Asymmetric Two-Stream Architecture for Accurate RGB-D Saliency Detection. - Miao Zhang 004; Sun Xiao Fei; Jie Liu 044; Shuang Xu; Yongri Piao; Huchuan Lu (ECCV (28), 2020)

Dynamic Context-Sensitive Filtering Network for Video Salient Object Detection. - Miao Zhang 004; Jie Liu 044; Yifei Wang; Yongri Piao; Shunyu Yao 004; Wei Ji 011; Jingjing Li; Huchuan Lu; Zhongxuan Luo (ICCV, 2021)

COINet: Adaptive Segmentation with Co-Interactive Network for Autonomous Driving. - Jie Liu 044; Xiaoqing Guo; Baopu Li; Yixuan Yuan (IROS, 2021)

Joint Polyp Detection and Segmentation with Heterogeneous Endoscopic Data. - Wuyang Li; Chen Yang 026; Jie Liu 044; Xinyu Liu 001; Xiaoqing Guo; Yixuan Yuan (EndoCV@ISBI, 2021)

Prototypical Interaction Graph for Unsupervised Domain Adaptation in Surgical Instrument Segmentation. - Jie Liu 044; Xiaoqing Guo; Yixuan Yuan (MICCAI (3), 2021)

Coarse-to-fine multiplanar D-SEA UNet for automatic 3D carotid segmentation in CTA images. - Junjie Wang; Yuanyuan Yu; Rongyao Yan; Jie Liu 044; Hao Wu; Daoying Geng; Zekuan Yu (Int. J. Comput. Assist. Radiol. Surg., 2021)

MASG-GAN: A multi-view attention superpixel-guided generative adversarial network for efficient and simultaneous histopathology image segmentation and classification. - Huaqi Zhang; Jie Liu 044; Zekuan Yu; Pengyu Wang 005 (Neurocomputing, 2021)

SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation. - Xiaoqing Guo; Jie Liu 044; Tongliang Liu; Yixuan Yuan (CVPR, 2022)

Unknown-Oriented Learning for Open Set Domain Adaptation. - Jie Liu 044; Xiaoqing Guo; Yixuan Yuan (ECCV (33), 2022)

Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection. - Wei Ji 011; Jingjing Li; Qi Bi; Chuan Guo 002; Jie Liu 044; Li Cheng 001 (ICLR, 2022)

Edge-Oriented Point-Cloud Transformer for 3D Intracranial Aneurysm Segmentation. - Yifan Liu 010; Jie Liu 044; Yixuan Yuan (MICCAI (5), 2022)

Impaired functional network properties contribute to white matter hyperintensity related cognitive decline in patients with cerebral small vessel disease. - Yifan Wang; Xiao Liu; Ying Hu; Zekuan Yu; Tianhao Wu; Junjie Wang; Jie Liu 044; Jun Liu (BMC Medical Imaging, 2022)

Instance importance-Aware graph convolutional network for 3D medical diagnosis. - Zhen Chen 013; Jie Liu 044; Meilu Zhu; Yat Ming Peter Woo; Yixuan Yuan (Medical Image Anal., 2022)

GNAS-U2Net: A New Optic Cup and Optic Disc Segmentation Architecture With Genetic Neural Architecture Search. - Junding Sun; Chong Yao; Jie Liu 044; Weifan Liu; Zekuan Yu (IEEE Signal Process. Lett., 2022)

Cross-Boosted Multi-Target Domain Adaptation for Multi-Modality Histopathology Image Translation and Segmentation. - Huaqi Zhang; Jie Liu 044; Pengyu Wang 005; Zekuan Yu; Weifan Liu; Huang Chen (IEEE J. Biomed. Health Informatics, 2022)

Semantic-Oriented Labeled-to-Unlabeled Distribution Translation for Image Segmentation. - Xiaoqing Guo; Jie Liu 044; Yixuan Yuan (IEEE Trans. Medical Imaging, 2022)

Graph-Based Surgical Instrument Adaptive Segmentation via Domain-Common Knowledge. - Jie Liu 044; Xiaoqing Guo; Yixuan Yuan (IEEE Trans. Medical Imaging, 2022)

Adjustment and Alignment for Unbiased Open Set Domain Adaptation. - Wuyang Li; Jie Liu 044; Bo Han; Yixuan Yuan (CVPR, 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)

Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape. - Jiacong Xu; Yi Zhang 099; Jiawei Peng; Wufei Ma; Artur Jesslen; Pengliang Ji; Qixin Hu; Jiehua Zhang; Qihao Liu; Jiahao Wang 001; Wei Ji 011; Chen Wang 049; et al. (ICCV, 2023)

