieneng Chen; Ke Yan 006; Yu-Dong Zhang; Youbao Tang; Xun Xu; Shuwen Sun; Qiuping Liu; Lingyun Huang; Jing Xiao 006; Alan L. Yuille; Ya Zhang 002; Le Lu 001 (MICCAI (7), 2021)

Fully Test-Time Adaptation for Image Segmentation. - Minhao Hu; Tao Song 002; Yujun Gu; Xiangde Luo; Jieneng Chen; Yinan Chen; Ya Zhang 002; Shaoting Zhang 001 (MICCAI (3), 2021)

Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency. - Xiangde Luo; Wenjun Liao; Jieneng Chen; Tao Song 002; Yinan Chen; Shichuan Zhang; Nianyong Chen; Guotai Wang; Shaoting Zhang 001 (MICCAI (2), 2021)

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation. - Jieneng Chen; Yongyi Lu; Qihang Yu; Xiangde Luo; Ehsan Adeli 001; Yan Wang 033; Le Lu 001; Alan L. Yuille; Yuyin Zhou (CoRR, 2021)

SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation. - Boxiang Yun; Yan Wang 033; Jieneng Chen; Huiyu Wang; Wei Shen 002; Qingli Li (CoRR, 2021)

TransFG: A Transformer Architecture for Fine-grained Recognition. - Ju He; Jieneng Chen; Shuai Liu; Adam Kortylewski; Cheng Yang; Yutong Bai; Changhu Wang; Alan L. Yuille (CoRR, 2021)

PartImageNet: A Large, High-Quality Dataset of Parts. - Ju He; Shuo Yang; Shaokang Yang; Adam Kortylewski; Xiaoding Yuan; Jieneng Chen; Shuai Liu; Cheng Yang; Alan L. Yuille (CoRR, 2021)

MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and Classification. - Jingye Chen; Jieneng Chen; Zongwei Zhou; Bin Li 015; Alan L. Yuille; Yongyi Lu (CoRR, 2021)

TransFG: A Transformer Architecture for Fine-Grained Recognition. - Ju He; Jieneng Chen; Shuai Liu; Adam Kortylewski; Cheng Yang; Yutong Bai; Changhu Wang (AAAI, 2022)

TransMix: Attend to Mix for Vision Transformers. - Jieneng Chen; Shuyang Sun; Ju He; Philip H. S. Torr; Alan L. Yuille; Song Bai 001 (CVPR, 2022)

PartImageNet: A Large, High-Quality Dataset of Parts. - Ju He; Shuo Yang; Shaokang Yang; Adam Kortylewski; Xiaoding Yuan; Jieneng Chen; Shuai Liu; Cheng Yang; Qihang Yu; Alan L. Yuille (ECCV (8), 2022)

Synthetic Tumors Make AI Segment Tumors Better. - Qixin Hu; Junfei Xiao; Yixiong Chen; Shuwen Sun; Jieneng Chen; Alan L. Yuille; Zongwei Zhou (CoRR, 2022)

LUMix: Improving Mixup by Better Modelling Label Uncertainty. - Shuyang Sun; Jieneng Chen; Ruifei He; Alan L. Yuille; Philip H. S. Torr; Song Bai 001 (CoRR, 2022)

WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image. - Xiangde Luo; Wenjun Liao; Jianghong Xiao; Jieneng Chen; Tao Song 002; Xiaofan Zhang 002; Kang Li 004; Dimitris N. Metaxas; Guotai Wang; Shaoting Zhang 001 (Medical Image Anal., 2022)

SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching. - Xiangde Luo; Tao Song 002; Guotai Wang; Jieneng Chen; Yinan Chen; Kang Li 004; Dimitris N. Metaxas; Shaoting Zhang 001 (Medical Image Anal., 2022)

Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency. - Xiangde Luo; Guotai Wang; Wenjun Liao; Jieneng Chen; Tao Song 002; Yinan Chen; Shichuan Zhang; Dimitris N. Metaxas; Shaoting Zhang 001 (Medical Image Anal., 2022)