AbdomenAtlas-8K: Annotating 8, 000 CT Volumes for Multi-Organ Segmentation in Three Weeks. - Chongyu Qu; Tiezheng Zhang; Hualin Qiao; Jie Liu 044; Yucheng Tang; Alan L. Yuille; Zongwei Zhou (NeurIPS, 2023)

Annotating 8, 000 Abdominal CT Volumes for Multi-Organ Segmentation in Three Weeks. - Chongyu Qu; Tiezheng Zhang; Hualin Qiao; Jie Liu 044; Yucheng Tang; Alan L. Yuille; Zongwei Zhou (CoRR, 2023)

Bi-VLGM : Bi-Level Class-Severity-Aware Vision-Language Graph Matching for Text Guided Medical Image Segmentation. - Wenting Chen; Jie Liu 044; Yixuan Yuan (CoRR, 2023)

BTMF-GAN: A multi-modal MRI fusion generative adversarial network for brain tumors. - Xiao Liu; Hongyi Chen; Chong Yao; Rui Xiang; Kun Zhou; Peng Du; Weifan Liu; Jie Liu 044; Zekuan Yu (Comput. Biol. Medicine, 2023)

Handling Open-Set Noise and Novel Target Recognition in Domain Adaptive Semantic Segmentation. - Xiaoqing Guo; Jie Liu 044; Tongliang Liu; Yixuan Yuan (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

GRAB-Net: Graph-Based Boundary-Aware Network for Medical Point Cloud Segmentation. - Yifan Liu 010; Wuyang Li; Jie Liu 044; Hui Chen; Yixuan Yuan (IEEE Trans. Medical Imaging, 2023)

TUCNet: A channel and spatial attention-based graph convolutional network for teeth upsampling and completion. - Mengting Liu; Xiaojie Li; Jie Liu 044; Weifan Liu; Zekuan Yu (Comput. Biol. Medicine, 2023)

A Benchmark Dual-Modality Dental Imaging Dataset and a Novel Cognitively Inspired Pipeline for High-Resolution Dental Point Cloud Synthesis. - Zekuan Yu; Meijia Li; Jiacheng Yang; Zilong Chen; Huixian Zhang; Weifan Liu; Fang Kai Han; Jie Liu 044 (Cogn. Comput., 2023)

BTSC-TNAS: A neural architecture search-based transformer for brain tumor segmentation and classification. - Xiao Liu; Chong Yao; Hongyi Chen; Rui Xiang; Hao Wu; Peng Du; Zekuan Yu; Weifan Liu; Jie Liu 044; Daoying Geng (Comput. Medical Imaging Graph., 2023)

[inline-graphic not available: see fulltext] GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph. - Shaonan Liu; Wenting Chen; Jie Liu 044; Xiaoling Luo 001; Linlin Shen (MICCAI (1), 2024)

USCT: Uncertainty-regularized symmetric consistency learning for semi-supervised teeth segmentation in CBCT. - Yixin Jing; Jie Liu 044; Weifan Liu; Zhicheng Yang; Zhongwei Zhou; Zekuan Yu (Biomed. Signal Process. Control., 2024)

Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models. - Wenxuan Wang 001; Yihang Su; Jingyuan Huan; Jie Liu 044; Wenting Chen; Yudi Zhang 005; Cheng-Yi Li; Kao-Jung Chang; Xiaohan Xin; Linlin Shen; Michael R. Lyu (CoRR, 2024)

Spatial-temporal Hierarchical Reinforcement Learning for Interpretable Pathology Image Super-Resolution. - Wenting Chen; Jie Liu 044; Tommy W. S. Chow; Yixuan Yuan (CoRR, 2024)

GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph. - Shaonan Liu; Wenting Chen; Jie Liu 044; Xiaoling Luo 001; Linlin Shen (CoRR, 2024)

Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent. - Xingwu Sun; Yanfeng Chen; Yiqing Huang; Ruobing Xie; Jiaqi Zhu 004; Kai Zhang 033; Shuaipeng Li; Zhen Yang; Jonny Han; Xiaobo Shu; Jiahao Bu; Zhongzhi Chen; et al. (CoRR, 2024)

Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space is All You Need. - Kecheng Chen; Pingping Zhang; Hui Liu 036; Jie Liu 044; Yibing Liu; Jiaxin Huang; Shiqi Wang 001; Hong Yan 001; Haoliang Li (CoRR, 2024)

Medchain: Bridging the Gap Between LLM Agents and Clinical Practice through Interactive Sequential Benchmarking. - Jie Liu 044; Wenxuan Wang 001; Zizhan Ma; Guolin Huang; Yihang Su; Kao-Jung Chang; Wenting Chen; Haoliang Li; Linlin Shen; Michael R. Lyu (CoRR, 2024)