NeuroIV: Neuromorphic Vision Meets Intelligent Vehicle Towards Safe Driving With a New Database and Baseline Evaluations. - Guang Chen 001; Fa Wang; Weijun Li; Lin Hong; Jörg Conradt; Jieneng Chen; Zhenyan Zhang; Yiwen Lu; Alois C. Knoll (IEEE Trans. Intell. Transp. Syst., 2022)

Compositor: Bottom-Up Clustering and Compositing for Robust Part and Object Segmentation. - Ju He; Jieneng Chen; Ming-Xian Lin; Qihang Yu; Alan L. Yuille (CVPR, 2023)

Label-Free Liver Tumor Segmentation. - Qixin Hu; Yixiong Chen; Junfei Xiao; Shuwen Sun; Jieneng Chen; Alan L. Yuille; Zongwei Zhou (CVPR, 2023)

CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. - Jieneng Chen; Yingda Xia; Jiawen Yao; Ke Yan 006; Jianpeng Zhang; Le Lu 001; Fakai Wang; Bo Zhou 009; Mingyan Qiu; Qihang Yu; Mingze Yuan; Wei Fang 005; et al. (ICCV, 2023)

CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection. - Jie Liu 044; Yixiao Zhang 001; Jieneng Chen; Junfei Xiao; Yongyi Lu; Bennett A. Landman; Yixuan Yuan; Alan L. Yuille; Yucheng Tang; Zongwei Zhou (ICCV, 2023)

3D-TransUNet for Brain Metastases Segmentation in the BraTS2023 Challenge. - Siwei Yang; Xianhang Li; Jieru Mei; Jieneng Chen; Cihang Xie; Yuyin Zhou (BraTS/CrossMoDA@MICCAI, 2023)

Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. - Jieneng Chen; Yingda Xia; Jiawen Yao; Ke Yan 006; Jianpeng Zhang; Le Lu 001; Fakai Wang; Bo Zhou 009; Mingyan Qiu; Qihang Yu; Mingze Yuan; Wei Fang 005; et al. (CoRR, 2023)

3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers. - Jieneng Chen; Jieru Mei; Xianhang Li; Yongyi Lu; Qihang Yu; Qingyue Wei; Xiangde Luo; Yutong Xie 001; Ehsan Adeli 001; Yan Wang 033; Matthew P. Lungren; Lei Xing 001; et al. (CoRR, 2023)

Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning. - Ruxiao Duan; Yaoyao Liu 001; Jieneng Chen; Adam Kortylewski; Alan L. Yuille (CoRR, 2023)

ViTamin: Designing Scalable Vision Models in the Vision-Language Era. - Jieneng Chen; Qihang Yu; Xiaohui Shen; Alan L. Yuille; Liang-Chieh Chen (CVPR, 2024)

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? - 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 002; Junjun He; et al. (NeurIPS, 2024)

Efficient Large Multi-modal Models via Visual Context Compression. - Jieneng Chen; Luoxin Ye; Ju He; Zhaoyang Wang; Daniel Khashabi; Alan L. Yuille (NeurIPS, 2024)

LLaVolta: Efficient Multi-modal Models via Stage-wise Visual Context Compression. - Jieneng Chen; Luoxin Ye; Ju He; Zhaoyang Wang; Daniel Khashabi; Alan L. Yuille (CoRR, 2024)

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? - 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 002; Junjun He; et al. (CoRR, 2024)

Generative World Explorer. - Taiming Lu; Tianmin Shu; Alan L. Yuille; Daniel Khashabi; Jieneng Chen (CoRR, 2024)

3DSRBench: A Comprehensive 3D Spatial Reasoning Benchmark. - Wufei Ma; Haoyu Chen; Guofeng Zhang 025; Celso M. de Melo; Alan L. Yuille; Jieneng Chen (CoRR, 2024)

GenEx: Generating an Explorable World. - Taiming Lu; Tianmin Shu; Junfei Xiao; Luoxin Ye; Jiahao Wang 001; Cheng Peng 008; Chen Wei; Daniel Khashabi; Rama Chellappa; Alan L. Yuille; Jieneng Chen (CoRR, 2024)

TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers. - Jieneng Chen; Jieru Mei; Xianhang Li; Yongyi Lu; Qihang Yu; Qingyue Wei; Xiangde Luo; Yutong Xie 001; Ehsan Adeli 001; Yan Wang 033; Matthew P. Lungren; Shaoting Zhang 001; et al. (Medical Image Anal., 2024)

SpecTr: Spectral Transformer for Microscopic Hyperspectral Pathology Image Segmentation. - Boxiang Yun; Baiying Lei; Jieneng Chen; Huiyu Wang; Song Qiu; Wei Shen 002; Qingli Li; Yan Wang 033 (IEEE Trans. Circuits Syst. Video Technol., 2024)

SpatialLLM: A Compound 3D-Informed Design towards Spatially-Intelligent Large Multimodal Models. - Wufei Ma; Luoxin Ye; Celso M. de Melo; Alan L. Yuille; Jieneng Chen (CVPR, 2025)

Spatial457: A Diagnostic Benchmark for 6D Spatial Reasoning of Large Mutimodal Models. - Xingrui Wang; Wufei Ma; Tiezheng Zhang; Celso M. de Melo; Jieneng Chen; Alan L. Yuille (CVPR, 2025)

GenEx: Generating an Explorable World. - Taiming Lu; Tianmin Shu; Alan L. Yuille; Daniel Khashabi; Jieneng Chen (ICLR, 2025)

VM-Gait: Multi-Modal 3D Representation Based on Virtual Marker for Gait Recognition. - Zhao-Yang Wang; Jiang Liu 014; Jieneng Chen; Rama Chellappa (WACV, 2025)

PulseCheck457: A Diagnostic Benchmark for 6D Spatial Reasoning of Large Multimodal Models. - Xingrui Wang; Wufei Ma; Tiezheng Zhang; Celso M. de Melo; Jieneng Chen; Alan L. Yuille (CoRR, 2025)

SpatialReasoner: Towards Explicit and Generalizable 3D Spatial Reasoning. - Wufei Ma; Yu-Cheng Chou; Qihao Liu; Xingrui Wang; Celso de Melo; Jieneng Chen; Jianwen Xie; Alan L. Yuille (CoRR, 2025)

SpatialLLM: A Compound 3D-Informed Design towards Spatially-Intelligent Large Multimodal Models. - Wufei Ma; Luoxin Ye; Nessa McWeeney; Celso M. de Melo; Jieneng Chen; Alan L. Yuille (CoRR, 2025)

Medical World Model: Generative Simulation of Tumor Evolution for Treatment Planning. - Yijun Yang; Zhao-Yang Wang; Qiuping Liu; Shuwen Sun; Kang Wang 004; Rama Chellappa; Zongwei Zhou; Alan L. Yuille; Lei Zhu 003; Yu-Dong Zhang; Jieneng Chen (CoRR, 2025)

Learning Segmentation from Radiology Reports. - Pedro R. A. S. Bassi; Wenxuan Li; Jieneng Chen; Zheren Zhu; Tianyu Lin; Sergio Decherchi; Andrea Cavalli; Kang Wang 004; Yang Yang 009; Alan L. Yuille; Zongwei Zhou (CoRR, 2025)

Vision-Language-Vision Auto-Encoder: Scalable Knowledge Distillation from Diffusion Models. - Tiezheng Zhang; Yitong Li; Yu-Cheng Chou; Jieneng Chen; Alan L. Yuille; Chen Wei; Junfei Xiao (CoRR, 2025)

4D-Animal: Freely Reconstructing Animatable 3D Animals from Videos. - Shanshan Zhong; Jiawei Peng; Zehan Zheng; Zhongzhan Huang; Wufei Ma; Guofeng Zhang 025; Qihao Liu; Alan L. Yuille; Jieneng Chen (CoRR, 2025)