Universal and extensible language-vision models for organ segmentation and tumor detection from abdominal computed tomography. - Jie Liu 044; Yixiao Zhang 001; Kang Wang 004; Mehmet Can Yavuz; Xiaoxi Chen; Yixuan Yuan; Haoliang Li; Yang Yang 009; Alan L. Yuille; Yucheng Tang; Zongwei Zhou (Medical Image Anal., 2024)

Efficient 3D Representation Learning for Medical Image Analysis. - Yucheng Tang; Jie Liu 044; Zongwei Zhou; Xin Yu 010; Yuankai Huo (World Sci. Annu. Rev. Artif. Intell., 2024)

MHD-Net: Memory-Aware Hetero-Modal Distillation Network for Thymic Epithelial Tumor Typing With Missing Pathology Modality. - Huaqi Zhang; Jie Liu 044; Weifan Liu; Huang Chen; Zekuan Yu; Yixuan Yuan; Pengyu Wang 005; Jing Qin 001 (IEEE J. Biomed. Health Informatics, 2024)

Infproto-Powered Adaptive Classifier and Agnostic Feature Learning for Single Domain Generalization in Medical Images. - Xiaoqing Guo; Jie Liu 044; Yixuan Yuan (Int. J. Comput. Vis., 2024)

STAR-RL: Spatial-Temporal Hierarchical Reinforcement Learning for Interpretable Pathology Image Super-Resolution. - Wenting Chen; Jie Liu 044; Tommy W. S. Chow; Yixuan Yuan (IEEE Trans. Medical Imaging, 2024)

DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching. - Xiaofei Huang; Wenting Chen; Jie Liu 044; Qisheng Lu; Xiaoling Luo 001; Linlin Shen (AAAI, 2025)

Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models. - Jie Liu 044; Wenxuan Wang 001; Yihang Su; Jingyuan Huang; Yudi Zhang 005; Cheng-Yi Li; Wenting Chen; Xiaohan Xing; Kao-Jung Chang; Linlin Shen; Michael R. Lyu (ACL (1), 2025)

Q-PART: Quasi-Periodic Adaptive Regression with Test-time Training for Pediatric Left Ventricular Ejection Fraction Regression. - Jie Liu 044; Tiexin Qin; Hui Liu 036; Yilei Shi; Lichao Mou; Xiao Xiang Zhu 001; Shiqi Wang 001; Haoliang Li (CVPR, 2025)

pFedBCC: Personalizing Federated multi-target domain adaptive segmentation via Bi-pole Collaborative Calibration. - Huaqi Zhang; Pengyu Wang 005; Jie Liu 044; Jing Qin 001 (Comput. Methods Programs Biomed., 2025)

Enhancing Zero-Shot Image Recognition in Vision-Language Models through Human-like Concept Guidance. - Hui Liu 036; Wenya Wang 001; Kecheng Chen; Jie Liu 044; Yibing Liu; Tiexin Qin; Peisong He; Xinghao Jiang; Haoliang Li (CoRR, 2025)

Bi-VLGM: Bi-Level Class-Severity-Aware Vision-Language Graph Matching for Text Guided Medical Image Segmentation. - Wenting Chen; Jie Liu 044; Tianming Liu 001; Yixuan Yuan (Int. J. Comput. Vis., 2025)

Test-time Adaptation for Foundation Medical Segmentation Model without Parametric Updates. - Kecheng Chen; Xinyu Luo; Tiexin Qin; Jie Liu 044; Hui Liu 036; Victor Ho-fun Lee; Hong Yan 001; Haoliang Li (CoRR, 2025)

RAIL: Region-Aware Instructive Learning for Semi-Supervised Tooth Segmentation in CBCT. - Chuyu Zhao; Hao Huang; Jiashuo Guo; Ziyu Shen; Zhongwei Zhou; Jie Liu 044; Zekuan Yu (CoRR, 2025)

Unsupervised Domain Adaptation for Low-Dose CT Reconstruction via Bayesian Uncertainty Alignment. - Kecheng Chen; Jie Liu 044; Renjie Wan; Victor Ho-fun Lee; Varut Vardhanabhuti; Hong Yan 001; Haoliang Li (IEEE Trans. Neural Networks Learn. Syst., 2025)

Medical Reasoning in the Era of LLMs: A Systematic Review of Enhancement Techniques and Applications. - Wenxuan Wang 001; Zizhan Ma; Meidan Ding; Shiyi Zheng; Shengyuan Liu; Jie Liu 044; Jiaming Ji; Wenting Chen; Xiang Li 001; Linlin Shen; Yixuan Yuan (CoRR, 2025)

Beyond the Leaderboard: Rethinking Medical Benchmarks for Large Language Models. - Zizhan Ma; Wenxuan Wang 001; Guo Yu; Yiu-Fai Cheung; Meidan Ding; Jie Liu 044; Wenting Chen; Linlin Shen (CoRR, 2025)